Quality assurance in analytical chemistry: applications in environmental, food, and materials analysis, biotechnology, and medical engineering
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| Format: | Book |
| Language: | English German |
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Weinheim
Wiley-VCH-Verl.
2007
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| Edition: | 2., completely rev. and enl. ed. |
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| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. 209 - 217 |
| Physical Description: | XXIII, 277 S. graph. Darst. 1 CD-ROM (12 cm) |
| ISBN: | 3527311149 |
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| 245 | 1 | 0 | |a Quality assurance in analytical chemistry |b applications in environmental, food, and materials analysis, biotechnology, and medical engineering |c Werner Funk ; Vera Dammann ; Gerhild Donnevert |
| 250 | |a 2., completely rev. and enl. ed. | ||
| 264 | 1 | |a Weinheim |b Wiley-VCH-Verl. |c 2007 | |
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| _version_ | 1804136196453957632 |
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| adam_text | Titel: Quality assurance in analytical chemistry
Autor: Funk, Werner
Jahr: 2007
Contents
Preface XIII
List of Symbols XVII
0 Introduction 1
0.1 General Differentiation of Analytical Processes 3
0.2 Quality of Analytical Processes and Results 4
0.3 The System of Analytical Quality Assurance 4
0.4 The Four-Phase Model of Analytical Quality Assurance 6
1 Phase I: Establishing a New Analytical Procedure 9
1.1 Introduction 9
1.1.1 Objectives of Phase I 9
1.1.2 When Are Characteristic Data Obtained? 9
1.1.3 The Progression of Phase I 10
1.1.4 Results of Phase I; Statistical Data 14
1.2 Calibration of the Fundamental Analytical Procedure 15
1.2.1 Establishment of an Analytical Range 16
1.2.2 Preparation of Standard Samples 16
1.2.3 Determination of the Calibration Function and Process Data 17
1.2.3.1 Process Data for the Linear Calibration Function 18
1.2.3.2 Process Data for the Second-Order Calibration Function 19
1.2.3.3 Calculating Analytical Results with the Aid of the Calibration
Function 21
1.2.4 Verification of the Fundamental Calibration 23
1.2.4.1 Verification of Linearity 23
1.2.4.2 Verification of Precision 25
1.3 Analyses at Very Low Concentrations 29
1.3.1 Decision Limit 32
1.3.2 Determining the Minimum Detectable Value 34
1.3.2.1 Minimum Detectable Value, Determined Using the Distribution
of Blank Values 34
Quality Assurance in Analytical Chemistry: Applications in Environmental, Food, and Materials Analysis,
Biotechnology, ond Medical Engineering, Second Edition. W. Funk, V, Dammann, G. Donnevert
Copyright r) 2007 WILEY-VCH Verlag GmbH Co. KGaA.Weinheim
ISBN: 978-3-527-31114-9
VIII I Contents
1.3.2.2 Minimum Detectable Value, Obtained Using the Calibration
Function 35
1.3.3 Limit of Quantification 35
1.3.4 Quick Estimation 36
1.3.5 Estimation of the Decision Limit and Limit of Quantification
Using the S/N Ratio 37
1.4 Validation of Individual Process Steps and Examination of Matrix
Influences 37
1.4.1 Systematic Errors 37
1.4.1.1 Constant Systematic Errors, Additive Deviations 37
1.4.1.2 Proportional Systematic Errors, Multiplicative Deviations 38
1.4.2 Establishment and Assessment of the Recovery Function 38
1.4.2.1 Prerequisites for the Interpretation of the Recovery Function 39
1.4.2.2 Testing for Systematic Errors 40
1.4.3 Application of the Recovery Function 41
1.4.3.1 Checking Individual Process Steps 41
1.4.3.2 Determination of the Recovery Function to Prove the Influence
of a Matrix 45
1.5 Additional Statistical Methods 46
1.6 Use of Internal Standards 46
1.6.1 Definition, Purpose 46
1.6.2 Conditions and Limitations of the Use of Internal Standards 47
1.6.3 Procedure 47
1.7 Preparing for Routine Analysis 49
1.7.1 Examination of the Time Dependency of Measured Values 49
1.7.1.1 Comparison of the Within Batch Standard Deviation (v)
with the Between Batches Standard Deviation (sb) 49
1.7.1.2 Determining the Need for Daily Adjustment of Analytical
Equipment 51
1.7.1.3 The Trend Test 51
1.8 Summary of the Results of Phase I (Process Development):
Documentation 54
2 Phase II: An Analytical Process Becomes Routine; Preparative Quality
Assurance 57
2.1 Introduction 57
2.1.1 Objectives of Phase II 57
2.1.2 Execution of Phase II 57
2.1.3 Progression of Phase II 57
2.1.4 Results of Phase II 58
2.2 Selection of the Analytical Procedure 59
2.2.1 Specificity of the Procedure 60
2.2.2 Selectivity of the Analytical Procedure 60
2.2.3 Working Range 60
2.2.4 Calibration Function, Sensitivity, and Precision of the Procedure 60
Contents IX
2.2.5 Minimum Detectable Value and Limit of Quantification 61
2.2.6 Risk of Systematic Error 61
2.2.7 Effort, Costs 61
2.3 The Training Phase of the Process 62
2.4 Establishment of Quality Objectives to be Adhered to in Routine
Usage 64
2.4.1 External Quality Requirements 65
2.4.2 Internal Quality Requirements 66
2.5 Control Samples for Internal Quality Assurance 66
2.5.1 Requirements of Control Samples 66
2.5.2 Types of Control Samples 67
2.5.2.1 Standard Solutions 67
2.5.2.2 Blank Samples 67
2.5.2.3 Natural Samples 67
2.5.2.4 Spiked Natural Samples 68
2.5.2.5 Synthetic Samples 68
2.5.2.6 Certified Reference Materials (CRMs) 68
2.5.3 Requirements for Producers of Control Materials 69
2.5.4 Applicability of Control Sample Types 69
2.6 The Control Chart System 70
2.6.1 Introduction: History of the Control Chart 70
2.6.2 Principle of a Control Chart 72
2.6.3 Average Run Length (ARL) and Evaluation of Control Charts 73
2.6.4 Derivation of the Average Run Length (ARL) 74
2.6.4.1 Examples of Theoretical Calculations 75
2.6.4.2 Analytical Example 76
2.6.5 Concept for the Preparation of Routine Quality Control 78
2.6.6 Evaluation of the Preliminary Period 80
2.6.6.1 Variance Analysis 80
2.6.6.2 Adherence to Required Quality Objectives 80
2.6.7 Types of Control Charts and Their Applications 80
2.6.7.1 Shewhart Charts 81
2.6.7.2 R-Chart (Range Control Chart) 89
2.6.7.3 Difference Chart 96
2.6.7.4 Standard Deviation Chart (s-Chart) 98
2.6.7.5 Target Value Charts 99
2.6.7.6 Cusum Chart 100
2.6.8 Summary of the Characterization of Control Charts 112
3 Phase 111: Routine Quality Assurance 115
3.1 Introduction 115
3.1.1 Setting the Objectives of Phase III 115
3.1.2 Execution of Phase III 115
3.1.3 Progression of Phase III 115
3.2 Fundamental Measures of Internal Quality Assurance 118
X j Contents
3.2.1 The Laboratory and Laboratory Management 218
3.2.2 Personnel 219
3.2.3 Outfitting and Equipment 119
3.2.3.1 Performance Monitoring, Calibration and Adjustment
of Measuring Equipment 119
3.2.3.2 Maintenance of Equipment 120
3.2.4 Materials 121
3.2.4.1 Certifying Sample Quality 121
3.2.4.2 Analysis-Related Materials 121
3.2.4.3 Control Samples for Routine Quality Control 122
3.2.5 Instituted Analytical Processes 122
3.2.6 Testing the Equivalency of Analytical Results 122
3.2.6.1 Testing the Equivalency for a Single Matrix 123
3.2.6.2 Testing the Equivalency in Different Matrices 126
3.2.7 Uncertainty of Measurements 130
3.2.7.1 New Terms According to the EURACHEM Guide 131
3.2.7.2 Overview of Common Procedures for the Determination
of Measurement Uncertainty 133
3.2.7.3 Indication of Measurement Uncertainty in Test Reports 142
3.2.7 A Interpretation of Measurement Uncertainty in the Context
of Limit Value Monitoring 143
3.2.7.5 Summary 144
3.2.8 Reporting Analytical Results 145
3.3 Routine Quality Control 145
3.3.1 Trueness Control 146
3.3.1.1 General 246
3.3.1.2 Blank Value Monitoring 246
3.3.1.3 it-Chart 148
3.3.1.4 Recovery Rate Control Chart 248
3.3.2 Precision Control 248
3.3.2.1 General 148
3.3.2.2 Precision Control Using an R-Chart 249
3.3.2.3 Securing Precision Using a Standard Deviation Control Chart 149
3.3.3 Revision of Quality Control Charts 150
3.3.4 Quality Assurance in the Case of Time-Consuming or Infrequent
Analyses 150
3-4 Special Quality Problems in Routine Analysis 251
3.4.1 Matrix Effects 251
3.5 Corrective Measures 154
3.5.1 Sources of Error in Analytical Laboratories 154
3.5.2 Systematic Troubleshooting 255
3.5.2.1 Analytical Errors That Can Be Detected Using Statistical Quality
Control Methods 262
3.5.2.2 Plausibility Checks 162
3.6 Documentation and Archiving 166
Contents XI
4 Phase IV: External Analytical Quality Assurance 169
4.1 Introduction 269
4.2 Audits 269
4.3 Interlaboratory (or Round Robin) Tests 270
4.3.1 Interlaboratory Tests for Process Standardization 171
4.3.2 Interlaboratory Tests as Proof of Laboratory Performance 171
4.3.3 Other Interlaboratory Tests 172
4.3.4 Planning and Execution of Interlaboratory (or Round Robin)
Tests 173
4.3.4.1 Quality Management System of the Provider of an Interlaboratory
Test 173
4.3.4.2 Planning the Interlaboratory Test 174
4.3.4.3 Interlaboratory Test Samples 275
4.3.5 Procedures for the Execution and Evaluation of Interlaboratory
Tests 176
4.3.5.1 Interlaboratory Test Programs According to ISO 5725-2 177
4.3.5.2 The Youden Method of Interlaboratory Tests 279
4.3.5.3 Interlaboratory Tests According to ISO Guide 43 188
4.4 Effects of Internal Quality Assurance on the Results of
Interlaboratory Tests 291
4.5 Conclusion 194
5
Definitions 195
5.1
Quality and Quality Management
195
5.2
Analytical Terms 2 97
5.3
Analytical Results 201
5.4
Deviation, Uncertainty 202
5.5
Materials, Samples 205
5.6
Statistical Tests 206
6
References
Appendix 1
A1
Sample Calculations 219
Al.l
Fundamental Calibration 229
A1.2
Linearity Tests 221
Al.2.1
Visual Linearity Test 221
Al.2.2
Second-Order Calibration Function
222
Al.2.3
Linearity Test: Goodness-of-Fit Test
224
Al.2.4
Variance Homogeneity Test 226
Al.2.5
Outlier Tests for Linear Calibration
228
Al.2.6
Securing the Lower Range Limit 230
Al.2.7
Decision Limit, Minimum Detectable Value, and Limit
of Quantification 231
Al.2.8
Recovery Function 236
XII | Contents
Al.2.9
Al.2.10
Al.2.11
A1.3
Al.3.1
Al.3.2
Al.3.3
Al.3.4
Al.3.5
Al.3.6
Al.3.7
Al.3.8
Al.3.9
Appendix 2
A2
A2.1
A2.2
A2.2
A2.3
A2.4
Appendix 3
A3
A3.1
A3.2
A3.3
Testing Analytical Results for Temporal Stability 239
Trend Test 242
Practice Phase: Checking the Analysis Quality Achieved Based
on the Process Standard Deviation 243
Phases II and III: Control Charts 244
Blank Value Control Chart 245
ic-Chart for Standard Solutions 246
Recovery Rate {RR) Control Chart 247
Verifying Precision by Means of R-Charts and s-Charts 249
Testing for Series-Internal Drift 251
RR-Control Chart by Addition of a Standard 253
Cusum Chart 254
Equivalency 258
Standard Addition 261
Statistical Tables 263
t-Table 263
F-Table (95 %) 264
F-Table (99%) 265
Grubbs Table 267
/-Table 268
Contents of the CD 269
Checklists 269
Instructions for Using the Calculation Examples 269
Statistical Table Values 270
Subject Index 271
|
| adam_txt |
Titel: Quality assurance in analytical chemistry
Autor: Funk, Werner
Jahr: 2007
Contents
Preface XIII
List of Symbols XVII
0 Introduction 1
0.1 General Differentiation of Analytical Processes 3
0.2 Quality of Analytical Processes and Results 4
0.3 The System of Analytical Quality Assurance 4
0.4 The Four-Phase Model of Analytical Quality Assurance 6
1 Phase I: Establishing a New Analytical Procedure 9
1.1 Introduction 9
1.1.1 Objectives of Phase I 9
1.1.2 When Are Characteristic Data Obtained? 9
1.1.3 The Progression of Phase I 10
1.1.4 Results of Phase I; Statistical Data 14
1.2 Calibration of the Fundamental Analytical Procedure 15
1.2.1 Establishment of an Analytical Range 16
1.2.2 Preparation of Standard Samples 16
1.2.3 Determination of the Calibration Function and Process Data 17
1.2.3.1 Process Data for the Linear Calibration Function 18
1.2.3.2 Process Data for the Second-Order Calibration Function 19
1.2.3.3 Calculating Analytical Results with the Aid of the Calibration
Function 21
1.2.4 Verification of the Fundamental Calibration 23
1.2.4.1 Verification of Linearity 23
1.2.4.2 Verification of Precision 25
1.3 Analyses at Very Low Concentrations 29
1.3.1 Decision Limit 32
1.3.2 Determining the Minimum Detectable Value 34
1.3.2.1 Minimum Detectable Value, Determined Using the Distribution
of Blank Values 34
Quality Assurance in Analytical Chemistry: Applications in Environmental, Food, and Materials Analysis,
Biotechnology, ond Medical Engineering, Second Edition. W. Funk, V, Dammann, G. Donnevert
Copyright r) 2007 WILEY-VCH Verlag GmbH Co. KGaA.Weinheim
ISBN: 978-3-527-31114-9
VIII I Contents
1.3.2.2 Minimum Detectable Value, Obtained Using the Calibration
Function 35
1.3.3 Limit of Quantification 35
1.3.4 Quick Estimation 36
1.3.5 Estimation of the Decision Limit and Limit of Quantification
Using the S/N Ratio 37
1.4 Validation of Individual Process Steps and Examination of Matrix
Influences 37
1.4.1 Systematic Errors 37
1.4.1.1 Constant Systematic Errors, Additive Deviations 37
1.4.1.2 Proportional Systematic Errors, Multiplicative Deviations 38
1.4.2 Establishment and Assessment of the Recovery Function 38
1.4.2.1 Prerequisites for the Interpretation of the Recovery Function 39
1.4.2.2 Testing for Systematic Errors 40
1.4.3 Application of the Recovery Function 41
1.4.3.1 Checking Individual Process Steps 41
1.4.3.2 Determination of the Recovery Function to Prove the Influence
of a Matrix 45
1.5 Additional Statistical Methods 46
1.6 Use of Internal Standards 46
1.6.1 Definition, Purpose 46
1.6.2 Conditions and Limitations of the Use of Internal Standards 47
1.6.3 Procedure 47
1.7 Preparing for Routine Analysis 49
1.7.1 Examination of the Time Dependency of Measured Values 49
1.7.1.1 Comparison of the "Within Batch" Standard Deviation (v)
with the "Between Batches" Standard Deviation (sb) 49
1.7.1.2 Determining the Need for Daily Adjustment of Analytical
Equipment 51
1.7.1.3 The Trend Test 51
1.8 Summary of the Results of Phase I (Process Development):
Documentation 54
2 Phase II: An Analytical Process Becomes Routine; Preparative Quality
Assurance 57
2.1 Introduction 57
2.1.1 Objectives of Phase II 57
2.1.2 Execution of Phase II 57
2.1.3 Progression of Phase II 57
2.1.4 Results of Phase II 58
2.2 Selection of the Analytical Procedure 59
2.2.1 Specificity of the Procedure 60
2.2.2 Selectivity of the Analytical Procedure 60
2.2.3 Working Range 60
2.2.4 Calibration Function, Sensitivity, and Precision of the Procedure 60
Contents IX
2.2.5 Minimum Detectable Value and Limit of Quantification 61
2.2.6 Risk of Systematic Error 61
2.2.7 Effort, Costs 61
2.3 The "Training" Phase of the Process 62
2.4 Establishment of Quality Objectives to be Adhered to in Routine
Usage 64
2.4.1 External Quality Requirements 65
2.4.2 Internal Quality Requirements 66
2.5 Control Samples for Internal Quality Assurance 66
2.5.1 Requirements of Control Samples 66
2.5.2 Types of Control Samples 67
2.5.2.1 Standard Solutions 67
2.5.2.2 Blank Samples 67
2.5.2.3 Natural Samples 67
2.5.2.4 Spiked Natural Samples 68
2.5.2.5 Synthetic Samples 68
2.5.2.6 Certified Reference Materials (CRMs) 68
2.5.3 Requirements for Producers of Control Materials 69
2.5.4 Applicability of Control Sample Types 69
2.6 The Control Chart System 70
2.6.1 Introduction: History of the Control Chart 70
2.6.2 Principle of a Control Chart 72
2.6.3 Average Run Length (ARL) and Evaluation of Control Charts 73
2.6.4 Derivation of the Average Run Length (ARL) 74
2.6.4.1 Examples of Theoretical Calculations 75
2.6.4.2 Analytical Example 76
2.6.5 Concept for the Preparation of Routine Quality Control 78
2.6.6 Evaluation of the Preliminary Period 80
2.6.6.1 Variance Analysis 80
2.6.6.2 Adherence to Required Quality Objectives 80
2.6.7 Types of Control Charts and Their Applications 80
2.6.7.1 Shewhart Charts 81
2.6.7.2 R-Chart (Range Control Chart) 89
2.6.7.3 Difference Chart 96
2.6.7.4 Standard Deviation Chart (s-Chart) 98
2.6.7.5 Target Value Charts 99
2.6.7.6 Cusum Chart 100
2.6.8 Summary of the Characterization of Control Charts 112
3 Phase 111: Routine Quality Assurance 115
3.1 Introduction 115
3.1.1 Setting the Objectives of Phase III 115
3.1.2 Execution of Phase III 115
3.1.3 Progression of Phase III 115
3.2 Fundamental Measures of Internal Quality Assurance 118
X j Contents
3.2.1 The Laboratory and Laboratory Management 218
3.2.2 Personnel 219
3.2.3 Outfitting and Equipment 119
3.2.3.1 Performance Monitoring, Calibration and Adjustment
of Measuring Equipment 119
3.2.3.2 Maintenance of Equipment 120
3.2.4 Materials 121
3.2.4.1 Certifying Sample Quality 121
3.2.4.2 Analysis-Related Materials 121
3.2.4.3 Control Samples for Routine Quality Control 122
3.2.5 Instituted Analytical Processes 122
3.2.6 Testing the Equivalency of Analytical Results 122
3.2.6.1 Testing the Equivalency for a Single Matrix 123
3.2.6.2 Testing the Equivalency in Different Matrices 126
3.2.7 Uncertainty of Measurements 130
3.2.7.1 New Terms According to the EURACHEM Guide 131
3.2.7.2 Overview of Common Procedures for the Determination
of Measurement Uncertainty 133
3.2.7.3 Indication of Measurement Uncertainty in Test Reports 142
3.2.7 A Interpretation of Measurement Uncertainty in the Context
of Limit Value Monitoring 143
3.2.7.5 Summary 144
3.2.8 Reporting Analytical Results 145
3.3 Routine Quality Control 145
3.3.1 Trueness Control 146
3.3.1.1 General 246
3.3.1.2 Blank Value Monitoring 246
3.3.1.3 it-Chart 148
3.3.1.4 Recovery Rate Control Chart 248
3.3.2 Precision Control 248
3.3.2.1 General 148
3.3.2.2 Precision Control Using an R-Chart 249
3.3.2.3 Securing Precision Using a Standard Deviation Control Chart 149
3.3.3 Revision of Quality Control Charts 150
3.3.4 Quality Assurance in the Case of Time-Consuming or Infrequent
Analyses 150
3-4 Special Quality Problems in Routine Analysis 251
3.4.1 Matrix Effects 251
3.5 Corrective Measures 154
3.5.1 Sources of Error in Analytical Laboratories 154
3.5.2 Systematic Troubleshooting 255
3.5.2.1 Analytical Errors That Can Be Detected Using Statistical Quality
Control Methods 262
3.5.2.2 Plausibility Checks 162
3.6 Documentation and Archiving 166
Contents XI
4 Phase IV: External Analytical Quality Assurance 169
4.1 Introduction 269
4.2 Audits 269
4.3 Interlaboratory (or Round Robin) Tests 270
4.3.1 Interlaboratory Tests for Process Standardization 171
4.3.2 Interlaboratory Tests as Proof of Laboratory Performance 171
4.3.3 Other Interlaboratory Tests 172
4.3.4 Planning and Execution of Interlaboratory (or Round Robin)
Tests 173
4.3.4.1 Quality Management System of the Provider of an Interlaboratory
Test 173
4.3.4.2 Planning the Interlaboratory Test 174
4.3.4.3 Interlaboratory Test Samples 275
4.3.5 Procedures for the Execution and Evaluation of Interlaboratory
Tests 176
4.3.5.1 Interlaboratory Test Programs According to ISO 5725-2 177
4.3.5.2 The Youden Method of Interlaboratory Tests 279
4.3.5.3 Interlaboratory Tests According to ISO Guide 43 188
4.4 Effects of Internal Quality Assurance on the Results of
Interlaboratory Tests 291
4.5 Conclusion 194
5
Definitions 195
5.1
Quality and Quality Management
195
5.2
Analytical Terms 2 97
5.3
Analytical Results 201
5.4
Deviation, Uncertainty 202
5.5
Materials, Samples 205
5.6
Statistical Tests 206
6
References
Appendix 1
A1
Sample Calculations 219
Al.l
Fundamental Calibration 229
A1.2
Linearity Tests 221
Al.2.1
Visual Linearity Test 221
Al.2.2
Second-Order Calibration Function
222
Al.2.3
Linearity Test: Goodness-of-Fit Test
224
Al.2.4
Variance Homogeneity Test 226
Al.2.5
Outlier Tests for Linear Calibration
228
Al.2.6
Securing the Lower Range Limit 230
Al.2.7
Decision Limit, Minimum Detectable Value, and Limit
of Quantification 231
Al.2.8
Recovery Function 236
XII | Contents
Al.2.9
Al.2.10
Al.2.11
A1.3
Al.3.1
Al.3.2
Al.3.3
Al.3.4
Al.3.5
Al.3.6
Al.3.7
Al.3.8
Al.3.9
Appendix 2
A2
A2.1
A2.2
A2.2
A2.3
A2.4
Appendix 3
A3
A3.1
A3.2
A3.3
Testing Analytical Results for Temporal Stability 239
Trend Test 242
Practice Phase: Checking the Analysis Quality Achieved Based
on the Process Standard Deviation 243
Phases II and III: Control Charts 244
Blank Value Control Chart 245
ic-Chart for Standard Solutions 246
Recovery Rate {RR) Control Chart 247
Verifying Precision by Means of R-Charts and s-Charts 249
Testing for Series-Internal Drift 251
RR-Control Chart by Addition of a Standard 253
Cusum Chart 254
Equivalency 258
Standard Addition 261
Statistical Tables 263
t-Table 263
F-Table (95 %) 264
F-Table (99%) 265
Grubbs Table 267
/-Table 268
Contents of the CD 269
Checklists 269
Instructions for Using the Calculation Examples 269
Statistical Table Values 270
Subject Index 271 |
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| author | Funk, Werner Dammann, Vera Donnevert, Gerhild |
| author_facet | Funk, Werner Dammann, Vera Donnevert, Gerhild |
| author_role | aut aut aut |
| author_sort | Funk, Werner |
| author_variant | w f wf v d vd g d gd |
| building | Verbundindex |
| bvnumber | BV022215308 |
| callnumber-first | Q - Science |
| callnumber-label | QD75 |
| callnumber-raw | QD75.4.Q34 |
| callnumber-search | QD75.4.Q34 |
| callnumber-sort | QD 275.4 Q34 |
| callnumber-subject | QD - Chemistry |
| classification_rvk | VG 5000 |
| ctrlnum | (OCoLC)77255948 (DE-599)BVBBV022215308 |
| dewey-full | 543.0685 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 543 - Analytical chemistry |
| dewey-raw | 543.0685 |
| dewey-search | 543.0685 |
| dewey-sort | 3543.0685 |
| dewey-tens | 540 - Chemistry and allied sciences |
| discipline | Chemie / Pharmazie |
| discipline_str_mv | Chemie / Pharmazie |
| edition | 2., completely rev. and enl. ed. |
| format | Book |
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| illustrated | Illustrated |
| index_date | 2024-07-02T16:27:07Z |
| indexdate | 2024-07-09T20:52:33Z |
| institution | BVB |
| isbn | 3527311149 |
| language | English German |
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| physical | XXIII, 277 S. graph. Darst. 1 CD-ROM (12 cm) |
| publishDate | 2007 |
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| publisher | Wiley-VCH-Verl. |
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| spelling | Funk, Werner Verfasser aut Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering Werner Funk ; Vera Dammann ; Gerhild Donnevert 2., completely rev. and enl. ed. Weinheim Wiley-VCH-Verl. 2007 XXIII, 277 S. graph. Darst. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 209 - 217 Chemical laboratories Quality control Chemistry, Analytic Quality control Chemistry, Analytic Technique Analytische Chemie (DE-588)4129906-1 gnd rswk-swf Chemische Analyse (DE-588)4009840-0 gnd rswk-swf Qualitätssicherung (DE-588)4126457-5 gnd rswk-swf Umweltanalytik (DE-588)4282985-9 gnd rswk-swf Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Labortechnik (DE-588)4123602-6 gnd rswk-swf Analytische Chemie (DE-588)4129906-1 s Labortechnik (DE-588)4123602-6 s Qualitätssicherung (DE-588)4126457-5 s DE-604 Umweltanalytik (DE-588)4282985-9 s Qualitätskontrolle (DE-588)4047968-7 s 1\p DE-604 Chemische Analyse (DE-588)4009840-0 s 2\p DE-604 3\p DE-604 Dammann, Vera Verfasser aut Donnevert, Gerhild Verfasser aut text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2774579&prov=M&dok_var=1&dok_ext=htm Inhaltstext HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015426611&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Funk, Werner Dammann, Vera Donnevert, Gerhild Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering Chemical laboratories Quality control Chemistry, Analytic Quality control Chemistry, Analytic Technique Analytische Chemie (DE-588)4129906-1 gnd Chemische Analyse (DE-588)4009840-0 gnd Qualitätssicherung (DE-588)4126457-5 gnd Umweltanalytik (DE-588)4282985-9 gnd Qualitätskontrolle (DE-588)4047968-7 gnd Labortechnik (DE-588)4123602-6 gnd |
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| title | Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering |
| title_auth | Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering |
| title_exact_search | Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering |
| title_exact_search_txtP | Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering |
| title_full | Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering Werner Funk ; Vera Dammann ; Gerhild Donnevert |
| title_fullStr | Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering Werner Funk ; Vera Dammann ; Gerhild Donnevert |
| title_full_unstemmed | Quality assurance in analytical chemistry applications in environmental, food, and materials analysis, biotechnology, and medical engineering Werner Funk ; Vera Dammann ; Gerhild Donnevert |
| title_short | Quality assurance in analytical chemistry |
| title_sort | quality assurance in analytical chemistry applications in environmental food and materials analysis biotechnology and medical engineering |
| title_sub | applications in environmental, food, and materials analysis, biotechnology, and medical engineering |
| topic | Chemical laboratories Quality control Chemistry, Analytic Quality control Chemistry, Analytic Technique Analytische Chemie (DE-588)4129906-1 gnd Chemische Analyse (DE-588)4009840-0 gnd Qualitätssicherung (DE-588)4126457-5 gnd Umweltanalytik (DE-588)4282985-9 gnd Qualitätskontrolle (DE-588)4047968-7 gnd Labortechnik (DE-588)4123602-6 gnd |
| topic_facet | Chemical laboratories Quality control Chemistry, Analytic Quality control Chemistry, Analytic Technique Analytische Chemie Chemische Analyse Qualitätssicherung Umweltanalytik Qualitätskontrolle Labortechnik |
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