guideline on stability testing-emea

guideline on stability testing-emea
guideline on stability testing-emea

The European Agency for the Evaluation of Medicinal Products

Evaluation of Medicines for Human Use

Public

7 Westferry Circus, Canary Wharf, London, E14 4HB, UK

Tel. (44-20) 74 18 84 00 Fax (44-20) 74 18 85 95

London, 17 December 2003

CPMP/QWP/122/02, rev 1

COMMITTEE FOR PROPRIETARY MEDICINAL PRODUCTS

(CPMP)

GUIDELINE ON STABILITY TESTING:

STABILITY TESTING OF EXISTING ACTIVE SUBSTANCES

AND RELATED FINISHED PRODUCTS

DISCUSSION IN THE QUALITY WORKING PARTY (QWP) October 2003 TRANSMISSION TO THE CPMP

December 2003 ADOPTION OF THE REVISION BY THE CPMP

December 2003 DATE FOR COMING INTO OPERATION March 2004

Note:

This guideline supersedes it’s earlier version CPMP/QWP/122/02 corr. and CPMP/QWP/122/02, which came into operation in June 2003. CPMP/QWP/122/02 has replaced CPMP/QWP/556/96.

Revision History

Revision in December 2003:

The guideline CPMP/QWP/122/02, corr. was revised to be brought in line with the requirements of the Note for Guidance on Evaluation of Stability Data (CPMP/ICH/420/02) and the Note for Guidance on Stability Testing of New Drug Substances and Products (CPMP/ICH/2736/99 corr). These changes are:

1. The possibilities to extend the retest period/shelf-life beyond the period of time

covered by real-time data by extrapolation are described in more in Annex II with

reference to the respective note for guidance

2. 30° C ± 2° C/35 % RH ± 5% RH has been added as a suitable alternative long-term

storage condition to 25° C ±2° C/40 % RH ± 5% RH in section 2.2.7.3 Finished

products packaged in semi-permeable containers.

3. The statement on implementation of the change in intermediate storage conditions in

the Introductory Note to the Revision of December 2002 has been clarified.

Correction in January 2003

The guideline CPMP/QWP/122/02 was corrected in the paragraph 2.1.7 to give consistent guidance on the duration of long-term stability testing.

Revision in December 2002:

The guideline CPMP/QWP/556/96 was given a new number CPMP/QWP/122/02 and revised to be brought in line with the requirements of the Note for Guidance on Stability Data Package for Registration in Climatic Zones III and IV (CPMP/ICH/421/02), the Note for Guidance on Stability Testing of New Drug Substances and Products (CPMP/ICH/2736/99 corr) and the Common Technical Document (CPMP/ICH/ 2287/99).

As a consequence, the relative humidity at storage under intermediate conditions, i.e. presently 30 °C ± 2 °C/60 % RH ± 5% RH, will be changed to 30 °C ± 2 °C/65 % RH ±5% RH. The implementation time of this change will be defined in line with the implementation time for the Note for Guidance on Stability testing of New Drug Substances

and Products (CPMP/ICH/2736/99 corr).

Within the EU, data from studies generated using the new conditions are accepted immediately. Furthermore, data from studies where the relative humidity has been changed from 60 % RH to 65 % RH during the study to meet the new requirements will also be accepted under the condition that the respective storage conditions and the date of the change are clearly documented and stated in the application file.

It is recommended that all marketing authorisation applications contain data from complete studies at the intermediate storage condition 30 °C ± 2 °C/65 % RH ± 5% RH, if applicable, by February 2006.

STABILITY TESTING OF EXISTING ACTIVE SUBSTANCES

AND RELATED FINISHED PRODUCTS

1. INTRODUCTION

1.1 Objectives of the Guideline

The following guideline is an extension of the Note for Guidance on Stability testing of New Drug Substances and Products (CPMP/ICH/2736/99 corr) and sets out the stability testing requirements for existing active substances and related finished products. For the purposes of this guideline, an existing active substance is one that has been authorised previously through a finished product within the European Community1

This guideline is applicable to chemical active substances and related finished products, herbal drugs, herbal drug preparations and related herbal medicinal products and not to radiopharmaceuticals, biologicals and products derived by biotechnology.

The guideline seeks to exemplify the core stability data package required for such active substances and finished products, but leaves sufficient flexibility to encompass the variety of different practical situations that may be encountered due to specific scientific considerations and characteristics of the materials being evaluated. Alternative approaches can be used when there are scientifically justifiable reasons.

1.2 Scope of the Guideline

The guideline addresses the information to be submitted in registration applications for existing active substances and related finished products.

For herbal drugs, herbal drug preparations and herbal medicinal products, reference is made to the stability section of the Note for Guidance on Quality of Herbal Medicinal Products (EMEA/CPMP/2819/00).

1.3 General Principles

The purpose of stability testing is to provide evidence on how the quality of an active substance or finished product varies with time under the influence of a variety of environmental factors such as temperature, humidity, and light, and to establish a re-test period for the active substance or a shelf life for the finished product and recommended storage conditions.

The choice of test conditions defined in this guideline refers to the Note for Guidance on Stability testing of New Drug Substances and Products (CPMP/ICH/2736/99 corr).

1This approach is consistent with the definition of new active substance provided for under Part B of the Annex to Council Regulation 2309/93 as follows: substance not authorised by any Member State on 1.1.95

2. GUIDELINES

2.1 Active substance

2.1.1 General

Information on the stability of the active substance is an integral part of the systematic approach to stability evaluation.

For active substances not described in an official pharmacopoeial monograph (European Pharmacopoeia or the Pharmacopoeia of a European Union Member State) stability studies are required.

For active substances described in an official pharmacopoeial monograph (European Pharmacopoeia or the Pharmacopoeia of a European Union Member State), which covers the degradation products and for which suitable limits have been set but a re-test period is not defined, two options are acceptable:

a) The applicant should specify that the active substance complies with the

pharmacopoeial monograph immediately prior to manufacture of the finished product.

In this case no stability studies are required on condition that the suitability of the pharmacopoeial monograph has been demonstrated for the particular named source (refer to the Note for Guidance on Summary of Requirements for Active Substances in Part II of the Dossier (CPMP/QWP/297/97));

b) The applicant should fix a re-test period based on the results of long term testing

stability studies.

In the case of herbal medicinal products, active substances include herbal drugs and herbal drug preparations. Herbal drugs which are used as starting material in the manufacturing process for a herbal drug preparation shall comply with specification before use (e.g. before extraction).

2.1.2 Stress Testing

Stress testing of the active substance can help identify the likely degradation products, which can in turn help establish the degradation pathways and the intrinsic stability of the molecule and validate the stability indicating power of the analytical procedures used.

Stress tests are usually considered unnecessary for herbal drugs and herbal drug preparations. For an active substance the following approaches may be used:

a) When an active substance is described in an official pharmacopoeial monograph

(European Pharmacopoeia or the Pharmacopoeia of a European Union Member State) and fully meets its requirements no data are required on the degradation products if they are named under the headings “purity test” and / or “section on impurities”.

substances

not described in an official pharmacopoeial monograph, there active

b) For

are two options:

- When available, it is acceptable to provide the relevant data published in the literature to support the proposed degradation pathways;

- When no data are available in the scientific literature, including official pharmacopoeias, stress testing should be performed. Results from these studies

will form an integral part of the information provided to regulatory authorities. Stress testing is likely to be carried out on a single batch of the active substance. It should include the effect of temperatures (in 10° C increments (e.g., 50° C, 60° C, etc.) above that for accelerated testing), humidity (e.g., 75 % RH or greater) where appropriate, oxidation, and photolysis on the active substance. The testing should also evaluate the susceptibility of the active substance to hydrolysis across a wide range of pH values when in solution or suspension. Photostability testing should be an integral part of stress testing. The standard conditions for photostability testing are described in the Note for Guidance on Photostability Testing of New Active Substances and Medicinal Products (CPMP/ICH/279/95) . Examining degradation products under stress conditions is useful in establishing degradation pathways and developing and validating suitable analytical procedures. However, it may not be necessary to examine specifically for certain degradation products if it has been demonstrated that they are not formed under accelerated or long term conditions.

2.1.3 Selection of Batches

Two options are acceptable:

a) Stability information from accelerated and long term testing is to be provided on at least

two production scale batches manufactured by the same manufacturing (synthetic) route and procedure described in part 3.2.S.2 of the application. The long term testing and accelerated testing should cover a minimum of 6 months duration at the time of submission

or

b) Stability information from accelerated and long term testing is to be provided on at least

three pilot scale batches manufactured by the same manufacturing (synthetic) route and procedure described in part 3.2.S.2 of the application. The long term testing and accelerated testing should cover a minimum of 6 months duration at the time of submission.

2.1.4 Container Closure System

The stability studies should be conducted on the active substance packaged in a container closure system that is the same as or simulates the packaging proposed for storage and distribution.

2.1.5 Specification

Stability studies should include testing of those attributes of the active substance that are susceptible to change during storage and are likely to influence quality, safety and/or efficacy. The testing should cover, as appropriate, the physical, chemical, biological, and microbiological attributes. Validated stability-indicating analytical procedures should be applied.

Acceptance criteria are numerical limits, ranges and other criteria for the specific tests described and should include individual and total upper limits for impurities and degradation products. The justification of individual and total upper limits for degradation products should be based on safety and/or efficacy considerations. For active substances described in an official pharmacopoeial monograph (European Pharmacopoeia or the Pharmacopoeia of a European Union Member State) the testing should be performed in accordance with the

monograph or by using a test that has been cross-validated against the compendial test and the justification should be given that all potential impurities (process impurities and degradation products) from the actual manufacturing (synthetic) route are adequately controlled. Specifications for herbal drugs and herbal drug preparations should refer to the Note for Guidance Specifications: Test Procedures and Acceptance Criteria for Herbal Drugs, Herbal Drug Preparations and Herbal Medicinal Products (CPMP/QWP/2820/00).

2.1.6 Testing Frequency

For long-term studies, frequency of testing should be sufficient to establish the stability profile of the active substance. The frequency of testing at the long term storage condition should normally be every 3 months over the first year, every 6 months over the second year, and annually thereafter through the proposed re-test period.

At the accelerated storage condition, a minimum of three points, including the initial and final time points (e.g., 0, 3, and 6 months), from a 6-month study is recommended. Where an expectation (based on development experience) exists that results from accelerated studies are likely to approach significant change criteria, increased testing should be conducted either by adding samples at the final time point or by including a fourth time point in the study design. When testing at the intermediate storage condition is called for as a result of significant change at the accelerated storage condition, a minimum of four time points, including the initial and final time points (e.g., 0, 6, 9, 12 months), from a 12-month study is recommended. For herbal drugs and herbal drug preparations on which the applicant in the possession of historical batch data, the testing frequency may be reduced if justified by the applicant.

2.1.7 Storage Conditions

In general, an active substance should be evaluated under storage conditions (with appropriate tolerances) that test its thermal stability and, if applicable, its sensitivity to moisture. The storage conditions and the lengths of studies chosen should be sufficient to cover storage, shipment, and subsequent use.

The long term testing for both options a and b should cover a minimum of 6 months’ duration at the time of submission and should be continued for a period of time sufficient to cover the proposed re-test period. Additional data accumulated during the assessment period of the registration application should be submitted to the authorities if requested. Data from the accelerated storage condition and, if appropriate, from the intermediate storage condition can be used to evaluate the effect of short-term excursions outside the label storage conditions (such as might occur during shipping).

Long term, accelerated, and, where appropriate, intermediate storage conditions for active substances are detailed in the sections below. The general case applies if a subsequent section does not specifically cover the active substance. Alternative storage conditions can be used if justified.

2.1.7.1 General case

Study Storage condition Minimum time period covered by

data at submission

6 months (option a and b)

Long term* 25°C ± 2°C/60% RH ± 5% RH or

30°C ± 2°C/65% RH ± 5% RH

Intermediate** 30°C ± 2°C/65% RH ± 5% RH 6 months

Accelerated** 40°C ± 2°C/75% RH ± 5% RH 6 months

* It is up to the applicant to decide whether long term stability studies are performed at 25°C ± 2° C/60 % RH ± 5 % RH or 30° C ± 2°C/65% RH ± 5% RH. In the latter case, no additional data under intermediate conditions will have to be generated.

** For herbal drugs and herbal drug preparations, testing at the accelerated storage condition or at the intermediate storage condition may be omitted if justified by the applicant and if the storage conditions below 25° C are clearly labelled on the product. When “significant change” occurs at any time during 6 months’ testing at the accelerated storage condition, additional testing at the intermediate storage condition should be conducted and evaluated against significant change criteria. Testing at the intermediate storage condition should include all tests, unless otherwise justified. The initial application should include a minimum of 6 months’ data from a 12-months study at the intermediate storage condition.

“Significant change” for an active substance is defined as failure to meet its specification.

2.1.7.2 Active substances intended for storage in a refrigerator

Study Storage condition Minimum time period covered by

data at submission

Long term 5° C ± 3° C 6 months (option a and b) Accelerated 25° C ± 2° C/60% RH ± 5% RH 6 months

Data from refrigerated storage should be assessed according to the evaluation section of this guideline, except where explicitly noted below.

If significant change occurs between 3 and 6 months’ testing at the accelerated storage condition, the proposed re-test period should be based on the real time data available at the long term storage condition.

If significant change occurs within the first 3 months’ testing at the accelerated storage condition, a discussion should be provided to address the effect of short term excursions outside the label storage condition, e.g., during shipping or handling. This discussion can be supported, if appropriate, by further testing on a single batch of the active substance for a period shorter than 3 months but with more frequent testing than usual. It is considered unnecessary to continue to test an active substance through 6 months when a significant change has occurred within the first 3 months.

2.1.7.3 Active substances intended for storage in a freezer

Study Storage condition Minimum time period covered by

data at submission

Long term -20° C ± 5° C 6 months (option a and b)

For active substances intended for storage in a freezer, the re-test period should be based on the real time data obtained at the long-term storage condition. In the absence of an accelerated storage condition for active substances intended to be stored in a freezer, testing on a single batch at an elevated temperature (e.g., 5° C ± 3° C or 25° C ± 2° C) for an appropriate time period should be conducted. Such a study will address the effect of short term excursions outside the proposed label storage condition, e.g., during shipping or handling.

2.1.7.4 Active substances intended for storage below –20° C

Active substances intended for storage below –20° C should be treated on a case-by-case basis.

2.1.8 Stability Commitment

When available long term stability data on primary batches do not cover the proposed re-test period granted at the time of approval, a commitment should be made to continue the stability studies post approval in order to firmly establish the re-test period.

Where the submission includes long-term stability data on three production batches covering the proposed re-test period, a post approval commitment is considered unnecessary. Otherwise, one of the following commitments should be made:

1. If the submission includes data from stability studies on at least three production

batches, a commitment should be made to continue these studies through the proposed re-test period.

2. If the submission includes data from stability studies on fewer than three production

batches, a commitment should be made to continue these studies through the proposed re-test period and to place additional production batches, to a total of at least three, on long term stability studies through the proposed re-test period.

3. If the submission does not include stability data on production batches, a commitment

should be made to place the first three production batches on long term stability studies through the proposed re-test period.

The stability protocol used for long-term studies for the stability commitment should be the same as that for the primary batches, unless otherwise scientifically justified.

2.1.9 Evaluation

The purpose of the stability study is to establish, based on testing a minimum of two or three batches of the active substance and evaluating the stability information (including, as appropriate, results of the physical, chemical, biological, and microbiological tests), a re-test period applicable to all future batches of the active substance manufactured under similar circumstances. The degree of variability of individual batches affects the confidence that a

future production batch will remain within specification throughout the assigned re-test period.

The data may show so little degradation and so little variability that it is apparent from looking at the data that the requested re-test period will be granted. Under these circumstances, it is normally unnecessary to go through the formal statistical analysis; providing a justification for the omission should be sufficient.

An approach for analysing the data on a quantitative attribute that is expected to change with time is to determine the time at which the 95% one-sided confidence limit for the mean curve intersects the acceptance criterion. If analysis shows that the batch-to-batch variability is small, it is advantageous to combine the data into one overall estimate. This can be done by first applying appropriate statistical tests (e.g., p values for level of significance of rejection of more than 0.25) to the slopes of the regression lines and zero time intercepts for the individual batches. If it is inappropriate to combine data from several batches, the overall re-test period should be based on the minimum time a batch can be expected to remain within acceptance criteria.

The nature of any degradation relationship will determine whether the data should be transformed for linear regression analysis. Usually the relationship can be represented by a linear, quadratic, or cubic function on an arithmetic or logarithmic scale. Statistical methods should be employed to test the goodness of fit of the data on all batches and combined batches (where appropriate) to the assumed degradation line or curve.

Limited extrapolation of the real time data from the long-term storage condition beyond the observed range to extend the re-test period can be undertaken at approval time (see annex II), if justified. This justification should be based on what is known about the mechanism of degradation, the results of testing under accelerated conditions, the goodness of fit of any mathematical model, batch size, existence of supporting stability data, etc. However, this extrapolation assumes that the same degradation relationship will continue to apply beyond the observed data.

Any evaluation should cover not only the assay, but also the levels of degradation products and other appropriate attributes.

2.1.10 Statements/Labelling

The storage conditions (temperature, light, humidity) indicated should refer to the Guideline on Declaration of Storage Conditions for Medicinal Products in the Product Particulars and Active Substances (CPMP/QWP/609/96).

The use of terms such as “ambient conditions” or “room temperature” is unacceptable.

2.2 Finished product

2.2.1 General

The design of the formal stability studies for the finished product should be based on knowledge of the behaviour and properties of the active substance and the dosage form.

2.2.2 Photostability Testing

Photostability testing should be conducted on at least one primary batch of the finished product if appropriate. The standard conditions for photostability testing are described in the Note for Guidance on Photostability Testing of New Active Substances and Medicinal Products (CPMP/ICH/279/95).

2.2.3 Selection of Batches

At the time of submission data from stability studies should be provided for batches of the same formulation and dosage form in the container closure system proposed for marketing. Two options are acceptable:

a) For conventional dosage forms (e.g. immediate release solid dosage forms, solutions)

and when the active substances are known to be stable, stability data on at least two pilot scale batches are acceptable.

b) For critical dosage forms or when the active substances are known to be unstable,

stability data on three primary batches are to be provided. Two of the three batches should be of at least pilot scale, the third batch may be smaller.

The manufacturing process used for primary batches should simulate that to be applied to production batches and should provide product of the same quality and meeting the same specification as that intended for marketing. Where possible, batches of the finished product should be manufactured by using different batches of the active substance.

Stability studies should be performed on each individual strength and container size of the finished product unless bracketing or matrixing is applied.

Other supporting data can be provided.

2.2.4 Container Closure System

Stability testing should be conducted on the dosage form packaged in the container closure system proposed for marketing (including, as appropriate, any secondary packaging and container label). Any available studies carried out on the product outside its immediate container or in other packaging materials can form a useful part of the stress testing of the dosage form or can be considered as supporting information, respectively.

2.2.5 Specification

Stability studies should include testing of those attributes of the finished product that are susceptible to change during storage and are likely to influence quality, safety and/or efficacy. The testing should cover, as appropriate, the physical, chemical, biological, and microbiological attributes, preservative content (e.g. antioxidant, antimicrobial preservative), and functionality tests (e.g., for a dose delivery system). Analytical procedures should be fully validated and stability indicating. Whether and to what extent replication should be performed will depend on the results of validation studies.

Shelf life acceptance criteria should be derived from consideration of all available stability information. It may be appropriate to have justifiable differences between the shelf life and release acceptance criteria based on the stability evaluation and the changes observed on storage. Any differences between the release and shelf life acceptance criteria for antimicrobial preservative content should be supported by a validated correlation of chemical content and preservative effectiveness demonstrated during drug development on the product in its final formulation (except for preservative concentration) intended for marketing. A single primary stability batch of the finished product should be tested for antimicrobial preservative effectiveness (in addition to preservative content) at the proposed shelf life for

verification purposes, regardless of whether there is a difference between the release and shelf life acceptance criteria for preservative content.

2.2.6 Testing Frequency

For long-term studies, frequency of testing should be sufficient to establish the stability profile of the finished product. The frequency of testing at the long term storage condition should normally be every 3 months over the first year, every 6 months over the second year, and annually thereafter through the proposed shelf life.

At the accelerated storage condition, a minimum of three points, including the initial and final time points (e.g., 0, 3, and 6 months), from a 6-month study is recommended. Where an expectation (based on development experience) exists that results from accelerated testing are likely to approach significant change criteria, increased testing should be conducted either by adding samples at the final time point or by including a fourth time point in the study design. When testing at the intermediate storage condition is called for as a result of significant change at the accelerated storage condition, a minimum of four time points, including the initial and final time points (e.g., 0, 6, 9, 12 months), from a 12-month study is recommended. For herbal medicinal products on which the applicant in the possession of historical batch data, the testing frequency may be reduced if justified by the applicant.

Reduced designs, i.e., matrixing or bracketing, where the testing frequency is reduced or certain factor combinations are not tested at all, can be applied, if justified.

2.2.7 Storage Conditions

In general, a finished product should be evaluated under storage conditions (with appropriate tolerances) that test its thermal stability and, if applicable, its sensitivity to moisture or potential for solvent loss. The storage conditions and the lengths of studies chosen should be sufficient to cover storage, shipment, and subsequent use.

Stability testing of the finished product after constitution or dilution, if applicable, should be conducted to provide information for the labelling on the preparation, storage condition, and in-use period of the constituted or diluted product. This testing should be performed on the constituted or diluted product through the proposed in-use period on primary batches as part of the formal stability studies at initial and final time points and, if full shelf life long term data will not be available before submission, at six months or the last time point for which data will be available. In general, this testing need not be repeated on commitment batches. The long term testing should cover a minimum of 6 months’ duration (option a) or 12 months’ duration (option b) at the time of submission and should be continued for a period of time sufficient to cover the proposed shelf life. Additional data accumulated during the assessment period of the registration application should be submitted to the authorities if requested. Data from the accelerated storage condition and, if appropriate, from the intermediate storage condition can be used to evaluate the effect of short-term excursions outside the label storage conditions (such as might occur during shipping).

Long term, accelerated, and, where appropriate, intermediate storage conditions for finished products are detailed in the sections below. The general case applies if a subsequent section does not specifically cover the finished product. Alternative storage conditions can be used, if justified.

2.2.7.1 General case

Study Storage condition Minimum time period covered by

data at submission

Long term* 25° C ± 2° C/60% RH ± 5% RH or

30° C ± 2° C/65% RH ± 5% RH 6 months (option a) 12 months (option b)

Intermediate 30° C ± 2° C/65% RH ± 5% RH 6 months

Accelerated 40° C ± 2° C/75% RH ± 5% RH 6 months

* It is up to the applicant to decide whether long term stability studies are performed at 25° C ± 2° C/60% RH ± 5% RH or 30° C ± 2° C/65% RH ± 5% RH. In the latter case, no additional data under intermediate conditions will have to be generated.

When a “significant change" occurs at any time during 6 months' testing at the accelerated storage condition, additional testing at the intermediate storage condition should be conducted and evaluated against significant change criteria. The initial application should include a minimum of 6 months’ data from a 12-month study at the intermediate storage condition.

In general, “significant change” for a finished product is defined as:

1. A 5% change in assay from its initial value; or failure to meet the acceptance criteria for

potency when using biological or immunological procedures;

2. Any degradation product exceeding its acceptance criterion;

3. Failure to meet the acceptance criteria for appearance, physical attributes, and

functionality test (e.g., colour, phase separation, resuspendibility, caking, hardness, dose delivery per actuation); however, some changes in physical attributes (e.g., softening of suppositories, melting of creams, partial loss of adhesion for transdermal products) may be expected under accelerated conditions;

And, as appropriate for the dosage form:

4. Failure to meet the acceptance criterion for pH; or

5. Failure to meet the acceptance criteria for dissolution for 12 dosage units.

2.2.7.2 Finished products packaged in impermeable containers

Sensitivity to moisture or potential for solvent loss is not a concern for finished products packaged in impermeable containers that provide a permanent barrier to passage of moisture or solvent. Thus, stability studies for products stored in impermeable containers can be conducted under any controlled or ambient humidity condition.

2.2.7.3 Finished products packaged in semi-permeable containers

Aqueous-based products packaged in semi-permeable containers should be evaluated for potential water loss in addition to physical, chemical, biological, and microbiological stability. This evaluation can be carried out under conditions of low relative humidity, as discussed below. Ultimately, it should be demonstrated that aqueous-based finished products stored in semi-permeable containers could withstand low relative humidity environments.

Other comparable approaches can be developed and reported for non-aqueous, solvent-based products.

Study Storage condition Minimum time period covered by

data at submission

Long term 25° C ± 2° C/40% RH ± 5% RH or

30° C ± 2° C/35% RH ± 5% RH 6 months (option a) 12 months (option b)

Intermediate 30° C ± 2° C/65% RH ± 5% RH 6 months

Accelerated 40° C ± 2° C/not more than (NMT)

25% RH

6 months

When a significant change other than water loss occurs during the 6 months’ testing at the accelerated storage condition, additional testing at the intermediate storage condition should be performed as described under the general case to evaluate the temperature effect at 30° C.

A significant change in water loss alone at the accelerated storage condition does not necessitate testing at the intermediate storage condition. However, data should be provided to demonstrate that the finished product will not have significant water loss throughout the proposed shelf life if stored at 25° C and the reference relative humidity of 40% RH.

A 5% loss in water from its initial value is considered a significant change for a product packaged in a semi-permeable container after an equivalent of 3 months’ storage at 40° C/NMT 25% RH. However, for small containers (1 ml or less) or unit-dose products, a water loss of 5% or more after an equivalent of 3 months’ storage at 40° C/NMT 25% RH may be appropriate, if justified.

An alternative approach to studying at the reference relative humidity as recommended in the table above (for either long term or accelerated testing) is performing the stability studies under higher relative humidity and deriving the water loss at the reference relative humidity through calculation. This can be achieved by experimentally determining the permeation coefficient for the container closure system or, as shown in the example below, using the calculated ratio of water loss rates between the two humidity conditions at the same temperature. The permeation coefficient for a container closure system can be experimentally determined by using the worst case scenario (e.g., the most diluted of a series of concentrations) for the proposed finished product.

Example of an approach for determining water loss:

For a product in a given container closure system, container size, and fill, an appropriate approach for deriving the water loss rate at the reference relative humidity is to multiply the water loss rate measured at an alternative relative humidity at the same temperature by a water loss rate ratio shown in the table below. A linear water loss rate at the alternative relative humidity over the storage period should be demonstrated.

For example, at a given temperature, e.g., 40° C, the calculated water loss rate during storage at NMT 25% RH is the water loss rate measured at 75% RH multiplied by 3.0, the corresponding water loss rate ratio.

Reference relative humidity General testing conditions

at the same temperature

Ratio of water loss rates at a given

temperature

25° C/25 % RH 25° C/60 % RH 1.9 = (100-25) : (100-60)

25° C/40 % RH 25° C/60 % RH 1.5 = (100-40) : (100-60)

40 °C/25 % RH 40° C/75 % RH 3.0 = (100-25) : (100-75)

Valid water loss rate ratios at relative humidity conditions other than those shown in the table above can also be used.

2.2.7.4 Finished products intended for storage in a refrigerator

Study Storage condition Minimum time period covered by

data at submission

Long term 5° C ± 3°C 6 months (option a)

12 months (option b)

Accelerated 25°C ± 2°C/60% RH ± 5% RH 6 months

If the finished product is packaged in a semi-permeable container, appropriate information should be provided to assess the extent of water loss.

Data from refrigerated storage should be assessed according to the evaluation section of this guideline, except where explicitly noted below.

If significant change occurs between 3 and 6 months’ testing at the accelerated storage condition, the proposed shelf life should be based on the real time data available from the long-term storage condition.

If significant change occurs within the first 3 months’ testing at the accelerated storage condition, a discussion should be provided to address the effect of short term excursions outside the label storage condition, e.g., during shipment and handling. This discussion can be supported, if appropriate, by further testing on a single batch of the finished product for a period shorter than 3 months but with more frequent testing than usual. It is considered unnecessary to continue to test a product through 6 months when a significant change has occurred within the first 3 months.

2.2.7.5 Finished products intended for storage in a freezer

Study Storage condition Minimum time period covered by

data at submission

Long term -20°C ± 5°C 6 months (option a)

12 months (option b)

For finished products intended for storage in a freezer, the shelf life should be based on the real time data obtained at the long-term storage condition. In the absence of an accelerated storage condition for finished products intended to be stored in a freezer, testing on a single batch at an elevated temperature (e.g., 5°C ± 3°C or 25°C ± 2°C) for an appropriate time

period should be conducted to address the effect of short term excursions outside the proposed label storage condition.

2.2.7.6 Finished products intended for storage below -20°C

Finished products intended for storage below –20°C should be treated on a case-by-case basis.

2.2.8 Stability Commitment

When available long-term stability data on primary batches do not cover the proposed shelf life granted at the time of approval, a commitment should be made to continue the stability studies post approval in order to firmly establish the shelf life.

Where the submission includes long-term stability data on three production batches covering the proposed shelf life, a post approval commitment is considered unnecessary. Otherwise, one of the following commitments should be made:

1. If the submission includes data from stability studies on at least three production

batches, a commitment should be made to continue the long-term studies through the proposed shelf life.

2. If the submission includes data from stability studies on fewer than three production

batches, a commitment should be made to continue the long term studies through the proposed shelf life, and to place additional production batches, to a total of at least three, on long term stability studies through the proposed shelf life and on accelerated studies for 6 months.

3. If the submission does not include stability data on production batches, a commitment

should be made to place the first three production batches on long term stability studies through the proposed shelf life and on accelerated studies for 6 months.

The stability protocol used for studies on commitment batches should be the same as that for the primary batches, unless otherwise scientifically justified.

Where intermediate testing is called for by a significant change at the accelerated storage condition for the primary batches, testing on the commitment batches can be conducted at either the intermediate or the accelerated storage condition. However, if significant change occurs at the accelerated storage condition on the commitment batches, testing at the intermediate storage condition should also be conducted.

2.2.9 Evaluation

A systematic approach should be adopted in the presentation and evaluation of the stability information, which should include, as appropriate, results from the physical, chemical, biological and microbiological tests, including particular attributes of the dosage form (for example, dissolution rate for solid oral dosage forms).

The purpose of the stability study is to establish, based on testing a minimum of two or three batches of the finished product, a shelf life and label storage instructions applicable to all future batches of the finished product manufactured and packaged under similar circumstances. The degree of variability of individual batches affects the confidence that a future production batch will remain within specification throughout its shelf life.

Where the data show so little degradation and so little variability that it is apparent from looking at the data that the requested shelf life will be granted, it is normally unnecessary to

go through the formal statistical analysis; providing a justification for the omission should be sufficient.

An approach for analysing data on a quantitative attribute that is expected to change with time is to determine the time at which the 95 one-sided confidence limit for the mean curve intersects the acceptance criterion. If analysis shows that the batch-to-batch variability is small, it is advantageous to combine the data into one overall estimate. This can be done by first applying appropriate statistical tests (e.g., p values for level of significance of rejection of more than 0.25) to the slopes of the regression lines and zero time intercepts for the individual batches. If it is inappropriate to combine data from several batches, the overall shelf life should be based on the minimum time a batch can be expected to remain within acceptance criteria.

The nature of any degradation relationship will determine whether the data should be transformed for linear regression analysis. Usually the relationship can be represented by a linear, quadratic, or cubic function on an arithmetic or logarithmic scale. Statistical methods should be employed to test the goodness of fit of the data on all batches and combined batches (where appropriate) to the assumed degradation line or curve.

Limited extrapolation of the real time data from the long-term storage condition beyond the observed range to extend the shelf life can be undertaken at approval time (see annex II), if justified. This justification should be based on what is known about the mechanisms of degradation, the results of testing under accelerated conditions, the goodness of fit of any mathematical model, batch size, existence of supporting stability data, etc. However, this extrapolation assumes that the same degradation relationship will continue to apply beyond the observed data.

Any evaluation should consider not only the assay, but also the degradation products and other appropriate attributes. Where appropriate, attention should be paid to reviewing the adequacy of the mass balance and different stability and degradation performance.

2.2.10 Statements/Labelling

The storage conditions (temperature, light, humidity) indicated should refer to the Guideline on Declaration of Storage Conditions for Medicinal Products in the Product Particulars and Active Substances (CPMP/QWP/609/96).

The use of terms such as “ambient conditions” or “room temperature” is unacceptable. ANNEX I

An active substance is considered as stable if it is within the defined/regulatory specifications when stored for at least 2 years at 25° C/60 % RH or at the alternative storage condition 30°C/65 % RH and for at least 6 months at 40° C/75 % RH.

ANNEX II

Extrapolation of data

If real time data are supported by results from studies conducted under accelerated or intermediate storage conditions, the re-test period/shelf life may be extended beyond the end of real time studies. The extrapolated retest period or shelf-life may be up to twice, but should not be more than 12 months beyond, the period covered by real time data, depending on the change over time, variability of data observed, proposed storage conditions and extent of statistical analyses performed. The decision tree depicts the various situations envisaged.

Please refer to the Note for Guidance on Evaluation of Stability Data (CPMP/ICH/420/02) for detailed information.

Decision Tree for Data Evaluation for Retest Period or Shelf Life Estimation for Active Substances or Finished Products (excluding Frozen Products)

蛋白保存方法(Protein_stability_and_storage_)

TECHNICAL RESOURCE Introduction Proteins comprise an extremely heterogeneous class of biological macromolecules. They are often unstable when not in their native environments, which can vary considerably among cell compartments and extracellular fluids. If certain buffer conditions are not maintained, extracted proteins may not function properly or remain soluble. Proteins can lose activity as a of the protein and the storage conditions used. Optimal conditions for storage are distinctive to each protein; nevertheless, it is possible to suggest some general guidelines for protein storage and stability. Common conditions for protein storage are summarized and compared in Table 1. Generally, there are tradeoffs associated with each method. For example, proteins stored in solution at 4°C can be dispensed conveniently as needed but require more diligence to prevent microbial or proteolytic degradation; such proteins may not be stable for more than a few days or weeks. By contrast, lyophilization allows for long-term storage of protein with very little threat of degradation, but the protein must be reconstituted before use and may be damaged by the lyophilization process. Table 1. Comparison of Protein Storage Conditions Characteristic Solution at 4°C Solution in 25-50% glycerol or ethylene Frozen at -20° to -80°C or in liquid nitrogen Lyophilized (usually also frozen) Typical shelf life 1 month 1 year Years Years Requires sterile conditions or addition of antibacterial agent Yes Usually No No Number of times a sample may be removed for use Many Many Once; repeated freeze-thaw cycles generally degrade proteins impractical to lyophilize a sample multiple times Protein stability and storage l t O w .d o c u -t r a c k .c C i c k o b u y N w w o m 冻干法

稳定性模型

第八讲 稳定性模型 虽然动态过程的变化规律一般要用微分方程建立的动态模型来描述,但是对于某些实际问题,建模的主要目的并不是要寻求动态过程每个瞬时的性态,而是研究某种意义下稳定状态的特征,特别是当时间充分长以后动态过程的变化趋势。譬如在什么情况下描述过程的变量会越来越接近某些确定的数值,在什么情况下又会越来越远离这些数值而导致过程不稳定。为了分析这种稳定与不稳定的规律常常不需要求解微分方程,而可以利用微分方程稳定性理论,直接研究平衡状态的稳定性就行了。 引言:微分方程稳定性理论简介 定义1 称一个常微分方程(组)是自治的,如果方程(组) ? ???? ?????==),(),(),(1t x f t x f t x F dt dx N M (1) F 中的,即在)(),(x F t x F =中不含时间变量。 t 事实上,如果增补一个方程,一个非自治系统可以转化自治系统,就是说,如果定义 , ??????=t x y ?? ????=1),()(t x F y G 且引入另一个变量,则方程(1)与下述方程 s )(y G ds dy = 是等价的。这就是说自治系统的概念是相对的。下面仅考虑自治系统,这样的系统也称为动力系统。 定义2 系统 )(x F dt dx = (2) n R 2=n 的相空间是以为坐标的空间),,(1n x x L ,特别,当时,称相空间为相平面。 空间n R 中的点集 },,1,)2()(|),,{(1n i t x x x x i i n L L ==满足 称为系统(2)的轨线,所有轨线在相空间中的分布图称为相图。 定义3 相空间中满足的点称为系统(2)的奇点(或平衡点)。 0)(0=x F 0x 奇点可以是孤立的,也可以是连续的点集。例如,系统 ???????+=+=dy cx dt t dy by ax dt t dx )() ( (3) 当时,有一个连续的奇点的集合。当0=?bc ad 0≠?bc ad 时,是这个系统的 唯一的奇点。下面仅考虑孤立奇点。为了知道何时有孤立奇点,给出下述定理: )0,0(

Stability Testing of Drug Substances and Products(FDA)

ANDAs: Stability Testing of Drug Substances and Products U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) June 2013 Generics

ANDAs: Stability Testing of Drug Substances and Products Additional copies are available from: Office of Communications Division of Drug Information, WO51, Room 2201 Center for Drug Evaluation and Research Food and Drug Administration 10903 New Hampshire Ave., Silver Spring, MD 20993 Phone: 301-796-3400; Fax: 301-847-8714 druginfo@https://www.360docs.net/doc/f414207849.html, https://www.360docs.net/doc/f414207849.html,/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) June 2013 Generics

数学建模平衡点稳定性

微分方程平衡点及其稳定性理论 这里简单介绍下面将要用到的有关内容: 一、 一阶方程的平衡点及稳定性 设有微分方程 ()dx f x dt = (1) 右端不显含自变量t ,代数方程 ()0f x = (2) 的实根0x x =称为方程(1)的平衡点(或奇点),它也是方程(1)的解(奇解) 如果从所有可能的初始条件出发,方程(1)的解()x t 都满足 0lim ()t x t x →∞ = (3) 则称平衡点0x 是稳定的(稳定性理论中称渐近稳定);否则,称0x 是不稳定的(不渐近稳定)。 判断平衡点0x 是否稳定通常有两种方法,利用定义即(3)式称间接法,不求方程(1)的解()x t ,因而不利用(3)式的方法称直接法,下面介绍直接法。 将()f x 在0x 做泰勒展开,只取一次项,则方程(1)近似为: 0'()()dx f x x x dt =- (4) (4)称为(1)的近似线性方程。0x 也是(4)的平衡点。关于平衡点0x 的稳定性有如下的结论: 若0'()0f x <,则0x 是方程(1)、(4)的稳定的平衡点。 若0'()0f x >,则0x 不是方程(1)、(4)的稳定的平衡点 0x 对于方程(4)的稳定性很容易由定义(3)证明,因为(4)的一般解是 0'()0()f x t x t ce x =+ (5) 其中C 是由初始条件决定的常数。

二、 微分方程组的平衡点和稳定性 方程的一般形式可用两个一阶方程表示为 112212()(,)()(,)dx t f x x dt dx t g x x dt ?=????=?? (6) 右端不显含t ,代数方程组 1212 (,)0(,)0f x x g x x =??=? (7) 的实根0012 (,)x x 称为方程(6)的平衡点。记为00012(,)P x x 如果从所有可能的初始条件出发,方程(6)的解12(),()x t x t 都满足 101lim ()t x t x →∞= 202lim ()t x t x →∞ = (8) 则称平衡点00012(,)P x x 是稳定的(渐近稳定);否则,称P 0是不稳定的(不渐 近稳定)。 为了用直接法讨论方法方程(6)的平衡点的稳定性,先看线性常系数方程 1111222122()()dx t a x b x dt dx t a x b x dt ?=+????=+?? (9) 系数矩阵记作 1122a b A a b ??=???? 并假定A 的行列式det 0A ≠ 于是原点0(0,0)P 是方程(9)的唯一平衡点,它的稳定性由的特征方程 det()0A I λ-= 的根λ(特征根)决定,上方程可以写成更加明确的形式: 2120()det p q p a b q A λλ?++=?=-+??=? (10) 将特征根记作12,λλ,则

ICH Stability Climatic Zones

ICH Stability Climatic Zones Countries of climatic zones I and II: Europe: EU, Belarus, Bulgaria, Estonia, Hungary, Latvia, Lithuania, Norway, Rumania, Russia, Switzerland, Ukraine America: USA, Argentina, Bolivia, Chile, Canada, Mexico, Peru, Uruguay Africa: Egypt, Algeria, Canary Islands, Libya, Morocco, Namibia, Rwanda, South Africa, Tunisia, Zambia, Zimbabwe Asia: Japan, Afghanistan, Armenia, Azerbaijan, China, Georgia, Iran, Israel, Kazakhstan, Kirghizia, Korea, Lebanon, Nepal, Syria, Tadzhikistan, Turkey, Turkmen, Uzbekistan, Australia: New Zealand. Countries of climatic zones III and IV: America: Barbados, Belize, Brazil, Costa Rica, Dominican Republic, Ecuador, El Salvador, Guatemala, Guyana, Haiti, Honduras, Jamaica, Columbia, Cuba, Nicaragua, Dutch Antilles, Panama, Paraguay, Puerto Rico, Venezuela. All these countries are assigned to CZ IV. Africa: Angola, Ethiopia, Benin, Botswana (111), Burkino Faso, Burundi, Djibouti, Ivory Coast, Gabon, Gambia, Ghana, Guinea,

Operational Amplifier Stability

TINA-TI应用实例:运算放大器的稳定性分析 原创:TI美国应用工程经理:Tim Green 译注:TI中国大学计划黄争Frank Huang 负反馈电路在运算放大器的应用中起着非常重要的作用,它可以改善运放的许多特性,比如稳定增益,减小失真,扩展频带,阻抗变换等。但是任何事情都有两面性,同样地,负反馈的引入也有可能会使得运放电路不稳定。不稳定轻则可能带来时域上的过冲,而最坏情况就是振荡,即输出中产生预料之外的持续振幅和频率信号。当不期望的振荡发生时,通常会给电路带来许多负面影响:一个最明显的例子是,当恒压源通过运放缓冲后送到ADC的参考电压端,如果运放发生振荡,会给整个电路的测量结果带来完全不可靠的数据。 本章中主要分析了电压反馈型运算放大器不稳定的原因;给出了使用伯特图来分析运放稳定性的方法;最后结合TINA-TI SPICE仿真软件,通过一个实例介绍了分析和解决运算放大器稳定性问题的方法。关于TINA-TI与运放稳定性的更深入讨论可以参考TI公司线性产品应用经理Tim Green先生所撰写的《Operational Amplifier Stability》一文[1]。这里也感谢Tim Green先生对本文提供的大量原始资料和技术指导。 5.1 运算放大器为什么会不稳定? 要分析和解决运放的稳定性问题,首先要清楚为什么运算放大器会不稳定。我们还是先从负反馈电路谈起,以同相放大器的方框图为例来推导反馈系统的一系列方程,如图5.1。同时为更形象地描述运算放大器中的负反馈,绘制一个与图5.1等效的同相放大器如图5.2,注意β等系数在两图中的对应关系。 图5.1 负反馈框图

Leader-to-formation stability

1 Leader-to-Formation Stability Herbert G.Tanner George J.Pappas Vijay Kumar Abstract—We investigate the stability for robot formations from a different perspective,focusing on the dependence of group con-?guration to incoming input singals or disturbances.Our idea builds on the notion of input-to-state stability to de?ne leader-to-formation stability(LFS),as a means to analyze error propagation and performance characterization.Contrary to other notions of stability for interconnected systems,in leader-to-formation stabil-ity the focus is shifted from disturbance rejection to quantifying transient and steady state behaviour,thus being able to relax con-ditions,address a larger class of systems and provide insight to issues of performance improvement in relation to interconnection topology.The new concepts are implemented numerically in the case of a formation of mobile robots where(LFS)also indicates the formation structures that ensure the smallest errors during maneuvering. I.I NTRODUCTION Interconnected systems have lately received considerable at-tention,motivated by recent advances in computation and com-munication,which provide the enabling technology for appli-cations such as automated highway systems[1],cooperative robot reconnaissance[2],[3]and manipulation[4],[5],forma-tion?ight control[6],[7],satellite clustering[8]and control of groups of unmanned vehicles[9],[10],[6].Formation control is one aspect of the study of a patricular class of interconnected systems. One research thrust aims at network architectures and coor-dination methods as a means of generating a group behavior in a formation of vehicles.In behavior-based approaches[2], [11],[12]the group behavior emerges as a combination of group member behaviors,selected among a set of primitive ac-tions.Agent behavior has alternatively been designed so that the group members move as being particles in a rigid virtual structure[13].Similar ideas have been combined with potential ?eld-like controllers for multi agent control[14],[4],[15],and decentralized formation forming[16].The leader-follower ap-proach[17],[18],[19]distinguishes a designated group leader which the other agents follow either directly or indirectly. Another research direction focuses on the stability of the in-terconnected system.In[20]a distributed control scheme is designed for spatially interconnected systems that is shown to inherit the same topological structure with the target system. String stability[21],[22],[1]and mesh stability[23],the latter Herbert Tanner is with the Department of Electrical and Systems Engineer-ing,3401Walnut Street,Suite301C,University of Pennsylvania,Philadelphia, PA19104-6228(e-mail:tanner@https://www.360docs.net/doc/f414207849.html,) George Pappas is with the Department of Electrical and Systems Engineering, 200South33rd Street,University of Pennsylvania,Philadelphia,PA19104(e-mail:pappasg@https://www.360docs.net/doc/f414207849.html,) Vijay Kumar is with the Department of Mechanical Engineering and Ap-plied Mechanics,3401Walnut Street,Suite301C,University of Pennsylvania, Philadelphia,PA19104-6228,(e-mail:kumar@https://www.360docs.net/doc/f414207849.html,)being the generalization of the former in more than two dimen- sions,express the property of the system to attenuate distur-bances as they propagate through the interconnections.While earlier works[24],[21],[22],[25]have used the notion of string stability in the frequency domain,string stability of in-terconnected systems has recently been studied in a state space framework[1].In[1],suf?cient conditions for string stability were derived,requiring global Lipschitz continuity of vector ?elds and exponential stability of the unconnected subsystems. Weaker notions of string stability include string stability [1],which is the only type of stability that can be guaranteed for an interconnected system without a special structure.It is also known that in certain cases string stability is impossible [26],[25],[22]. The class of formations discussed in this paper generally do not fall under the class of string stable interconnected systems. On the other hand,it is generally the case that formations are stable at least locally,in the sense that local controllers can en-sure some boundedness of errors.A question then arises as to whether further stability analysis can be performed to address issues such as boundedness of propagating errors and perfor-mance characterization.This question motivates the introduc-tion of a different framework,that brings forward the depen-dence of the internal state of an interconnected system to in-coming input signals or disturbances,rather than ensuring con-vergence of signals to zero. In this paper we de?ne Leader-to-Formation Stability(LFS), a different notion of stability for leader-following formations, and we use it to characterize how the motion of the group lead-ers can affect the motion of the group.This notion is based on input-to-state stability[27]and its propagation properties through certain interconnections[28],[29].In previous work [30],[31],[32]we have been able to characterize the effect of the behavior of the group leaders to the rest of the group for cer-tain types of formation interconnections and obtain quantitative measures of the stability of the formation with respect to the motion of the leaders.In this paper we generalize these results and exploit LFS for analysis and design of robot formations. II.D EFINITIONS AND P RELIMINARY R EMARKS We consider formations that are based on leader-follower ar-chitectures.In that framework,a formation will be broadly de-?ned as a network of vehicles interconnected through their con-trollers,with the latter being designed so that the motion of the vehicles meet certain speci?cations.In the formations consid-ered,a number of vehicles are identi?ed as designated leaders in the sense that their motion is not constrained by the forma-tion speci?cations.Related work[6],[17],[18],[33],[34]has motivated the use of graphs to represent agent interaction.We

stability 翻译

Abstract: Ship plates are stiffened using different stiffeners. In this paper, a Y stiffener is considered and investigated. A Y stiffener–plate combination model is used to represent the stiffened panel. Our contribution includes characterizing the local instability (buckling) of Y stiffeners in stiffened panels under the action of uniaxial compressive loads. The mathematical derivations have been carried out to find the elastic buckling coefficient for the web of the T-part of the Y stiffener under suitable boundary conditions. Then, the critical value of the buckling stress has been calculated. Using the value of the critical stress and the assumption of uniform stress distribution, the buckling load is calculated for the Y stiffener–plate combination model. Using curve fitting of the analytically obtained results, approximate expressions for calculation of the elastic buckling coefficient of the T-part of the Y stiffener are obtained. These approximate expressions enable designers to calculate easily the elastic buckling coefficient from which the critical buckling stress of the T-part is obtained. 船板用不同的扶强材加固。在本文中,考虑和调查Y加劲肋。Y加劲板组合模型用于表示加劲板。我们的贡献包括在单轴压缩载荷的作用下,在加劲板中表征Y加劲肋的局部不稳定性(屈曲)。进行数学推导以在合适的边界条件下找到Y加劲肋的T形部分的腹板的弹性屈曲系数。然后,计算弯曲应力的临界值。使用临界应力的值和均匀应力分布的假设,计算Y加强板组合模型的屈曲载荷。使用解析获得的结果的曲线拟合,获得用于计算Y加强件的T部分的弹性屈曲系数的近似表达式。这些近似表达式使得设计者能够容易地计算得到T部分的临界屈曲应力的弹性屈曲系数。 INTRODUCTION Ship plates are stiffened using stiffeners that are steel sec- tions having various shapes. In continuous stiffened ship plating, a stiffener (minor member) with attached plating is idealized by plate–stiffener combination model whose length extends perpendicularly between two adjacent major support members (transverse bulkheads). Various shapes of stiffeners may be classified according to their complexity into two groups. The first group of stiffeners that may be termed con- ventional (or typical) has simple shapes, easy fabrication, easy maintenance, and relatively low cost. However, this group in some cases is not capable of giv- ing the required stiffening that is necessary to prevent fail- ure of ship plating. Among this group of stiffeners, we can mention flat bar, T section and angle section. Geometri- cal configurations of conventional (typical) plate–stiffener combination sections are shown in Figure 1.The second group of stiffeners that may be termed non- conventional has relatively complicated shapes. These non- conventional stiffeners give stronger support to ship plates. Among the non-conventional stiffeners we can men- tion,

in use stability专题研究

In use stability专题研究 Zhulikou431 内部培训 2012 中国

谨记 纸上得来终觉浅, 绝知此事要躬行! ---陆游 1.本培训资料参考文献更新至20121101. 2.本专题资料主要针对药品in use stability研究。 3.任何宝贵建议,请联系zhulikou431@https://www.360docs.net/doc/f414207849.html,.

目录(contents) 第01章:概念解析 第02章:中国药典对药品使用期间稳定性要求 第03章:cde指导原则对药品使用期间稳定性要求第04章:EMA指南对药品使用期间稳定性要求 第05章:WHO对药品使用期间稳定性要求 第06章:cde电子刊物对药品使用期间稳定性要求第07章:其他法规文献阐述

In use stability专题研究 第01章:in use stability概念解析 In use stability,顾名思义,指的是药品使用期间稳定性研究项目。 对于如下使用条件的药品,需要考察in use stability 项目: ---药品使用前,需要重新配置或者稀释; ---药品标签声明,和其他药品混合仍然具有稳定性;---药品包装多次打开以后,药品需要继续保持质量稳定性。

In use stability专题研究 第02章:中国药典对药品使用期间稳定性要求中国药典2010版附录XIX C《原料药与药物制剂稳定性试验指导原则》也要求: 此外,有些药物制剂还应考察临用时配制和使用过程中的稳定性。

In use stability专题研究 第03章:cde指导原则对药品使用期间稳定性要求 中国cde2005年发布了《化学药物稳定性研究技术指导 原则》,其中对于in use stability,进行了明确规定: 稳定性试验要求在一定的温度、湿度、光照条件下进行,这些放置条件的设置应充分考虑到药品在贮存、运输及使用过程中可能遇到的环境因素。 对于需要溶解或者稀释后使用的药品,如注射用无菌粉末、溶液片剂等,还应考察临床使用条件下的稳定性。

常用氨基保护基的稳定性Stability-PGofAmine

l 9-Fluorenylmethyl carbamate, Fmoc amino, Fmoc amine, Fmoc amide: H 2O: pH < 1, 100°C pH = 1, RT pH = 4, RT pH = 9, RT pH = 12, RT pH > 12, 100°C Bases: LDA NEt 3, Py t-BuOK Others: DCC SOCl 2 Nucleophiles: RLi RMgX RCuLi Enolates NH 3, RNH 2 NaOCH 3 Electrophiles: RCOCl RCHO CH 3I Others: :CCl 2 Bu 3SnH Reduction: H 2 / Ni H 2 / Rh Zn / HCl Na / NH 3 LiAlH 4 NaBH 4 Oxidation: KMnO 4 OsO 4 CrO 3 / Py RCOOOH I 2, Br 2, Cl 2 MnO 2/CH 2Cl 2 l t -Butyl carbamate, Boc amine, Boc amino, Boc amide: H 2O: pH < 1, 100°C pH = 1, RT pH = 4, RT pH = 9, RT pH = 12, RT pH > 12, 100°C Bases: LDA NEt 3, Py t-BuOK Others: DCC SOCl 2 Nucleophiles: RLi RMgX RCuLi Enolates NH 3, RNH 2 NaOCH 3 Electrophiles: RCOCl RCHO CH 3I Others: :CCl 2 Bu 3SnH Reduction: H 2 / Ni H 2 / Rh Zn / HCl Na / NH 3 LiAlH 4 NaBH 4 Oxidation: KMnO 4 OsO 4 CrO 3 / Py RCOOOH I 2, Br 2, Cl 2 MnO 2 / CH 2Cl 2 l Benzyl carbamate, Cbz-NR 2 / Z-NR 2: H 2O: pH < 1, 100°C pH = 1, RT pH = 4, RT pH = 9, RT pH = 12, RT pH > 12, 100°C Bases: LDA NEt 3, Py t-BuOK Others: DCC SOCl 2 Nucleophiles: RLi RMgX RCuLi Enolates NH 3, RNH 2 NaOCH 3 Electrophiles: RCOCl RCHO CH 3I Others: :CCl 2 Bu 3SnH Reduction: H 2 / Ni H 2 / Rh Zn / HCl Na / NH 3 LiAlH 4 NaBH 4 Oxidation: KMnO 4 OsO 4 CrO 3 / Py RCOOOH I 2, Br 2, Cl 2 MnO 2 / CH 2Cl 2 l Acetamide, Ac-NR 2: H 2O: pH < 1, 100°C pH = 1, RT pH = 4, RT pH = 9, RT pH = 12, RT pH > 12, 100°C Bases: LDA NEt 3, Py t-BuOK Others: DCC SOCl 2 Nucleophiles: RLi RMgX RCuLi Enolates NH 3, RNH 2 NaOCH 3 Electrophiles: RCOCl RCHO CH 3I Others: :CCl 2 Bu 3SnH Reduction: H 2 / Ni H 2 / Rh Zn / HCl Na / NH 3 LiAlH 4 NaBH 4 Oxidation: KMnO 4 OsO 4 CrO 3 / Py RCOOOH I 2, Br 2, Cl 2 MnO 2 / CH 2Cl 2 l Trifluoroacetamide: H 2O: pH < 1, 100°C pH = 1, RT pH = 4, RT pH = 9, RT pH = 12, RT pH > 12, 100°C Bases: LDA NEt 3, Py t-BuOK Others: DCC SOCl 2 Nucleophiles: RLi RMgX RCuLi Enolates NH 3, RNH 2 NaOCH 3 Electrophiles: RCOCl RCHO CH 3I Others: :CCl 2 Bu 3SnH O N O O N O O N O N O N O F F F

Electronic Stability Program电子稳定控制系统

汽车电器与电子设备 电子稳定控制系统Electronic Stability Program 重庆汽车学院

目录 1 概述 (3) 2实际意义 (4) 3 生产商 (4) 4各种相似系统 (4) 5 发展史 (5) 6 关键技术 (6) 7 国内现状 (8) 附一:国产30万以下标配ESP车型 (9) 附二:模拟ESP效果图 (10)

1 概述 Electronic Stability Program(以下简称为ESP),汉语翻译为电子稳定控制系统。它其实就是牵引力控制系统(Traction Control System)的升级版本,与其他牵引力控制系统比较,ESP不但控制驱动轮,而且可控制从动轮。如后轮驱动汽车常出现的转向过多情况,此时后轮失控而甩尾,ESP 便会刹慢外侧的前轮来稳定车子;在转向过少时,为了校正循迹方向,ESP则会刹慢内后轮,从而校正行驶方向。 ESP系统包含ABS(Anti-lock Brake System,防抱死刹车系统)及ASR(Acceleration Slip Regulation防侧滑系统),是这两种系统功能上的延伸。因此,ESP称得上是当前汽车防滑装置的最高级形式。ESP系统由控制单元及转向传感器(监测方向盘的转向角度)、车轮传感器(监测各个车轮的速度转动)、侧滑传感器(监测车体绕垂直轴线转动的状态)、横向加速度传感器(监测汽车转弯时的离心力)等组成。控制单元通过这些传感器的信号对车辆的运行状态进行判断,进而发出控制指令。有ESP与只有ABS及ASR的汽车,它们之间的差别在于ABS及ASR只能被动地作出反应,而ESP则能够探测和分

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