LEADER 05603nam 22006854a 450 001 9910142572403321 005 20170925012636.0 010 $a1-281-08789-0 010 $a9786611087890 010 $a3-527-60944-X 010 $a3-527-60930-X 035 $a(CKB)1000000000327285 035 $a(EBL)481303 035 $a(OCoLC)181086152 035 $a(SSID)ssj0000231057 035 $a(PQKBManifestationID)11194868 035 $a(PQKBTitleCode)TC0000231057 035 $a(PQKBWorkID)10198571 035 $a(PQKB)11053755 035 $a(MiAaPQ)EBC481303 035 $a(PPN)249608731 035 $a(EXLCZ)991000000000327285 100 $a20070906d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aQuality assurance in analytical chemistry$b[electronic resource] $eapplications in environmental, food, and materials analysis, biotechnology, and medical engineering /$fWerner Funk, Vera Dammann, Gerhild Donnevert 205 $a2nd ed. 210 $aWeinheim $cWiley-VCH$dc2007 215 $a1 online resource (303 p.) 300 $aTranslated from the German. 311 $a3-527-31114-9 320 $aIncludes bibliographical references (p. 209-217) and index. 327 $aQuality Assurance in Analytical Chemistry; Contents; Preface to the Second Edition; Preface to the First Edition; List of Symbols; 0 Introduction; 0.1 General Differentiation of Analytical Processes; 0.2 Quality of Analytical Processes and Results; 0.3 The System of Analytical Quality Assurance; 0.4 The Four-Phase Model of Analytical Quality Assurance; 1 Phase I: Establishing a New Analytical Procedure; 1.1 Introduction; 1.1.1 Objectives of Phase I; 1.1.2 When Are Characteristic Data Obtained?; 1.1.3 The Progression of Phase I; 1.1.4 Results of Phase I; Statistical Data 327 $a1.2 Calibration of the Fundamental Analytical Procedure (Fundamental Calibration)1.2.1 Establishment of an Analytical Range; 1.2.2 Preparation of Standard Samples; 1.2.3 Determination of the Calibration Function and Process Data; 1.2.3.1 Process Data for the Linear Calibration Function; 1.2.3.2 Process Data for the Second-Order Calibration Function; 1.2.3.3 Calculating Analytical Results with the Aid of the Calibration Function; 1.2.4 Verification of the Fundamental Calibration; 1.2.4.1 Verification of Linearity; 1.2.4.2 Verification of Precision; 1.3 Analyses at Very Low Concentrations 327 $a1.3.1 Decision Limit [34, 120, 132]1.3.2 Determining the Minimum Detectable Value [34, 120]; 1.3.2.1 Minimum Detectable Value, Determined Using the Distribution of Blank Values; 1.3.2.2 Minimum Detectable Value, Obtained Using the Calibration Function; 1.3.3 Limit of Quantification [34]; 1.3.4 Quick Estimation; 1.3.5 Estimation of the Decision Limit and Limit of Quantification Using the S/N Ratio; 1.4 Validation of Individual Process Steps and Examination of Matrix Influences; 1.4.1 Systematic Errors; 1.4.1.1 Constant Systematic Errors, Additive Deviations 327 $a1.4.1.2 Proportional Systematic Errors, Multiplicative Deviations1.4.2 Establishment and Assessment of the Recovery Function; 1.4.2.1 Prerequisites for the Interpretation of the Recovery Function; 1.4.2.2 Testing for Systematic Errors; 1.4.3 Application of the Recovery Function; 1.4.3.1 Checking Individual Process Steps; 1.4.3.2 Determination of the Recovery Function to Prove the Influence of a Matrix; 1.5 Additional Statistical Methods; 1.6 Use of Internal Standards [50]; 1.6.1 Definition, Purpose; 1.6.2 Conditions and Limitations of the Use of Internal Standards; 1.6.3 Procedure 327 $a1.7 Preparing for Routine Analysis1.7.1 Examination of the Time Dependency of Measured Values; 1.7.1.1 Comparison of the "Within Batch" Standard Deviation (s(w)) with the "Between Batches" Standard Deviation (s(b)) [215]; 1.7.1.2 Determining the Need for Daily Adjustment of Analytical Equipment; 1.7.1.3 The Trend Test; 1.8 Summary of the Results of Phase I (Process Development): Documentation; 2 Phase II: An Analytical Process Becomes Routine; Preparative Quality Assurance; 2.1 Introduction; 2.1.1 Objective of Phase II; 2.1.2 Execution of Phase II; 2.1.3 Progression of Phase II 327 $a2.1.4 Results of Phase II 330 $aThis 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 606 $aChemical laboratories$xQuality control 606 $aChemistry, Analytic$xQuality control 606 $aChemistry, Analytic$xTechnique 615 0$aChemical laboratories$xQuality control. 615 0$aChemistry, Analytic$xQuality control. 615 0$aChemistry, Analytic$xTechnique. 676 $a540 676 $a543.0685 700 $aFunk$b Werner$f1944-1996.$0884210 701 $aDammann$b Vera$0884211 701 $aDonnevert$b Gerhild$0884212 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910142572403321 996 $aQuality assurance in analytical chemistry$91974480 997 $aUNINA LEADER 01797oam 2200553 450 001 9910711672103321 005 20181206083903.0 035 $a(CKB)5470000002485338 035 $a(OCoLC)953211656$z(OCoLC)944376745 035 $a(OCoLC)995470000002485338 035 $a(EXLCZ)995470000002485338 100 $a20160707d1954 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecords of wells drilled for oil and gas in New Mexico /$fby G.H. 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