分析科学におけるキャリブレーション:方法と手順<br>Calibration in Analytical Science : Methods and Procedures (1. Auflage. 2023. 384 S. 215 SW-Abb. 244 mm)

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分析科学におけるキャリブレーション:方法と手順
Calibration in Analytical Science : Methods and Procedures (1. Auflage. 2023. 384 S. 215 SW-Abb. 244 mm)

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  • 製本 Hardcover:ハードカバー版/ページ数 360 p.
  • 言語 ENG
  • 商品コード 9783527348466

Full Description

Calibration in Analytical Science Designed to help analytical chemists save time and money by selecting the best calibration method in a quality control, substance monitoring, or research setting

Univariate analytical calibration is a vital step in every chemical procedure that involves determining the identity or concentration of a particular substance. Depending on the type of instrument and measurement, analytical chemists need to follow different calibration strategies and protocols to ensure their instruments yield accurate readings.

Calibration in Analytical Science systematically classifies and describes a wide range of calibration methods and procedures based on mathematical and empirical models for use in qualitative and quantitative analysis. Focusing on the chemical aspects of analytical calibration, this much-needed reference uses a set of equipment-independent terms and definitions that are easily transferable to the calibration strategies of any analytical process. The theoretical basis for calibration of each analytical mode is described and applied to common analytical tasks of increasing levels of difficulty and complexity. Throughout the book, the author illustrates how to combine different calibration approaches to create new calibration strategies with extended capabilities.

Describes different calibration methods and procedures for determining the nature and quantity of sample components in different ways
Classifies various calibration methods in both qualitative and quantitative analysis
Demonstrates how the random and systematic errors of an analytical method can be minimized by the proper calibration strategy
Discusses current theoretical and methodological questions in calibration research
Highlights how calibration approaches can diagnose, evaluate, and eliminate analytical errors
Includes a concluding chapter on the contribution of calibration to the greening of analytical chemistry

Calibration in Analytical Science: Methods and Procedures is a must-have reference for analytical chemists working in academia and industry, chemists of various specialties involved in chemical analysis, and advanced undergraduate and graduate students taking courses in advanced analytical chemistry.

Contents

Preface ix

1 Calibration Fundamentals 1

1.1 Analytical Context 1

1.2 Principles of Analytical Calibration 2

1.3 Calibration Standards and Models 5

1.4 Calibration Procedures and Methods 7

1.5 Calibration in the Context of Measurement Errors 8

1.5.1 Uncontrolled Analytical Effects 9

1.5.2 Elimination and Compensation of Uncontrolled Effects 11

1.6 Calibration in Qualitative Analysis 14

1.7 Calibration in Quantitative Analysis 18

1.8 General Rules for Correct Calibration 22

References 24

2 "Calibration-Free" Analysis 25

2.1 Novel Approach 25

2.2 Empirical Calibration 26

2.3 Theoretical Calibration 30

2.3.1 Fixed Models 30

2.3.2 Flexible Models 36

References 45

3 Calibration Methods in Qualitative Analysis 47

3.1 Classification 47

3.2 External Calibration Methods 49

3.2.1 External Standard Method 49

3.2.2 Reference Sample Method 59

3.3 Internal Calibration Methods 71

3.3.1 Internal Standard Method 71

3.3.2 Indirect Method 75

3.4 Standard Addition Method 80

References 83

4 Introduction to Empirical Calibration in Quantitative Analysis 85

4.1 Classification 85

4.2 Formulation of Model Functions 86

4.3 Examination of Interference Effect 93

4.4 Mathematical Modeling of Real Function 98

References 100

5 Comparative Calibration Methods 103

5.1 External Calibration Methods 103

5.1.1 External Standard Method 103

5.1.1.1 Modified Procedures 110

5.1.2 Dilution Method 115

5.2 Internal Calibration Methods 125

5.2.1 Internal Standard Method 125

5.2.2 Indirect Method 133

References 141

6 Additive Calibration Methods 143

6.1 Basic Aspects 143

6.2 Standard Addition Method 144

6.2.1 Extrapolative Variant 144

6.2.1.1 Modified Procedures 155

6.2.2 Interpolative Variants 162

6.2.3 Indicative Variant 167

6.3 Titration 172

6.4 Isotope Dilution Method 180

6.4.1 Radiometric Isotope Dilution 182

6.4.2 Isotope Dilution Mass Spectrometry 189

6.4.2.1 Modified Procedures 197

References 199

7 Calibration in Nonequilibrium Conditions 203

7.1 Flow Injection Analysis 203

7.1.1 Manipulation Techniques 205

7.1.2 Gradient Technique 212

7.2 Kinetic Analysis 220

References 231

8 Complex Calibration Approaches 233

8.1 Extrapolative Methods 233

8.1.1 Extrapolative Indirect Method 234

8.1.2 Extrapolative Internal Standard Method 239

8.1.3 Extrapolative Dilution Method 244

8.2 Mixed Methods 252

8.3 Combined Methods 256

8.3.1 Integrated Calibration Methods 256

8.3.1.1 Simple Integrated Method 256

8.3.1.2 Complementary Dilution Method 261

8.3.2 Generalized Calibration Strategy 270

8.3.2.1 Versatile Flow Injection Calibration Module 276

8.3.3 Standard Dilution Analysis 280

References 286

9 Calibration Approaches for Detection and Examination of Interference Effects 289

9.1 Introduction 289

9.2 Simple Procedures for Detection and Examination of Interference Effects 290

9.3 Detection and Compensation of Additive Interference Effect 295

9.3.1 Interpolative Procedure 297

9.3.2 Extrapolative Procedure 301

9.3.3 Integrated Procedure 308

References 311

10 Calibration-Based Procedures for Correction of Preparative Effects 313

10.1 Introduction 313

10.2 Specific Procedures 314

10.3 Surrogate Recovery Method 316

10.3.1 Reliability of the Method 318

10.3.2 Interpretations of the Method 321

10.3.3 Recovery vs. Interference Effect 324

10.3.4 Recovery vs. Speciation Effect 329

References 333

11 Calibration-Related Applications of Experimental Plans 335

11.1 Introduction 335

11.2 Examination of Interference Effects 337

11.3 Modeling of Real Functions 342

11.4 Multicomponent Analysis 347

References 356

12 Final Remarks 359

References 365

Index 367

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