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Method Validation in Pharmaceutical Analysis. A Guide to Best Practice. Edition No. 3

  • Book

  • 544 Pages
  • April 2025
  • John Wiley and Sons Ltd
  • ID: 5979366
New edition of the gold standard in the field of pharmaceutical analysis, extensively updated to include the new ICH Guidelines Q2(R2) and Q14

Following a holistic lifecycle approach to analytical procedures, Method Validation in Pharmaceutical Analysis provides hands-on information for readers involved in development, validation, and continued maintenance and evaluation of analytical procedures in pharmaceutical analysis.

This newly revised and updated Third Edition includes much-needed interpretation of the most recent ICH guidelines for validation and method development, as well as recent publications of the USP on Analytical Procedure Lifecycle Management and the activities of the British Pharmacopeia AQbD Working Party. It also addresses hot topics in the field such as data integrity and continuous monitoring of analytical performance.

Written by a team of highly qualified pharmaceutical professionals, Method Validation in Pharmaceutical Analysis includes information on relevant topics such as: - Data governance, data integrity, and data quality, as well as analytical instrument qualification and system validation lifecycle, and continued HPLC performance qualification - Analytical target profile, decision rules and fitness for intended use, and performance characteristics of analytical procedures - Method selection, development, and optimization, multivariate analytical procedures, and risk assessment and analytical control strategy - Implementation of compendial/pharmacopeia test procedures, transfer of analytical procedures, and a lifecycle approach to transfer of analytical procedures

Completely comprehensive in coverage, Method Validation in Pharmaceutical Analysis is an essential reference for scientists, researchers, and professionals in the pharmaceutical industry, analytical chemists, QC and QA staff, and public authorities tasked with relevant regulatory responsibilities.

Table of Contents

Preface xvii

1 Analytical Validation Within the Pharmaceutical Lifecycle 1
Phil Nethercote and Joachim Ermer

1.1 Development of Process and Analytical Validation Concepts 1

1.2 Alignments Between Process and Analytics: Three-Stage Approach 3

1.3 Predefined Objectives: ATP 5

1.4 Analytical Lifecycle 7

References 9

Part I Prerequisites 13

2 Data Governance, Data Integrity, and Data Quality 15
R.D. McDowall and C. Burgess

2.1 Terminology Used in This Chapter 15

2.2 Data Governance and Data Integrity Model 16

2.3 Interaction Between Levels 1 and 2 21

2.4 Overview of Data Integrity 21

2.5 ALCOA Criteria for Data Integrity 22

2.6 Understanding Level 3: Right Analysis for the Right Reportable Result 23

2.7 Second-Person Review 28

2.8 Summary 30

References 30

3 Analytical Instrument Qualification and System Validation Lifecycle 35
C. Burgess and R.D. McDowall

3.1 Data Integrity and Data Quality in a GMP Environment 35

3.2 AIQSV Approach as an Essential Part of the Analytical Procedure Lifecycle 37

3.3 USP General Chapter < 1058> 38

3.4 Enhancement of < 1058> and Harmonization of a Risk-Based Approach to Instruments and Systems with GAMP 43

3.5 Risk-Based Approaches to Analytical Instrument and System Qualification [3] 45

References 49

4 Continued HPLC Performance Qualification 51
Hermann Wätzig and Neil J. Lander

4.1 Introduction 51

4.2 Development of the Revised OQ/PQ Parameters List 53

4.3 Transfer of Modular Parameters into the Holistic Approach 55

4.4 OQ/PQ Data in Comparison with SST Data 58

4.5 Performance Monitoring: Trending Plots/Control Charts 59

4.6 General Procedure for cPQ 61

4.7 Example 65

4.8 Concluding Remarks 66

Acknowledgment 67

References 67

Part II Establishment of Measurement Requirements 69

5 Analytical Target Profile 71
Brent Harrington

5.1 Introduction 71

5.2 Components of an ATP 72

5.3 The Probability Statements 73

5.4 Metrics for Assessment 74

5.5 Summary 76

Acknowledgments 77

References 77

6 Decision Rules and Fitness for Intended Purpose 79
Jane Weitzel

6.1 Introduction 79

6.2 Defining the Fitness for Intended Purpose 80

6.3 Decision Rules 81

6.4 Overview of Process to Develop Requirements for Procedure Performance 82

6.5 Decision Rules and Compliance 82

6.6 Calculating Target Measurement Uncertainty 83

6.7 Types of Decision Rules 86

6.8 Target Measurement Uncertainty in the ATP 88

6.9 Bias and Uncertainty in a Procedure 89

6.10 ATP and Key Performance Indicators 89

6.11 Measurement Uncertainty 90

6.12 Example 94

6.13 Conclusion 95

References 96

7 Performance Characteristics of Analytical Procedures 97
Joachim Ermer

7.1 Precision 98

7.2 Accuracy 147

7.3 Specificity/Selectivity 167

7.4 Response (Calibration Model) 175

7.5 Detection and Quantitation Limits 193

Acknowledgments 205

References 206

Part III Method Design and Understanding 217

8 ICHQ14 Analytical Procedure Development 219
Phil Borman (GSK), Peter Hamilton (AZ), and Jean-François Dierick (GSK)

8.1 Introduction 219

8.2 The ATP 220

8.3 Connection Between Product and Analytical Procedure Understanding 222

8.4 Prior and Platform Knowledge 223

8.5 Robustness and Method Operable Design Region (MODR) 226

8.6 Link and Impact with Analytical Procedure Validation 227

8.7 Analytical Procedure Control Strategy and Ongoing Procedure Performance Verification 228

8.8 Lifecycle Strategy Including Enhanced Approaches in Submission 229

8.9 Summary 232

References 233

9 Method Selection, Development, and Optimization 237
Melissa Hanna-Brown, Roman Szucs, and Brent Harrington

9.1 Introduction 237

9.2 Method Selection 239

9.3 Method Development 240

9.4 Method Optimization 251

Acknowledgments 262

References 262

10 Multivariate Analytical Procedures 265
Wei Meng and Phil Borman

10.1 Introduction 265

10.2 Sampling and Data Quality 269

10.3 Development of Multivariate Models 271

10.4 Model Optimization and Validation 286

10.5 Model Maintenance and Lifecycle Management 289

10.6 Summary 293

Acknowledgments 293

References 293

11 Case Study: Robustness Investigations 301
Gerd Kleinschmidt and Birgit Niederhaus

11.1 Introduction 301

11.2 General Considerations in the Context of Robustness Testing 302

11.3 Examples of Computer-Assisted Robustness Studies 304

Acknowledgment 337

References 337

12 Risk Assessment and Analytical Procedure Control Strategy 343
Phil Nethercote

12.1 Background 343

12.2 Risk Management Process 343

12.3 ICH Q9 344

12.4 Using Risk Management to Develop a Control Strategy 345

12.5 Analytical Procedure Control Strategy 349

References 349

Part IV Method Performance Qualification 351

13 ICH Q2(R2): Validation of Analytical Procedures 353
Joachim Ermer

13.1 How to Read This Chapter 354

13.2 Introduction 354

13.3 General Considerations for Analytical Procedure Validation 354

13.4 Validation Tests, Methodology, and Evaluation 359

13.5 Annex 2: Illustrative Examples for Analytical Techniques 367

13.6 Conclusion 370

References 371

14 Case Study: Validation of a High-performance Liquid Chromatography (HPLC) Method for Identity, Assay, and Degradation of Products 373
Gerd Kleinschmidt and Birgit Niederhaus

14.1 Introduction 373

14.2 Experimental 375

14.3 Validation Summary 377

14.4 Validation Methodology 380

14.5 Conclusion 389

References 390

15 Case Study: Design and Qualification of a Delivered Dose Uniformity Procedure for a Pressurized Metered Dose Inhaler with a Focus on Sample Preparation 391
Andy Rignall

15.1 Introduction 391

15.2 Designing a DDU Procedure that will Meet an ATP 392

15.3 Performance Characteristics of the DDU Procedure 401

15.4 Qualification of the DDU Procedure 402

15.5 Summary of the Analytical Procedure Control Strategy for a DDU Procedure 402

Acknowledgments 403

References 403

16 Case Study: Validation of a Bioassay Method 405
Andrea Sobjak

16.1 Introduction 405

16.2 Material Considerations 407

16.3 Study Design 407

16.4 Specificity/Selectivity 410

16.5 Accuracy 411

16.6 Precision 412

16.7 Range 415

16.8 Robustness 416

16.9 Conclusion 417

Acknowledgments 417

References 418

17 Implementation of Compendial/Pharmacopeia Test Procedures 419
Pauline L. McGregor

17.1 Background of Pharmacopeia Procedures 419

17.2 How Pharmacopeia Methods Are Generated and Published 420

17.3 Challenges with Compendial Procedures and the Need to Verify 420

17.4 Using Pharmacopeia Procedures in a Laboratory for the First Time 421

17.5 Verification of Pharmacopeia Procedures 422

17.6 Integration of the Verification Process and the Lifecycle Approach 423

17.7 Implementation of a Pharmacopeia Procedure Using the Lifecycle Approach 424

17.8 Performance Qualification 431

17.9 Conclusion 432

References 432

18 Transfer of Analytical Procedures 435
Christophe Agut, Marion Berger, and Hugo Zuin

18.1 Transfer Process and Strategy 435

18.2 Comparative Testing 445

References 468

19 Lifecycle Approach to Transfer of Analytical Procedures 471
Joachim Ermer

19.1 Facilitation of Transfer by Risk Assessment 472

19.2 Facilitation of Transfer by the APCS 472

19.3 “Lean” Transfer Strategy 473

19.4 Conclusion 474

References 475

Part V Ongoing Method Performance Verification 477

20 Continuous Improvements, Adjustments, and Changes 479
Dr. Phil W. Nethercote

20.1 Drivers for Change 479

20.2 Control of Change in the Pharmaceutical Industry 480

20.3 Implementing a Change 483

References 484

21 Monitoring of Analytical Performance 487
Joachim Ermer

21.1 Sources of Performance Data and Information 488

21.2 Systematic Monitoring Program 493

21.3 Analytical Performance Evaluation Tools 495

21.4 Assessment of Analytical Performance 503

21.5 Conclusion 508

References 508

Index 511

Authors

Joachim Ermer Ermer Quality Consulting, Germany. Phil W. Nethercote UK.