Quantitative Detection of Residual E. coli Host Cell DNA by Real-Time PCR

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欧洲药典重金属及溶残方法

欧洲药典重金属及溶残方法

01/2005:504005.4.RESIDUAL SOLVENTSLIMITING RESIDUAL SOLVENT LEVELS IN ACTIVE SUBSTANCES,EXCIPIENTS AND MEDICINAL PRODUCTSThe International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use(ICH)has adopted Impurities Guidelines for Residual Solvents which prescribes limits for the content of solvents which may remain in active substances,excipients and medicinal products after processing.This guideline, the text of which is reproduced below,excludes existing marketed products.The European Pharmacopoeia is, however,applying the same principles enshrined in the guideline to existing active substances,excipients and medicinal products whether or not they are the subject of a monograph of the Pharmacopoeia.All substances and products are to be tested for the content of solvents likely to be present in a substance or product.Where the limits to be applied comply with those given below,tests for residual solvents are not generally mentioned in specific monographs since the solvents employedmay vary from one manufacturer to another and the requirements of this general chapter are applied via the general monograph on Substances for Pharmaceutical Use(2034).The competent authority is to be informedof the solvents employed during the production process. This information is also given in the dossier submitted for a certificate of suitability of the monographs of the European Pharmacopoeia and is mentioned on the certificate. Where only Class3solvents are used,a test for loss on drying may be applied or a specific determination of the solvent may be made.If for a Class3solvent a justified and authorised limit higher than0.5per cent is applied,a specific determination of the solvent is required.When Class1residual solvents or Class2residual solvents (or Class3residual solvents which exceed the0.5per cent) are used,the methodology described in the general method (2.4.24)is to be applied wherever possible.Otherwise an appropriate validated method is to be employed.When a quantitative determination of a residual solventis carried out,the result is taken into account for the calculation of the content of the substance except where a test for drying is carried out.IMPURITIES:GUIDELINESFOR RESIDUAL SOLVENTS(CPMP/ICH/283/95)1.INTRODUCTION2.SCOPE OF THE GUIDELINE3.GENERAL PRINCIPLES3.1.CLASSIFICATION OF RESIDUAL SOLVENTS BY RISK ASSESSMENT3.2.METHODS FOR ESTABLISHING EXPOSURE LIMITS 3.3.OPTIONS FOR DESCRIBING LIMITS OF CLASS2 SOLVENTS3.4.ANALYTICAL PROCEDURES3.5.REPORTING LEVELS OF RESIDUAL SOLVENTS4.LIMITS OF RESIDUAL SOLVENTS4.1.SOLVENTS TO BE AVOIDED4.2.SOLVENTS TO BE LIMITED4.3.SOLVENTS WITH LOW TOXIC POTENTIAL4.4.SOLVENTS FOR WHICH NO ADEQUATE TOXICOLOGICAL DATA WAS FOUNDGLOSSARYAPPENDIX1.LIST OF SOLVENTS INCLUDED IN THE GUIDELINEAPPENDIX2.ADDITIONAL BACKGROUNDA2.1:ENVIRONMENTAL REGULATION OF ORGANIC VOLATILE SOLVENTSA2.2:RESIDUAL SOLVENTS IN PHARMACEUTICALS APPENDIX3.METHODS FOR ESTABLISHING EXPOSURE LIMITS1.INTRODUCTIONThe objective of this guideline is to recommend acceptable amounts of residual solvents in pharmaceuticals for the safety of the patient.The guideline recommends the useof less toxic solvents and describes levels considered to be toxicologically acceptable for some residual solvents. Residual solvents in pharmaceuticals are defined here as organic volatile chemicals that are used or produced in the manufacture of active substances or excipients,or in the preparation of medicinal products.The solvents are not completely removed by practical manufacturing techniques. Appropriate selection of the solvent for the synthesis of active substance may enhance the yield,or determine characteristics such as crystal form,purity,and solubility. Therefore,the solvent may sometimes be a critical parameter in the synthetic process.This guideline does not address solvents deliberately used as excipients nor does it address solvates.However,the content of solvents in such products should be evaluated and justified.Since there is no therapeutic benefit from residual solvents, all residual solvents should be removed to the extent possible to meet product specifications,good manufacturing practices,or other quality-based requirements.Medicinal products should contain no higher levels of residual solvents than can be supported by safety data.Some solvents that are known to cause unacceptable toxicities(Class1,Table1) should be avoided in the production of active substances, excipients,or medicinal products unless their use can be strongly justified in a risk-benefit assessment.Some solvents associated with less severe toxicity(Class2,Table2)should be limited in order to protect patients from potential adverse effects.Ideally,less toxic solvents(Class3,Table3)should be used where practical.The complete list of solvents included in this guideline is given in Appendix1.The lists are not exhaustive and other solvents can be used and later added to the lists.Recommended limits of Class1 and2solvents or classification of solvents may change as new safety data becomes available.Supporting safety data in a marketing application for a new medicinal product containing a new solvent may be based on concepts inthis guideline or the concept of qualification of impurities as expressed in the guideline for active substances(Q3A,Impurities in New Active Substances)or medicinal products (Q3B,Impurities in New Medicinal Products),or all three guidelines.2.SCOPE OF THE GUIDELINEResidual solvents in active substances,excipients,and in medicinal products are within the scope of this guideline. Therefore,testing should be performed for residual solvents when production or purification processes are known to result in the presence of such solvents.It is only necessary to test for solvents that are used or produced in the manufacture or purification of active substances,excipients, or medicinal product.Although manufacturers may choose to test the medicinal product,a cumulative method may be used to calculate the residual solvent levels in the medicinal product from the levels in the ingredients used to produce the medicinal product.If the calculation results in a level equal to or below that recommended in this guideline,no testing of the medicinal product for residual solvents need be considered.If however,the calculated level is above the recommended level,the medicinal product should be tested to ascertain whether the formulation process has reduced the relevant solvent level to within the acceptable amount. Medicinal product should also be tested if a solvent is used during its manufacture.This guideline does not apply to potential new active substances,excipients,or medicinal products used during the clinical research stages of development,nor does it apply to existing marketed medicinal products.The guideline applies to all dosage forms and routes of administration.Higher levels of residual solvents may be acceptable in certain cases such as short term(30days or less)or topical application.Justification for these levels should be made on a case by case basis.See Appendix2for additional background information related to residual solvents.3.GENERAL PRINCIPLES3.1.CLASSIFICATION OF RESIDUAL SOLVENTS BY RISK ASSESSMENTThe term“tolerable daily intake”(TDI)is used by the International Program on Chemical Safety(IPCS)to describe exposure limits of toxic chemicals and“acceptable daily intake”(ADI)is used by the World Health Organisation (WHO)and other national and international health authorities and institutes.The new term“permitted daily exposure”(PDE)is defined in the present guideline as a pharmaceutically acceptable intake of residual solvents to avoid confusion of differing values for ADI’s of the same substance.Residual solvents assessed in this guideline are listed in Appendix1by common names and structures.They were evaluated for their possible risk to human health and placed into one of three classes as follows:Class1solvents:Solvents to be avoidedKnown human carcinogens,strongly suspected human carcinogens,and environmental hazards.Class2solvents:Solvents to be limitedNon-genotoxic animal carcinogens or possible causative agents of other irreversible toxicity such as neurotoxicity or teratogenicity.Solvents suspected of other significant but reversibletoxicities.Class3solvents:Solvents with low toxic potential Solvents with low toxic potential to man;no health-based exposure limit is needed.Class3solvents have PDEs of 50mg or more per day.3.2.METHODS FOR ESTABLISHING EXPOSURE LIMITS The method used to establish permitted daily exposures for residual solvents is presented in Appendix3.Summariesof the toxicity data that were used to establish limits are published in Pharmeuropa,Vol.9,No.1,Supplement April 1997.3.3.OPTIONS FOR DESCRIBING LIMITS OF CLASS2 SOLVENTSTwo options are available when setting limits for Class2 solvents.Option1:The concentration limits in ppm stated in Table2 can be used.They were calculated using equation(1)below by assuming a product mass of10g administered daily.(1)Here,PDE is given in terms of mg/day and dose is givenin g/day.These limits are considered acceptable for all substances, excipients,or products.Therefore this option may be applied if the daily dose is not known or fixed.If all excipients and active substances in a formulation meet the limits givenin Option1,then these components may be used in any proportion.No further calculation is necessary provided the daily dose does not exceed10g.Products that are administered in doses greater than10g per day should be considered under Option2.Option2:It is not considered necessary for each component of the medicinal product to comply with the limits givenin Option1.The PDE in terms of mg/day as stated in Table2can be used with the known maximum daily dose and equation(1)above to determine the concentrationof residual solvent allowed in a medicinal product.Such limits are considered acceptable provided that is has been demonstrated that the residual solvent has been reducedto the practical minimum.The limits should be realistic in relation to analytical precision,manufacturing capability, reasonable variation in the manufacturing process,and the limits should reflect contemporary manufacturing standards. Option2may be applied by adding the amounts of a residual solvent present in each of the components of the medicinal product.The sum of the amounts of solvent per day should be less than that given by the PDE.Consider an example of the use of Option l and Option2 applied to acetonitrile in a medicinal product.The permitted daily exposure to acetonitrile is4.1mg per day;thus,the Option1limit is410ppm.The maximum administered daily mass of a medicinal product is5.0g,and the medicinal product contains two excipients.The composition of the medicinal product and the calculated maximum content of residual acetonitrile are given in the following table. Component Amount informulationAcetonitrilecontentDailyexposure Active substance0.3g800ppm0.24mg Excipient10.9g400ppm0.36mg Excipient2 3.8g800ppm 3.04mg Medicinal product 5.0g728ppm 3.64mg Excipient l meets the Option l limit,but the drug substance, excipient2,and medicinal product do not meet the Option l limit.Nevertheless,the product meets the Option2limit of 4.l mg per day and thus conforms to the recommendations in this guideline.Consider another example using acetonitrile as residual solvent.The maximum administered daily mass of a medicinal product is5.0g,and the medicinal product contains two excipients.The composition of the medicinal product and the calculated maximum content of residual acetonitrile is given in the following table.Component Amount informulation AcetonitrilecontentDailyexposureActive substance0.3g800ppm0.24mg Excipient10.9g2000ppm 1.80mg Excipient2 3.8g800ppm 3.04mg Medicinal product 5.0g1016ppm 5.08mgIn this example,the product meets neither the Option1 nor the Option2limit according to this summation.The manufacturer could test the medicinal product to determine if the formulation process reduced the level of acetonitrile.If the level of acetonitrile was not reduced during formulation to the allowed limit,then the manufacturer of the medicinal product should take other steps to reduce the amount of acetonitrile in the medicinal product.If all of these steps fail to reduce the level of residual solvent,in exceptional cases the manufacturer could provide a summary of efforts made to reduce the solvent level to meet the guideline value, and provide a risk-benefit analysis to support allowing the product to be utilised containing residual solvent at a higher level.3.4.ANALYTICAL PROCEDURESResidual solvents are typically determined using chromatographic techniques such as gas chromatography. Any harmonised procedures for determining levels of residual solvents as described in the pharmacopoeias should be used,if feasible.Otherwise,manufacturers would be free to select the most appropriate validated analytical procedure for a particular application.If only Class3solvents are present,a non-specific method such as loss on drying may be used.Validation of methods for residual solvents should conform to ICH guidelines“Text on Validation of Analytical Procedures”and“Extension of the ICH Text on Validation of Analytical Procedures”.3.5.REPORTING LEVELS OF RESIDUAL SOLVENTS Manufacturers of pharmaceutical products need certain information about the content of residual solvents in excipients or active substances in order to meet the criteria of this guideline.The following statements are given as acceptable examples of the information that could be provided from a supplier of excipients or active substances to a pharmaceutical manufacturer.The supplier might choose one of the following as appropriate:—Only Class3solvents are likely to be present.Loss on drying is less than0.5per cent.—Only Class2solvents X,Y,...are likely to be present.All are below the Option1limit(Here the supplier would name the Class2solventsrepresented by X,Y,...)—Only Class2solvents X,Y,...and Class3solvents are likely to be present.Residual Class2solvents are below the Option1limit and residual Class3solvents are below0.5per cent.If Class1solvents are likely to be present,they should be identified and quantified.“Likely to be present”refers to the solvent used in the final manufacturing step and to solvents that are used in earlier manufacturing steps and not removed consistently by a validated process.If solvents of Class2or Class3are present at greater than their Option1limits or0.5per cent,respectively,they should be identified and quantified.4.LIMITS OF RESIDUAL SOLVENTS4.1.SOLVENTS TO BE AVOIDEDSolvents in Class1should not be employed in the manufacture of active substances,excipients,and medicinal products because of their unacceptable toxicity or their deleterious environmental effect.However,if their use is unavoidable in order to produce a medicinal product with a significant therapeutic advance,then their levels should be restricted as shown in Table1,unless otherwise justified. 1,1,1-Trichloroethane is included in Table1because it is an environmental hazard.The stated limit of1500ppm is based on a review of the safety data.Table1.–Class1solvents in pharmaceutical products(solvents that should be avoided)Solvent Concentration limit(ppm)Concern Benzene2CarcinogenCarbon tetrachloride4Toxic and environmental hazard 1,2-Dichloroethane5Toxic1,1-Dichloroethene8Toxic1,1,1-Trichloroethane1500Environmental hazard 4.2.SOLVENTS TO BE LIMITEDSolvents in Table2should be limited in pharmaceutical products because of their inherent toxicity.PDEs are given to the nearest0.1mg/day,and concentrations are given to the nearest10ppm.The stated values do not reflect the necessary analytical precision of determination.Precision should be determined as part of the validation of the method. Table2.–Class2solvents in pharmaceutical products Solvent PDE(mg/day)Concentration limit(ppm) Acetonitrile 4.1410 Chlorobenzene 3.6360 Chloroform0.660 Cyclohexane38.838801,2-Dichloroethene18.71870 Dichloromethane 6.06001,2-Dimethoxyethane 1.0100N,N-Dimethylacetamide10.91090N,N-Dimethylformamide8.88801,4-Dioxane 3.83802-Ethoxyethanol 1.6160 Ethyleneglycol 6.2620 Formamide 2.2220 Hexane 2.9290 Methanol30.030002-Methoxyethanol0.550 Methylbutylketone0.550 Methylcyclohexane11.81180N-Methylpyrrolidone 5.3530 Nitromethane0.550 Pyridine 2.0200Solvent(mg/day)Concentration limit(ppm)Sulfolane 1.6160 Tetrahydrofuran7.2720Tetralin 1.0100 Toluene8.98901,1,2-Trichloroethene0.880Xylene*21.72170*usually60per cent m-xylene,14per cent p-xylene,9per cent o-xylene with17per cent ethyl benzene4.3.SOLVENTS WITH LOW TOXIC POTENTIAL Solvents in Class3(shown in Table3)may be regardedas less toxic and of lower risk to human health.Class3 includes no solvent known as a human health hazard at levels normally accepted in pharmaceuticals.However,there are no long-term toxicity or carcinogenicity studies for many of the solvents in Class3.Available data indicate that they are less toxic in acute or short-term studies and negative in genotoxicity studies.It is considered that amounts of these residual solvents of50mg per day or less(correspondingto5000ppm or0.5per cent under Option l)would be acceptable without justification.Higher amounts may also be acceptable provided they are realistic in relation to manufacturing capability and good manufacturing practice. Table3.–Class3solvents which should be limited by GMP or other quality-based requirementsAcetic acid HeptaneAcetone Isobutyl acetateAnisole Isopropyl acetate1-Butanol Methyl acetate2-Butanol3-Methyl-1-butanolButyl acetate Methylethylketonetert-Butylmethyl ether MethylisobutylketoneCumene2-Methyl-l-propanolDimethyl sulphoxide PentaneEthanol1-PentanolEthyl acetate1-PropanolEthyl ether2-PropanolEthyl formate Propyl acetateFormic acid4.4.SOLVENTS FOR WHICH NO ADEQUATE TOXICOLOGICAL DATA WAS FOUNDThe following solvents(Table4)may also be of interest to manufacturers of excipients,active substances,or medicinal products.However,no adequate toxicological data on which to base a PDE was found.Manufacturers should supply justification for residual levels of these solvents in pharmaceutical products.Table4.–Solvents for which no adequate toxicologicaldata was found1,1-Diethoxypropane Methylisopropylketone1,1-Dimethoxymethane Methyltetrahydrofuran2,2-Dimethoxypropane Petroleum etherIsooctane Trichloroacetic acidIsopropyl ether Trifluoroacetic acidGLOSSARYGenotoxic carcinogens:Carcinogens which produce cancer by affecting genes or chromosomes.LOEL:Abbreviation for lowest-observed effect level.Lowest-observed effect level:The lowest dose of substance in a study or group of studies that produces biologically significant increases in frequency or severity of any effects in the exposed humans or animals.Modifying factor:A factor determined by professional judgement of a toxicologist and applied to bioassay data to relate that data safely to humans.Neurotoxicity:The ability of a substance to cause adverse effects on the nervous system.NOEL:Abbreviation for no-observed-effect level.No-observed-effect level:The highest dose of substanceat which there are no biologically significant increases in frequency or severity of any effects in the exposed humans or animals.PDE:Abbreviation for permitted daily exposure.Permitted daily exposure:The maximum acceptable intake per day of residual solvent in pharmaceutical products.Reversible toxicity:The occurrence of harmful effectsthat are caused by a substance and which disappear after exposure to the substance ends.Strongly suspected human carcinogen:A substance for which there is no epidemiological evidence of carcinogenesis but there are positive genotoxicity data and clear evidence of carcinogenesis in rodents.Teratogenicity:The occurrence of structural malformations in a developing foetus when a substance is administered during pregnancy.APPENDIX 1.LIST OF SOLVENTS INCLUDED IN THE GUIDELINESolvent Other Names Structure Class Acetic acid Ethanoic acid CH 3COOH Class 3Acetone 2-Propanone Propan-2-oneCH 3COCH 3Class 3Acetonitrile CH 3CNClass 2AnisoleMethoxybenzene Class 3BenzeneBenzol Class 11-Butanol n -Butyl alcohol Butan-1-ol CH 3[CH 2]3OH Class 32-Butanol sec -Butyl alcohol Butan-2-olCH 3CH 2CH(OH)CH 3Class 3Butyl acetate Acetic acid butyl ester CH 3COO[CH 2]3CH 3Class 3tert -Butylmethyl ether 2-Methoxy-2-methylpropane (CH 3)3COCH 3Class 3Carbon tetrachloride TetrachloromethaneCCl 4Class 1ChlorobenzeneClass 2Chloroform Trichloromethane CHCl 3Class 2CumeneIsopropylbenzene(1-Methylethyl)benzeneClass 3CyclohexaneHexamethylene Class 21,2-Dichloroethanesym -Dichloroethane Ethylene dichloride Ethylene chloride CH 2ClCH 2ClClass 11,1-Dichloroethene 1,1-Dichloroethylene Vinylidene chloride H 2C=CCl 2Class 11,2-Dichloroethene 1,2-Dichloroethylene Acetylene dichloride ClHC=CHCl Class 2Dichloromethane Methylene chlorideCH 2Cl 2Class 21,2-DimethoxyethaneEthyleneglycol dimethyl ether MonoglymeDimethyl cellosolve H 3COCH 2CH 2OCH 3Class 2N,N -Dimethylacetamide DMA CH 3CON(CH 3)2Class 2N,N -Dimethylformamide DMFHCON(CH 3)2Class 2Dimethyl sulphoxideMethylsulphinylmethane Methyl sulphoxide DMSO (CH 3)2SOClass 31,4-Dioxane p -Dioxane[1,4]DioxaneClass 2Ethanol Ethyl alcohol CH 3CH 2OH Class 32-Ethoxyethanol CellosolveCH 3CH 2OCH 2CH 2OH Class 2Ethyl acetateAcetic acid ethyl esterCH 3COOCH 2CH 3Class 3Ethyleneglycol 1,2-Dihydroxyethane 1,2-Ethanediol HOCH 2CH 2OH Class 2Ethyl etherDiethyl ether Ethoxyethane 1,1′-Oxybisethane CH 3CH 2OCH 2CH 3Class 3Ethyl formate Formic acid ethyl ester HCOOCH 2CH 3Class 3Formamide MethanamideHCONH 2Class 2Formic acid HCOOHClass 3Heptane n -Heptane CH 3[CH 2]5CH 3Class 3Hexane n -HexaneCH 3[CH 2]4CH 3Class 2Isobutyl acetate Acetic acid isobutyl ester CH 3COOCH 2CH(CH 3)2Class 3Isopropyl acetate Acetic acid isopropyl ester CH 3COOCH(CH 3)2Class 3Methanol Methyl alcohol CH 3OH Class 22-Methoxyethanol Methyl cellosolve CH 3OCH 2CH 2OH Class 2Methyl acetate Acetic acid methyl ester CH 3COOCH 3Class 33-Methyl-1-butanolIsoamyl alcohol Isopentyl alcohol 3-Methylbutan-1-ol (CH 3)2CHCH 2CH 2OHClass 3Methylbutylketone 2-Hexanone Hexan-2-one CH 3[CH 2]3COCH 3Class 2MethylcyclohexaneCyclohexylmethaneClass 2Methylethylketone2-Butanone MEKButan-2-one CH 3CH 2COCH 3Class 3Methylisobutylketone4-Methylpentan-2-one 4-Methyl-2-pentanone MIBKCH 3COCH 2CH(CH 3)2Class 32-Methyl-1-propanol Isobutyl alcohol 2-Methylpropan-1-ol (CH 3)2CHCH 2OHClass 3N -Methylpyrrolidone1-Methylpyrrolidin-2-one1-Methyl-2-pyrrolidinoneClass 2Nitromethane CH 3NO 2Class 2Pentane n -Pentane CH 3[CH 2]3CH 3Class 31-PentanolAmyl alcohol Pentan-1-ol Pentyl alcohol CH 3[CH 2]3CH 2OHClass 31-Propanol Propan-1-ol Propyl alcohol CH 3CH 2CH 2OH Class 32-Propanol Propan-2-olIsopropyl alcohol (CH 3)2CHOH Class 3Propyl acetate Acetic acid propyl esterCH 3COOCH 2CH 2CH 3Class 3PyridineClass 2Sulfonane Tetrahydrothiophene1,1-dioxide Class 2TetrahydrofuranTetramethylene oxideOxacyclopentaneClass 2Tetralin1,2,3,4-Tetrahydronaphthalene Class 2TolueneMethylbenzene Class 21,1,1-Trichloroethane Methylchloroform CH 3CCl 3Class 11,1,2-Trichloroethene Trichloroethene HClC=CCl 2Class 2Xylene*Dimethybenzene XylolClass 2*usually 60per cent m -xylene,14per cent p -xylene,9per cent o -xylene with 17per cent ethyl benzene.APPENDIX 2.ADDITIONAL BACKGROUNDA2.1.ENVIRONMENTAL REGULATION OF ORGANIC VOLATILE SOLVENTSSeveral of the residual solvents frequently used in the production of pharmaceuticals are listed as toxic chemicals in Environmental Health Criteria (EHC)monographs and the Integrated Risk Information System (IRIS).The objectives of such groups as the International Programme on Chemical Safety (IPCS),the United States Environmental Protection Agency (USEPA)and the United States Food and Drug Administration (USFDA)include the determination of acceptable exposure levels.The goal is protection of human health and maintenance of environmental integrity against the possible deleterious effects of chemicals resulting from long-term environmental exposure.The methods involved in the estimation of maximum safe exposure limits are usually based on long-term studies.When long-term study data are unavailable,shorter term study data can be used with modification of the approach such as use of larger safety factors.The approach described therein relates primarily to long-term or life-time exposure of the general population in the ambient environment,i.e.ambient air,food,drinking water and other media.A2.2.RESIDUAL SOLVENTS IN PHARMACEUTICALS Exposure limits in this guideline are established by referring to methodologies and toxicity data described in EHC and IRIS monographs.However,some specific assumptions about residual solvents to be used in the synthesis and formulation of pharmaceutical products should be taken into account in establishing exposure limits.They are:1)Patients (not the general population)use pharmaceuticalsto treat their diseases or for prophylaxis to prevent infection or disease.2)The assumption of life-time patient exposure is not necessary for most pharmaceutical products but may be appropriate as a working hypothesis to reduce risk to human health.3)Residual solvents are unavoidable components inpharmaceutical production and will often be a part ofmedicinal products.4)Residual solvents should not exceed recommended levels except in exceptional circumstances.5)Data from toxicological studies that are used to determine acceptable levels for residual solvents should have been generated using appropriate protocols such as those described for example,by OECD and the FDA Red Book.APPENDIX 3.METHODS FOR ESTABLISHING EXPOSURE LIMITSThe Gaylor-Kodell method of risk assessment (Gaylor,D.W.and Kodell,R.L.Linear Interpolation algorithm for low dose assessment of toxic substance.J.Environ.Pathology,4,305,1980)is appropriate for Class 1carcinogenic solvents.Only in cases where reliable carcinogenicity data are available should extrapolation by the use of mathematical models be applied to setting exposure limits.Exposure limits for Class 1solvents could be determined with the use of a large safety factor (i.e.,10000to 100000)with respect to the no-observed-effect level (NOEL).Detection and quantification of these solvents should be by state-of-the-art analytical techniques.Acceptable exposure levels in this guideline for Class 2solvents were established by calculation of PDE values according to the procedures for setting exposure limits in pharmaceuticals (Pharmacopeial Forum ,Nov-Dec 1989),and the method adopted by IPCS for Assessing Human Health Risk of Chemicals (Environmental Health Criteria 170,WHO,1994).These methods are similar to those used by the USEPA (IRIS)and the USFDA (Red Book )and others.The method is outlined here to give a better understanding of the origin of the PDE values.It is not necessary to perform these calculations in order to use the PDE valuestabulated in Section 4of this document.PDE is derived from the no-observed-effect level (NOEL),orthe lowest-observed effect level (LOEL),in the most relevant animal study as follows:The PDE is derived preferably from a NOEL.If no NOEL is obtained,the LOEL may be used.Modifying factors proposed here,for relating the data to humans,are the same kind of “uncertainty factors”used in Environmental HealthCriteria (Environmental Health Criteria 170,World Health Organisation,Geneva,1994),and “modifying factors”or。

统计学常用英语词汇

统计学常用英语词汇

精心整理统计学常用英语词汇Absolutedeviation,绝对离差Absolutenumber,绝对数Absoluteresiduals,绝对残差Accelerationarray,加速度立体阵AdditiveNoise,加性噪声Additivity,可加性Adjustedrate,调整率Adjustedvalue,校正值Admissibleerror,容许误差Aggregation,聚集性Alphafactoring,α因子法Alternativehypothesis,备择假设Amonggroups,组间Amounts,总量Analysisofcorrelation,相关分析Arcing,Arcsinetransformation,反正弦变换Area区域图Areaunderthecurve,曲线面积AREG,评估从一个时间点到下一个时间点回归相关时的误差ARIMA,季节和非季节性单变量模型的极大似然估计Arithmeticgridpaper,算术格纸Arithmeticgridpaper,算术格纸Arithmeticmean,算术平均数Arrheniusrelation,艾恩尼斯关系Assessingfit,拟合的评估Associativelaws,结合律Asymmetricdistribution,非对称分布Barchart,条形图Bargraph,条形图Baseperiod,基期Bayes'theorem,Bayes定理Bell-shapedcurve,钟形曲线Bernoullidistribution,伯努力分布Best-trimestimator,最好切尾估计量Bias,偏性Binarylogisticregression,二元逻辑斯蒂回归Binomialdistribution,二项分布Bisquare,双平方Case-controlstudy,病例对照研究Categorical variable,分类变量Catenary,悬链线Cauchydistribution,柯西分布Cause-and-effectrelationship,因果关系Cell,单元Censoring,终检Centerofsymmetry,对称中心Centeringandscaling,中心化和定标Central tendency,集中趋势Centralvalue,中心值CHAID-χ2AutomaticInteractionDetector,卡方自动交互检测Classinterval,组距Classmid-value,组中值Classupperlimit,组上限Classifiedvariable,分类变量Clusteranalysis,聚类分析Clustersampling,整群抽样Code,代码Codeddata,编码数据Coding,编码Coefficientofcontingency,列联系数Coefficientofdetermination,决定系数Coefficientofmultiplecorrelation,多重相关系数Combinativetable,组合表Commonfactor,共性因子Commonregressioncoefficient,公共回归系数Commonvalue,共同值Commonvariance,公共方差Commonvariation,公共变异Communalityvariance,共性方差Comparability,可比性Comparisonofbathes,批比较Comparisonvalue,比较值Compartmentmodel,分部模型Compassion,伸缩Conditionallylinear,依条件线性Confidenceinterval,置信区间Confidencelimit,置信限Confidencelowerlimit,置信下限Confidenceupperlimit,置信上限ConfirmatoryFactorAnalysis,验证性因子分析Confirmatoryresearch,证实性实验研究Confoundingfactor,混杂因素Conjoint,联合分析Consistency,相合性Consistencycheck,一致性检验Consistentasymptoticallynormalestimate,相合渐近正态估计Control,对照Controlledexperiments,对照实验Conventionaldepth,常规深度Convolution,卷积Correctedfactor,校正因子Correctedmean,校正均值Correctioncoefficient,校正系数Correctness,正确性? Correlationcoefficient,相关系数Correlationindex,相关指数Correspondence,对应Counting,计数Cross-sectionsurvey,横断面调查Crosstabs,交叉表Cross-tabulationtable,复合表Cuberoot,立方根Cumulativedistributionfunction,分布函数Cumulativeprobability,累计概率Curvature,曲率/弯曲Curvature,曲率Curvefit,曲线拟和Curvefitting,曲线拟合Curvilinearregression,曲线回归Curvilinearrelation,曲线关系Datareduction,数据缩减Dataset,数据集Datasources,数据来源Datatransformation,数据变换Datavalidity,数据有效性Data-in,数据输入Data-out,数据输出Deadtime,停滞期Degreeoffreedom,自由度Degreeofprecision,精密度Degreeofreliability,可靠性程度Degression,递减Depth,Deviation,离差Deviationfromaverage,离均差Diagnosticplot,诊断图Dichotomousvariable,二分变量Differentialequation,微分方程Directstandardization,直接标准化法Discretevariable,离散型变量DISCRIMINANT,判断Discriminantanalysis,判别分析Discriminantcoefficient,判别系数Discriminantfunction,判别值Dispersion,散布/分散度Doublelogarithmic,双对数Downwardrank,降秩Dual-spaceplot,对偶空间图DUD,无导数方法Duncan'snewmultiplerangemethod,新复极差法/Duncan新法Effect,实验效应Eigenvalue,特征值Eigenvector,特征向量Ellipse,椭圆Empiricaldistribution,经验分布Empiricalprobability,经验概率单位Error,Euclideandistance,欧式距离Event,事件Event,事件Exceptionaldatapoint,异常数据点Expectationplane,期望平面Expectationsurface,期望曲面Expectedvalues,期望值Experiment,实验Experimentalsampling,试验抽样Experimentalunit,试验单位Explanatoryvariable,说明变量Exploratorydataanalysis,探索性数据分析Ftest,F检验Factor,因素/因子Factoranalysis,因子分析FactorAnalysis,因子分析Factorscore,因子得分Factorial,阶乘Factorialdesign,析因试验设计Falsenegative,假阴性Falsenegativeerror,假阴性错误Familyofdistributions,分布族Familyofestimators,估计量族Fanning,扇面FiniteFixedbase,定基Fluctuation,随机起伏Forecast,预测Fourfoldtable,四格表Fourth,四分点Fractionblow,左侧比率Fractionalerror,相对误差Frequency,频率Frequencypolygon,频数多边图Frontierpoint,界限点Functionrelationship,泛函关系Graeco-Latinsquare,希腊拉丁方Grandmean,总均值Grosserrors,重大错误Gross-errorsensitivity,大错敏感度Groupaverages,分组平均Groupeddata,分组资料Guessedmean,假定平均数Half-life,半衰期HampelM-estimators,汉佩尔M估计量Happenstance,偶然事件Harmonicmean,调和均数Hazardfunction,风险均数Hinge,Histogram,直方图Historicalcohortstudy,历史性队列研究Holes,空洞HOMALS,多重响应分析Homogeneityofvariance,方差齐性Homogeneitytest,齐性检验HuberM-estimators,休伯M估计量Hyperbola,双曲线Hypothesistesting,假设检验Hypotheticaluniverse,假设总体Impossibleevent,不可能事件Index,InfiniteInitialcondition,初始条件Initialestimate,初始估计值Initiallevel,最初水平Interaction,交互作用Interactionterms,交互作用项Intercept,截距Interpolation,内插法Interquartilerange,四分位距Intervalestimation,区间估计Intervalsofequalprobability,等概率区间Intrinsiccurvature,固有曲率Invariance,不变性Kaplan-Meier,评估事件的时间长度Kaplan-Merierchart,Kaplan-Merier图Kendall'srankcorrelation,Kendall等级相关Kinetic,动力学Kolmogorov-Smirnovetest,柯尔莫哥洛夫-斯米尔诺夫检验KruskalandWallistest,Kruskal及Wallis检验/多样本的秩和检验/H检验Kurtosis,峰度Lackoffit,失拟Ladderofpowers,幂阶梯Lag,滞后Largesample,大样本Legend,图例L-estimator,L估计量L-estimatoroflocation,位置L估计量L-estimatorofscale,尺度L估计量Level,水平Lifeexpectance,预期期望寿命Lifetable,寿命表Lifetablemethod,生命表法Light-taileddistribution,轻尾分布Likelihoodfunction,似然函数Likelihoodratio,似然比linegraph,线图Logranktest,时序检验Logarithmiccurve,对数曲线Logarithmicnormaldistribution,对数正态分布Logarithmicscale,对数尺度Logarithmictransformation,对数变换Logiccheck,逻辑检查Logisticdistribution,逻辑斯特分布Logittransformation,Logit转换LOGLINEAR,多维列联表通用模型Lognormaldistribution,对数正态分布Lostfunction,损失函数Lowcorrelation,低度相关Matchingofdistribution,分布的匹配Matchingoftransformation,变换的匹配Mathematicalexpectation,数学期望Mathematicalmodel,数学模型MaximumL-estimator,极大极小L估计量Maximumlikelihoodmethod,最大似然法Mean,均数Meansquaresbetweengroups,组间均方Meansquareswithingroup,组内均方Means(Comparemeans),均值-均值比较Median,中位数Medianeffectivedose,半数效量Modelspecification,模型的确定ModelingStatistics,模型统计Modelsforoutliers,离群值模型Modifyingthemodel,模型的修正Modulusofcontinuity,连续性模Morbidity,发病率Mostfavorableconfiguration,最有利构形MultidimensionalScaling(ASCAL),多维尺度/多维标度MultinomialLogisticRegression,多项逻辑斯蒂回归Multiplecomparison,多重比较Multiplecorrelation,复相关Multiplecovariance,多元协方差Naturaldead,自然死亡Naturalzero,自然零Negativecorrelation,负相关Negativelinearcorrelation,负线性相关Negativelyskewed,负偏Newman-Keulsmethod,q检验NKmethod,q检验Nostatisticalsignificance,无统计意义Nominalvariable,名义变量Nonconstancyofvariability,变异的非定常性Nonlinearregression,非线性相关Nonparametricstatistics,非参数统计Observationunit,观察单位Observedvalue,观察值Onesidedtest,单侧检验One-wayanalysisofvariance,单因素方差分析OnewayANOVA,单因素方差分析Opensequentialtrial,开放型序贯设计Optrim,优切尾Optrimefficiency,优切尾效率Orderstatistics,顺序统计量Ordered categories,有序分类Ordinallogisticregression,序数逻辑斯蒂回归Ordinalvariable,有序变量Pairwiseslopes,成对斜率Parabola,抛物线Paralleltests,平行试验Parameter,参数Parametricstatistics,参数统计Parametrictest,参数检验Partialcorrelation,偏相关Partialregression,偏回归Partialsorting,偏排序Partialsresiduals,偏残差Pattern,模式Pearsoncurves,皮尔逊曲线Pivot,Planar,平坦Planarassumption,平面的假设PLANCARDS,生成试验的计划卡Pointestimation,点估计Poissondistribution,泊松分布Polishing,平滑Polledstandarddeviation,合并标准差Polledvariance,合并方差Polygon,多边图Polynomial,多项式Polynomialcurve,多项式曲线Population,总体Probabilisticmodel,概率模型probability,概率Probabilitydensity,概率密度Productmoment,乘积矩/协方差Profiletrace,截面迹图Proportion,比/构成比Proportionallocationinstratifiedrandomsampling,按比例分层随机抽样Proportionate,成比例Proportionatesub-classnumbers,成比例次级组含量Prospectivestudy,前瞻性调查Proximities,亲近性PseudoFtest,近似F检验QuickCluster,快速聚类Radixsort,基数排序Randomallocation,随机化分组Randomblocksdesign,随机区组设计Randomevent,随机事件Randomization,随机化Range,极差/全距Rankcorrelation,等级相关Ranksumtest,秩和检验Ranktest,秩检验Rankeddata,等级资料Rate,Ratio,Re-expression,重新表达Referenceset,标准组Regionofacceptance,接受域Regressioncoefficient,回归系数Regressionsumofsquare,回归平方和Rejectionpoint,拒绝点Relativedispersion,相对离散度Relativenumber,相对数Reliability,可靠性Reparametrization,重新设置参数Replication,重复ReportSummaries,报告摘要Row,行Roweffects,行效应Rowfactor,行因素RXCtable,RXC表Sample,样本Sample?regressioncoefficient,样本回归系数Sample size,样本量Samplestandarddeviation,样本标准差Samplingerror,抽样误差SAS(Statisticalanalysissystem),SAS统计软件包Scale,尺度/量表Scatterdiagram,散点图Sequentialdataset,顺序数据集Sequentialdesign,贯序设计Sequentialmethod,贯序法Sequentialtest,贯序检验法Serialtests,系列试验Short-cutmethod,简捷法Sigmoidcurve,S形曲线Signfunction,正负号函数Signtest,符号检验Signedrank,符号秩Significancetest,显着性检验Significantfigure,有效数字Slope,斜率Smirnovtest,斯米尔诺夫检验Sourceofvariation,变异来源Spearmanrankcorrelation,斯皮尔曼等级相关Specificfactor,特殊因子Specificfactorvariance,特殊因子方差Spectra,频谱Sphericaldistribution,球型正态分布Spread,展布SPSS(Statisticalpackageforthesocialscience),SPSS统计软件包Spuriouscorrelation,假性相关Squareroottransformation,平方根变换Statisticalgraph,统计图Statisticalinference,统计推断Statisticaltable,统计表Steepestdescent,最速下降法Stemandleafdisplay,茎叶图Stepfactor,步长因子Stepwiseregression,逐步回归Storage,存Strata,层(复数)Stratifiedsampling,分层抽样Stratifiedsampling,分层抽样Strength,强度Sureevent,必然事件Survey,调查Survival,生存分析Survivalrate,生存率Suspendedrootgram,悬吊根图Symmetry,对称Systematicerror,系统误差Systematicsampling,系统抽样Tags,标签Tailarea,尾部面积Taillength,尾长Torsion,扰率Totalsumofsquare,总平方和Totalvariation,总变异Transformation,转换Treatment,处理Trend,趋势Trendofpercentage,百分比趋势Trial,试验Trialanderrormethod,试错法Tuningconstant,细调常数Twosidedtest,双向检验Two-stageleastsquares,二阶最小平方Uniformcoordinate,均匀坐标Uniformdistribution,均匀分布Uniformlyminimumvarianceunbiasedestimate,方差一致最小无偏估计Unit,单元Unordered categories,无序分类Upperlimit,上限Upwardrank,升秩Vagueconcept,模糊概念Validity,有效性VARCOMP(Variancecomponentestimation),方差元素估计Variability,变异性Weightedmean,加权平均数Weightedmeansquare,加权平均方差Weightedsumofsquare,加权平方和Weightingcoefficient,权重系数Weightingmethod,加权法W-estimation,W估计量W-estimationoflocation,位置W估计量Width,宽度Wilcoxonpairedtest,威斯康星配对法/配对符号秩和检验Wildpoint,野点/狂点Wildvalue,野值/狂值Winsorizedmean,缩尾均值。

残差法英文缩写

残差法英文缩写

残差法英文缩写English:"Residuals-based methods, also known as residual analysis or residual error methods, are a key tool in statistics and data analysis. In these methods, the residuals, which are the differences between observed values and the values predicted by a model, are analyzed to assess the goodness of fit of the model to the data. The residuals can provide valuable insights into the adequacy of the model and help identify any patterns or trends that the model may have missed. By examining the distribution of residuals, researchers can determine if the assumptions of the model are met and if any adjustments or improvements are needed. Residuals-based methods are widely used in various fields, including regression analysis, time series analysis, and ANOVA, among others."中文翻译:"残差法,也称为残差分析或残差误差法,是统计学和数据分析中的重要工具。

统计学专业英语词汇

统计学专业英语词汇
log-linear model 对数线性模型
log-log 对数
log-normal distribution 对数正态分布
longitudinal 经度的,纵的
loss function 损失函数
M
Mahalanobis\' generalized distance Mahalanobis广义距离
drop out 脱落例
Durbin-Watson statistic(ratio) Durbin-Watson统计量(比)
E
efficient, efficiency 有效的、有效性
* Engel\'s coefficient 恩格尔系数
entropy 熵
epidemiology 流行病学
* error 误差
item 项
J
Jacknife 刀切法
K
Kaplan-Meier estimate Kaplan-Meier估计
* Kendall\'s rank correlation coefficients 肯德尔等级相关系数
Kullback-Leibler information number 库尔贝克-莱布勒信息函数
model, -ing 模型(建模)
moment 矩
moving average 移动平均
multicolinear, -ity 多重共线(性)
multidimensional scaling(MDS) 多维换算
multiple answer 重复回答
multiple choice 多重选择
multiple comparison 多重比较
* histogram 直方图

实时定量PCR法检测生物技术药物中宿主基因组DNA残留

实时定量PCR法检测生物技术药物中宿主基因组DNA残留

实时定量PCR法检测生物技术药物中宿主基因组DNA残留曹晨华;刘晓志;段月娇;刘素霞;赵伟;常亮;纪丽曼;高健【摘要】利用基于SYBR Green Ⅰ荧光染料的实时定量PCR方法检测酵母表达生物技术药物产品中宿主DNA残留量.该方法检测灵敏度可达到1.0 fg/μL,DNA浓度在1.0 fg/μL~1.0 ng/μL范围内线性良好,其标准曲线的相关系数为0.99以上.应用该方法对3批不同实验样本进行测定,宿主DNA残留量分别为8.635× 105 fg/μL、6.265×102 fg/μL和1.436 fg/μL.实验表明该方法操作简便、灵敏度高,可用于生物技术药物产品中酵母DNA残留的定量测定.【期刊名称】《生物技术进展》【年(卷),期】2014(004)002【总页数】4页(P142-145)【关键词】实时定量PCR;宿主基因组DNA残留;生物技术药物;质量控制【作者】曹晨华;刘晓志;段月娇;刘素霞;赵伟;常亮;纪丽曼;高健【作者单位】华北制药集团新药研究开发有限责任公司;抗体药物研制国家重点实验室,石家庄050015;华北制药集团新药研究开发有限责任公司;抗体药物研制国家重点实验室,石家庄050015;华北制药集团新药研究开发有限责任公司;抗体药物研制国家重点实验室,石家庄050015;华北制药集团新药研究开发有限责任公司;抗体药物研制国家重点实验室,石家庄050015;华北制药集团新药研究开发有限责任公司;抗体药物研制国家重点实验室,石家庄050015;华北制药集团新药研究开发有限责任公司;抗体药物研制国家重点实验室,石家庄050015;华北制药集团新药研究开发有限责任公司;抗体药物研制国家重点实验室,石家庄050015;华北制药集团新药研究开发有限责任公司;抗体药物研制国家重点实验室,石家庄050015【正文语种】中文随着医药市场中越来越多基因重组药物的出现,宿主DNA残留的问题也越来越引起人们的关注。

顶空气相色谱法测定紫草素中的乙醇残留

顶空气相色谱法测定紫草素中的乙醇残留

溶剂

DMF
DMSO 0.1mol·L-1的氯化钠溶液 0.1mol·L-1的氢氧化钠溶液
溶解情况 不溶
微溶
微溶
不溶
溶解
2021,30(3)
沈丽宫 等:顶空气相色谱法测定紫草素中的乙醇残留
9
为 0.1%、0.2%、0.4%、0.8%、1.0%、1.4%、1.8%、2.0% 的氢氧化钠溶液,照 1.3 项下的仪器条件及 1.4 项下 的样品溶液配制方法,进行三次平行试验,记录乙
2021,30(3)
福建分析测试 Fujian Analysis & Testing
7
顶空气相色谱法测定紫草素中的乙醇残留
沈丽宫,何文胜,刘文君,王代芳,宋飞飞,陈艳玉
(福建生物工程职业技术学院 分析检测中心,福建 福州 350007)
摘 要:建立一种用于测定紫草素中的乙醇含量的顶空气相色谱法,采用异丙醇为内标,内标曲线法进行测定。对 溶剂、色谱柱温度、样品的平衡温度、样品的平衡时间等因素进行考察,筛选出最合适的条件。对分析方法的专属 性、线性、重复性、回收率、溶液稳定性、检测限、定量限进行验证。结果表明,本法专属性良好,在 0.1mg·mL-1~2mg·mL-1 范围内线性关系良好(r=0.9998),重复性 RSD=1.7%,回收率 97.7%~102.7%,RSD=2.3%,溶液稳定性 RSD=1.3%,检 测限和定量限分别为 1.673μg·mL-1和 5.576μg·mL-1。该方法简便灵敏,可用于紫草素中的乙醇残留量定量测定。 关键词:紫草素;乙醇;顶空气相色谱 中图分类号:O657.71 文献标识码:A 文章编号:1009-8143(2021)03-0007-07 Doi:10.3969/j.issn.1009-8143.2021.03.02

气相色谱/质谱测定皮革及其制品中乙二醇醚类有机溶剂的残留量

气相色谱/质谱测定皮革及其制品中乙二醇醚类有机溶剂的残留量王成云;张伟亚;李丽霞;沈雅蕾;林君峰;谢堂堂;褚乃清【摘要】建立了同时测定皮革及其制品中12种乙二醇醚类有机溶剂残留量的气相色谱/质谱-选择离子监测方法。

以乙酸乙酯为萃取溶剂,在45℃下超声萃取皮革及其制品中的乙二醇醚类有机溶剂,萃取液经固相萃取柱净化后进行气相色谱/质谱-选择离子监测法测定,外标法定量。

在信噪比( S / N)=3的条件下,乙二醇单乙醚( EGEE)的检出限为0.10 mg / kg,其余11种乙二醇醚类有机溶剂的检出限均小于0.05 mg / kg。

在3个加标水平下,该方法的平均加标回收率为81.2%~95.5%,相对标准偏差(RSD)为1.4%~6.6%(n =9)。

该方法简便快捷,灵敏度高,检出限远远低于欧盟法规《化学品的注册、评估、授权和限制》( REACH)的限量要求,适用于皮革及其制品中乙二醇醚类有机溶剂残留量的测定,为制定相关检测标准提供了参考。

%An effective method was established for the simultaneous determination of residual glycol ethers in leather and leather products by gas chromatography / mass spectrometry. Glycol ethers in leather and leather products were ultrasonically extracted at45 ℃ ,using ethyl acetate as the extraction solvent. The extracts were purified by solid phase extraction(SPE)columns, and then analyzed by gas chromatography / mass spectrometry in selected ion monitoring mode. The content of each analyte was calibrated by external standard method. The limit of detection of ethylene glycol ethyl ether( EGEE)was 0. 10 mg /kg under the condition of signal to noise (S / N)of 3 and the limits of the other 11 glycol ethers were all less than 0. 05 mg / kg. The spikedrecoveries varied from 81. 2% to 95. 5% at three different spiked levels with the relative standard deviations(RSDs)ranged from 1. 4% to 6. 6% . The proposed method is simple,rapid and accurate,with the limits of detection much less than the requirements of the Regulation Concerning Registration,Evaluation,Authorization and Restriction ofChemicals( REACH)of European Union. It is applicable to the determination of residual glycol ethers in leather and leather products,and provides a reference for the relevant testing standards.【期刊名称】《色谱》【年(卷),期】2014(000)008【总页数】7页(P890-896)【关键词】超声萃取;气相色谱 / 质谱;选择离子监测;乙二醇醚类化合物;皮革【作者】王成云;张伟亚;李丽霞;沈雅蕾;林君峰;谢堂堂;褚乃清【作者单位】深圳出入境检验检疫局工业品检测技术中心,广东深圳 518067;深圳出入境检验检疫局工业品检测技术中心,广东深圳 518067;深圳出入境检验检疫局工业品检测技术中心,广东深圳 518067;深圳出入境检验检疫局工业品检测技术中心,广东深圳 518067;深圳出入境检验检疫局工业品检测技术中心,广东深圳 518067;深圳出入境检验检疫局工业品检测技术中心,广东深圳 518067;深圳出入境检验检疫局工业品检测技术中心,广东深圳 518067【正文语种】中文【中图分类】O658乙二醇醚类有机溶剂是环氧乙烷的重要衍生物,其分子内同时含有醚键和羟基,具有十分优异的性能,因此获得了广泛的应用。

组织工程医疗产品中残留牛血清白蛋白的检验常见问题


NationaI Institute for the Control of Pharmaceutica l and Biological Products,
Beijing 100050,
C hina
Fa n g Yu★ . Master,
Senior
engineer,
National lnsf itute for
0 引言
随着组织工程技 术逐渐成熟 ,其在组织损 伤修 复 方 面 巨大的应用 潜 力使 得越 来越 多 的 研究人 员不再仅仅 满足 于理论及 实验研究,而 是将 目光投 向 了科研成果 的产业化 ,因此 陆续 有一些组 织工程 医疗产品应运 而生。胎牛血清 既是 大多数组 织工程 医疗产 品生产 中种 子 细 胞培养和扩增 时培 养液 的重要 组分 ,也是许 多 组织工程 医疗产品保存液 中的必要组 分。随组 织工程 医疗产 品进入人 体 的残 留 的牛血 清成 分作 为异种 来源的蛋 白,可能引发机体的免疫 反应 [14]。因此,组 织_T-程 医疗产品 中的牛血 清 残 留量必须得到严格的控制 。牛血清 白蛋 白是 牛血 清 中的主要成分 (为35~50 g/L),检测残 留牛血 清 白蛋 白的含 量在 一定程 度上 可 以反 映组 织工程 医疗产品 中牛血 清的残留量,因此 成为这 类产 品质 量控制 以及 安全性 评估 的 重 要指标 以及产 品标准 中的重要 组成部 分。
摘 要 :胎牛血清既 是大多数组织工程 医疗产 品生产 中种子细胞培养和扩 增时培养液 的重要组分 ,也是许 多组织工程医疗 产 品保 存液中 的必要组 分之一 。为降低 残留牛血清 成分可能 引发的免疫反应 ,牛血清 白蛋 白残留量的检测 已成为这类产 品的质 量控制 以及风 险评估 的重要 指标 。文章简要 介绍 了牛血清 白蛋 白残 留量 的检测方法 。根据 以往对这类 产 品注册检 验 中积 累的经验 以及 发现的 问题 ,为保证组织工程 医疗产 品中牛血清 白蛋白的有效清除 以及 检测 结果的准确 性及可重 复 性 提 出 了 相 应 的 建 议 。 关键词 :组织工程医疗产 品;残留牛血清 白蛋 白;注册标准 ;Hook效应;干扰物质

统计专业英语词汇

Absolute deviation,绝对离差Absolute number,绝对数Absolute residuals,绝对残差Accelerationarray,加速度立体阵Accelerationinanarbitrarydirection,任意方向上的加速度Accelerationnormal,法向加速度Accelerationspacedimension,加速度空间的维数Accelerationtangential,切向加速度Accelerationvector,加速度向量Acceptablehypothesis,可接受假设Accumulation,累积Accuracy,准确度Actualfrequency,实际频数Adaptiveestimator,自适应估计量Addition,相加Additiontheorem,加法定理Additivity,可加性Adjustedrate,调整率Adjustedvalue,校正值Admissibleerror,容许误差Aggregation,聚集性Alternativehypothesis,备择假设Amonggroups,组间Amounts,总量Analysisofcorrelation,相关分析Analysisofcovariance,协方差分析Analysisofregression,回归分析Analysisoftimeseries,时间序列分析Analysisofvariance,方差分析Angulartransformation,角转换ANOVA(analysisofvariance),方差分析ANOVAModels,方差分析模型Arcing,弧/弧旋Arcsinetransformation,反正弦变换Areaunderthecurve,曲线面积AREG,评估从一个时间点到下一个时间点回归相关时的误差ARIMA,季节和非季节性单变量模型的极大似然估计Arithmeticgridpaper,算术格纸Arithmeticmean,算术平均数Arrheniusrelation,艾恩尼斯关系Assessingfit,拟合的评估Associativelaws,结合律Asymmetricdistribution,非对称分布Asymptoticbias,渐近偏倚Asymptoticefficiency,渐近效率Asymptoticvariance,渐近方差Attributablerisk,归因危险度Attributedata,属性资料Attribution,属性Autocorrelation,自相关Autocorrelationofresiduals,残差的自相关Average,平均数Averageconfidenceintervallength,平均置信区间长度Averagegrowthrate,平均增长率Barchart,条形图Bargraph,条形图Baseperiod,基期Bayes'theorem,Bayes定理Bell-shapedcurve,钟形曲线Bernoullidistribution,伯努力分布Best-trimestimator,最好切尾估计量Bias,偏性Binarylogisticregression,二元逻辑斯蒂回归Binomialdistribution,二项分布Bisquare,双平方BivariateCorrelate,二变量相关Bivariatenormaldistribution,双变量正态分布Bivariatenormalpopulation,双变量正态总体Biweightinterval,双权区间BiweightM-estimator,双权M估计量Block,区组/配伍组BMDP(Biomedicalcomputerprograms),BMDP统计软件包Boxplots,箱线图/箱尾图Breakdownbound,崩溃界/崩溃点Canonicalcorrelation,典型相关Caption,纵标目Case-controlstudy,病例对照研究Categoricalvariable,分类变量Catenary,悬链线Cauchydistribution,柯西分布Cause-and-effectrelationship,因果关系Cell,单元Censoring,终检Centerofsymmetry,对称中心Centeringandscaling,中心化和定标Centraltendency,集中趋势Centralvalue,中心值CHAID-χ2AutomaticInteractionDetector,卡方自动交互检测Chance,机遇Chanceerror,随机误差Chancevariable,随机变量Characteristicequation,特征方程Characteristicroot,特征根Characteristicvector,特征向量Chebshevcriterionoffit,拟合的切比雪夫准则Chernofffaces,切尔诺夫脸谱图Chi-squaretest,卡方检验/χ2检验Choleskeydecomposition,乔洛斯基分解Circlechart,圆图Classinterval,组距Classmid-value,组中值Classupperlimit,组上限Classifiedvariable,分类变量Clusteranalysis,聚类分析Clustersampling,整群抽样Code,代码Codeddata,编码数据Coding,编码Coefficientofcontingency,列联系数Coefficientofdetermination,决定系数Coefficientofmultiplecorrelation,多重相关系数Coefficientofpartialcorrelation,偏相关系数Coefficientofproduction-momentcorrelation,积差相关系数Coefficientofrankcorrelation,等级相关系数Coefficientofregression,回归系数Coefficientofskewness,偏度系数Coefficientofvariation,变异系数Cohortstudy,队列研究Column,列Columneffect,列效应Columnfactor,列因素Combinationpool,合并Combinativetable,组合表Commonfactor,共性因子Commonregressioncoefficient,公共回归系数Commonvalue,共同值Commonvariance,公共方差Commonvariation,公共变异Communalityvariance,共性方差Comparability,可比性Comparisonofbathes,批比较Comparisonvalue,比较值Compartmentmodel,分部模型Compassion,伸缩Complementofanevent,补事件Completeassociation,完全正相关Completedissociation,完全不相关Completestatistics,完备统计量Completelyrandomizeddesign,完全随机化设计Compositeevent,联合事件Compositeevents,复合事件Concavity,凹性Conditionalexpectation,条件期望Conditionallikelihood,条件似然Conditionalprobability,条件概率Conditionallylinear,依条件线性Confidenceinterval,置信区间Confidencelimit,置信限Confidencelowerlimit,置信下限Confidenceupperlimit,置信上限ConfirmatoryFactorAnalysis,验证性因子分析Confirmatoryresearch,证实性实验研究Confoundingfactor,混杂因素Conjoint,联合分析Consistency,相合性Consistencycheck,一致性检验Consistentasymptoticallynormalestimate,相合渐近正态估计Consistentestimate,相合估计Constrainednonlinearregression,受约束非线性回归Constraint,约束Contaminateddistribution,污染分布ContaminatedGausssian,污染高斯分布Contaminatednormaldistribution,污染正态分布Contamination,污染Contaminationmodel,污染模型Contingencytable,列联表Contour,边界线Contributionrate,贡献率Control,对照Controlledexperiments,对照实验Conventionaldepth,常规深度Convolution,卷积Correctedfactor,校正因子Correctedmean,校正均值Correctioncoefficient,校正系数Correctness,正确性Correlationcoefficient,相关系数Correlationindex,相关指数Correspondence,对应Counting,计数Counts,计数/频数Covariance,协方差Covariant,共变CoxRegression,Cox回归Criteriaforfitting,拟合准则Criteriaofleastsquares,最小二乘准则Criticalratio,临界比Criticalregion,拒绝域Criticalvalue,临界值Cross-overdesign,交叉设计Cross-sectionanalysis,横断面分析Cross-sectionsurvey,横断面调查Crosstabs,交叉表Cross-tabulationtable,复合表Cuberoot,立方根Cumulativedistributionfunction,分布函数Cumulativeprobability,累计概率Curvature,曲率/弯曲Curvature,曲率Curvefit,曲线拟和Curvefitting,曲线拟合Curvilinearregression,曲线回归Curvilinearrelation,曲线关系Cut-and-trymethod,尝试法Cycle,周期Cyclist,周期性Dtest,D检验Dataacquisition,资料收集Databank,数据库Datacapacity,数据容量Datadeficiencies,数据缺乏Datahandling,数据处理Datamanipulation,数据处理Dataprocessing,数据处理Datareduction,数据缩减Dataset,数据集Datasources,数据来源Datatransformation,数据变换Datavalidity,数据有效性Data-in,数据输入Data-out,数据输出Deadtime,停滞期Degreeoffreedom,自由度Degreeofprecision,精密度Degreeofreliability,可靠性程度Degression,递减Densityfunction,密度函数Densityofdatapoints,数据点的密度Dependentvariable,应变量/依变量/因变量Dependentvariable,因变量Depth,深度Derivativematrix,导数矩阵Derivative-freemethods,无导数方法Design,设计Determinacy,确定性Determinant,行列式Determinant,决定因素Deviation,离差Deviationfromaverage,离均差Diagnosticplot,诊断图Dichotomousvariable,二分变量Differentialequation,微分方程Directstandardization,直接标准化法Discretevariable,离散型变量DISCRIMINANT,判断Discriminantanalysis,判别分析Discriminantcoefficient,判别系数Discriminantfunction,判别值Dispersion,散布/分散度Disproportional,不成比例的Disproportionatesub-classnumbers,不成比例次级组含量Distributionfree,分布无关性/免分布Distributionshape,分布形状Distribution-freemethod,任意分布法Distributivelaws,分配律Disturbance,随机扰动项Doseresponsecurve,剂量反应曲线Doubleblindmethod,双盲法Doubleblindtrial,双盲试验Doubleexponentialdistribution,双指数分布Doublelogarithmic,双对数Downwardrank,降秩Dual-spaceplot,对偶空间图DUD,无导数方法Duncan'snewmultiplerangemethod,新复极差法/Duncan新法Effect,实验效应Eigenvalue,特征值Eigenvector,特征向量Ellipse,椭圆Empiricaldistribution,经验分布Empiricalprobability,经验概率单位Enumerationdata,计数资料Equalsun-classnumber,相等次级组含量Equallylikely,等可能Equivariance,同变性Error,误差/错误Errorofestimate,估计误差ErrortypeI,第一类错误ErrortypeII,第二类错误Estimand,被估量Estimatederrormeansquares,估计误差均方Estimatederrorsumofsquares,估计误差平方和Euclideandistance,欧式距离Event,事件Event,事件Exceptionaldatapoint,异常数据点Expectationplane,期望平面Expectationsurface,期望曲面Expectedvalues,期望值Experiment,实验Experimentalsampling,试验抽样Experimentalunit,试验单位Explanatoryvariable,说明变量Exploratorydataanalysis,探索性数据分析ExploreSummarize,探索-摘要Exponentialcurve,指数曲线Exponentialgrowth,指数式增长EXSMOOTH,指数平滑方法Extendedfit,扩充拟合Extraparameter,附加参数Extrapolation,外推法Extremeobservation,末端观测值Extremes,极端值/极值Fdistribution,F分布Ftest,F检验Factor,因素/因子Factoranalysis,因子分析FactorAnalysis,因子分析Factorscore,因子得分Factorial,阶乘Factorialdesign,析因试验设计Falsenegative,假阴性Falsenegativeerror,假阴性错误Familyofdistributions,分布族Familyofestimators,估计量族Fanning,扇面Fatalityrate,病死率Fieldinvestigation,现场调查Fieldsurvey,现场调查Finitepopulation,有限总体Finite-sample,有限样本Firstderivative,一阶导数Firstprincipalcomponent,第一主成分Firstquartile,第一四分位数Fisherinformation,费雪信息量Fittedvalue,拟合值Fittingacurve,曲线拟合Fixedbase,定基Fluctuation,随机起伏Forecast,预测Fourfoldtable,四格表Fourth,四分点Fractionblow,左侧比率Fractionalerror,相对误差Frequency,频率Frequencypolygon,频数多边图Frontierpoint,界限点Functionrelationship,泛函关系Gammadistribution,伽玛分布Gaussincrement,高斯增量Gaussiandistribution,高斯分布/正态分布Gauss-Newtonincrement,高斯-牛顿增量Generalcensus,全面普查GENLOG(Generalizedlinermodels),广义线性模型Geometricmean,几何平均数Gini'smeandifference,基尼均差GLM(Generallinermodels),通用线性模型Goodnessoffit,拟和优度/配合度Gradientofdeterminant,行列式的梯度Graeco-Latinsquare,希腊拉丁方Grandmean,总均值Grosserrors,重大错误Gross-errorsensitivity,大错敏感度Groupaverages,分组平均Groupeddata,分组资料Guessedmean,假定平均数Half-life,半衰期HampelM-estimators,汉佩尔M估计量Happenstance,偶然事件Harmonicmean,调和均数Hazardfunction,风险均数Hazardrate,风险率Heading,标目Heavy-taileddistribution,重尾分布Hessianarray,海森立体阵Heterogeneity,不同质Heterogeneityofvariance,方差不齐Hierarchicalclassification,组内分组Hierarchicalclusteringmethod,系统聚类法High-leveragepoint,高杠杆率点HILOGLINEAR,多维列联表的层次对数线性模型Hinge,折叶点Histogram,直方图Historicalcohortstudy,历史性队列研究Holes,空洞HOMALS,多重响应分析Homogeneityofvariance,方差齐性Homogeneitytest,齐性检验HuberM-estimators,休伯M估计量Hyperbola,双曲线Hypothesistesting,假设检验Hypotheticaluniverse,假设总体Impossibleevent,不可能事件Independence,独立性Independentvariable,自变量Index,指标/指数Indirectstandardization,间接标准化法Individual,个体Inferenceband,推断带Infinitepopulation,无限总体Infinitelygreat,无穷大Infinitelysmall,无穷小Influencecurve,影响曲线Informationcapacity,信息容量Initialcondition,初始条件Initialestimate,初始估计值Initiallevel,最初水平Interaction,交互作用Interactionterms,交互作用项Intercept,截距Interpolation,内插法Interquartilerange,四分位距Intervalestimation,区间估计Intervalsofequalprobability,等概率区间Intrinsiccurvature,固有曲率Invariance,不变性Inversematrix,逆矩阵Inverseprobability,逆概率Inversesinetransformation,反正弦变换Iteration,迭代Jacobiandeterminant,雅可比行列式Jointdistributionfunction,分布函数Jointprobability,联合概率Jointprobabilitydistribution,联合概率分布Kmeansmethod,逐步聚类法Kaplan-Meier,评估事件的时间长度Kaplan-Merierchart,Kaplan-Merier图Kendall'srankcorrelation,Kendall等级相关Kinetic,动力学Kolmogorov-Smirnovetest,柯尔莫哥洛夫-斯米尔诺夫检验KruskalandWallistest,Kruskal及Wallis检验/多样本的秩和检验/H检验Kurtosis,峰度Lackoffit,失拟Ladderofpowers,幂阶梯Lag,滞后Largesample,大样本Largesampletest,大样本检验Latinsquare,拉丁方Latinsquaredesign,拉丁方设计Leakage,泄漏Leastfavorableconfiguration,最不利构形Leastfavorabledistribution,最不利分布Leastsignificantdifference,最小显著差法Leastsquaremethod,最小二乘法Least-absolute-residualsestimates,最小绝对残差估计Least-absolute-residualsfit,最小绝对残差拟合Least-absolute-residualsline,最小绝对残差线Legend,图例L-estimator,L估计量L-estimatoroflocation,位置L估计量L-estimatorofscale,尺度L估计量Level,水平Lifeexpectance,预期期望寿命Lifetable,寿命表Lifetablemethod,生命表法Light-taileddistribution,轻尾分布Likelihoodfunction,似然函数Likelihoodratio,似然比linegraph,线图Linearcorrelation,直线相关Linearequation,线性方程Linearprogramming,线性规划Linearregression,直线回归LinearRegression,线性回归Lineartrend,线性趋势Loading,载荷Locationandscaleequivariance,位置尺度同变性Locationequivariance,位置同变性Locationinvariance,位置不变性Locationscalefamily,位置尺度族Logranktest,时序检验Logarithmiccurve,对数曲线Logarithmicnormaldistribution,对数正态分布Logarithmicscale,对数尺度Logarithmictransformation,对数变换Logiccheck,逻辑检查Logisticdistribution,逻辑斯特分布Logittransformation,Logit转换LOGLINEAR,多维列联表通用模型Lognormaldistribution,对数正态分布Lostfunction,损失函数Lowcorrelation,低度相关Lowerlimit,下限Lowest-attainedvariance,最小可达方差LSD,最小显著差法的简称Lurkingvariable,潜在变量Main effect,主效应Major heading,主辞标目Marginal density function,边缘密度函数Marginal probability,边缘概率Marginal probability distribution,边缘概率分布Matched data,配对资料Matched distribution,匹配过分布Matching of distribution,分布的匹配Matching of transformation,变换的匹配Mathematical expectation,数学期望Mathematical model,数学模型Maximum L-estimator,极大极小L 估计量Maximum likelihood method,最大似然法Mean,均数Mean squares between groups,组间均方Mean squares within group,组内均方Means (Compare means),均值-均值比较Median,中位数Median effective dose,半数效量Median lethal dose,半数致死量Median polish,中位数平滑Median test,中位数检验Minimal sufficient statistic,最小充分统计量Minimum distance estimation,最小距离估计Minimum effective dose,最小有效量Minimum lethal dose,最小致死量Minimum variance estimator,最小方差估计量MINITAB,统计软件包Minor heading,宾词标目Missing data,缺失值Model specification,模型的确定Modeling Statistics ,模型统计Models for outliers,离群值模型Modifying the model,模型的修正Modulus of continuity,连续性模Morbidity,发病率Most favorable configuration,最有利构形Multidimensional Scaling (ASCAL),多维尺度/多维标度Multinomial Logistic Regression ,多项逻辑斯蒂回归Multiple comparison,多重比较Multiple correlation ,复相关Multiple covariance,多元协方差Multiple linear regression,多元线性回归Multiple response ,多重选项Multiple solutions,多解Multiplication theorem,乘法定理Multiresponse,多元响应Multi-stage sampling,多阶段抽样Multivariate T distribution,多元T分布Mutual exclusive,互不相容Mutual independence,互相独立Natural boundary,自然边界Natural dead,自然死亡Natural zero,自然零Negative correlation,负相关Negative linear correlation,负线性相关Negatively skewed,负偏Newman-Keuls method,q检验NK method,q检验No statistical significance,无统计意义Nominal variable,名义变量Nonconstancy of variability,变异的非定常性Nonlinear regression,非线性相关Nonparametric statistics,非参数统计Nonparametric test,非参数检验Nonparametric tests,非参数检验Normal deviate,正态离差Normal distribution,正态分布Normal equation,正规方程组Normal ranges,正常范围Normal value,正常值Nuisance parameter,多余参数/讨厌参数Null hypothesis,无效假设Numerical variable,数值变量Objective function,目标函数Observation unit,观察单位Observed value,观察值One sided test,单侧检验One-way analysis of variance,单因素方差分析Oneway ANOVA ,单因素方差分析Open sequential trial,开放型序贯设计Optrim,优切尾Optrim efficiency,优切尾效率Order statistics,顺序统计量Ordered categories,有序分类Ordinal logistic regression ,序数逻辑斯蒂回归Ordinal variable,有序变量Orthogonal basis,正交基Orthogonal design,正交试验设计Orthogonality conditions,正交条件ORTHOPLAN,正交设计Outlier cutoffs,离群值截断点Outliers,极端值OVERALS ,多组变量的非线性正规相关Overshoot,迭代过度Paired design,配对设计Paired sample,配对样本Pairwise slopes,成对斜率Parabola,抛物线Parallel tests,平行试验Parameter,参数Parametric statistics,参数统计Parametric test,参数检验Partial correlation,偏相关Partial regression,偏回归Partial sorting,偏排序Partials residuals,偏残差Pattern,模式Pearson curves,皮尔逊曲线Peeling,退层Percent bar graph,百分条形图Percentage,百分比Percentile,百分位数Percentile curves,百分位曲线Periodicity,周期性Permutation,排列P-estimator,P估计量Pie graph,饼图Pitman estimator,皮特曼估计量Pivot,枢轴量Planar,平坦Planar assumption,平面的假设PLANCARDS,生成试验的计划卡Point estimation,点估计Poisson distribution,泊松分布Polishing,平滑Polled standard deviation,合并标准差Polled variance,合并方差Polygon,多边图Polynomial,多项式Polynomial curve,多项式曲线Population,总体Population attributable risk,人群归因危险度Positive correlation,正相关Positively skewed,正偏Posterior distribution,后验分布Power of a test,检验效能Precision,精密度Predicted value,预测值Preliminary analysis,预备性分析Principal component analysis,主成分分析Prior distribution,先验分布Prior probability,先验概率Probabilistic model,概率模型probability,概率Probability density,概率密度Product moment,乘积矩/协方差Profile trace,截面迹图Proportion,比/构成比Proportion allocation in stratified random sampling,按比例分层随机抽样Proportionate,成比例Proportionate sub-class numbers,成比例次级组含量Prospective study,前瞻性调查Proximities,亲近性Pseudo F test,近似F检验Pseudo model,近似模型Pseudosigma,伪标准差Purposive sampling,有目的抽样QR decomposition,QR分解Quadratic approximation,二次近似Qualitative classification,属性分类Qualitative method,定性方法Quantile-quantile plot,分位数-分位数图/Q-Q图Quantitative analysis,定量分析Quartile,四分位数Quick Cluster,快速聚类Radix sort,基数排序Random allocation,随机化分组Random blocks design,随机区组设计Random event,随机事件Randomization,随机化Range,极差/全距Rank correlation,等级相关Rank sum test,秩和检验Rank test,秩检验Ranked data,等级资料Rate,比率Ratio,比例Raw data,原始资料Raw residual,原始残差Rayleigh's test,雷氏检验Rayleigh's Z,雷氏Z值Reciprocal,倒数Reciprocal transformation,倒数变换Recording,记录Redescending estimators,回降估计量Reducing dimensions,降维Re-expression,重新表达Reference set,标准组Region of acceptance,接受域Regression coefficient,回归系数Regression sum of square,回归平方和Rejection point,拒绝点Relative dispersion,相对离散度Relative number,相对数Reliability,可靠性Reparametrization,重新设置参数Replication,重复Report Summaries,报告摘要Residual sum of square,剩余平方和Resistance,耐抗性Resistant line,耐抗线Resistant technique,耐抗技术R-estimator of location,位置R估计量R-estimator of scale,尺度R估计量Retrospective study,回顾性调查Ridge trace,岭迹Ridit analysis,Ridit分析Rotation,旋转Rounding,舍入Row,行Row effects,行效应Row factor,行因素RXC table,RXC表Sample,样本Sample regression coefficient,样本回归系数Sample size,样本量Sample standard deviation,样本标准差Sampling error,抽样误差SAS(Statistical analysis system ),SAS统计软件包Scale,尺度/量表Scatter diagram,散点图Schematic plot,示意图/简图Score test,计分检验Screening,筛检SEASON,季节分析Second derivative,二阶导数Second principal component,第二主成分SEM (Structural equation modeling),结构化方程模型Semi-logarithmic graph,半对数图Semi-logarithmic paper,半对数格纸Sensitivity curve,敏感度曲线Sequential analysis,贯序分析Sequential data set,顺序数据集Sequential design,贯序设计Sequential method,贯序法Sequential test,贯序检验法Serial tests,系列试验Short-cut method,简捷法Sigmoid curve,S形曲线Sign function,正负号函数Sign test,符号检验Signed rank,符号秩Significance test,显著性检验Significant figure,有效数字Simple cluster sampling,简单整群抽样Simple correlation,简单相关Simple random sampling,简单随机抽样Simple regression,简单回归simple table,简单表Sine estimator,正弦统计术语英汉对照表/wiki/%E7%BB%9F%E8%AE%A1%E6%9C%AF%E8%AF%AD%E8%8B%B1%E6%B1%89%E5%AF%B9%E7%85%A7%E8%A1%A8A•Absolute deviation, 绝对离差•Absolute number, 绝对数•Absolute residuals, 绝对残差•Acceleration array, 加速度立体阵•Acceleration in an arbitrary direction, 任意方向上的加速度•Acceleration normal, 法向加速度•Acceleration space dimension, 加速度空间的维数•Acceleration tangential, 切向加速度•Acceleration vector, 加速度向量•Acceptable hypothesis, 可接受假设•Accumulation, 累积•Accuracy, 准确度•Actual frequency, 实际频数•Adaptive estimator, 自适应估计量•Addition, 相加•Addition theorem, 加法定理•Additive Noise, 加性噪声•Additivity, 可加性•Adjusted rate, 调整率•Adjusted value, 校正值•Admissible error, 容许误差•Aggregation, 聚集性•Alpha factoring,α因子法•Alternative hypothesis, 备择假设•Among groups, 组间•Amounts, 总量•Analysis of correlation, 相关分析•Analysis of covariance, 协方差分析•Analysis Of Effects, 效应分析•Analysis Of Variance, 方差分析•Analysis of regression, 回归分析•Analysis of time series, 时间序列分析•Angular transformation, 角转换•ANOV A (analysis of variance), 方差分析•ANOV A Models, 方差分析模型•ANOV A table and eta, 分组计算方差分析•Arcing, 弧/弧旋•Arcsine transformation, 反正弦变换•Area 区域图•Area under the curve, 曲线面积•AREG , 评估从一个时间点到下一个时间点回归相关时的误差•ARIMA, 季节和非季节性单变量模型的极大似然估计•Arithmetic grid paper, 算术格纸•Arithmetic mean, 算术平均数•Arrhenius relation, 艾恩尼斯关系•Assessing fit, 拟合的评估•Associative laws, 结合律•Asymmetric distribution, 非对称分布•Asymptotic bias, 渐近偏倚•Asymptotic efficiency, 渐近效率•Asymptotic variance, 渐近方差•Attributable risk, 归因危险度•Attribute data, 属性资料•Attribution, 属性•Autocorrelation, 自相关•Autocorrelation of residuals, 残差的自相关•Average, 平均数•Average confidence interval length, 平均置信区间长度•Average growth rate, 平均增长率[编辑]B•Bar chart, 条形图•Bar graph, 条形图•Base period, 基期•Bayes' theorem , Bayes定理•Bell-shaped curve, 钟形曲线•Bernoulli distribution, 伯努力分布•Best-trim estimator, 最好切尾估计量•Bias, 偏性•Binary logistic regression, 二元逻辑斯蒂回归•Binomial distribution, 二项分布•Bisquare, 双平方•Bivariate Correlate, 二变量相关•Bivariate normal distribution, 双变量正态分布•Bivariate normal population, 双变量正态总体•Biweight interval, 双权区间•Biweight M-estimator, 双权M估计量•Block, 区组/配伍组•BMDP(Biomedical computer programs), BMDP统计软件包•Boxplots, 箱线图/箱尾图•Breakdown bound, 崩溃界/崩溃点[编辑]C•Canonical correlation, 典型相关•Caption, 纵标目•Case-control study, 病例对照研究•Categorical variable, 分类变量•Catenary, 悬链线•Cauchy distribution, 柯西分布•Cause-and-effect relationship, 因果关系•Cell, 单元•Censoring, 终检•Center of symmetry, 对称中心•Centering and scaling, 中心化和定标•Central tendency, 集中趋势•Central value, 中心值•CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测•Chance, 机遇•Chance error, 随机误差•Chance variable, 随机变量•Characteristic equation, 特征方程•Characteristic root, 特征根•Characteristic vector, 特征向量•Chebshev criterion of fit, 拟合的切比雪夫准则•Chernoff faces, 切尔诺夫脸谱图•Chi-square test, 卡方检验/χ2检验•Choleskey decomposition, 乔洛斯基分解•Circle chart, 圆图•Class interval, 组距•Class mid-value, 组中值•Class upper limit, 组上限•Classified variable, 分类变量•Cluster analysis, 聚类分析•Cluster sampling, 整群抽样•Code, 代码•Coded data, 编码数据•Coding, 编码•Coefficient of contingency, 列联系数•Coefficient of determination, 决定系数•Coefficient of multiple correlation, 多重相关系数•Coefficient of partial correlation, 偏相关系数•Coefficient of production-moment correlation, 积差相关系数•Coefficient of rank correlation, 等级相关系数•Coefficient of regression, 回归系数•Coefficient of skewness, 偏度系数•Coefficient of variation, 变异系数•Cohort study, 队列研究•Collinearity, 共线性•Column, 列•Column effect, 列效应•Column factor, 列因素•Combination pool, 合并•Combinative table, 组合表•Common factor, 共性因子•Common regression coefficient, 公共回归系数•Common value, 共同值•Common variance, 公共方差•Common variation, 公共变异•Communality variance, 共性方差•Comparability, 可比性•Comparison of bathes, 批比较•Comparison value, 比较值•Compartment model, 分部模型•Compassion, 伸缩•Complement of an event, 补事件•Complete association, 完全正相关•Complete dissociation, 完全不相关•Complete statistics, 完备统计量•Completely randomized design, 完全随机化设计•Composite event, 联合事件•Composite events, 复合事件•Concavity, 凹性•Conditional expectation, 条件期望•Conditional likelihood, 条件似然•Conditional probability, 条件概率•Conditionally linear, 依条件线性•Confidence interval, 置信区间•Confidence limit, 置信限•Confidence lower limit, 置信下限•Confidence upper limit, 置信上限•Confirmatory Factor Analysis , 验证性因子分析•Confirmatory research, 证实性实验研究•Confounding factor, 混杂因素•Conjoint, 联合分析•Consistency, 相合性•Consistency check, 一致性检验•Consistent asymptotically normal estimate, 相合渐近正态估计•Consistent estimate, 相合估计•Constrained nonlinear regression, 受约束非线性回归•Constraint, 约束•Contaminated distribution, 污染分布•Contaminated Gausssian, 污染高斯分布•Contaminated normal distribution, 污染正态分布•Contamination, 污染•Contamination model, 污染模型•Contingency table, 列联表•Contour, 边界线•Contribution rate, 贡献率•Control, 对照, 质量控制图•Controlled experiments, 对照实验•Conventional depth, 常规深度•Convolution, 卷积•Corrected factor, 校正因子•Corrected mean, 校正均值•Correction coefficient, 校正系数•Correctness, 正确性•Correlation coefficient, 相关系数•Correlation, 相关性•Correlation index, 相关指数•Correspondence, 对应•Counting, 计数•Counts, 计数/频数•Covariance, 协方差•Covariant, 共变•Cox Regression, Cox回归•Criteria for fitting, 拟合准则•Criteria of least squares, 最小二乘准则•Critical ratio, 临界比•Critical region, 拒绝域•Critical value, 临界值•Cross-over design, 交叉设计•Cross-section analysis, 横断面分析•Cross-section survey, 横断面调查•Crosstabs , 交叉表•Crosstabs 列联表分析•Cross-tabulation table, 复合表•Cube root, 立方根•Cumulative distribution function, 分布函数•Cumulative probability, 累计概率•Curvature, 曲率/弯曲•Curvature, 曲率•Curve Estimation, 曲线拟合•Curve fit , 曲线拟和•Curve fitting, 曲线拟合•Curvilinear regression, 曲线回归•Curvilinear relation, 曲线关系•Cut-and-try method, 尝试法•Cycle, 周期•Cyclist, 周期性[编辑]D• D test, D检验•Data acquisition, 资料收集•Data bank, 数据库•Data capacity, 数据容量•Data deficiencies, 数据缺乏•Data handling, 数据处理•Data manipulation, 数据处理•Data processing, 数据处理•Data reduction, 数据缩减•Data set, 数据集•Data sources, 数据来源•Data transformation, 数据变换•Data validity, 数据有效性•Data-in, 数据输入•Data-out, 数据输出•Dead time, 停滞期•Degree of freedom, 自由度•Degree of precision, 精密度•Degree of reliability, 可靠性程度•Degression, 递减•Density function, 密度函数•Density of data points, 数据点的密度•Dependent variable, 应变量/依变量/因变量•Dependent variable, 因变量•Depth, 深度•Derivative matrix, 导数矩阵•Derivative-free methods, 无导数方法•Design, 设计•Determinacy, 确定性•Determinant, 行列式•Determinant, 决定因素•Deviation, 离差•Deviation from average, 离均差•Diagnostic plot, 诊断图•Dichotomous variable, 二分变量•Differential equation, 微分方程•Direct standardization, 直接标准化法•Direct Oblimin, 斜交旋转•Discrete variable, 离散型变量•DISCRIMINANT, 判断•Discriminant analysis, 判别分析•Discriminant coefficient, 判别系数•Discriminant function, 判别值•Dispersion, 散布/分散度•Disproportional, 不成比例的•Disproportionate sub-class numbers, 不成比例次级组含量•Distribution free, 分布无关性/免分布•Distribution shape, 分布形状•Distribution-free method, 任意分布法•Distributive laws, 分配律•Disturbance, 随机扰动项•Dose response curve, 剂量反应曲线•Double blind method, 双盲法•Double blind trial, 双盲试验•Double exponential distribution, 双指数分布•Double logarithmic, 双对数•Downward rank, 降秩•Dual-space plot, 对偶空间图•DUD, 无导数方法•Duncan's new multiple range method, 新复极差法/Duncan新法[编辑]E•Error Bar, 均值相关区间图•Effect, 实验效应•Eigenvalue, 特征值•Eigenvector, 特征向量•Ellipse, 椭圆•Empirical distribution, 经验分布•Empirical probability, 经验概率单位•Enumeration data, 计数资料•Equal sun-class number, 相等次级组含量•Equally likely, 等可能•Equivariance, 同变性•Error, 误差/错误•Error of estimate, 估计误差•Error type I, 第一类错误•Error type II, 第二类错误•Estimand, 被估量•Estimated error mean squares, 估计误差均方•Estimated error sum of squares, 估计误差平方和•Euclidean distance, 欧式距离•Event, 事件•Event, 事件•Exceptional data point, 异常数据点•Expectation plane, 期望平面•Expectation surface, 期望曲面•Expected values, 期望值•Experiment, 实验•Experimental sampling, 试验抽样•Experimental unit, 试验单位•Explained variance (已说明方差)•Explanatory variable, 说明变量•Exploratory data analysis, 探索性数据分析•Explore Summarize, 探索-摘要•Exponential curve, 指数曲线•Exponential growth, 指数式增长•EXSMOOTH, 指数平滑方法•Extended fit, 扩充拟合•Extra parameter, 附加参数•Extrapolation, 外推法•Extreme observation, 末端观测值•Extremes, 极端值/极值[编辑]F• F distribution, F分布• F test, F检验•Factor, 因素/因子•Factor analysis, 因子分析•Factor score, 因子得分•Factorial, 阶乘•Factorial design, 析因试验设计•False negative, 假阴性•False negative error, 假阴性错误•Family of distributions, 分布族•Family of estimators, 估计量族•Fanning, 扇面•Fatality rate, 病死率•Field investigation, 现场调查•Field survey, 现场调查•Finite population, 有限总体•Finite-sample, 有限样本•First derivative, 一阶导数•First principal component, 第一主成分•First quartile, 第一四分位数•Fisher information, 费雪信息量•Fitted value, 拟合值•Fitting a curve, 曲线拟合•Fixed base, 定基•Fluctuation, 随机起伏•Forecast, 预测•Four fold table, 四格表•Fourth, 四分点•Fraction blow, 左侧比率•Fractional error, 相对误差•Frequency, 频率•Frequency polygon, 频数多边图•Frontier point, 界限点•Function relationship, 泛函关系[编辑]G•Gamma distribution, 伽玛分布•Gauss increment, 高斯增量•Gaussian distribution, 高斯分布/正态分布•Gauss-Newton increment, 高斯-牛顿增量•General census, 全面普查•Generalized least squares, 综合最小平方法•GENLOG (Generalized liner models), 广义线性模型•Geometric mean, 几何平均数•Gini's mean difference, 基尼均差•GLM (General liner models), 通用线性模型•Goodness of fit, 拟和优度/配合度•Gradient of determinant, 行列式的梯度•Graeco-Latin square, 希腊拉丁方•Grand mean, 总均值•Gross errors, 重大错误•Gross-error sensitivity, 大错敏感度•Group averages, 分组平均•Grouped data, 分组资料•Guessed mean, 假定平均数[编辑]H•Half-life, 半衰期•Hampel M-estimators, 汉佩尔M估计量。

ASTM C978-04

Designation:C978–04Standard Test Method forPhotoelastic Determination of Residual Stress in a Transparent Glass Matrix Using a Polarizing Microscope and Optical Retardation Compensation Procedures1This standard is issued under thefixed designation C978;the number immediately following the designation indicates the year of original adoption or,in the case of revision,the year of last revision.A number in parentheses indicates the year of last reapproval.A superscript epsilon(e)indicates an editorial change since the last revision or reapproval.1.Scope1.1This test method covers the determination of residual stresses in a transparent glass matrix by means of a polarizing microscope using null or retardation compensation procedures.1.2Such residual stress determinations are of importance in evaluating the nature and degree of residual stresses present in glass matrixes due to cord,or the degree offit,or suitability of a particular combination of glass matrix and enamel,or applied color label(ACL).1.3The retardation compensation method of optically de-termining and evaluating enamel or ACL residual stress sys-tems offers distinct advantages over methods requiring physi-cal property measurements or ware performance tests due to its simplicity,reproducibility,and precision.1.4Limitations—This test method is based on the stress-optical retardation compensation principle,and is therefore applicable only to transparent glass substrates,and not to opaque glass systems.1.5Due to the possibility of additional residual stresses produced by ion exchange between glasses of different com-positions,some uncertainty may be introduced in the value of the stress optical coefficient in the point of interest due to a lack of accurate knowledge of chemical composition in the areas of interest.1.6This test method is quantitatively applicable to and valid only for those applications where such significant ion exchange is not a factor,and stress optical coefficients are known or determinable.1.7The extent of the ion exchange process,and hence the magnitudes of the residual stresses produced due to ion exchange will depend on the exchange process parameters.The residual stress determinations made on systems in which ion exchange has occurred should be interpreted with those depen-dencies in mind.1.8The values stated in SI units are to be regarded as the standard.The values given in parentheses are for information only.1.9This standard does not purport to address all of the safety concerns,if any,associated with its use.It is the responsibility of the user of this standard to establish appro-priate safety and health practices and determine the applica-bility of regulatory limitations prior to use.2.Referenced Documents2.1ASTM Standards:2C162Terminology of Glass and Glass ProductsC770Test Method for Measurement of Glass Stress-Optical CoefficientE691Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test MethodF218Test Method for Analyzing Stress in Glass3.Terminology3.1Definitions—For additional definitions of terms used in this test method,refer to Terminology C162.3.1.1cord—an attenuated glassy inclusion possessing opti-cal and other properties differing from those of the surrounding glass.C162 3.2Definitions of Terms Specific to This Standard:3.2.1analyzer—a polarizing element,typically positioned between the specimen being evaluated and the viewer.3.2.2applied color label(ACL)—vitrifiable glass color decoration or enamel applied to and fused on a glass surface.3.2.3polarizer—an optical assembly that transmits light vibrating in a single planar direction,typically positioned between a light source and the specimen being evaluated.1This test method is under the jurisdiction of ASTM Committee C14on Glassand Glass Products and is the direct responsibility of Subcommittee C14.10on Glass Decoration.Current edition approved June1,2004.Published June2004.Originally approved st previous edition approved in2002as C978-02.2For referenced ASTM standards,visit the ASTM website,,or contact ASTM Customer Service at service@.For Annual Book of ASTM Standards volume information,refer to the standard’s Document Summary page on the ASTM website.1Copyright©ASTM International,100Barr Harbor Drive,PO Box C700,West Conshohocken,PA19428-2959,United States.3.2.4residual stress—permanent stress that is resident in a glassy matrix.Such residual stress may result either from heat treatment above the strain point of the glass,or from differ-ences in thermal expansion between the glass matrix and a cord,applied enamel,or ACL decoration.3.2.4.1Discussion—The residual stress may be modified either by heat treatment above the strain point,remelting and homogenizing the glass melt,or by removal of afired-on ceramic or glass decoration.Residual stress caused by ion exchange may only be relieved by either reexchanging the glass to its original state,removing the exchanged glass from the matrix,or by remelting the exchanged glass and homog-enizing the resulting glass melt.3.2.5retardation compensator—an optical device,variants of which are used to quantify the optical retardation produced in transparent birefringent materials,typically positioned be-tween the specimen being evaluated and the analyzer.4.Summary of Test Method4.1This test method provides for the quantitative determi-nation of residual stresses in transparent glass matrixes by means of photoelastic retardation compensation procedures. Compensation is achieved by producing a retardation null or extinction in the specimen using either rotating(11.2),bire-fringent quartz wedge(11.3),or tilting(11.4)optical retarda-tion compensators.5.Significance and Use5.1The quality and performance of an article of glassware may be affected not only by the presence of residual stresses due to heat treatment above the strain point in the ware,but also by additional residual stresses caused by differences in thermal expansion between the glass substrate,and either cord,fired-on vitreous enamel,or ACL decoration.5.2The effects of those additional residual cord,enamel,or ACL stresses and the resulting performance of such items may be evaluated by performance test procedures.Such evaluations of enamel or ACL stresses may also be accomplished through the determination of appropriate physical properties of the decoration and matrix glass,or by analytical methods.5.3This test method offers a direct and convenient means of determining the magnitudes and spatial distributions of re-sidual stress systems in glass substrates.The test method is simple,convenient,and quantitatively accurate.5.4This test method is useful in evaluating the degree of compatibility between the coefficient of thermal expansion of an enamel or ACL applied to a glass substrate.6.Apparatus6.1Microscope,monocular or binocular polarizing,havinga rotating,and preferably graduated,sample stage.Binocular microscope heads frequently contain a second,separate polar-izing element intended to minimize internal reflections.If such a binocular microscope is used,care should be taken to ensure that the antireflection polarizing element is removed from the field of view.An eyepiece containing mutually perpendicular or otherwise easily referenced crosshairs should be provided. For retardation determinations using rotating compensation methods,the polarizing microscope must be equipped with a rotatable analyzer element,having a scale graduated in degrees of rotation,capable of being read to at least1°,and a quarter-wave plate,properly indexed.6.2White Light Source should be provided,together with strain-free objective lenses yielding overall magnifications ranging typically from25to1003.6.3Iris Diaphragm,enabling collimation of the light beam transmitted through the specimen being evaluated.6.4Compensator,fixed full-wave retardation,commonly referred to as a sensitive tint plate,full-wave plate,or gypsum plate,having afixed retardation value centered on565-nm wavelength.6.5Compensator,3appropriate variable retardation,used to null or compensate,and thereby determine,the magnitude of the stress-optical retardation effect produced by the residual stress induced in the glass substrate.Variable compensators may be used.6.5.1Wedge,graduated birefringent,of continuously vary-ing thickness,typically made of crystalline quartz,calibrated to yield retardation values directly and covering a range of four to six orders of retardation,or approximately from2200to 3300-nm total retardation.6.5.2Tilting Compensator,4typically capable of allowing determination offive orders of retardation.6.5.3Rotating Compensator,5typically allowing a deter-mination of retardation of one order or one wavelength in magnitude to be determined.A monochromatizingfilter is usually provided by the rotating compensator manufacturer. Care should be taken to use the appropriate matchingfilter for the particular rotating compensator being used.6.6Data Conversion Tables—The latter two tilting and rotating variable compensator types provide raw data in the form of angles of rotation,from which retardation data may be obtained through the use of conversion tables provided by the manufacturer,specific to the particular rotating compensator being used.6.7Glass Immersion Dish,strain-free,flat bottomed,of sufficient diameter to convenientlyfit on the microscope stage. The immersion dish should not,in and of itself,add any significant optical retardation to thefield of view.The dish should be of sufficient depth to enable the specimen section being evaluated to be completely immersed in an index of refraction matching immersionfluid.6.8Suitable Immersion Fluid,having an index of refraction matching that of the glass substrate being evaluated,generally to within60.01units in refractive index as mentioned in Test Method F218.6.9Sample Holder,to orient and maintain the planes of stress at the point of interest(POI),parallel to the optical column of the microscope,if the geometry of the specimen section is such that the planes of stress to be examined do not initially parallel the optical axis of the microscope.3Compensators of Senarmont,Berek,and Friedel type and graduated quartz compensators have been found suitable for this purpose.4A compensator of the Berek type has been found satisfactory for this purpose.5Compensators of the Friedel or Senarmont type have been found satisfactory for thispurpose.6.10Means of Preparing the Section Containing the POI to be Analyzed ,such as an abrasive or diamond-impregnated cutoff wheel,or a hot wire bottle-cutting apparatus.Care should be taken to ensure that the section is not heated during cutting so as to affect the residual stress distribution in the specimen section.6.11Means of Physically Measuring the Optical Path Length ,paralleling the stress planes through the thickness of the section containing the POI to within 0.03mm (0.001in.).7.Sampling7.1The test specimens may be sections cut from appropriate locations containing areas of interest to be evaluated in production sampled articles of commerce,fired decorated or enameled ware,or laboratory specimens especially prepared for evaluation.8.Test Specimens 68.1Ensure that the test specimen is appropriately annealed,in that retardation due to inappropriate annealing could affect the retardation due to the stress systems being evaluated at the POI.N OTE 1—To ensure proper annealing,determine the stress-optical retardation in a comparable reference area of the test specimen away from the POI,free of ACL and other residual stress sources.Proper annealing should result in minimal retardation due to annealing stress in the selected reference area.8.2Cut a section,of generally not less than 2.0mm (0.08in.)and not more than 30.0mm (1.18in.)in optical path length,from the portion of the ware containing the POI.The section may then consist of a bar,a ring,or other appropriately shaped section.8.2.1In the case of ring section specimens,especially those used for cord,vitreous enamel,or ACL stress evaluations,open the ring section with a vertical saw cut to form a narrow kerf,relieving whatever architectural stresses may be present in the section.8.2.2Care should be taken to ensure that both cut section surfaces are parallel to each other,and are perpendicular to the optical path length of the section paralleling the planes of residual stress in the POI being evaluated.8.3If the sections being cut contain high magnitudes of retardation at the POI,the cut section thickness may be decreased proportionately from the thickness values listed in 8.2to decrease the magnitude of retardation to be measured at the POI.9.Preparation of Apparatus9.1Ensure that the microscope optical system is properly aligned and the objectives to be used in the examination are properly centered.The objectives should be relatively low powered,2.5to 103being used during the initial examination procedure.The microscope eyepiece should contain a pair of mutually perpendicular or otherwise easily referenced crosshairs.9.2Orient the eyepiece such that one or both of the eyepiece crosshairs parallel the 45°diagonal positions in the field of view.The crosshairs will be used to orient the sections for which retardation determinations are to be made.9.3The microscope polarizing element should be oriented in the optical column at 0°or in an East-West (E-W)alignment,while the analyzer should be set in the field of view at 90°or a North-South (N-S)alignment,perpendicular to the polarizer.The microscope field of view should be at maximum darkness or extinction at this point if the polarizing elements are properly oriented,that is,mutually perpendicular to one another with no compensator installed.9.4If the field of view should not be at maximum darkness or extinction,the less-than-dark or brightened field indicates that the polarizing elements are not mutually perpendicular.The East-West alignment of the polarizer should be checked and then the analyzer should be rotated to a mutually perpen-dicular alignment with the polarizer,a position where the field of view is at its darkest,extinction position.9.5On insertion of a fixed,sensitive tint plate or a full-wave retardation plate in the microscope accessory slot,which plate is aligned at 45°between properly crossed polarizing elements,the darkened extinction field of view should then become reddish-purple or magenta in color.10.Calibration and Standardization10.1For microscopes and compensators that are not factory-standardized to determine the optical sign of stresses,the sense of the stresses being evaluated,that is,their tensile or compressive nature,must be established for the particular microscope being used with either a sensitive tint plate or full-wave fixed retardation compensator installed in the micro-scope column accessory slot between crossed polarizers.This may be accomplished,for instance,by positioning a well-annealed split ring section,containing a saw cut or kerf,in the field of view as shown in Fig.1.A bar section,or other calibration section,may be similarly bent producing an iden-tical effect.N OTE 2—The calibration section used should have stress-optical retar-dation characteristics similar to the section being evaluated.10.2Orient the outer original surface of the section,directly opposite the kerf,to lie parallel to the diagonal Northeast-Southwest (NE-SW)direction in the field of view as seen in Fig.1(a ).10.3Gently squeeze the ring section across a diameter paralleling the NE-SW diagonal to produce a tensile stress on the original outside section surface at the region of interest (POI)at Point A .A simultaneous compressive stress will be generated on the inside section surface near the POI at Point B ,directly opposite Point A on the tensile surface.10.4Note and record the specimen POI orientation relative to the two diagonal positions,and the retardation color pro-duced on the outside tensile surface of the section at Point A with the sensitive tint plate installed in the microscope.10.5Rotate the section 90°clockwise,such that the POI on the outer original section surface at Point A ,opposite the saw kerf,is now oriented parallel to the Northwest-Southeast (NW-SE)diagonal in the field of view as seen in Fig.1(b ).6“Polariscopic Examination of Glass Container Sections,”Journal of the American Ceramic Society ,V ol 27,No.3,March,1944.10.6Gently squeeze the section in a direction paralleling the NW-SE diagonal and again note and record the POI orientation and the retardation color produced on the outside surface of the section due to the tensile stress at Point A .10.7The blue position is defined as that specimen POI orientation parallel to which a planar tensile stress of sufficient magnitude will be revealed by a bluish retardation color,between crossed polarizers with a sensitive tint plate or full-wave compensator installed.A compressive stress,of sufficient and equal magnitude,will be revealed by an orangy retardation color in the same blue specimen position.10.8When the specimen section POI is then rotated 90°from the blue position to the position where its outside surface parallels the diagonal position opposite the blue position,that same tensile stress will appear as an orangy retardation color,hence the name,orange position.The corresponding compres-sive stress,of sufficient and equal magnitude,will now appear as a bluish retardation color in the orange position.10.9Retardation readings should be referenced to the par-ticular position,that is,blue or orange position,in which the retardation readings were made.10.10Typical specimen section POI orientations,relative to the particular compensator slow-wave direction necessary to provide proper blue-and orange-position locations for the variable compensators described in this test method,are shown in Table 1.10.11The particular diagonal specimen POI orientation corresponding to the blue position in a specific quadrant within the field of view may vary for different microscopes,depend-ing on the particular orientation of the polarizing elements and compensators being used.Therefore the specimen-section positioning procedures outlined in 10.2through 10.8should be periodically checked and reaffirmed.11.Procedure11.1Specimen Orientation —Rotate the graduated micro-scope stage containing the specimen section so that the POI in the specimen section to be evaluated is in a N-S orientation.11.1.1The specimen section POI containing the residual stress system to be analyzed should be uniformly dark,with the fixed compensator removed from the field,as should the background field of view exterior to the specimen.The specimen POI is said to be in the EXTINCTION position in this orientation.11.1.2The POI should exhibit complete extinction on being rotated to successive 90°positions relative to the initial N-S POI orientation.11.1.3Rotate the microscope stage bearing the specimen section POI exactly 45°clockwise using either the graduated rotating stage scale or the eyepiece crosshairs as references from the N-S orientation achieved in 11.1,to put the specimen section surface containing the POI to be analyzed in a DIAGONAL (NE-SW)orientation.11.1.4The POI should exhibit its maximum brightness or highest order retardation color in this position.11.1.5Rotate the specimen section 90°counterclockwise to the opposite diagonal position,that is,paralleling the DIAGO-NAL (NW-SE)orientation.(a )BluePosition(b )Orange PositionFIG.1Split Ring Section Used in Establishing Stress Sense andProper Specimen OrientationTABLE 1Retardation Color Equivalents With and Without Sensitive Tint Plate (Observed Color in Flint Soda-Lime-SilicaGlass Only)AN OTE 1—Letters a through o indicate the most distinctive colors for various ranges.When using the tint plate in the orange position,if the color appears to fall between c and e ,reorient the POI to the blue position,and verify that the retardation color at the POI is indeed d .N OTE 2—The retardation colors indicated in the table are referenced only to transparent colorless flint soda-lime-silica glasses.With 565-nm Sensitive Tint PlateBlue Position Orange Position Equivalent Retardation,nm violet-red violet-red 0violet-blue (a)red(a)20(b)dark blue red-orange (b)35blue(c)orange(c)75(d)blue-green orange-yellow (d)120deep green (e)gold-yellow (e)150(f)greenyellow(f)180pale green(g)pale yellow (g)220(h)yellowish green yellow-white (h)255greenish yellow (i)white(i)290pale yellowgray-white330Without 565-nm Sensitive Tint Plate Orange positionEquivalent Retardation,nm black0gray (various shades)up to 255gray-yellow 290(j)dirty yellow (j)330(k)dirty brown (k)380(l)brown-orange (l)440(m)brown-red (m)480(n)violet-red (n)565(o)blue-green(o)675A“Polariscopic Examination of Glass Container Sections,”Journal of the American Ceramic Society ,Vol 27,Number 3,March1944.11.1.6Observe and note the orientation and the retardation color seen in the specimen POI,both with and without the sensitive tint plate installed,in both orientations.11.1.7The complementary retardation colors observed in the POI when oriented in opposing diagonal positions,both with and without the tint plate installed,may be used in conjunction with Table1to qualitatively determine retardation values corresponding to various retardation colors observed in the POI in colorless orflint soda-lime-silica glass only.11.1.8Table1may be used to obtain an initial estimate of the magnitude of retardation present at the POI.This estima-tion procedure also serves as a verification of the respective quantitative retardation determination procedures detailed in 11.1.9through11.1.13.11.1.9Note the orientation of the slow-wave reference direction indicated on the body of thefixed sensitive-tint or full-wave compensator.11.1.10Insert thefixed compensator into the accessory slot of the microscope optical column.The slow-wave direction of thefixed compensator should parallel the NE-SW diagonal position as shown in Fig.2.11.1.11Observe and note the change in the retardation color exhibited at the POI in the specimen positioned under the intersection of the eyepiece crosshairs upon complete insertion of the compensator.11.1.12If the retardation color at the POI increases in order on insertion of thefixed retardation compensator,that is, different values of retardation color corresponding to increas-ing retardation values are seen,as depicted in a Michel-Levy retardation color chart,the specimen POI is oriented in the ADDITIVE position.11.1.13However,if the retardation color at the POI de-creases in order on insertion of thefixed compensator,the specimen POI is said to be in the SUBTRACTIVE position.11.1.14To make a valid retardation determination,extinc-tion,or retardation compensation,must be produced in the POI in the specimen section under examination.Since tensile or compressive stresses will produce positive or negative retarda-tions,respectively,in most common glass systems,the sense of the residual stress systems must be established using the procedures outlined in10.2through10.8,and the POI properly oriented to the slow-wave direction of the particular variable compensator being used.The retardation produced in the POI must then be exactly compensated or nulled by the particular variable retardation compensator being used.11.2Rotating Compensator Retardation Determination: 11.2.1With the specimen section containing the POI re-moved from thefield of view,insert a monochromatizingfilter, appropriate to the particular rotating compensator being used, into the microscope optical path below the microscope con-densing lens assembly.Thisfilter monochromatizes white light for the rotating compensator retardation measurement proce-dure,and is closely matched to a specific rotating compensator. Rotating compensators may be constructed to require either a 546or a589-nm monochromatizingfilter.Ensure that the correctfilter is being used with the appropriate rotating compensator.The transmitted wavelength must be known,and is used in the computation of the measured retardation.11.2.2Insert thefixed subparallel retardation compensator fully into the microscope accessory slot with the double-headed arrow indicating the slow-wave direction marked on the compensator body in an East-West(E-W)orientation,as shown in Fig.3.Adjust the subparallel compensator such that thefield is at maximum extinction.Secure the compensator in the maximum EXTINCTION position.N OTE3—The microscope polarizer should have been previously aligned to a0°or E-W orientation,and the analyzer should have been set to a90°N-S orientation producing extinction or a darkenedfield of view, as detailed in Section9on Preparation of Apparatus.11.2.3Position the specimen POI containing the tensile stress to be analyzed under the microscope crosshairs,and orient the specimen section to a diagonal(NE-SW)alignment as shown in Fig.1(a),using the specimen orientation procedure detailed in10.2through10.8.FIG.2Orientation of the Fixed Retardation Compensator Slow-Wave VibrationDirectionFIG.3Orientation of the Rotating Compensator Slow-WaveVibrationDirection11.2.4If the specimen contains residual strain located at the POI,the POI will exhibit a retardation effect in the form of a brightenedfield at the POI,rather than appearing completely dark or extinct.Maintain the specimen POI in its(NE-SW) diagonal position.11.2.5Rotate the analyzer element to an increasing rotation scale value,beginning at the90°EXTINCTION position. Observe whether a null or extinction is produced at the exact location within the POI where compensation is to be pensation will be achieved at an analyzer rotation where a zero order or dark retardation band becomes posi-tioned at the POI under the crosshairs as the analyzer rotation is increased from its initial90°setting.Note and record the analyzer rotation setting corresponding to the extinction posi-tion at the POI.11.2.6If extinction,in the form of a darkened zero-order retardation band,does not occur at the POI in thefirst90°of analyzer rotation,that is,by an indicated angle setting of180°rotation,the specimen POI must then be rotated90°to the alternative diagonal position,and the compensation procedure, as detailed in11.2.5,repeated to produce compensation or extinction at the POI.11.2.6.1Reverse the POI positions in the procedure in11.2.5and11.2.611.2.6in the case of a compressive stress determination.11.2.7The microscope analyzer setting from90to180°rotation,at which compensation or extinction is produced in the POI,is then used to determine an optical retardation value, R,as follows:R5l3a/180°(1) where:l=wavelength,anda=angle of rotation.11.2.8The retardation value is then used in the calculation procedure detailed in Section12to obtain the value of residual stress at the POI.11.3Graduated Quartz Wedge Optical-Retardation Deter-mination:11.3.1If a graduated birefringent wedge(hereinafter re-ferred to as the wedge)is to be used as the variable retardation compensator,attach the wedge device to the uppermost portion of the monocular microscope column,replacing the eyepiece normally positioned in the optical column.(See Fig.4.) 11.3.2Remove the normal microscope analyzer,anyfixed retardation compensator,and specimen sections from the microscope column.11.3.3The wedge device typically consists of a sliding assembly containing the wedge compensator;the device allows the wedge to be pushed through thefield of view,an eyepiece containing mutually perpendicular or other easily referenced crosshairs,and an integral polarizing element that replaces the normal microscope analyzer.11.3.4The presence of the additional integral polarizing element in the wedge assembly requires the removal of the normal microscope analyzing element from the microscope optical column.11.3.5The wedge assembly eyepiece lens should be focused on the crosshair and wedge retardation scale;one of the eyepiece crosshairs should be aligned parallel to the retardation scale appearing on the sliding wedge body in thefield of view.11.3.6With the specimen section removed from thefield of view,and the wedge removed from thefield of view,rotate the wedge assembly such that the polarizing element in the microscope and the analyzer element in the wedge assembly are mutually perpendicular,producing a darkened extinction field.Tighten the wedge mounting attachments tofirmlyfix the wedge device on the microscope column in the EXTINCTION position,and prevent rotation of the assembly.11.3.7Slowly push the wedge compensator through the optical column,observing the progression of retardation colors passing through thefield of view under the eyepiece crosshairs.11.3.8As the wedge is pushed through the optical column, the order of progression of retardation colors observed may initially decrease fromfirst order retardation colors to a zero order or darkened extinction retardation band immediately under the crosshair reference line at the extinction position. Check to ensure that the extinction position corresponds to a zero retardation value on the calibrated wedge retardation scale.11.3.9As the wedge continues to be pushed through the optical column in the same continuing direction past the extinction point,the retardation colors will then be observed to increase in order.The progression of retardation colors pro-duced will continue to increase in order,from black at the EXTINCTION position,to increasingly lighter shades of gray to white to yellow to red,following the sequence shown in Table1for increasing values of retardation.11.3.10Thefirst red retardation color observed at this point in the progression of retardation colors is referred to as first-order red.11.3.10.1The retardation color progression continues to increase in order from red to blue to green to yellow to a second,somewhat paler than thefirst,red retardationcolor. FIG.4Orientation of the Birefringent Wedge-Compensator Slow-Wave VibrationDirection。

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J. Microbiol. Biotechnol. (2010),20(10), 1463–1470doi: 10.4014/jmb.1004.04035First published online 11 August 2010Quantitative Detection of Residual E. coli Host Cell DNA by Real-Time PCRLee, Dong Hyuck1, Jung Eun Bae1, Jung Hee Lee1, Jeong Sup Shin2,3, and In Seop Kim1*1Department of Biological Sciences, Hannam University, Daejeon 305-811, Korea2Quality Control Unit, Green Cross Corp., Chungbuk 363-883, Korea3Department of Molecular Science and Technology, Ajou University, Suwon 443-749, KoreaReceived:April 22, 2010 / Revised:July 8, 2010 / Accepted:July 9, 2010E. coli has long been widely used as a host system for the manufacture of recombinant proteins intended for human the rape utic use. Whe n conside ring the impuritie s to be eliminated during the downstream process, residual host ce ll DNA is a major safe ty conce rn. The pre se nce of residual E. coli host ce ll DNA in the final products is typically d e t e rmin e d using a conv e ntional slot blot hybridization assay or total DNA Threshold assay. However, both the former and latter methods are time consuming, xpe nsive, and re lative ly inse nsitive. This study thus atte mpte d to de ve lop a more se nsitive re al-time PCR assay for the spe cific de te ction of re sidual E. coli DNA. This novel method was then compared with the slot blot hybridization assay and total DNA Thre shold assay in order to determine its effectiveness and overall capabilities. The nove l approach involve d the se le ction of a spe cific primer pair for amplification of the E. coli 16S rRNA gene in an effort to improve sensitivity, whereas the E. coli host ce ll DNA quantification took place through the use of SYBR Green I. The detection limit of the real-time PCR assay, under these optimized conditions, was calculated to be 0.042pg genomic DNA, which was much higher than those of both the slot blot hybridization assay and total DNA Thre shold assay, whe re the de te ction limits we re 2.42 and 3.73pg ge nomic DNA, re spe ctive ly. He nce, the real-time PCR assay can be said to be more reproducible, more accurate, and more precise than either the slot blot hybridization assay or total DNA Thre shold assay. The real-time PCR assay may thus be a promising new tool for the quantitative de te ction and cle arance validation of residual E. coli host cell DNA during the manufacturing process for recombinant therapeutics.Keywords:E. coli host cell DNA, real-time PCR, slot blot hybridization assay, total DNA Threshold assay Among the many systems available for heterologous protein production, the Gram-negative bacterium E. coli remains one of the most attractive because of its ability to grow rapidly with a high density on inexpensive substrates, its well-characterized genetics, and the availability of an increasingly large number of cloning vectors and mutant host strains [1,8,20].The use of E. coli as the host for recombinant therapeutic proteins is subject to many regulatory issues, one of which is the clearance of the host cell DNA [3, 5, 18]. Although the significance of DNA-based contaminants in biopharmaceutical products remains unclear, there is a possibility that residual host cell DN A could transmit genetic information to patients receiving the products. Theoretically, entry of contaminant DNA into the genome of recipient cells could have serious clinical implications. These associated risks include the alteration of the level of expression of cellular genes, or the expression of a foreign gene product [22]. As a consequence, the regulatory authorities state that manufacturers of biopharmaceuticals should control and quantify the amount of residual host cell DN A in final products and validate the clearance of residual host cell DN A during the downstream process. The acceptable residual amount of DN A in the U.S.A., as specified in the Food and Drug Administration (FDA) guidelines, is 100pg per dose, utilizing testing procedures that can detect 10pg [5]. The limit permitted by the World Health Organization (WHO) and the European Union (EU) is up to 10 ng per dose [4].For a number of years, the species-specific DN A hybridization assay and the total DN A Threshold assay have been used to quantify the amount of residual host cell DNA in biopharmaceuticals [26]. The basic principle of a hybridization assay is based on the binding of the DN A probe to immobilized and denatured host cell DNA. The concentration of hybridized DN A in the test sample is evaluated by comparing the hybridization signal generated by the test sample with that of the control standard. The*Corresponding authorPhone: +82-42-629-8754; Fax: +82-42-629-8751;E-mail: inskim@hnu.kr1464Lee et al.total DN A Threshold assay is primarily based on the sequence-independent binding of two proteins specific to single-stranded DN A (ssDN A) [11]. In the latter, one binding protein acts as an antibody, and the other as a so-called single-stranded DNA binding (SSB) protein. First, a reaction complex is formed when the biotinylated SSB protein and the anti-ssDN A antibody (conjugated to urease) bind to single-stranded host cell DNA. A filtration stage follows, during which the strong affinity of streptavidin for biotin is utilized to capture and concentrate the reaction complex onto a biotinylated membrane. For detection, the membrane is placed into a reader that contains the substrate urea. Inside, the urea is hydrolyzed by urease to produce a pH change, which is relative to the amount of host cell DNA in the sample.In the biopharmaceuticals industry, real-time PCR has been applied to amplify and simultaneously quantify a targeted DN A molecule. This enables both the detection and the quantification of a specific sequence in a DN A sample. Practically, real-time PCR has been used to characterize and detect numerous bacterial, fungal, and viral loads in protein therapeutics [9, 10, 13, 16, 24, 25]. Applications of real-time PCR for the specific detection of residual E. coli host cell DN A in plasmid preparations have also been reported [15,21]. However, in the latter examples, the sensitivity of the assays was found to be at the 1pg level, which is nearly the same as those of the slot blot hybridization assay and the total DN A Threshold assay. Recently, a real-time PCR based on SYBR chemistry was developed to specifically and quantitatively detect residual Chinese hamster ovary (CHO) host cell DN A [17]. The real-time PCR method was in these cases found to be highly sensitive and specific. The method could detect CHO genomic DN A to 300 fg. This level of sensitivity is higher than those of both the DNA hybridization method and the total DNA Threshold assay.The objective of this study is to develop a highly sensitive and specific detection method of E. coli host cell DNA using real-time PCR as an alternative means to the conventional slot blot hybridization assay and total DNA Threshold assay. In order to develop a convenient, rapid, and sensitive way of measuring the residual E. coli host cell DN A, a real-time PCR assay based on SYBR chemistry is proposed and will then be compared with the slot blot hybridization assay and the total DNA Threshold assay so as to validate the overall capability of these varying methods.M ATERIALS AND M ETHODSBacterial Strain and Culture MediumThe strain used in this study was E. coli KCTC 1102 harboring a plasmid pET 21b carrying the gene for the granulocyte colony-stimulating factor (Novogen Ltd., U.S.A.). The E. coli strain was grown in LB medium containing 50µg/ml of ampicillin at 37o C. Preparation of Genomic DNAGenomic DNA was extracted from E. coli using an SV mini kit (General Bio System Inc., Korea) in accordance with the manufacturer’s instructions. DNA integrity and concentration were determined by spectrophotometric analysis at 260nm and 280nm (UV-1650 PC; Schimadzu Corp., Japan).Primer Design and PCR Specificity TestOligonucleotide primers against the 16S rRNA gene (GenBank Accession No. J01859.1) were designed for the detection of E. coli DNA by real-time PCR using Primer3 [19]. The primers were synthesized by Bioneer Corp. (Korea). To determine the efficiency of the primers, genomic DNA extracted from E. coli was serially diluted 10-fold from 42,000pg to 0.042pg. A PCR reaction was then carried out with each primer pair using the templates of serially diluted genomic DNA. The PCR was performed in a Palm-Cycler (Corbett Research Ltd., Australia) using the following conditions: initial heat denaturation at 95o C for 2min, followed by 40 cycles each of 95o C for 30s, 54o C for 30s, and 72o C for 35s. Two µl of genomic DNA was amplified in a total volume of 25µl mixture of 10µM forward primer (1µl), 10µM reverse primer (1µl), 2×GoTaq Green Master Mix (Promega Corp., U.S.A.) (12.5µl), and nuclease free water (8.5µl). To ensure complete extension, the reaction mixture was further incubated for 5min at 72o C. Amplified DNA was analyzed by gel electrophoresis using a 1.5% (w/v) agarose gel (Sigma Corp., U.S.A.).Optimization of Quantitative Real-Time PCR AssayReal-time PCR was performed with a Rotor-Gene 3000 (Corbett Research Ltd., Australia) using the following conditions: an initial heat denaturation at 95o C for 15min, followed by 40 cycles each of denaturation at 95o C for 10s, annealing at different temperatures of 52, 54, 56, 58, or 60o C for 20s, and an extension at 72o C for 30s. Two µl of genomic DNA was amplified in a total volume of a 20µl mixture of a 10µM forward primer (0.5µl), a 10µM reverse primer (0.5µl), 4× AccuPower Greenstar PCR PreMix containing Hot-Start Taq DNA polymerase, SYBR Green I, and deoxynucleotide triphosphate mix in a 5µl quantity (manufactured by Bioneer Corp., Korea), and nuclease free water (12µl). To ensure complete extension, the reaction mixture was further incubated for 10min at 72o C. I mmediately following PCR, a melting curve analysis was performed by raising the incubation temperature from 72 to 95o C in 0.2o C increments with a hold of 1s at each increment. Real-time PCR conditions in relation to the primer concentration, annealing temperature and time, and MgCl2 concentrations were optimized. Negative controls were run with each experiment. All reactions were run in duplicate.Determination of Sensitivity and Reproducibility of Real-Time PCR AssayTo obtain a standard curve and to verify the sensitivity of the real-time PCR assay, serial 10-fold dilutions from 42,000pg to 0.042pg of E. coli genomic DNA, were amplified using the optimized conditions. A standard curve for quantification was generated by plotting the log of the DNA concentration of the known standard against the threshold cycle (Ct) value.D ETECTION OF R ESIDUAL E. coli H OST C ELL DNA1465DNA Quantification Using Slot Blot Hybridization AssayE. coli genomic DNA standards were labeled with digoxigenin-dUTP by using the DI G DNA Labeling and Detection Kit (Roche, Basel, Switzerland). The general slot blot hybridization method, using DI G-labeled probes, was performed in accordance with the instructions of the DI G DNA Labeling and Detection Kit. E. coli genomic DNA standards were denatured (boiling for 10min and rapidly cooling in ice water) and slot-blotted to a nylon membrane (Hybond-N+; Amersham Ltd., U.K.) and then fixed by baking at 80o C for 2h under vacuum. The membrane was prehybridized in an appropriate volume of DIG Easy Hyb (20ml/100cm2 filter) at 50o C for 30min. Denatured DIG-labeled DNA probes (boiling for 10min and rapidly cooling in ice) were added in pre-heated DIG Easy Hyb (3.5ml/100cm2 membrane) and hybridized at 50o C for 6-8h. The membrane was washed after hybridization (i) in 2×SSC, 0.1% SDS at room temperature for 5min twice, and (ii) in 0.1×SSC, 0.1% SDS for 15min at 65o C twice. The DNA hybrid was detected using an HRP-conjugated anti-DI G antibody. The membrane were then washed in washing buffer once for 1-5min, incubated in a 100ml blocking solution and in a 20ml antibody solution once by turns, washed in a washing buffer twice for 15min, and then equilibrated in a 20ml detection buffer. The substrate for alkaline phosphate was added, for development, for 3-12h until an ideal dark-blue positive reaction appeared. All reactions were run in duplicate.DNA Quantification Using Threshold AssayThe total DNA assay was conducted using the Threshold System and the Threshold Total DNA Assay Kit according to the instructions of the manufacturer (Molecular Devices Inc., U.S.A.). E. coli genomic DNA standards were heat denatured at 105o C for 15min. I n the reaction stage, a mixture containing the biotinylated SSB protein, streptavidin, and urease-conjugated monoclonal antibody against ssDNA was added to each standard and incubated for 1h at 37o C. Reaction mixtures were transferred to wells in the manifold of the Threshold workstation for the separation stage of the assay. Mixtures were filtered through the biotin-coated nitrocellulose membranes under a controlled vacuum. Wells were washed with a wash solution, and filtration was allowed to continue under high vacuum. I n the detection stage, the dipstick membranes were transferred to the Threshold reader. Captured urease contained in the DNA-protein complexes converted the urea substrate, which resulted in detectable pH changes in the substrate solution. Corresponding samples, spiking at 50pg of calf thymus DNA, were also assayed in order to calculate spike recoveries according to the manufacturer’s recommendations. Samples were assayed in triplicate. All the controls were within the range indicated on the certificate of analysis from the parative Validation of Real-Time PCR, Slot Blot Hybridization, and Threshold AssaysThe precision, accuracy, linearity, and detection limit of the three methods for quantitative detection of residual host cell DNA were validated according to FDA guidance for industry, the bioanalytical method validation [6]. E. coli genomic DNA (200µg) was fragmented using the restriction enzymes Hin dIII and Eco RI. The fragmented E. coli genomic DNA was used as the standard DNA for method validation. The precision of an analytical method describes the closeness of individual measures of an analyte when the procedure is applied repeatedly to multiple aliquots of a single homogeneous volume of a biological matrix. Precision was measured using samples containing 62.5 and 125pg of E. coli of genomic DNA standard. The concentrations of the samples were measured 6 times on different days, and then averages of standard deviations (SD), and the coefficient of variations (CV), were determined.The accuracy of an analytical method describes the closeness of mean test results obtained by the method to the true value (concentration) of the analyte. E. coli genomic DNA standards were spiked to a drug substance at the concentrations of 31.25, 62.5, and 125pg, respectively. The concentrations of the spiked samples were measured 6 times on different days, and the percentage of recovery of the spiked sample was calculated. The deviation of the mean from the true value served as the measure of accuracy.The linearity of an analytical procedure is its ability (within a given range) to obtain test results that are directly proportional to the concentration (amount) of analyte in the sample. Standard solutions containing 1,000, 500, 250, 125, 62.5, 31.25, 15.6, and 7.8pg of E. coli genomic DNA fragments, and the negative standard solutions, were prepared for the validation of slot blot hybridization and threshold assays, and standard solutions containing 4,200, 420, 42, 4.2, 0.42, and 0.042pg of E. coli genomic DNA fragment and negative standard solution were prepared for the validation of the real-time PCR. The concentrations of the samples were measured 6 times on different days. Standard curves were generated for each experiment, and the correlation coefficient was evaluated by the regression of the standard curve using the method of least squares.The detection limit is determined by the analysis of samples with known concentrations of analyte and by establishing the minimum level at which the analyte can be reliably detected. Standard solutions containing 1,000, 500, 250, 125, 62.5, 31.25, 15.6, and 7.8pg of E. coli genomic DNA fragments, and negative standard solution, were used for the validation of slot blot hybridization and threshold assays, and standard solutions containing 4,200, 420, 42, 4.2, 0.42, and 0.042pg of E. coli genomic DNA fragments andTable 1. Sequences of oligonucleotide primer sets used in the detection of E. coli host cell DNA.Forward primer Reverse primer Nucleotideposition aAmpliconsizeER-F1 CAAGACATCATGGCCCTTAC ER-R1 ACTTCATGGAGTCGAGTTGC1194-1334141 ER-F2 AGAAGCTTGCTCTTTGCTGA ER-R2 CTTTGGTCTTGCGACGTTAT78-197120 ER-F3 GCTCGTGTTGTGAAATGTTG ER-R3 GTAAGGGCCATGATGACTTG1067-1213147 ER-F4 TCGAAGTCGAACGAAGCACTTTA ER-R4 GCAGGTTACCCACGCGTTAC61-197137 ER-F5 GTCCAAAGCGGCGATTTG ER-R5 CAGGCCAGAAGTTCTTTT TCCA1148-1297150 a E. coli 16S ribosomal RNA gene (GenBank Accession No. J01859.1).1466Lee et al.negative standard solutions were used for the validation of the real-time PCR. The detection limit was calculated based on a visual evaluation method or the equation 3.3 σ/S, where σ is the standard deviation and S is the slope of the standard curve [7].R ESULTSPrimer SelectionThe 16S rRNA gene is present in multiple copies in the genomes of all known bacteria that belong to the eubacterial kingdom. Many bacterial species contain up to seven copies of these genes [2]. A gene target that is present in multiple copies can increase the sensitivity of the assay. Therefore, oligonucleotide primers against the 16S rRNA gene were designed for the detection of E. coli DNA, using Primer3 (Table 1). Although all five primer pairs could specifically amplify the targeted genes, the primer pair ER-F2 and ER-R2 showed a greater sensitivity and efficiency (data not shown). In addition, there was minimal primer dimer formation.Optimization of Real-Time PCRThe specificity and sensitivity of real-time PCR depends on the annealing temperature and time, and the concentrations of cations and primers in the reaction buffer. To improve the specificity and sensitivity of real-time PCR, such parameters were optimized. Fig. 1 shows the Ct values at different annealing temperatures. The optimal annealing temperature was found to be 54o C. The optimal magnesium concentration was chosen to be 2mM (data not shown). The optimal annealing time and primer concentration were 20s and 0.25µM, respectively.Sensitiv ity and Reproducibility of Real-Time PCR AssayThe sensitivity and reproducibility of the real-time PCR assay were determined. Serial 10-fold dilutions, from 42,000pg to 0.042pg of the E. coli genomic DNA were prepared and amplified using optimized conditions for the generation of the standard curve. Fig. 2 shows an example of the real-time profile of the E. coli genomic DN Aamplification reaction, with a melting curve analysis of the Fig. 1. Optimization of the annealing temperatures.The Ct value refers to the cycle number at which the fluorescence of thePCR reaction rises above a set threshold and is inversely proportional tothe amount of the starting target. (■) 42,000pg of E. coli genomic DNA;(□) 420pg of E. coli genomic DNA; (●) 4.2pg of E. coli genomic DNA;(○) buffer control.Fig. 2. Sensitivity of real-time PCR assay for the quantitativedetection of E. coli host cell DNA.The E. coli host cell DNA of 42,000 pg was serially diluted and cycle-by-cycle detection of E. coli host cell DNA performed with SYBR Green I. A.Amplification plots obtained with 10-fold serial dilutions of E. coli hostcell DNA. B. Melting curve analysis of the amplification plot. C. Agarosegel electrophoresis of amplified products. Lanes: M, 100bp DNA ladder;1, 42,000pg; 2, 4,200pg; 3, 420pg; 4, 42pg; 5, 4.2pg; 6, 0.42pg; 7,0.042pg; NC, buffer control.D ETECTION OF R ESIDUAL E. coli H OST C ELL DNA 1467amplification plot, and agarose gel electrophoresis of the amplified products. The sensitivity of the assay was found to be 0.042 pg. A melting curve analysis of the PCR products showed the specific identity of the PCR products.Agarose gel electrophoresis of the amplified products also showed that the real-time PCR specifically amplified the target gene. Standard curves for quantification were generated by plotting the log of the DNA concentration of the known standard against Ct values (Fig. 3). The standard curves were obtained from three independent assays performed on different days. The log concentration of E. coli genomic DN A on the Ct value between the standard curves was Day 1, y =−3.0036x +30.201 (r 2=0.996); Day 2, y =−3.1976x +30.746 (r 2=0.995); Day 3, y =−3.0868x +30.492 (r 2=0.996). The mean value, SD, and CV (%) of the slopes of the standard curves, were −3.096%, 0.996%, and 3.14%,respectively. In addition, the mean value, SD, and CV (%)of the y -intercepts of the standard curves were 30.480%,0.272%, and 0.89%, respectively.Comparativ e Validation of Real-Time PCR, Slot Blot Hybridization Assay, and Threshold AssayIn order to compare the overall capability of the real-time PCR with the slot blot hybridization and Threshold assays,the precision, accuracy, linearity, and detection limit of the three methods were validated. Precision was determined by measuring the concentration of the two spiked standardsamples (62.5 and 125pg) 6 times on different days (Table 2).The CVs determined from the real-time PCR assay were 1.86% for a 62.5pg-spiked standard and 1.22% for a 125pg-spiked standard, which were lower than those calculated for both the slot blot hybridization assay and Threshold assay. This result indicates that the real-time PCR assay is a highly precise method for the quantification of residual DNA when compared with either the slot blot hybridization assay or the Threshold assay.The accuracy was assessed by analyzing the percentage of recovery of the spiked DNA standard at three different concentrations (31.25, 62.5, and 125pg) (Table 3). The concentrations of the spiked DNA standards were determined 6 times on different days. The mean values of percentage recovery of slot blot hybridization were 102.34, 101.85,and 106.93, respectively. Those of the Threshold assay were 101.60, 100.54, and 101.88, respectively. Finally, those of the real-time assay were 101.25, 100.62, and 101.40,respectively. The mean values of percentage recovery obtained from the three different methods were all within 15% of the actual value, indicating that the three methods were all accurate. However, the standard deviation of percentage recovery obtained from the real-time PCR was lower than those obtained from both the slot blot hybridization and the Threshold assay. This result illustrates that the real-time PCR assay is more accurate than both the slot blot hybridization and Threshold assays.The linearity of the analytical procedures was evaluated via the calculation of a regression line of the standard curve, using the method of least squares (Table 4). The mean values of the correlation coefficients of the slot blot hybridization assays, Threshold assays, and real-time PCRs,obtained from six independent experiments, were 0.976,0.986, and 0.996, respectively. The higher correlation coefficient for the real-time PCR in comparison with the slot blot hybridization and the Threshold assay indicates a higher linearity of the measured concentrations from the standard curve.The detection limits of the slot blot hybridization assay,the Threshold assay, and the real-time PCR were found to be 2.42, 3.73, and 0.042 pg of DNA, respectively (Table 4).The range of the standard curve was from 2.42 to 1,000pg of DNA for the slot blot hybridization assay and from 3.73to 200pg of DNA for the Threshold assay. However, theFig. 3. Reproducibility of the real-time PCR assay for quantitative detection of E. coli host cell DNA.The standard curves were obtained by the regression analysis of Ct values versus initial E. coli host cell DNA amounts. These results were obtained from three independent assays performed on different days.Table 2. V alidation of the detection methods for E. coli host cell DNA: Precision.Concentration of spiked DNA(pg)Concentration of measured DNA (mean ±SD)Slot blot hybridization assay Threshold assay Real-time PCR 62.563.66±5.02 [7.89%]62.84±4.75 [7.56%]62.89±1.17 [1.86%]125133.66±9.38 [7.02%]127.35±3.22 [2.53%]126.75±1.54 [1.22%]E. coli genomic DNA standards were spiked to a drug substance at the concentration of 62.5 and 125pg, respectively. The concentrations of the spiked samples were measured 6 times on different days. The average, standard deviation, and coefficient of variation of the measured concentrations were determined. a Values in square brackets are the coefficient of variation (CV).1468Lee et al.range of the calibration curve for the real-time PCR was from 0.042 to 42,000pg of DNA.D ISCUSSIONResidual E. coli host cell DNA in biopharmaceuticals has been identified as a potential risk factor [12]. Hence, the FDA and other regulatory agencies have provided specific quality control and safety criteria, which require that quantification be carried out on all samples at intermediate points in the process, as well as on the final products [23]. Therefore, it is necessary to perform routine testing on residual host cell DN A on recombinant products or to show, in validation studies, which steps contribute to what extent in the removal of the DNA burden. Because DNA levels and matrix conditions vary during purification, residual DNA analysis in biopharmaceuticals can be very difficult and the methods have to be carefully validated before use [27]. N o matter which approach is used, the assays and methods involved in the determination of residual host cell DN A must fulfill the validation requirements issued by the regulatory agencies [4-6]. Obviously, these techniques must be sensitive enough to detect very low levels of contamination. Generally the slot blot hybridization assay and total DN A Threshold assay have been used for the quantification of residual host cell DN A in the biopharmaceutical industry, although these methods are time consuming, expensive, and relatively insensitive [26].In this study, a highly sensitive, rapid, and specific detection method for E. coli host cell DNA was developed using real-time PCR based on SYBR chemistry. Although there are many types of probes labeled with fluorescent molecules, such as the Molecular beacon, the Taqman probe, the FRET probe, and the Scorpion probe for real-time PCR, these probes are more expensive than SYBR Green I. A drawback in the use of the latter technique is the formation of primer dimers, as these are capable of binding the SYBR Green I dye and registering fluorescence. Therefore, primer design and optimization of real-time PCR are essential [14].The sense and antisense primers were selected to amplify the 120-bp fragment of the highly conserved 16S rRN A gene. This primer set showed a higher sensitivity and a minimal primer dimer formation. One of the important considerations in optimizing a real-time PCR assay is cation concentration. Cations, especially Mg2+, critically influence the melting behavior of DN A and therefore also affect the hybridization of the primers to the target template. The Mg2+ ion binds to the negatively charged phosphate groups on the backbone of the DNA. This weakens the electrorepulsive forces between the target DN A and the primer and stabilizes the primer–template complex. Excessive Mg2+ concentrations can lead to the amplification of nonspecific products and primer dimers, compromising PCR specificity. Although PCR efficiency was not influenced over a broad range of Mg2+ concentrations, from 2mM to 6mM under these reaction conditions when using the AccuPower Greenstar PCR PreMix, the optimal Mg2+ concentration was chosen to be 2mM. The primer concentration also influences the specificity and efficiency of PCR. A high primer concentration allows for more efficient primer annealing during the annealing phase. However, concentrations that are too high will also increase the probability of nonspecific primer binding and primer dimer formation. The optimal primer concentration was therefore chosen to be 0.25µM.PCR amplicons were quantified by following the change in fluorescence of the DN A binding dye SYBR Green I, using a hot-start protocol. Standard curves were generated, by serial dilution of E. coli genomic DN ATable 3. V alidation of the detection methods for E. coli host cell DNA: Accuracy.Concentration of spiked DNA(pg)% Recovery of spiked DNA (mean±SD)Slot blot hybridization assay Threshold assay Real-time PCR31.25 102.34±8.26101.60±10.01101.25±2.1262.5 101.85±8.04 100.54±7.60100.62±1.87125 106.93±7.50 101.88±2.58101.40±1.24E. coli genomic DNA standards were spiked to a drug substance at the concentration of 31.25, 62.5, and 125pg, respectively. The concentrations of the spiked samples were measured 6 times on different days. Percentage recovery of the spiked sample was calculated.Table 4. Validation of the detection methods for E. coli host cellDNA: Linearity and detection limits.ItemSlot blothybridizationassayThresholdassayReal-timePCRLinearity (r2)0.9760.9860.996 Detection limit (pg) 2.42 3.730.042 For the determination of linearity and detection limits, the concentrations of the standard samples were measured 6 times on different days. Standard curves were generated for each experiment and the correlation coefficient (r2) was evaluated by regression of the standard curve using the method of least squares. Detection limits were determined according to the ICH guide [7]. The average of correlation coefficients and detection limits calculated from six independent experiments are presented.。

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