Description

Book Synopsis

The second edition defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. Clearly written and logically organized, it takes a generic approach applicable to any field of analysis. The authors begin with the theory behind quality control systems, then detail validation parameter measurements, the use of statistical tests, counting the margin of error, uncertainty estimation, traceability, reference materials, proficiency tests, and method validation. New chapters cover internal quality control and equivalence method, changes in the regulatory environment are reflected throughout, and many new examples have been added to the second edition.



Trade Review

"Quality Assurance and Quality Control in the Analytical Chemical Laboratory: A Practical Approach extends and improves with its special practical view the spectrum of existing QA/QC textbooks. It is well written, clearly organized, and characterized by many examples from daily analytical activities, and, therefore, good to understand... This monograph gives an excellent opportunity with its understandable style not only to understand terms and approach of QA/QC but also to enable a founded approach to concrete own calculations by numerous examples from real-world analytical chemistry."

- Analytical and Bioanalytical Chemistry Journal, Nov. 2018



Table of Contents

Preface

About the Authors

List of Abbreviations

Chapter 1 Basic Notions of Statistics

Chapter 2 Quality of Analytical Results

Chapter 3 Internal Quality Control

Chapter 4 Traceability

Chapter 5 Uncertainty

Chapter 6 Reference Materials

Chapter 7 Interlaboratory Comparisons

Chapter 8 Method Validation

Chapter 9 Method Equivalence

Appendix

Index

Quality Assurance and Quality Control in the Analytical Chemical Laboratory

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    A Paperback by Jacek Namiesnik, Jacek Namiesnik

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      View other formats and editions of Quality Assurance and Quality Control in the Analytical Chemical Laboratory by Jacek Namiesnik

      Publisher: CRC Press
      Publication Date: 6/30/2020 12:00:00 AM
      ISBN13: 9780367571825, 978-0367571825
      ISBN10: 036757182X

      Description

      Book Synopsis

      The second edition defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. Clearly written and logically organized, it takes a generic approach applicable to any field of analysis. The authors begin with the theory behind quality control systems, then detail validation parameter measurements, the use of statistical tests, counting the margin of error, uncertainty estimation, traceability, reference materials, proficiency tests, and method validation. New chapters cover internal quality control and equivalence method, changes in the regulatory environment are reflected throughout, and many new examples have been added to the second edition.



      Trade Review

      "Quality Assurance and Quality Control in the Analytical Chemical Laboratory: A Practical Approach extends and improves with its special practical view the spectrum of existing QA/QC textbooks. It is well written, clearly organized, and characterized by many examples from daily analytical activities, and, therefore, good to understand... This monograph gives an excellent opportunity with its understandable style not only to understand terms and approach of QA/QC but also to enable a founded approach to concrete own calculations by numerous examples from real-world analytical chemistry."

      - Analytical and Bioanalytical Chemistry Journal, Nov. 2018



      Table of Contents

      Preface

      About the Authors

      List of Abbreviations

      Chapter 1 Basic Notions of Statistics

      Chapter 2 Quality of Analytical Results

      Chapter 3 Internal Quality Control

      Chapter 4 Traceability

      Chapter 5 Uncertainty

      Chapter 6 Reference Materials

      Chapter 7 Interlaboratory Comparisons

      Chapter 8 Method Validation

      Chapter 9 Method Equivalence

      Appendix

      Index

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