Quality assurance in analytical chemistry [electronic resource] : applications in environmental, food, and materials analysis biotechnology, and medical engineering / Werner Funk, Vera Dammann, Gerhild Donnevert.
Language: English Original language: German Publication details: Weinheim : Wiley-VCH, c2007.Edition: 2nd edDescription: 1 online resource (xxiii, 277 p.) : illContent type:- text
- unmediated
- volume
- 9783527609307 (ebook) :
- Qualitatssicherung in der Analytischen Chemie. English
- 22
Item type | Home library | Class number | Status | Date due | Barcode | |
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E-book | Online Library Online Resources | VLeBooks (Browse shelf(Opens below)) | Available online |
Translated from the German.
Includes bibliographical references and index.
INTRODUCTION General differentiation of analytical processes Quality of analytical processes and results The system of analytical quality assurcane The 4-phase model of analytical quality assurance PHASE I: ESTABLISHING A NEW ANALYTICAL PROCESS Calibration of the fundamental analytical procedure Analyses at very low concentrations Validation of individual process steps and examination of matrix influences Advanced statistical methods Use of internal standards Preparing for routine analysis PHASE II: PREPARATIVE QUALITY ASSURANCE Selection of the analytical process Establishment of quality objectives to be adhered to in routine usage The control chart system Types of control charts and their applications PHASE III: ROUTINE QUALITY ASSURANCE Fundamental measured of internal quality assurance Measurement uncertainty Routine quality control Special quality problems in routine analysis Corrective measures Documentation and archiving PHASE IV: EXTERNAL ANALYTICAL QUALITY ASSURANCE Review, Audit Interlaboratory tests Effects of internal quality assurance on the results of interlaboratory tests
This best-selling title both in German and English is now enhanced by a new chapter on the important topical subject of measurement uncertainty, plus a CD-ROM with interactive examples in the form of Excel-spreadsheets. These allow readers to gain an even better comprehension of the statistical procedures for quality assurance while also incorporating their own data. Following an introduction, the text goes on to elucidate the 4-phase model of analytical quality assurance: establishing a new analytical process, preparative quality assurance, routine quality assurance and external analytical quality assurance. Besides updating the relevant references, the authors took great care to incorporate the latest international standards in the field.
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