Immunoassay
A Practical Guide
- 1st Edition - September 16, 1987
- Imprint: Academic Press
- Author: Bozzano G Luisa
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 1 6 7 6 3 5 - 3
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 1 3 7 8 2 - 9
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… Read more
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Request a sales quoteDuring 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.
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
- Edition: 1
- Published: September 16, 1987
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780121676353
- eBook ISBN: 9780323137829
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