201507FDA行业指南:分析方法验证(中英文)(上)
201507FDA行业指南:分析方法验证(中英文)(下)

201507FDA行业指南:分析方法验证(中英文)(下)VII. STATISTICAL ANALYSIS AND MODELS 统计学分析和模型A. Statistics 统计学Statistical analysis of validation data can be used to evaluate validation characteristics against predetermined acceptance criteria. All statistical procedures and parameters used in the analysis of the data should be based on sound principles and appropriate for the intended evaluation. Several statistical methods are useful for assessing validation characteristics, for example, an analysis of variance (ANOVA) to assess regression analysis R (correlation coefficient) and R squared (coefficient of determination) or linear regression to measure linearity. Many statistical methods used for assessing validation characteristics rely on population normality, and it is important to determine whether or not to reject this assumption. There are many techniques, such as histograms, normality tests, and probability plots that can be used to evaluate the observed distribution. It may be appropriate to transform the data to better fit the normal distribution or apply distribution-free (nonparametric) approaches when the observed data are not normally distributed. Appropriate literature or text should be consulted for information on statistical procedures to use when developing new test methods, evaluating existing test methods or evaluating measurement system performance, as well as other general information on the interpretation and treatment of analytical data[18].The data analysis should be assured either by using appropriately validated software or independent verification for correctness.验证数据的统计学分析可以用于评估验证的属性是否符合预定的可接受标准。
FDA现场检查行业指南(中英文对照)

FDA行业指南-药品现场检查中被认为是延迟、否认、限制或拒绝的情形一、介绍2012年7月9日,《美国食品和药物管理局安全及创新法案》(FDASIA)被签署成为法律。
FDASIA章节707添加了501(j)到《食品、药品和化妆品法令》(FD&C Act),认为“任何从事生产、加工、包装或持有的生产企业、库房造成现场检查的延迟、否认、限制或拒绝的情况均被认为该产品为假劣药品”。
该指南的目的是对“延迟、否认、限制或拒绝”的情形进行定义。
二、定义1、延迟A、检查计划安排的延迟FDA将会根据当地的情况对检查计划进行适当的调整,例如天气、安保、节假日、其他非工作日、企业的生产计划等。
以下延迟的情况将会被认为产品是假劣药品,包括但不仅限于:●企业不同意建议的检查日期,但没有合理的解释。
●在检查安排后,企业要求延迟检查日期,但没有合理的解释。
●企业不能回答为什么FDA联系不上企业指定的联系人。
下面给出了将不会被认为是假劣药品的潜在合理解释的一个例子,但不仅限于:●企业没有正在生产,例如每个月只生产一次,企业要求检查日期另定,以便FDA检查时生产正在进行中。
B、检查期间的延迟以下检查期间的延迟情况将会被认为产品是假劣药品,包括但不仅限于:●企业不允许FDA检查官进入某个区域直至一段时间过去之后,即使这个区域是正在进行操作的并且是FDA有权检查的区域,对于这种行为没有合理的解释。
●企业长时间把FDA检查官单独撂在会议室,没有相应的文件或责任人供审查和询问,从而干扰检查官完成其相应的检查。
下面给出了将不会被认为是假劣药品的潜在合理解释的一个例子,但不仅限于:●企业不允许FDA检查官进入无菌工艺区域,直至检查官能满足企业的无菌更衣程序要求。
C、记录提供延迟以下记录提供延迟的情况将会被认为产品是假劣药品,包括但不仅限于:●在检查期间,FDA检查官要求在合理的时间内提供其有权查看的文件和记录,但是企业不能按时提供,且没有合理的解释。
美国FDA 分析方法验证指南

美国FDA 分析方法验证指南(中文)U.S. Department of Health and Human ServicesFood and Drug AdministrationCenter for Drug Evaluation and Research (CDER)Center for Biologics Evaluation and Research (CBER)August 2000目录一、结论………………………………………………………..…………………二、背景……………………………………………………………..……….…..三、分析方法的类型…………………………………………………………….A. 法定分析方法……………………………………………………………B. 替代分析方法……………………………………………………………C. 稳定性指示分析…………………………………………………………四、标准品……………………………………………………………………….. A.标准品的类型……………………………………………………………B.分析报告单………………………………………………………………C.标准品的界定……………………………………………………………五、IND 中的分析方法验证……………………………………………………..六、NDA、ANDA、BLA 和PLA 中分析方法的内容和格式…………………A.基本方法…………………………………………………………………B.取样………………………………………………………………………C.仪器和仪器参数…………………………………………………………. D.试剂………………………………………………………………………E.系统适应性实验…………………………………………………………. F.标准品的制备……………………………………………………………..G.操作过程…………………………………………………………………….H.操作程序……………………………………………………………………I.计算…………………………………………………………………………J.结果报告……………………………………………………………………. 1.通则……………………………………………………………………2.杂质分析规程…………………………………………………………七、NDA,ANDA,BLA 和PLA 中的分析方法验证………………………….. A.非药典分析方法…………………………………………………………1. 验证项目……………………………………………………………2. 其它验证资料……………………………………………………….(1) 讨论可能会形成的异构体并讨论异构体的控制…………………..a. 耐用性…………………………………………………….b. 强降解实验………………………………………………c.仪器输出/原始资料………………………………………i. 有机杂质……………………………………………ii. 原料药……………………………………………….iii. 制剂………………………………………………….(2) 各类检测的推荐验证项目…………………………………………..a. 鉴别………………………………………………………....b. 杂质………………………………………………………..c. 含量………………………………………………………..d. 特定实验…………………………………………………….B.药典分析方法(21CFR 211.194(a)(2))…………………………………..八. 统计分析…………………………………………………………………….A.基本原则………………………………………………………………B:对比研究…………………………………………………………………C:统计………………………………………………………………………九、再验证………………………………………………………………………十、分析方法验证资料:内容和数据处理…………………………………….A.分析方法验证资料…………………………………………………….B:样品的选择和运输…………………………………………………….C:各方职责……………………………………………………………….1.申请人……………………………………………………………….2.化学评审官………………………………………………………….3.FDA 实验室………………………………………………………….4.检查官……………………………………………………………….十一、方法学……………………………………………………………………A.高效液相色谱(HPLC)………………………………………………….1.色谱柱……………………………………………………………….2.系统适应性研究…………………………………………………….3.操作参数…………………………………………………………….B.气相色谱(GC)………………………………………………………….1.色谱柱……………………………………………………………….2.操作参数……………………………………………………………..3.系统适应性实验……………………………………………………..C:分光光度法,光谱法和相关的物理方法………………………………D:毛细管电泳(CE)…………………………………………………………E:旋光度……………………………………………………………………F:和粒径分析相关的分析方法……………………………………………G:溶出度…………………………………………………………………..H:其它仪器分析方法………………………………………………………附录A……………………………………………………………………………….. 附录B……………………………………………………………………………….. 术语表……………………………………………………………………………….一、绪论本指南旨在为申请者提供建议,以帮助其提交分析方法,方法验证资料和样品用于支持原料药和制剂的认定,剂量,质量,纯度和效力方面的文件。
美国FDA分析方法验证指南中文译稿[1]
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1II. 背景 (2)III. 分析方法的类型 (3)A. 法定分析方法 (3)B. 可选择分析方法 (3)3 C. 稳定性指示分析 (3)IV. 对照品……………………………………………………………………………4A. 对照品的类型 (4)B. 分析报告单 (4)C. 对照品的界定 (4)V. IND 中的分析方法验证 (6)VI. NDA, ANDA, BLA 和PLA 中分析方法验证的内容和格式 (6)A. 原则 (6)B. 取样 (7)C. 仪器和仪器参数 (7)D. 试剂 (7)E. 系统适应性实验 (7)F. 对照品的制备 (7)G. 样品的制备 (8)H. 分析方法 (8)L. 计算 (8)J. 结果报告 (8)VII. NDA,ANDA,BLA 和PLA 中的分析方法验证 (9)A.非法定分析方法 (9)1.验证项目 (9)2. 其它分析方法验证信息 (10)a. 耐用性 (11)b. 强降解实验 (11)c. 仪器输出/原始资料 (11)3.各类检测的建议验证项目 (13)B.法定分析方法 (15)VIII. 统计分析…………………………………………………………………………15A. 总则 (15)C. 统计 (16)IX. 再验证 (16)X. 分析方法验证技术包:内容和过程……………………………………………17A. 分析方法验证技术包 (17)B. 样品的选择和运输 (18)C. 各方责任 (19)XI. 方法………………………………………………………………………………20A. 高效液相色谱(HPLC) (20)B. 气相色谱(GC) (22)C. 分光光度法,光谱学,光谱法和相关的物理方法 (23)D. 毛细管电泳 (23)E. 旋光度 (24)F. 粒径相关的分析方法 (25)G. 溶出度 (26)H. 其它仪器分析方法 (27)附件A:NDA,ANDA,BLA 和PLA 申请的内容 (28)附件B:分析方法验证的问题和延误 (29)参考文献……………………………………………………………………………………30术语表………………………………………………………………………………………32This guidance provides recommendations to applicants on submitting analytical procedures, validation data, and samples to support the documentation of the identity, strength, quality, purity, and potency of drug substances and drug products.1. 绪论本指南旨在为申请者提供建议,以帮助其提交分析方法,方法验证资料和样品用于支持原料药和制剂的认定,剂量,质量,纯度和效力方面的文件。
201507FDA行业指南:分析方法验证(中英文)(上)

201507FDA行业指南:分析方法验证(中英文)(上)Analytical Procedures and Methods Validation for Drugs and Biologics药品和生物制品分析方法验证Guidance for Industry行业指南U.S. Department of Health and Human ServicesFood and Drug AdministrationCenter for Drug Evaluation and Research (CDER)Center for Biologics Evaluation and Research (CBER)July 2015Pharmaceutical Quality/CMCAnalytical Procedures and Methods Validation for Drugs and BiologicsGuidance for IndustryAdditional copies are available from:Office of Communications, Division of Drug InformationCenter for Drug Evaluation and ResearchFood and Drug Administration10001 New Hampshire Ave., Hillandale Bldg., 4th FloorSilver Spring, MD 20993Phone: 855-543-3784 or 301-796-3400; Fax: 301-431-6353 Email:****************.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidan ces/default.htmand/orOffice of Communication, Outreach and DevelopmentCenter for Biologics Evaluation and ResearchFood and Drug Administration10903 New Hampshire Ave., Bldg. 71, Room 3128Silver Spring, MD 20993Phone: 800-835-4709 or 240-402-7800Email:************.gov/BiologicsBloodVaccines/GuidanceComplianceRegulatoryInf ormation/Guidances/default.htmU.S. Department of Health and Human ServicesFood and Drug AdministrationCenter for Drug Evaluation and Research (CDER)Center for Biologics Evaluation and Research (CBER)July 2015Pharmaceutical Quality/CMCAnalytical Procedures and Methods Validation for Drugs and Biologics药物和生物制品分析方法验证Guidance for Industry[1]行业指南This guidance represents the current thinking of the Food and Drug Administration (FDA or Agency) on this topic. It does not create any rights for any person and is not binding on FDA or the public. You can use an alternative approach if it satisfies the requirements of the applicable statutes and regulations. To discuss an alternative approach, contact the FDA staff responsible for this guidance as listed on the title page.本指南代表了FDA对本专题的当前想法。
美国FDA分析方法验证指南(中)

美国FDA 分析方法验证指南目录表I.绪论 (1)I I.背景 (2)I I I. 分析方法的类型 (3)A.法定分析方法 (3)B.可选择分析方法 (3)C.稳定性指示分析 (3)I V.对照品 (4)A.对照品的类型 (4)B.分析报告单 (4)C.对照品的界定 (4)V.I N D中的分析方法验证 (6)V I. N D A,AN D A,B LA和P L A 中分析方法验证的内容和格式 (6)A.原则 (6)B.取样 (7)C.仪器和仪器参数 (7)D.试剂 (7)E.系统适应性实验 (7)F.对照品的制备 (7)G.样品的制备 (8)H.分析方法 (8)L.计算 (8)J.结果报告 (8)V I I. N D A,A N DA,BL A和P L A 中的分析方法验证 (9)A.非法定分析方法 (9)1.验证项目 (9)2.其它分析方法验证信息 (10)a.耐用性 (11)b.强降解实验 (11)c.仪器输出/原始资料 (11)3.各类检测的建议验证项目 (13)B.法定分析方法 (15)VIII. 统计分析 (15)A.总则 (15)B.比较研究 (16)C.统计 (16)I X.再验证 (16)X.分析方法验证技术包:内容和过程 (17)A.分析方法验证技术包 (17)B.样品的选择和运输 (18)C.各方责任 (19)X I.方法 (20)A.高效液相色谱(H P L C) (20)B.气相色谱(G C) (22)C.分光光度法,光谱学,光谱法和相关的物理方法 (23)D.毛细管电泳 (23)E.旋光度 (24)F.粒径相关的分析方法 (25)G.溶出度 (26)H.其它仪器分析方法 (27)附件 A:NDA,ANDA,BLA和PLA 申请的内容 (28)附件 B:分析方法验证的问题和延误 (29)参考文献 (30)术语表 (32)I. 绪论本指南旨在为申请者提供建议,以帮助其提交分析方法,方法验证资料和样品用于支持原料药和制剂的认定,剂量,质量,纯度和效力方面的文件。
美国FDA分析方法验证指南
美国FDA 分析方法验证指南(中文)U.S. Department of Health and Human ServicesFood and Drug AdministrationCenter for Drug Evaluation and Research (CDER)Center for Biologics Evaluation and Research (CBER)August 2000目录一、结论………………………………………………………..…………………二、背景……………………………………………………………..……….…..三、分析方法的类型…………………………………………………………….A. 法定分析方法……………………………………………………………B. 替代分析方法……………………………………………………………C. 稳定性指示分析…………………………………………………………四、标准品……………………………………………………………………….. A.标准品的类型……………………………………………………………B.分析报告单………………………………………………………………C.标准品的界定……………………………………………………………五、IND 中的分析方法验证……………………………………………………..六、NDA、ANDA、BLA 和PLA 中分析方法的内容和格式…………………A.基本方法…………………………………………………………………B.取样………………………………………………………………………C.仪器和仪器参数…………………………………………………………. D.试剂………………………………………………………………………E.系统适应性实验…………………………………………………………. F.标准品的制备……………………………………………………………..G.操作过程…………………………………………………………………….H.操作程序……………………………………………………………………I.计算…………………………………………………………………………J.结果报告……………………………………………………………………. 1.通则……………………………………………………………………2.杂质分析规程…………………………………………………………七、NDA,ANDA,BLA 和PLA 中的分析方法验证………………………….. A.非药典分析方法…………………………………………………………1. 验证项目……………………………………………………………2. 其它验证资料……………………………………………………….(1) 讨论可能会形成的异构体并讨论异构体的控制…………………..a. 耐用性…………………………………………………….b. 强降解实验………………………………………………c.仪器输出/原始资料………………………………………i. 有机杂质……………………………………………ii. 原料药……………………………………………….iii. 制剂………………………………………………….(2) 各类检测的推荐验证项目…………………………………………..a. 鉴别………………………………………………………....b. 杂质………………………………………………………..c. 含量………………………………………………………..d. 特定实验…………………………………………………….B.药典分析方法(21CFR 211.194(a)(2))…………………………………..八. 统计分析…………………………………………………………………….A.基本原则………………………………………………………………B:对比研究…………………………………………………………………C:统计………………………………………………………………………九、再验证………………………………………………………………………十、分析方法验证资料:内容和数据处理…………………………………….A.分析方法验证资料…………………………………………………….B:样品的选择和运输…………………………………………………….C:各方职责……………………………………………………………….1.申请人……………………………………………………………….2.化学评审官………………………………………………………….3.FDA 实验室………………………………………………………….4.检查官……………………………………………………………….十一、方法学……………………………………………………………………A.高效液相色谱(HPLC)………………………………………………….1.色谱柱……………………………………………………………….2.系统适应性研究…………………………………………………….3.操作参数…………………………………………………………….B.气相色谱(GC)………………………………………………………….1.色谱柱……………………………………………………………….2.操作参数……………………………………………………………..3.系统适应性实验……………………………………………………..C:分光光度法,光谱法和相关的物理方法………………………………D:毛细管电泳(CE)…………………………………………………………E:旋光度……………………………………………………………………F:和粒径分析相关的分析方法……………………………………………G:溶出度…………………………………………………………………..H:其它仪器分析方法………………………………………………………附录A……………………………………………………………………………….. 附录B……………………………………………………………………………….. 术语表……………………………………………………………………………….一、绪论本指南旨在为申请者提供建议,以帮助其提交分析方法,方法验证资料和样品用于支持原料药和制剂的认定,剂量,质量,纯度和效力方面的文件。
美国FDA分析方法验证指南中英文对照--6
美国FDA分析⽅法验证指南中英⽂对照--6XI. METHODOLOGYSections II through IX provide general information on the submission of analytical procedures and methods validation information, including validation characteristics. Additional information on certain methodologies is provided below.XI.⽅法学II章到第IX章提供了分析⽅法和分析⽅法验证资料⽅⾯的基本信息,包括验证项⽬。
下⽂就⼀些具体的⽅法给出了说明:A. High-Pressure Liquid Chromatography (HPLC)The widespread use of HPLC analytical procedures and the multitude of commercial sources of columns and packings frequently have created problems in assessing comparability. Many of the following points may also apply to other chromatographic analytical procedures.⾊谱(HPLC)⾼效液相⾊谱A.⾼效液相HPLC分析⽅法的⼴泛应⽤及⾊谱柱和柱填充的众多来源都经常会给可⽐性评估带来很多问题。
如下这些要点中,很多都适⽤于其它⾊谱分析⽅法。
1. ColumnThe following characteristics are useful for defining a particular column and, if known, should be included in the analytical procedure description. If method development has indicated that columns from only one commercial source are suitable, this information should be included as part of the analytical procedure. If more than one column is suitable, a listing of columns found to be equivalent should be included.1.⾊谱柱在定义某⼀⾊谱柱时,如下这些性质是很有⽤的,也应当要包括在分析⽅法描述中。
FDA分析方法验证指南(中英文对照版)
II. BACKGROUND
Each NDA and ANDA must include the analytical procedures necessary to ensure the identity, strength, quality, purity, and potency of the drug substance and drug product, including bioavailability of the drug product (21 CFR 314.50(d)(1) and 314.94(a)(9)(i)).
审评化学家会对NDA或ANDA中的分析方法和验证资料进行评审。
On request from FDA, an NDA or ANDA applicant must submit samples of drug product, drug substance, noncompendial reference standards, and blanks so that the applicant's drug substance and drug product analytical procedures can be evaluated by FDA laboratories (21 CFR 314.50(e) and 314.94(a)(10)).
FDA实验室的分析会论证该分析方法在实验室内是可以重现的。审评化学家和实验室分析家会从法规的角度确定该分析方法的适用性。
FDA investigators inspect the analytical laboratory testing sites to ensure that the analytical procedures used for release and stability testing comply with current good manufacturing practices (CGMPs) (21 CFR part 211) or good laboratory practices (GLPs) (21 CFR part 58), as appropriate.
201507fda行业指南:分析方法验证(中英文)(下)
201507 FDA行业指南:分析方法验证(中英文)(下)VII. STATISTICAL ANALYSIS AND MODELS 统计学分析和模型A. Statistics 统计学Statistical analysis of validation data can be used to evaluate validation characteristics against predetermined acceptance criteria. All statistical procedures and parameters used in the analysis of the data should be based on sound principles and appropriate for the intended evaluation. Several statistical methods are useful for assessing validation characteristics, for example, an analysis of variance (ANOVA) to assess regression analysis R (correlation coefficient) and R squared (coefficient of determination) or linear regression to measure linearity. Many statistical methods used for assessing validation characteristics rely on population normality, and it is important to determine whether or not to reject this assumption. There are many techniques, such as histograms, normality tests, and probability plots that can be used to evaluate the observed distribution. It may be appropriate to transform the data to better fit the normal distribution or apply distribution-free (nonparametric) approaches when the observed data are not normally distributed. Appropriateliterature or text should be consulted for information on statistical procedures to use when developing new test methods, evaluating existing test methods or evaluating measurement system performance, as well as other general information on the interpretation and treatment of analytical data[18].The data analysis should be assured either by using appropriately validated software or independent verification for correctness.验证数据的统计学分析可以用于评估验证的属性是否符合预定的可接受标准。
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201507FDA行业指南:分析方法验证(中英文)(上)Analytical Procedures and Methods Validation for Drugs and Biologics药品和生物制品分析方法验证Guidance for Industry行业指南U.S. Department of Health and Human ServicesFood and Drug AdministrationCenter for Drug Evaluation and Research (CDER)Center for Biologics Evaluation and Research (CBER)July 2015Pharmaceutical Quality/CMCAnalytical Procedures and Methods Validation for Drugs and BiologicsGuidance for IndustryAdditional copies are available from:Office of Communications, Division of Drug InformationCenter for Drug Evaluation and ResearchFood and Drug Administration10001 New Hampshire Ave., Hillandale Bldg., 4th FloorSilver Spring, MD 20993Phone: 855-543-3784 or 301-796-3400; Fax: 301-431-6353 Email:****************.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidan ces/default.htmand/orOffice of Communication, Outreach and DevelopmentCenter for Biologics Evaluation and ResearchFood and Drug Administration10903 New Hampshire Ave., Bldg. 71, Room 3128Silver Spring, MD 20993Phone: 800-835-4709 or 240-402-7800Email:************.gov/BiologicsBloodVaccines/GuidanceComplianceRegulatoryInf ormation/Guidances/default.htmU.S. Department of Health and Human ServicesFood and Drug AdministrationCenter for Drug Evaluation and Research (CDER)Center for Biologics Evaluation and Research (CBER)July 2015Pharmaceutical Quality/CMCAnalytical Procedures and Methods Validation for Drugs and Biologics药物和生物制品分析方法验证Guidance for Industry[1]行业指南This guidance represents the current thinking of the Food and Drug Administration (FDA or Agency) on this topic. It does not create any rights for any person and is not binding on FDA or the public. You can use an alternative approach if it satisfies the requirements of the applicable statutes and regulations. To discuss an alternative approach, contact the FDA staff responsible for this guidance as listed on the title page.本指南代表了FDA对本专题的当前想法。
它并不赋予任何人以任何权利,也并不对FDA或公众形成强制效力。
如果有方法可以满足适用的法规要求,你可使用该方法来替代。
要讨论替代性方法,请联系列于封面的负责本指南的FDA职员。
I. INTRODUCTION 概述This guidance supersedes the draft of the same name that published on February 19, 2014 (79 FR 16 9467) and replaces the 2000 draft guidance for industry on Analytical Procedures and Methods Validation[2][3]and the 1987 Guidelines for Submitting Samples and Analytical Data for Methods Validation. It provides recommendations on how you, the applicant, can submit analytical procedures[4]and methods validation[5]data to support the documentation of the identity, strength, quality, purity, and potency of drug substances and drug products[6].It will help you assemble information and present data to support your analytical methodologies. The recommendations apply to drug substances and drug products covered in new drug applications (NDAs), abbreviated new drug applications (ANDAs), biologics license applications (BLAs), and supplements to these applications. The principles in this guidance also apply to drug substances and drug products covered in Type II drug master files (DMFs).本指南取代2014年2月19日公布的同名草案(79FR169467),替代2000年的行业指南“分析方法验证”和1987年的“提交方法验证的样品和分析数据指南”。
它指导你、申报人如何提交分析方法验证数据来支持原料药和制剂鉴别、剂量、质量、纯度和效价文件。
它会帮助你组织资料,呈现数据来支持你的分析方法学。
建议适用于新药申报(NDA)、简略新药申报(ANDA)、生物药品许可申报(BLA)以及对这些申报的补充资料中的原料药和制剂。
本指南中的原则也适用于二类药物主文件(DMF)所包括的原料药和制剂。
This guidance complements the International Conference on Harmonisation (ICH) guidance Q2(R1) Validation of Analytical Procedures: Text and Methodology (Q2(R1)) for developing and validating analytical methods.本指南补充ICH的指南Q2(R1)分析方法验证:正文和方法学(Q2(R1)),该指南用于分析方法的研发和验证。
This guidance does not address investigational new drug application (IND) methods validation, but sponsors preparing INDs should consider the recommendations in this guidance. For INDs, sufficient information is required at each phase of an investigation to ensure proper identity, quality, purity, strength, and/or potency. The amount of information on analytical procedures and methods suitability will vary with the phase of the investigation[7].For general guidance on analytical procedures and methods validation information to be submitted for phase one studies, sponsors should refer to the FDA guidance for industry on Content and Format of Investigational New Drug Applications (INDs) for Phase 1 Studies of Drugs, Including Well-Characterized, Therapeutic, Biotechnology-Derived Products. General considerations for analytical procedures and methods validation before conduct of phase two and three studies are discussed in the FDA guidances for industry on INDs for Phase 2 and 3 Studies of Drugs, Including Specified Therapeutic Biotechnology-Derived Products (February 1999) and IND Meetings for Human Drugs and Biologics, Chemistry, Manufacturing, and Controls Information.本指南并不讨论IND申报中的方法验证,但申请人在准备IND时应考虑本指南中的建议。