Analytical Procedures and Methods Validation for Drugs
and Biologics
DRAFT GUIDANCE
This guidance document is being distributed for comment purposes only. Comments and suggestions regarding this draft document should be submitted within 90 days of publication in the Federal Register of the notice announcing the availability of the draft guidance. Submit electronic comments to https://www.wendangku.net/doc/7a13924693.html,. Submit written comments to the Division of Dockets Management (HFA-305), Food and Drug Administration, 5630 Fishers Lane, rm. 1061, Rockville, MD 20852. All comments should be identified with the docket number listed in the notice of availability that publishes in the Federal Registe r.
For questions regarding this draft document contact (CDER) Lucinda Buhse 314-539-2134, or (CBER) Office of Communication, Outreach and Development at 800-835-4709 or 301-827-1800.
U.S. Department of Health and Human Services
Food and Drug Administration
Center for Drug Evaluation and Research (CDER)
Center for Biologics Evaluation and Research (CBER)
February 2014
CMC
Analytical Procedures and Methods Validation for Drugs
and Biologics
Additional copies are available from:
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Division of Drug Information, WO51, Room 2201
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Food and Drug Administration
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Phone: 301-796-3400; Fax: 301-847-8714
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(Tel) 800-835-4709 or 301-827-1800
U.S. Department of Health and Human Services
Food and Drug Administration
Center for Drug Evaluation and Research (CDER)
Center for Biologics Evaluation and Research (CBER)
Febr uary 2014
CMC
TABLE OF CONTENTS
I.INTRODUCTION (1)
II.BACKGROUND (2)
III.ANALYTICAL METHODS DEVELOPMENT (3)
IV.CONTENT OF ANALYTICAL PROCEDURES (3)
A.Principle/Scope (4)
B.Apparatus/Equipment (4)
C.Operating Parameters (4)
D.Reagents/Standards (4)
E.Sample Preparation (4)
F.Standards Control Solution Preparation (5)
G.Procedure (5)
H.System Suitability (5)
I.Calculations (5)
J.Data Reporting (5)
V.REFERENCE STANDARDS AND MATERIALS (6)
VI.ANALYTICAL METHOD VALIDATION FOR NDA, ANDAs, BLAs, AND DMFs (6)
A.Noncompendial Analytical Procedures (6)
B.Validation Characteristics (7)
https://www.wendangku.net/doc/7a13924693.html,pendial Analytical Procedures (8)
VII.STATISTICAL ANALYSIS AND MODELS (8)
A.Statistics (8)
B.Models (8)
VIII.LIFE CYCLE MANAGEMENT OF ANALYTICAL PROCEDURES (9)
A.Revalidation (9)
B.Analytical Method Comparability Studies (10)
1.Alternative Analytical Procedures (10)
2.Analytical Methods Transfer Studies (11)
C.Reporting Postmarketing Changes to an Approved NDA, ANDA, or BLA (11)
IX.FDA METHODS VERIFICATION (12)
X.REFERENCES (12)
Guidance for Industry1
1
Analytical Procedures and Methods Validation for Drugs and
2
Biologics
3
4
5
This draft guidance, when finalized, will represent the Food and Drug Administration’s (FDA’s) current 6
thinking on this topic. It does not create or confer any rights for or on any person and does not operate to 7
bind FDA or the public. You can use an alternative approach if the approach satisfies the requirements of 8
the applicable statutes and regulations. If you want to discuss an alternative approach, contact the FDA
9
staff responsible for implementing this guidance. If you cannot identify the appropriate FDA staff, call 10
the appropriate number listed on the title page of this guidance.
11
12
13
14
I. INTRODUCTION
15
16
This revised draft guidance supersedes the 2000 draft guidance for industry on Analytical
17
Procedures and Methods Validation2,3 and, when finalized, will also replace the 1987 FDA
18
guidance for industry on Submitting Samples and Analytical Data for Methods Validation. It
19
provides recommendations on how you, the applicant, can submit analytical procedures4 and
20
methods validation data to support the documentation of the identity, strength, quality, purity,
21
and potency of drug substances and drug products.5It will help you assemble information and 22
present data to support your analytical methodologies. The recommendations apply to drug
23
substances and drug products covered in new drug applications (NDAs), abbreviated new drug 24
applications (ANDAs), biologics license applications (BLAs), and supplements to these
25
applications. The principles in this revised draft guidance also apply to drug substances and drug 26
products covered in Type II drug master files (DMFs).
27
28
This revised draft guidance complements the International Conference on Harmonisation (ICH) 29
guidance Q2(R1)Validation of Analytical Procedures: Text and Methodology(Q2(R1)) for
30
developing and validating analytical methods.
31
32
This revised draft guidance does not address investigational new drug application (IND) methods 33
validation, but sponsors preparing INDs should consider the recommendations in this guidance.
34
For INDs, sufficient information is required at each phase of an investigation to ensure proper
35
identity, quality, purity, strength, and/or potency. The amount of information on analytical
36
procedures and methods validation will vary with the phase of the investigation.6 For general
37
1 This guidance has been prepared by the Office of Pharmaceutical Science, in the Center for Drug Evaluation and
Research (CDER) and the Center for Biologics Evaluation and Research (CBER) at the Food and Drug
Administration.
2 Sample submission is described in section IX, FDA Methods Verification.
3 We update guidances periodically. To make sure you have the most recent version of a guidance, check the FDA
Drugs guidance Web page at
https://www.wendangku.net/doc/7a13924693.html,/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/default.htm.
4Analytical procedure is interchangeable with a method or test procedure.
5The terms drug substance and drug product, as used in this guidance, refer to human drugs and biologics.
6 See 21 CFR 312.23(a)(7).
guidance on analytical procedures and methods validation information to be submitted for phase 38
one studies, sponsors should refer to the FDA guidance for industry on Content and Format of
39
Investigational New Drug Applications (INDs) for Phase 1 Studies of Drugs, Including
40
Well-Characterized, Therapeutic, Biotechnology-Derived Products. General considerations for 41
analytical procedures and method validation (e.g., bioassay) before conduct of phase three
42
studies are discussed in the FDA guidance for industry on IND Meetings for Human Drugs and 43
Biologics, Chemistry, Manufacturing, and Controls Information.
44
45
This revised draft guidance does not address specific method validation recommendations for
46
biological and immunochemical assays for characterization and quality control of many drug
47
substances and drug products. For example, some bioassays are based on animal challenge
48
models, and immunogenicity assessments or other immunoassays have unique features that
49
should be considered during development and validation.
50
51
In addition, the need for revalidation of existing analytical methods may need to be considered 52
when the manufacturing process changes during the product’s life cycle. For questions on
53
appropriate validation approaches for analytical procedures or submission of information not
54
addressed in this guidance, you should consult with the appropriate FDA product quality review 55
staff.
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If you choose a different approach than those recommended in this revised draft guidance, we
58
encourage you to discuss the matter with the appropriate FDA product quality review staff before 59
you submit your application.
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FDA’s guidance documents, including this guidance, do not establish legally enforceable
62
responsibilities. Instead, guidances describe the Agency’s current thinking on a topic and should 63
be viewed only as recommendations, unless specific regulatory or statutory requirements are
64
cited. The use of the word should in Agency guidances means that something is suggested or
65
recommended, but not required.
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II.BACKGROUND
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Each NDA and ANDA must include the analytical procedures necessary to ensure the identity, 71
strength, quality, purity, and potency of the drug substance and drug product.7 Each BLA must 72
include a full description of the manufacturing methods, including analytical procedures that
73
demonstrate the manufactured product meets prescribed standards of identity, quality, safety,
74
purity, and potency.8 Data must be available to establish that the analytical procedures used in 75
testing meet proper standards of accuracy and reliability and are suitable for their intended
76
purpose.9 For BLAs and their supplements, the analytical procedures and their validation are
77
submitted as part of license applications or supplements and are evaluated by FDA quality
78
review groups.
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7 See 21 CFR 314.50(d)(1) and 314.94(a)(9)(i).
8 See 21 CFR 601.2(a) and 601.2(c).
9 See 21 CFR 211.165(e) and 211.194(a)(2).
Analytical procedures and validation data should be submitted in the corresponding sections of 81
the application in the ICH M2 eCTD: Electronic Common Technical Document Specification.10
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When an analytical procedure is approved/licensed as part of the NDA, ANDA, or BLA, it
84
becomes the FDA approved analytical procedure for the approved product. This analytical
85
procedure may originate from FDA recognized sources (e.g., a compendial procedure from the 86
United States Pharmacopeia/National Formulary (USP/NF)) or a validated procedure you
87
submitted that was determined to be acceptable by FDA. To apply an analytical method to a
88
different product, appropriate validation studies with the matrix of the new product should be
89
considered.
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III.ANALYTICAL METHODS DEVELOPMENT
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An analytical procedure is developed to test a defined characteristic of the drug substance or
95
drug product against established acceptance criteria for that characteristic. Early in the
96
development of a new analytical procedure, the choice of analytical instrumentation and
97
methodology should be selected based on the intended purpose and scope of the analytical
98
method. Parameters that may be evaluated during method development are specificity, linearity, 99
limits of detection (LOD) and quantitation limits (LOQ), range, accuracy, and precision.
100
101
During early stages of method development, the robustness of methods should be evaluated
102
because this characteristic can help you decide which method you will submit for approval.
103
Analytical procedures in the early stages of development are initially developed based on a
104
combination of mechanistic understanding of the basic methodology and prior experience.
105
Experimental data from early procedures can be used to guide further development. You should 106
submit development data within the method validation section if they support the validation of 107
the method.
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To fully understand the effect of changes in method parameters on an analytical procedure, you 110
should adopt a systematic approach for method robustness study (e.g., a design of experiments 111
with method parameters). You should begin with an initial risk assessment and follow with
112
multivariate experiments. Such approaches allow you to understand factorial parameter effects 113
on method performance. Evaluation of a method’s performance may include analyses of
114
samples obtained from in-process manufacturing stages to the finished product. Knowledge
115
gained during these studies on the sources of method variation can help you assess the method 116
performance.
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IV.CONTENT OF ANALYTICAL PROCEDURES
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You should describe analytical procedures in sufficient detail to allow a competent analyst to 122
reproduce the necessary conditions and obtain results within the proposed acceptance criteria. 123
You should also describe aspects of the analytical procedures that require special attention. An 124
analytical procedure may be referenced from FDA recognized sources (e.g., USP/NF,
125
10 See sections 3.2.S.4 Control of Drug Substance, 3.2.P.4 Control of Excipients, and 3.2.P.5 Control of Drug
Product.
Association of Analytical Communities (AOAC) International)11 if the referenced analytical
126
procedure is not modified beyond what is allowed in the published method. You should provide 127
in detail the procedures from other published sources. The following is a list of essential
128
information you should include for an analytical procedure:
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A.Principle/Scope
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132
A description of the basic principles of the analytical test/technology (separation, detection, etc.); 133
target analyte(s) and sample(s) type (e.g., drug substance, drug product, impurities or compounds 134
in biological fluids, etc.).
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B.Apparatus/Equipment
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All required qualified equipment and components (e.g., instrument type, detector, column type, 139
dimensions, and alternative column, filter type, etc.).
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C.Operating Parameters
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Qualified optimal settings and ranges (allowed adjustments) critical to the analysis (e.g., flow
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rate, components temperatures, run time, detector settings, gradient, head space sampler). A
145
drawing with experimental configuration and integration parameters may be used, as applicable. 146
147
D.Reagents/Standards
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The following should be listed:
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?Grade of chemical (e.g., USP/NF, American Chemical Society, High
152
Performance or Pressure Liquid Chromatography, or Gas
153
Chromatography and preservative free).
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?Source (e.g., USP reference standard or qualified in-house reference material). 155
?State (e.g., dried, undried, etc.) and concentration.
156
?Standard potencies (purity correction factors).
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?Storage controls.
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?Directions for safe use (as per current Safety Data Sheet).
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?Validated or useable shelf life.
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New batches of biological reagents, such as monoclonal antibodies, polyclonal antisera, or cells, 162
may need extensive qualification procedures included as part of the analytical procedure.
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E.Sample Preparation
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Procedures (e.g., extraction method, dilution or concentration, desalting procedures and mixing 167
by sonication, shaking or sonication time, etc.) for the preparations for individual sample tests. 168
A single preparation for qualitative and replicate preparations for quantitative tests with
169
11 See 21 CFR 211.194(a)(2).
appropriate units of concentrations for working solutions (e.g., μg/ml or mg/ml) and information 170
on stability of solutions and storage conditions.
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F.Standards Control Solution Preparation
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Procedures for the preparation and use of all standard and control solutions with appropriate
175
units of concentration and information on stability of standards and storage conditions,
176
including calibration standards, internal standards, system suitability standards, etc.
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G.Procedure
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A step-by-step description of the method (e.g., equilibration times, and scan/injection sequence 181
with blanks, placeboes, samples, controls, sensitivity solution (for impurity method) and
182
standards to maintain validity of the system suitability during the span of analysis) and allowable 183
operating ranges and adjustments if applicable.
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H.System Suitability
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Confirmatory test(s) procedures and parameters to ensure that the system (equipment,
188
electronics, and analytical operations and controls to be analyzed) will function correctly as an 189
integrated system at the time of use. The system suitability acceptance criteria applied to
190
standards and controls, such as peak tailing, precision and resolution acceptance criteria, may be 191
required as applicable. For system suitability of chromatographic systems, refer to CDER
192
reviewer guidance on Validation of Chromatographic Methods and USP General Chapter <621> 193
Chromatography.
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I.Calculations
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The integration method and representative calculation formulas for data analysis (standards,
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controls, samples) for tests based on label claim and specification (e.g., assay, specified and
199
unspecified impurities and relative response factors). This includes a description of any
200
mathematical transformations or formulas used in data analysis, along with a scientific
201
justification for any correction factors used.
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J.Data Reporting
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A presentation of numeric data that is consistent with instrumental capabilities and acceptance 206
criteria. The method should indicate what format to use to report results (e.g., percentage label 207
claim, weight/weight, and weight/volume etc.) with the specific number of significant figures 208
needed. The American Society for Testing and Materials (ASTM) E29 describes a standard
209
practice for using significant digits in test data to determine conformance with specifications. For 210
chromatographic methods, you should include retention times (RTs) for identification with
211
reference standard comparison basis, relative retention times (RRTs) (known and unknown
212
impurities) acceptable ranges and sample results reporting criteria.
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V.REFERENCE STANDARDS AND MATERIALS
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Primary and secondary reference standards and materials are defined and discussed in the
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following ICH guidances: Q6A Specifications: Test Procedures and Acceptance Criteria for 219
New Drug Substances and New Drug Products: Chemical Substances (ICH Q6A), Q6B
220
Specifications: Test Procedures and Acceptance Criteria for Biotechnological/Biological
221
Products, and Q7 Good Manufacturing Practice Guidance for Active Pharmaceutical
222
Ingredients. For all standards, you should ensure the suitability for use. Reference standards for 223
drug substances are particularly critical in validating specificity for an identity test. You should 224
strictly follow storage, usage conditions, and handling instructions for reference standards to
225
avoid added impurities and inaccurate analysis. For biological products, you should include
226
information supporting any reference standards and materials that you intend to use in the BLA 227
and in subsequent annual reports for subsequent reference standard qualifications. Information 228
supporting reference standards and materials include qualification test protocols, reports, and 229
certificates of analysis (including stability protocols and relevant known impurity profile
230
information, as applicable).
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Reference standards can often be obtained from USP and may also be available through the
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European Pharmacopoeia, Japanese Pharmacopoeia, World Health Organization, or National 234
Institute of Standards and Technology. Reference standards for a number of biological products 235
are also available from CBER. For certain biological products marketed in the U.S., reference 236
standards authorized by CBER must be used before the product can be released to the market.12 237
Reference materials from other sources should be characterized by procedures including routine 238
and beyond routine release testing as described in ICH Q6A. You should consider orthogonal 239
methods. Additional testing could include attributes to determine the suitability of the reference 240
material not necessarily captured by the drug substance or product release tests (e.g., more
241
extensive structural identity and orthogonal techniques for purity and impurities, biological
242
activity).
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For biological reference standards and materials, we recommend that you follow a two-tiered 245
approach when qualifying new reference standards to help prevent drift in the quality attributes 246
and provide a long-term link to clinical trial material. A two-tiered approach involves a
247
comparison of each new working reference standard with a primary reference standard so that it 248
is linked to clinical trial material and the current manufacturing process.
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VI.ANALYTICAL METHOD VALIDATION FOR NDA, ANDAs, BLAs, AND 252
DMFs
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A.Noncompendial Analytical Procedures
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Analytical method validation is the process of demonstrating that an analytical procedure is
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suitable for its intended purpose. The methodology and objective of the analytical procedures 258
should be clearly defined and understood before initiating validation studies. This understanding 259
12 See 21 CFR 610.20.
is obtained from scientifically-based method development and optimization studies. Validation 260
data must be generated under an protocol approved by the sponsor following current good
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manufacturing practices with the description of methodology of each characteristic test and
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predetermined and justified acceptance criteria, using qualified instrumentation operated under 263
current good manufacturing practices conditions.13 Protocols for both drug substance and
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product analytes or mixture of analytes in respective matrices should be developed and executed. 265
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ICH Q2(R1) is considered the primary reference for recommendations and definitions on
267
validation characteristics for analytical procedures. The FDA Reviewer Guidance: Validation of 268
Chromatographic Methods is available as well.
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B.Validation Characteristics
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Although not all of the validation characteristics are applicable for all types of tests, typical
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validation characteristics are:
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?Specificity
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?Linearity
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?Accuracy
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?Precision (repeatability, intermediate precision, and reproducibility)
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?Range
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?Quantitation limit
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?Detection limit
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If a procedure is a validated quantitative analytical procedure that can detect changes in a quality 284
attribute(s) of the drug substance and drug product during storage, it is considered a stability
285
indicating assay. To demonstrate specificity of a stability-indicating assay, a combination of
286
challenges should be performed. Some challenges include the use of samples spiked with target 287
analytes and all known interferences; samples that have undergone various laboratory stress
288
conditions; and actual product samples (produced by the final manufacturing process) that are
289
either aged or have been stored under accelerated temperature and humidity conditions.
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As the holder of the NDA, ANDA, or BLA, you must:14 (1) submit the data used to establish
292
that the analytical procedures used in testing meet proper standards of accuracy and reliability, 293
and (2) notify the FDA about each change in each condition established in an approved
294
application beyond the variations already provided for in the application, including changes to 295
analytical procedures and other established controls.
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The submitted data should include the results from the robustness evaluation of the method,
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which is typically conducted during method development or as part of a planned validation
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study.15
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13 See 21 CFR 211.165(e); 21 CFR 314.50 (d), and for biologics see 21 CFR 601.2(a), 601.2(c), and 601.12(a).
14 For drugs see 21 CFR 314.50 (d), 314.70(d), and for biologics see 21 CFR 601.2(a), 601.2(c), and 601.12(a). For a
BLA, as discussed below, you must obtain prior approval from FDA before implementing a change in analytical
methods if those methods are specified in FDA regulations
15 See section III and ICH Q2(R1).
https://www.wendangku.net/doc/7a13924693.html,pendial Analytical Procedures
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The suitability of an analytical procedure (e.g., USP/NF, the AOAC International Book of
304
Methods, or other recognized standard references) should be verified under actual conditions of 305
use.16 Compendial general chapters, which are complex and mention multiple steps and/or
306
address multiple techniques, should be rationalized for the intended use and verified. Information 307
to demonstrate that USP/NF analytical procedures are suitable for the drug product or drug
308
substance should be included in the submission and generated under a verification protocol.
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The verification protocol should include, but is not limited to: (1) compendial methodology to 311
be verified with predetermined acceptance criteria, and (2) details of the methodology (e.g.,
312
suitability of reagent(s), equipment, component(s), chromatographic conditions, column, detector 313
type(s), sensitivity of detector signal response, system suitability, sample preparation and
314
stability). The procedure and extent of verification should dictate which validation characteristic 315
tests should be included in the protocol (e.g., specificity, LOD, LOQ, precision, accuracy, etc.). 316
Considerations that may influence what characteristic tests should be in the protocol may depend 317
on situations such as whether specification limits are set tighter than compendial acceptance
318
criteria, or RT or RRT profiles are changing in chromatographic methods because of the
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synthetic route of drug substance or differences in manufacturing process or matrix of drug
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product. Robustness studies of compendial assays do not need to be included, if methods are 321
followed without deviations.
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VII.STATISTICAL ANALYSIS AND MODELS
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A.Statistics
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Statistical analysis of validation data can be used to evaluate validation characteristics against 329
predetermined acceptance criteria. All statistical procedures and parameters used in the analysis 330
of the data should be based on sound principles and appropriate for the intended evaluation.
331
Reportable statistics of linear regression analysis R (correlation coefficient), R square
332
(coefficient of determination), slope, least square, analysis of variance (ANOVA), confidence 333
intervals, etc., should be provided with justification.For information on statistical techniques 334
used in making comparisons, as well as other general information on the interpretation and
335
treatment of analytical data, appropriate literature or texts should be consulted.17
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B.Models
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Some analytical methods might use chemometric and/or multivariate models. When developing 340
these models, you should include a statistically adequate number and range of samples for model 341
development and comparable samples for model validation. Suitable software should be used for 342
data analysis. Model parameters should be deliberately varied to test model robustness.
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16 See 21 CFR 211.194(a)(2) and USP General Chapter <1226> Verification of Compendial Procedures.
17 See References section for examples including USP <1010> Analytical Data – Interpretation and Treatment.
VIII.LIFE CYCLE MANAGEMENT OF ANALYTICAL PROCEDURES
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Once an analytical procedure (including compendial methods) is successfully validated and
348
implemented, the procedure will be followed during the life cycle of the product. Trend analysis 349
on method performance should be performed at regular intervals to evaluate the need to optimize 350
the analytical procedure or to revalidate all or a part of the analytical procedure. If an analytical 351
procedure can only meet the established system suitability requirements with repeated
352
adjustments to the operating conditions stated in the analytical procedure, the analytical
353
procedure should be reevaluated, revalidated, or amended, as appropriate.
354
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Over the life cycle of a product, new information (e.g., a better understanding of product CQAs 356
or awareness of a new impurity) may warrant the development and validation of a new or
357
alternative analytical method. New technologies may allow for greater understanding and/or 358
confidence when ensuring product quality. Applicants should periodically evaluate the
359
appropriateness of a product’s analytical methods and consider new or alternative methods.
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In anticipation of life cycle changes in analytics, an appropriate number of samples should be 362
archived to allow for comparative studies. The number should be based on scientific principles 363
and an assessment of risk. For complex products that are sensitive to manufacturing changes, 364
archived samples can be an important tool to make these comparisons. The archived samples 365
used in comparative studies should include samples that represent pivotal clinical trial material 366
and marketed product.
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If a risk-based evaluation or other drivers lead to changes in an analytical procedure or
369
replacement with a new method or if the procedure is transferred to a new testing site;
370
revalidation, a new validation exercise, an analytical method comparability study, or a
371
combination of these exercises should be considered. In some cases, changes to the drug
372
substance or drug product manufacturing process may also warrant analytical procedure
373
revalidation. These additional studies are discussed below.
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A.Revalidation
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377
Principles described in the validation section (section VI) apply to revalidation. When a change 378
is made to an analytical procedure (e.g., a change in a piece of equipment or reagent or because 379
of a change in manufacturing process or formulation), revalidation of all or part of the analytical 380
procedure should be considered. Analytical method revalidation may also be warranted because 381
of manufacturing process changes, such as an alteration in the drug substance manufacturing
382
process that could impact method performance (e.g., route of synthesis, fermentation) or
383
introduction of a new drug product formulation.
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385
You should revalidate to ensure that the analytical procedure maintains its critical performance 386
characteristics (e.g., specificity, precision, accuracy, etc). The degree of revalidation depends on 387
the nature of the change.
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B.Analytical Method Comparability Studies
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Analytical method comparability study requests are typically generated when you propose to
392
substitute an FDA approved analytical procedure with an alternative analytical procedure or
393
when an analytical method is transferred from one laboratory to the other. These scenarios are 394
discussed below.
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1.Alternative Analytical Procedures
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An alternative analytical procedure is an analytical procedure that you use in place of the FDA 399
approved analytical procedure. For an NDA or ANDA, you should include any proposed
400
alternate analytical procedures in the application. You must include a description of the
401
procedure.18 After approval, for an NDA or ANDA, or for a procedure approved in a BLA but 402
not included in an FDA regulation, the addition, revision, or deletion of an alternative analytical 403
procedure that provides the same or increased assurance of the identity, strength, quality, purity, 404
or potency of the material being tested as the analytical procedure described in the approved
405
application, must be documented in the next annual report.19 Additions or revisions of analytical 406
procedures in BLAs may require submission as a supplement. FDA recommends discussion with 407
the appropriate review group to determine the appropriate reporting category
408
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For biological products, rarely an analytical procedure may be included in an FDA regulation. 410
When that occurs, alternative analytical procedures are submitted following 21 CFR 610.9(a). It 411
states that the applicant will present evidence “…demonstrating that the modification will
412
provide assurances of the safety, purity, potency, and effectiveness of the biological product
413
equal to or greater than the assurances provided by the method or process specified in the general 414
standards or additional standards for the biological product.” Modification of such procedures 415
requires FDA approval during application review or in a postapproval supplement.20
416
417
You should identify the use of the alternative analytical procedure (e.g., release, stability testing) 418
and provide a rationale for its inclusion, validation data, and comparative data to the FDA
419
approved analytical procedure. You should perform a comparability study that demonstrates at a 420
minimum that:
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?The new method coupled with any additional control measures is equal or
423
superior for the original method for the intended purpose.
424
425
?The new analytical procedure is not more susceptible to matrix effects than the 426
original procedure.
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428
If new process or product related variants or any new impurities are discovered with the new
429
procedure, testing on archived samples from historical batches should be performed to
430
demonstrate that the variants/impurities detected by the new method are a result of an increase in 431
18 See 21 CFR 314.50.
19 See 21 CFR 314.70(d)(1), (d)(2)(vii). 314.81(b)(2), and 601.12(d)(vii).
20 See 21 CFR 610.9(b).
the sensitivity or selectivity of the new procedure and not a result of a change to process related 432
impurities.
433
434
If the procedure has stability indicating properties:
435
436
?Appropriate samples should be included that allow a comparison of the ability of 437
the new and original method to detect relevant product variants and degradation 438
species.
439
?The number of batches analyzed for comparison should be statistically relevant 440
and justified for a pre-established confidence interval.
441
?Equivalence, non-inferiority, or superiority studies should be performed with
442
appropriate statistical methods to demonstrate that the new or revised method
443
performance is comparable or better than the original method.
444
?The statistical analyses performed to compare product testing should be
445
identified.
446
?All bias seen with comparative results should be discussed with an explanation, as 447
appropriate.
448
449
2.Analytical Methods Transfer Studies
450
451
Analytical method transfer is typically managed under an internal transfer protocol that details 452
the parameters to be evaluated in addition to the predetermined acceptance criteria that will be 453
applied to the results. Transfer studies usually involve two or more laboratories or sites
454
(originating lab and receiving labs) executing the preapproved transfer protocol. A sufficient 455
number of representative test articles (e.g., same lot(s) of drug substance or drug product) are 456
used by the originating and receiving laboratories. The comparative s tudies are performed to 457
evaluate accuracy and precision, especially with regard to assessment of interlaboratory
458
variability. In cases where the transferred analytical procedure is also a stability indicating
459
method, forced degradation samples or samples containing pertinent product-related impurities 460
should be analyzed at both sites. The USP General Chapter <1224> Transfer of Analytical
461
Procedures provides additional guidance on this topic.
462
463
C.Reporting Postmarketing Changes to an Approved NDA, ANDA, or BLA 464
465
Postmarketing changes to analytical procedures must be reported to the FDA in compliance with 466
21 CFR 314.70 or 21 CFR 601.12.21 Additional information on the appropriate reporting
467
category for various kinds of postapproval changes for NDAs and ANDAs is provided in the
468
FDA guidance for industry on Changes to an Approved NDA or ANDA and Changes to an
469
Approved NDA or ANDA; Specifications – Use of Enforcement Discretion for Compendial
470
Changes. Similar information on postapproval changes to BLAs regulated by CDER and CBER 471
is provided in the FDA guidance Changes to an Approved Application for Specified
472
Biotechnology and Specified Synthetic Biological Products.
473
474
475
21 As noted, for a product licensed under a BLA, if the change is to a procedure prescribed in FDA regulations that
change must be approved by FDA pursuant to 21 CFR 610.9(b).
IX.FDA METHODS VERIFICATION
476
477
Part of the approval process for NDAs and ANDAs may include FDA laboratory assessment to 478
determine whether the analytical procedures are acceptable for quality control and suitable for 479
regulatory purposes.22 If a laboratory assessment will be conducted, the FDA laboratory will 480
send you a request that will detail what samples and supplies to send to the FDA laboratory.
481
These could include product samples, standards, critical reagents, material safety data sheets, and 482
supplies. Laboratory results and comments will be forwarded from the FDA laboratory to the 483
product quality reviewer.
484
485
For certain biological products, samples representative of the product for licensure along with 486
summaries of results of tests performed on the lots represented by these samples should be
487
submitted with the BLA.23 The FDA laboratory verifies the performance of the methods and the 488
results you submit. During the pre-BLA meeting or after submission of the BLA, the FDA
489
laboratory can send you a request to provide standards, controls, reagents, material safety data 490
sheets, and supplies.
491
492
493
X.REFERENCES
494
495
Guidance for Industry24
496
497
ANDAs: Impurities in Drug Products (November 2010)
498
499
ANDAs: Impurities in Drug Substances (July 2009)
500
501
Changes to an Approved NDA or ANDA (April 2004)
502
503
Changes to an Approved Application for Specified Biotechnology and Specified Synthetic
504
Biological Products (July 1997)
505
506
Changes to an Approved NDA or ANDA; Specifications – Use of Enforcement Discretion for 507
Compendial Changes (November 2004)
508
509
Content and Format of Investigational New Drug Applications (INDs) for Phase 1 Studies of 510
Drugs, Including Well-Characterized, Therapeutic, Biotechnology-derived Products (November 511
1995)
512
513
INDs for Phase 2 and 3 Studies of Drugs, Including Specified Therapeutic Biotechnology-
514
Derived Products (February 1999)
515
516
22 See 21 CFR 314.50(e).
23 See 21 CFR 601.2(a).
24 Draft guidances have been included for completeness only. As draft documents, they are not intended to be
implemented until published in final form.
Investigating Out of Specification (OOS) Test Results for Pharmaceutical Production (October 517
2006)
518
519
Submission of Chemistry, Manufacturing, and Controls Information for Synthetic Peptide
520
Substances (November 1994)
521
522
Guidance for Industry: International Conference on Harmonization
523
524
Q1A(R2) Stability Testing of New Drug Substances and Products (November 2003)
525
526
Q1B Stability Testing: Photostability Testing of New Drug Substances and Products (May 527
1997)
528
529
Q1C Stability Testing for New Dosage Forms (May 1997)
530
531
Q2(R1) Validation of Analytical Procedures: Text and Methodology (March 1995, May 1997) 532
533
Q3A(R2) Impurities in New Drug Substances (June 2008)
534
535
Q3B(R2) Impurities in New Drug Products (August 2006)
536
537
Q3C Impurities: Residual Solvents (December1997)
538
539
Q3C Tables and List (February 2012)
540
541
Q5C Quality of Biotechnological Products: Stability Testing of Biotechnological/Biological 542
Products (July 1996)
543
544
Q6A Specifications: Test Procedures and Acceptance Criteria for New Drug Substances and 545
New Drug Products: Chemical Substances (December 2000)
546
547
Q6B Specifications: Test Procedures and Acceptance Criteria for Biotechnological/Biological 548
Products (August 1999)
549
550
Q7 Good Manufacturing Practice Guide for Active Pharmaceutical Ingredients
551
(August 2001)
552
553
Reviewer Guidance
554
555
Validation of Chromatographic Methods (November 1994)
556
557
United States Pharmacopeia/National Formulary
558
559
General Chapter <621> Chromatography
560
561
General Chapter <1010> Analytical Data – Interpretation and Treatment
562
563
General Chapter <1224> Transfer of Analytical Procedures
564
565
General Chapter <1225> Validation of Compendial Procedures
566
567
General Chapter <1226> Verification of Compendial Procedures
568
569
General Notices and Requirements, Applying to Standards, Tests, Assays, and Other
570
Specifications of the United States Pharmacopeia: 7. Test Results
571
572
Interpretation and Treatment of Analytical Data; USP Pharmacopeial Forum, United States
573
Pharmacopeial Convention, Inc., Rockville MD: 1994, Volume 24, Number 5, pp. 7051 - 7056 574
575
Other
576
577
ASTM Standard, E29 - 2008 Standard Practice for Using Significant Digits in Test Data to
578
Determine Conformance with Specifications, ASTM International, West Conshohocken, PA, 579
(https://www.wendangku.net/doc/7a13924693.html,).
580
581
Miller, J.C., J.N. Miller, and E. Horwood, Statistics for Analytical Chemistry, 3rd edition,
582
Prentice
583
Hall, 1993.
584
585
Saunders, B.D., and R.G. Trapp,Basic and Clinical Biostatistics, 2nd edition, Appleton and 586
Lange,
587
1994.
588
589
590
591
指导原则编号: 【H】G P H 5-1 化学药物质量控制分析方法验证 技术指导原则 二○○五年三月
目 录 一、概述 (1) 二、方法验证的一般原则 (2) 三、方法验证涉及到的三个主要方面 (2) (一)需要验证的检测项目 (2) (二)分析方法 (3) (三)验证内容 (3) 四、方法验证的具体内容 (3) (一)专属性 (3) 1、鉴别反应 (4) 2、杂质检查 (4) 3、含量测定 (4) (二)线性 (5) (三)范围 (5) 1、含量测定 (6) 2、制剂含量均匀度 (6) 3、溶出度或释放度 (6) 4、杂质 (6) (四)准确度 (6) 1、含量测定 (7) 2、杂质定量试验 (7) (五)精密度 (7) 1、重复性 (8) 2、中间精密度 (8) 3、重现性 (8)
(六)检测限 (8) 1、直观法 (8) 2、信噪比法 (9) (七)定量限 (9) 1、直观法 (9) 2、信噪比法 (9) (八)耐用性 (10) (九)系统适用性试验 (10) 五、方法再验证 (11) 六、方法验证的评价 (12) (一)有关方法验证评价的一般考虑 (12) (二)方法验证的整体性和系统性 (12) 七、参考文献 (13) 八、著者 (13)
化学药物质量控制分析方法验证技术指导原则 一、概述 保证药品安全、有效、质量可控是药品研发和评价应遵循的基本原则,其中,对药品进行质量控制是保证药品安全有效的基础和前提。为达到控制质量的目的,需要多角度、多层面来控制药品质量,也就是说要对药物进行多个项目测试,来全面考察药品质量。一般地,每一测试项目可选用不同的分析方法,为使测试结果准确、可靠,必须对所采用的分析方法的科学性、准确性和可行性进行验证,以充分表明分析方法符合测试项目的目的和要求,这就是通常所说的对方法进行验证。 方法验证的目的是判断采用的分析方法是否科学、合理,是否能有效控制药品的内在质量。从本质上讲,方法验证就是根据检测项目的要求,预先设置一定的验证内容,并通过设计合理的试验来验证所采用的分析方法能否符合检测项目的要求。 方法验证在分析方法建立过程中具有重要的作用,并成为质量研究和质量控制的组成部分。只有经过验证的分析方法才能用于控制药品质量,因此方法验证是制订质量标准的基础。方法验证是药物研究过程中的重要内容。 本指导原则重点探讨方法验证的本质,将分析方法验证的要求与所要达到的目的结合起来进行系统和规律性的阐述,重点阐述如何科学合理地进行论证方案的设计。 本指导原则主要包括方法验证的一般原则、方法验证涉及的三个主要方
药品微生物检验替代方法验证指导原则 本指导原则是为所采用的试验方法能否替代药典规定的方法用于药品微生物的检验提供指导。 随着微生物学的迅速发展,制药领域不断引入了一些新的微生物检验技术,大体可分为三类:(1)基于微生物生长信息的检验技术,如生物发光技术、电化学技术、比浊法等;(2)直接测定被测介质中活微生物的检验技术,如固相细胞技术法、流式细胞计数法等;(3)基于微生物细胞所含有特定组成成分的分析技术,如脂肪酸测定技术、核酸扩增技术、基因指纹分析技术等。这些方法与传统检查方法比较,或简便快速,或具有实时或近实时监控的潜力,使生产早期采取纠正措施及监控和指导优良生产成为可能,同时新技术的使用也促进了生产成本降低及检验水平的提高。 在控制药品微生物质量中,微生物实验室出于各种原因如成本、生产量、快速简便及提高药品质量等需要而采用非药典规定的检验方法(即替代方法)时,应进行替代方法的验证,确认其应用效果优于或等同于药典的方法。 微生物检验的类型及验证参数 药品微生物检验方法主要分两种类型:定性试验和定量试验。定性试验就是测定样品中是否存在活的微生物,如无菌检查及控制菌检査。定量试验就是测定样品中存在的微生物数量,如菌落计数试验。 由于生物试验的特殊性,如微生物检验方法中的抽样误差、稀释误差、操作误差、培养误差和计数误差都会对检验结果造成影响,因此,药品质量标准分析方法验证指导原则(附录XIX A)不完全适宜于微生物替代方法的验证。药品微生物检验替代方法的验证参数见表1。 表1 不同微生物检验类型验证参数 注: 尽管替代方法的验证参数与药品质量标准分析方法验证参数有相似之处,但是其具体的内容是依据微生物检验特点而设立的。替代方法验证的实验结果需进行统计分析,当替代方法属于定性检验时,一般采用非参数的统计技术;当替代方法属于定量检验时,需要采用参数统计技术。 进行微生物替代方法的验证时,若替代方法只是针对药典方法中的某一环节进行技术修改,此时,需要验证的对象仅是该项替代技术而不是整个检验方法。如无菌试验若改为使用含培养基的过滤器,然后通过适宜的技术确认活的微生物存在,那么,验证时仅需验证所用的微生物回收系统而不是整个无菌试验方法。 替代方法验证的一般要求 在开展替代方法对样品检验的适用性验证前,有必要对替代方法有一个全面的了解。首先,所选用的替代方法应具备必要的方法适用性证据,表明在不含样品的情况下,替代方法
9012 生物样品定量分析方法验证指导原则
1. 范围
准确测定生物基质(如全血、血清、血浆、尿)中的药物浓度,对于药物和 制剂研发非常重要。这些数据可被用于支持药品的安全性和有效性,或根据毒动 学、药动学和生物等效性试验的结果做出关键性决定。因此,必须完整地验证和 记录应用的生物分析方法,以获得可靠的结果。
本指导原则提供生物分析方法验证的要求,也涉及非临床或临床试验样品实 际分析的基本要求,以及何时可以使用部分验证或交叉验证,来替代完整验证。
生物样品定量分析方法验证和试验样品分析应符合本指导原则的技术要求。 应该在相应的生物样品分析中遵守 GLP 原则或 GCP 原则。
2. 生物分析方法验证
2.1 分析方法的完整验证
分析方法验证的主要目的是,证明特定方法对于测定在某种生物基质中分析 物浓度的可靠性。此外,方法验证应采用与试验样品相同的抗凝剂。一般应对每 个物种和每种基质进行完整验证。当难于获得相同的基质时,可以采用适当基质 替代,但要说明理由。
一个生物分析方法的主要特征包括:选择性、定量下限、响应函数和校正范 围(标准曲线性能)、准确度、精密度、基质效应、分析物在生物基质以及溶液 中储存和处理全过程中的稳定性。
有时可能需要测定多个分析物。这可能涉及两种不同的药物,也可能涉及一 个母体药物及其代谢物,或一个药物的对映体或异构体。在这些情况下,验证和 分析的原则适用于所有涉及的分析物。
对照标准物质 在方法验证中,含有分析物对照标准物质的溶液将被加入到空白生物基质 中。此外,色谱方法通常使用适当的内标。 应该从可追溯的来源获得对照标准物质。应该科学论证对照标准物质的适用 性。分析证书应该确认对照标准物质的纯度,并提供储存条件、失效日期和批号。 对于内标,只要能证明其适用性即可,例如显示该物质本身或其相关的任何杂质 不产生干扰。 当在生物分析方法中使用质谱检测时,推荐尽可能使用稳定同位素标记的内 标。它们必须具有足够高的同位素纯度,并且不发生同位素交换反应,以避免结 果的偏差。
1
附件5 药物非临床药代动力学研究技术指导原则 一、概述 非临床药代动力学研究是通过体外和动物体内的研究方法,揭示药物在体内的动态变化规律,获得药物的基本药代动力学参数,阐明药物的吸收、分布、代谢和排泄(Absorption, Distribution, Metabolism, Excretion, 简称ADME)的过程和特征。 非临床药代动力学研究在新药研究开发的评价过程中起着重要 作用。在药物制剂学研究中,非临床药代动力学研究结果是评价药物制剂特性和质量的重要依据。在药效学和毒理学评价中,药代动力学特征可进一步深入阐明药物作用机制,同时也是药效和毒理研究动物选择的依据之一;药物或活性代谢产物浓度数据及其相关药代动力学参数是产生、决定或阐明药效或毒性大小的基础,可提供药物对靶器官效应(药效或毒性)的依据。在临床试验中,非临床药代动力学研究结果能为设计和优化临床试验给药方案提供有关参考信息。 本指导原则是供中药、天然药物和化学药物新药的非临床药代动力学研究的参考。研究者可根据不同药物的特点,参考本指导原则,科学合理地进行试验设计,并对试验结果进行综合评价。 本指导原则的主要内容包括进行药物非临床药代动力学研究的 基本原则、试验设计的总体要求、生物样品的测定方法、研究项目(血
药浓度-时间曲线、吸收、分布、排泄、血浆蛋白结合、生物转化、对药物代谢酶活性及转运体的影响)、数据处理与分析、结果与评价等,并对研究中其他一些需要关注的问题进行了分析。附录中描述了生物样品分析和放射性同位素标记技术的相关方法和要求,供研究者参考。 二、基本原则 进行非临床药代动力学研究,要遵循以下基本原则: (一)试验目的明确; (二)试验设计合理; (三)分析方法可靠; (四)所得参数全面,满足评价要求; (五)对试验结果进行综合分析与评价; (六)具体问题具体分析。 三、试验设计 (一)总体要求 1. 受试物 中药、天然药物:受试物应采用能充分代表临床试验拟用样品和/或上市样品质量和安全性的样品。应采用工艺路线及关键工艺参数确定后的工艺制备,一般应为中试或中试以上规模的样品,否则应有充分的理由。应注明受试物的名称、来源、批号、含量(或规格)、保存条件、有效期及配制方法等,并提供质量检验报告。由于中药的特殊性,建议现用现配,否则应提供数据支持配制后受试物的质量稳定性及均匀性。当给药时间较
I. INTRODUCTION This 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。 This guidance is intended to assist applicants in assembling information, submitting samples, and presenting data to support 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), product license applications (PLAs), and supplements to these applications. 本指南旨在帮助申请者收集资料,递交样品并资料以支持分析方法。这些建议适用于NDA,ANDA,BLA,PLA及其它们的补充中所涉及的原料药和制剂。 The principles also apply to drug substances and drug products covered in Type II drug master files (DMFs). If a different approach is chosen, the applicant is encouraged to discuss the matter in advance with the center with product jurisdiction to prevent the expenditure of resources on preparing a submission that may later be determined to be unacceptable. 这些原则同样适用于二类DMF所涉及的原料药和制剂。如果使用了其它方法,鼓励申请者事先和FDA药品评审中心的官员进行讨论,以免出现这种情况,那就是花了人力物力所准备起来的递交资料后来发现是不可用的。 The principles of methods validation described in this guidance apply to all types of analytical procedures. However, the specific recommendations in this guidance may not be applicable to certain unique analytical procedures for products such as biological, biotechnological, botanical, or radiopharmaceutical drugs. 本指南中所述的分析方法验证的原则适用于各种类型的分析方法。但是,本指南中特定的建议可能不适用于有些产品所用的特殊分析方法,如生物药,生物技术药,植物药或放射性药物等。 For example, many bioassays are based on animal challenge models, 39 immunogenicity assessments, or other immunoassays that have unique features that should be considered when submitting analytical procedure and methods validation information. 比如说,许多生物分析是建立在动物挑战模式,免疫原性评估或其它有着独特特性的免疫分析基础上的,在递交分析方法和分析方法验证资料时需考虑这些独特的性质。Furthermore, specific recommendations for biological and immunochemical tests that may be necessary for characterization and quality control of many drug substances and drug products are beyond the scope of this guidance document. 而且,许多原料药和制剂的界定和质量控制所需的生物和免疫化学检测并不在本指南的范围之内。 Although this guidance does not specifically address the submission of analytical procedures and validation data for raw materials, intermediates, excipients, container closure components, and other materials used in the production of drug
药品及生物制品的分析方法和方法验证指导原则 目录 1.介绍...................... (1) 2.背景..................... .. (2) 3.分析方法开发. ..................... . (3) 4.分析程序内容.............................................. ......... ..................................... .. 3 A.原则/范围 (4) B.仪器/设备............................................. . (4) C.操作参数.............................................. .. (4) D.试剂/标准............................................. . (4) E.样品制备.............................................. .. (4) F.标准对照品溶液的制备............................................ .. (5) G.步骤......... ....................................... (5) H.系统适应性..... (5) I.计算 (5) J.数据报告 (5) 5.参考标准和教材............................................ (6) 6分析方法验证用于新药,仿制药,生物制品和DMF (6) A.非药典分析方法............................................. (6) B.验证特征 (7) C.药典分析方法............................................. .. (8) 7.统计分析和模型 (8) A.统计 (8) B.模型 (8) 8.生命周期管理分析程序 (9) A.重新验证 (9) B.分析方法的可比性研究............................................ . (10) 1.另一种分析方法............................................... .. (10) 2.分析方法转移的研究 (11) C.报告上市后变更已批准的新药,仿制药,或生物制品 (11) 9.美国FDA方法验证............................................... . (12) 10.参考文献
中国药典2015年版 9012生物样品定置分析方法验证 指导原则 一、范围 准确测定生物基质(如全血、血清、血浆、尿)中的药物浓度,对于药物和制剂研发非常重要。这些数据可被用于支持药品的安全性和有效性,或根据毒动学、药动学和生物等效性试验的结果做出关键性决定。因此,必须完整地验证和记录应用的生物分析方法,以获得可靠的结果。 本指导原则提供生物分析方法验证的要求,也涉及非临床或临床试验样品实际分析的基本要求,以及何时可以使用部分验证或交叉验证,来替代完整验证。本指导原则二和三主要针对色谱分析方法,四针对配体结合分析方法。 生物样品定量分析方法验证和试验样品分析应符合本指导原则的技术要求。应该在相应的生物样品分析中遵守 G L P原则或GC P原则。 二、生物分析方法验证 (一)分析方法的完整验证 分析方法验证的主要目的是,证明特定方法对于测定在某种生物基质中分析物浓度的可靠性。此外,方法验证应采用与试验样品相同的抗凝剂。一般应对每个新分析方法和新分析物进行完整验证。当难于获得相同的基质时,可以采用适当基质替代,但要说明理由。 一个生物分析方法的主要特征包括:选择性、定量下限、响应函数和校正范围(标准曲线性能)、准确度、精密度、基质效应、分析物在生物基质以及溶液中储存和处理全过程中的稳定性。 有时可能需要测定多个分析物。这可能涉及两种不同的药物,也可能涉及一个母体药物及其代谢物,或一个药物的对映体或异构体。在这些情况下,验证和分析的原则适用于所有涉及的分析物。 对照标准物质 在方法验证中,含有分析物对照标准物质的溶液将被加人到空白生物基质中。此外,色谱方法通常使用适当的内标。 应该从可追溯的来源获得对照标准物质。应该科学论证对照标准物质的适用性。分析证书应该确认对照标准物质的纯度,并提供储存条件、失效日期和批号。对于内标,只要能证明其适用性即可,例如显示该物质本身或其相关的任何杂质不产生干扰。 当在生物分析方法中使用质谱检测时,推荐尽可能使用稳定同位素标记的内标。它们必须具有足够高的同位素纯度,并且不发生同位素交换反应,以避免结果的偏差。 1.选择性 该分析方法应该能够区分目标分析物和内标与基质的内源性组分或样品中其他组分。应该使用至少6个受试者的适宜的空白基质来证明选择性(动物空白基质可以不同批次混 9012生物样品定量分析方法验证指导原则 合),它们被分别分析并评价干扰。当干扰组分的响应低于分析物定量下限响应的20%,并低于内标响应的5%时,通常即可以接受0 应该考察药物代谢物、经样品预处理生成的分解产物以及可能的同服药物引起干扰的程度。在适当情况下,也应该评价代谢物在分析过程中回复转化为母体分析物的可能性。 2.残留 应该在方法建立中考察残留并使之最小。残留可能不影响准确度和精密度。应通过在注射高浓度样品或校正标样后,注射空白样品来估计残留。高浓度样品之后在空白样品中的残留应不超过定量下限的20%,并且不超过内标的5%。如果残留不可避免,应考虑特殊措施,在方法验证时检验并在试验样品分析时应用这些措施,以确保不影响准确度和精密度。这可能包括在高浓度样品后注射空白样品,然后分析下一个试验样品。 3.定量下限 定量下限是能够被可靠定量的样品中分析物的最低浓度,具有可接受的准确度和精密度。定量下限是标准曲线的最低点,应适用于预期的浓度和试验目的。 4.标准曲线 应该在指定的浓度范围内评价仪器对分析物的响应,获得标准曲线。通过加人已知浓度的分析物(和内标)到空白基质中,制备各浓度的校正标样,其基质应该与目标试验样品基质相同。方法验证中研究的每种分析物和每一分析批,都应该有一条标准曲线。 在进行分析方法验证之前,最好应该了解预期的浓度范围。标准曲线范围应该尽量覆盖预期浓度范围,由定量下限和定量上限(校正标样的最髙浓度)来决定。该范围应该足够描述分析物的药动学。 应该使用至少6个校正浓度水平,不包括空白样品(不含分析物和内标的处理过的基质样品)和零浓度样品(含内标的处理过的基质〉。每个校正标样可以被多次处理和分析。 应该使用简单且足够描述仪器对分析物浓度响应的关系式。空白和零浓度样品结果不应参与计算标准曲线参数。 应该提交标准曲线参数,测定校正标样后回算得出的浓度应一并提交。在方法验证中,至少应该评价3条标准曲线。 校正标样回算的浓度一般应该在标示值的:t l5%以内,定量下限处应该在±20%内。至少75%校正标样,含最少6个有效浓度,应满足上述标准。如果某个校正标样结果不符合这些标准,应该拒绝这一标样,不含这一标样的标准曲线应被重新评价,包括回归分析^ 最好使用新鲜配制的样品建立标准曲线,但如果有稳定性数据支持,也可以使用预先配制并储存的校正标样。 5.准确度 分析方法的准确度描述该方法测得值与分析物标示浓度的接近程度,表示为:(测得值/真实值)x l00?^应采用加人已知 ? 363
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
抗药抗体免疫原性分析方法学验证指导原则 摘要: 几乎所有的生物制药产品都会引起一定的抗药抗体(anti-drug antibody,ADA)反应,抗药抗体反应可能会降低药物疗效或导致严重的不良反应。在人体内,抗药抗体通常不会引起明显的临床反应。但是对于某些治疗性蛋白质,抗药抗体反应能引起各种临床的不良反应,包括温和事件及严重不良事件。临床前研究表明,抗药抗体能对药物暴露、药物毒性作用、药物代谢动力学、药物效应动力学等造成影响。因此治疗性蛋白质的免疫原性引起了临床医生、药企及监管机构的注意。为了评估生物药物分子的免疫原性,以及将实验结果与临床事件联系起来,在临床前研究和临床研究中,很有必要开发可靠的能够有效评估抗药抗体反应的实验方法。这里方法学验证显得尤为重要,并且方法学验证是药物上市申请必不可少的。现行的监管文件对于免疫分析方法的验证的指导相当有限,特别是缺乏有关免疫原性分析方法的验证的指导。因此,本文对抗药抗体免疫分析方法的验证提供科学的建议。在现有的关于生物分析的规范性文件的基础上加入独特的性能验证。笔者建议采用实验和统计学的方法进行免疫分析的方法学验证。这些建议被视为最佳的例子,旨在促进整个医药行业形成一个更加统一的抗体检测方法。 1.简介: 生物制药产品包括氨基酸聚合物、碳水化合物或核酸,一般通过人细胞系、哺乳动物细胞或细菌进行表达,比常规的小分子药物更大(一般大于1~3KD)。由于以上特性,生物制药产品引起免疫反应的潜力更大。生物制药的免疫原性与产品的内在因素(种属特异性表位、外源性、糖基化程度、聚合或变性程度、杂质和制剂)、外在因素(给药途径、慢性或急性给药、药代动力学及内源性当量)、患者因素(自身免疫性疾病、免疫抑制、和替代疗法)相关。 抗药抗体反应可能会导致严重的临床症状,包括过敏、自身免疫和不同的药代动力学特征(例如,药物中和、生物分布异常和药物清除率增强等均可能会使
一、准确度 准确度系指采用该方法测定的结果与真实值或参考值接近的程度,一般用回收率(%)表示。准确度应在规定的范围内测定。 1.化学药含量测定方法的准确度 原料药采用对照品进行测定,或用本法所得结果与已知准确度的另一个方法测定的结果进行比较。制剂可在处方量空白辅料中,加入已知量被测物对照品进行测定。如不能得到制剂辅料的全部组分,可向待测制剂中加人已知量的被测物对照品进行测定,或用所建立方法的测定结果与已知准确度的另一种方法测定结果进行比较。准确度也可由所测定的精密度、线性和专属性推算出来。 2.化学药杂质定量测定的准确度 可向原料药或制剂处方量空白辅料中加人已知量杂质进行测定。如不能得到杂质或降解产物对照品,可用所建立方法测定的结果与另一成熟的方法进行比较,如药典标准方法或经过验证的方法。在不能测得杂质或降解产物的校正因子或不能测得对主成分的相对校正因子的情况下,可用不加校正因子的主成分自身对照法计算杂质含量。应明确表明单个杂质和杂质总量相当于主成分的重量比(%) 或面积比(% )。 3.中药化学成分测定方法的准确度 可用对照品进行加样回收率测定,即向已知被测成分含量的供试品中再精密加人一定量的被测成分对照品,依法测定。用实测值与供试品中含有量之差,除以加入对照品量计算回收率。在加样回收试验中须注意对照品的加人量与供试品中被测成分含有量之和必须在标准曲线线性范围之内;加入对照品的量要适当,过小则引起较大的相对误差,过大则干扰成分相对减少,真实性差。 回收率:%= (C - A ) /S X 100% 式中:A为供试品所含被测成分量;B 为加入对照品量; C 为实测值。 4.校正因子的准确度 对色谱方法而言,绝对(或定量)校正因子是指单位面积的色谱峰代表的待测物质的量。待测定物质与所选定的参照物质的绝对校正因子之比,即为相对校正因子。相对校正因子计算法常应用于化学药有关物质的测定、中药材及其复方制剂中多指标成分的测定。校正因子的表示方法很多,本指导原则中的校正因
美国FDA分析方法验证指南中英文对照 美国FDA分析方法验证指南中英文对 照 I. INTRODUCTION This 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。 This guidance is intended to assist applicants in assembling information, submitting samples, and presenting data to support 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), product license applications (PLAs), and supplements to these applications. 本指南旨在帮助申请者收集资料,递交样品并资料以支持分析方法。这些建议适 用于NDA,ANDA,BLA,PLA及其它们的补充中所涉及的原料药和制剂。 The principles also apply to drug substances and drug products covered in Type II drug master files (DMFs). If a different approach is chosen, the applicant is encouraged to discuss the matter in advance with
化学药物质量控制分析方法验证技术指导原则【】HGPH 5-1指导原则编号: 化学药物质量控制分析方法验证 技术指导原则 二??四年十一月 目录 一、概 述 ..................................................................... ............................................ 1 二、方法验证的一般原 则 ..................................................................... ................ 2 三、方法验证涉及到的三个主要方 面 (2) ,一,需要验证的检测项 目 ..................................................................... . (2) ,二,分析方 法 ..................................................................... .. (3) ,三,验证内 容 ..................................................................... .......................... 3 四、方法验证的具体内 容 ..................................................................... . (3)
,一,专属 性 ..................................................................... (3) 1、鉴别反 应 ..................................................................... (3) 2、杂质检 查 ..................................................................... (4) 3、含量测 定 ..................................................................... (4) ,二,线 性 ..................................................................... . (5) ,三,范 围 ..................................................................... . (5) 1、含量测 定 ..................................................................... (5) 2、制剂含量均匀度...................................................................... (5)
1 II. 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…………………………………………………………………………… 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. 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………………………………………………………………………… 15 A. 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…………………………………………… 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) XI. 方法……………………………………………………………………………… 20 A. 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……………………………………………………………………………………… 32 This 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。 This guidance is intended to assist applicants in assembling information, submitting samples, and presenting data to support 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), product license applications (PLAs), and supplements to these applications.
摘要:本文介绍了在对有关物质检查所用的分析方法进行方法学验证时,各项指标的可接受标准,以利于判断该分析方法的可行性。 关键词:有关物质检查分析方法验证可接收标准 药品中的有关物质泛指在药品的生产与储存过程中产生的工艺杂质或降解产物。由于这些有关物质的存在会影响到药品的纯度,进而可能会产生毒副作用,所以有关物质的控制是药品研发的一个重要方面,也是我们在药品审评中一直重点关注的要点之一。而要对有关物质进行严格的控制,就离不开专属性强、灵敏度高的分析方法,这就涉及到分析方法的筛选与验证。从现有的申报资料看,药品研发单位已基本上意识到分析方法验证的重要性,但是对验证时各具体指标是否可行尚没有一个明确的可接受标准,从而难以对验证结果进行评判。为解决这一问题,本文结合国外一些大型药品研发企业在此方面的要求,提出了在对有关物质检查方法进行验证时的可接受标准,供国内的药品研发单位在进行研究时参考。 1.准确度 该指标主要是通过回收率来反映。验证时一般要求根据有关物质的定量限与质量标准中该杂质的限度分别配制三个浓度的供试品溶液各三份(例如某杂质的限度为0.2%,则可分别配制该杂质浓度为0.1%、0.2%和0.3%的杂质溶液),分别测定其含量,将实测值与理论值比较,计算回收率,并计算9个回收率数据的相对标准差
(RSD)。 该项目的可接受的标准为:各浓度下的平均回收率均应在80%-120%之间,如杂质的浓度为定量限,则该浓度下的平均回收率可放宽至70%-130%,相对标准差应不大于10%。 2.线性 线性一般通过线性回归方程的形式来表示。具体的验证方法为:在定量限至一定的浓度范围内配制6份浓度不同的供试液,分别测定该杂质峰的面积,计算相应的含量。以含量为横坐标(X),峰面积为纵坐标(Y),进行线性回归分析。 可接受的标准为:回归线的相关系数(R)不得小于0.990,Y轴截距应在100%响应值的25%以内,响应因子的相对标准差应不大于10%。 3.精密度 1)重复性 配制6份杂质浓度(一般为0.1%)相同的供试品溶液,由一个分析人员在尽可能相同的条件下进行测试,所得6份供试液含量的相对标准差应不大于15%。 2)中间精密度 配制6份杂质浓度(一般为0.1%)相同的供试品溶液,分别由两个分析人员使用不同的仪器与试剂进行测试,所得12个含量数据的相对标准差应不大于20%。 4.专属性 可接受的标准为:空白对照应无干扰,该杂质峰与其它峰应能完
指导原则编号: 【H】G P H 5 -1 化学药物质量控制分析方法验证技术指导原则 (第二稿) 二OO四年三月十九日
目录 一、概述 (4) 二、方法验证的一般原则 (5) 三、方法验证涉及到的三个要素 (5) 1、需要验证的检测项目 (5) 2、分析方法 (6) 3、验证内容 (7) 四、方法验证的具体内容 (7) (一)专属性 (7) 1、鉴别反应 (7) 2、杂质检查 (7) 3、含量测定 (8) (二)线性 (8) (三)范围 (9) 1、含量测定 (9) 2、制剂含量均匀度 (9) 3、溶出度或释放度 (9) 4、杂质 (10) (四)准确度 (10) 1、含量测定 (10) 2、杂质定量试验 (10)
(五)精密度 (11) 1、重复性 (11) 2、中间精密度 (12) 3、重现性 (12) (六)检测限 (12) 1、直观法 (12) 2、信噪比法 (12) (七)定量限 (13) 1、直观法 (13) 2、信噪比法 (13) (八)耐用性 (14) (九)系统适用性试验 (14) 五、方法再验证 (15) 六、方法验证的评价 (16) 1、有关方法验证评价的一般考虑 (16) 2、方法验证的整体性和系统性 (16) 七、参考文献 (17) 八、起草说明 (18) 九、著者 (20)
质量控制分析方法验证的技术指导原则 一、概述 保证药品安全、有效、质量可控是药品研发和评价应遵循的基本原则,其中,对药品进行质量控制是保证药品安全有效的基础和前提。为达到控制质量的目的,需要多角度、多层面来控制产品质量,也就是说要对药物进行多个项目测试,来全面考察产品质量。一般地,每一测试项目可选用不同的分析方法,为使测试结果准确、可靠,必须对所采用的分析方法的科学性、准确性和可行性进行验证,以充分表明分析方法符合测试项目的目的和要求,这就是通常所说的对方法进行验证。 方法验证的目的是判断采用的分析方法是否科学、合理,是否能有效控制产品的内在质量。从本质上讲,方法验证就是根据检测项目的要求,预先设置一定的验证内容,并通过设计合理的试验来验证所采用的分析方法是否满足检测项目的要求。 方法验证在分析方法建立过程中具有重要的作用,并成为质量研究和质量控制的组成部分。只有经过验证的分析方法才能用于控制产品质量,因此方法验证是制订质量标准的基础。方法验证是药物研究过程中的重要内容。 本指导原则重点探讨方法验证的本质,将分析方法验证的要求与所要达到的目的结合起来进行系统和规律性的阐述,重点阐述如何科学合理地进行论证方案的设计。