Immunoassay

Immunoassay

A Practical Guide

1st Edition - September 16, 1987

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  • Author: Author Unknown
  • eBook ISBN: 9780323137829

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Description

During the last few years, immunoassay has gained tremendous popularity in clinical and research laboratories and has been applied to determine hormone, enzyme, protein, drug, and infectious agents. The aim of this book is to provide clinical laboratory personnel and students with an understanding of the principle of immunoassay and the production of reagents for immunoassay.

Table of Contents


  • Preface

    1. General Principle of Immunoassay

    I. Introduction

    II. Theoretical Basis of Immunoassay

    III. Optimization of Immunoassay

    IV. Heterogeneous Immunoassay Systems

    V. Homogeneous Immunoassay Systems

    References

    2. Production of Immunoassay Reagents

    I. Introduction

    II. Receptors or Binders

    III. Unlabeled Ligands—Calibrators

    IV. Labeled Ligands and Receptors

    V. Separation Techniques

    VI. Buffers

    References

    3. Practical Guide to Immunoassay Method Evaluation

    I. Introduction

    II. Protocol Outline

    III. Establishing Objectives and Preparation

    IV. Evaluation of Precision

    V. Standard Curves

    VI. Tracer

    VII. Sensitivity

    VIII. Evaluation of Accuracy

    IX. Antibody Characteristics

    X. Monitoring Reaction Conditions

    XI. Clinical Validation

    XII. Protocol Development: Summary

    References

    4. Clinical Validation of Immunoassays: A Well-Designed Approach to a Clinical Study

    I. Introduction

    II. Elements of a Well-Designed Study

    III. Choosing Decision Levels to Minimize Costs

    IV. Relation of New Tests to Existing Tests

    V. A Word about Normal Ranges

    VI. Summary

    VII. Illustrative Example: Apolipoprotein A-I

    Appendix: Preparation of ROC Curves

    References

    Selected Literature

    5. Data Reduction Techniques for Immunoassay

    I. Purpose of Chapter

    II. Introduction

    III. Interpolation Techniques of Data Reduction

    IV. Models and Statistical Approaches to Data Reduction

    V. Nonlinear Models in Immunoassay

    VI. Summary

    Appendix A: BASIC Program to Fit Four Parameter Model to Data by Nonlinear Least Squares

    Appendix B: BASIC Program for Point-to-Point Linear Interpolation

    References

    6. Immunoassays: Quality Control and Troubleshooting

    Part A: Quality Control: A Simple, Cost-Effective Approach

    I. Introduction

    II. Implementing a QC Program

    III. Selection of Appropriate Curve Fits for Immunoassay Data

    IV. Equipment

    V. Reagents

    VI. Assay Conditions

    VII. Technique

    VIII. Patient Samples

    IX. Conclusion

    Part B: Troubleshooting Immunoassays: Where the Practical and Theoretical Meet

    I. Introduction

    II. Parallelism

    III. Reciprocal Plot

    IV. Scatchard Analysis

    Index

Product details

  • Language: English
  • Copyright: © Academic Press 1987
  • Published: September 16, 1987
  • Imprint: Academic Press
  • eBook ISBN: 9780323137829

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