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 Book
 xv, 657 pages : illustrations ; 26 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 1. An approach to modeling chromatographic processes 2. Linear chromatography: the Russian Lego 3. Nonlinear chromatography  equilibrium theory 4. Fluidsolid phase equilibria 5. Mass transfer 6. Hydrodynamics 7. Simulating chromatographic columns 8. Countercurrent systems 9. Presentation of chromatographic modes and their optimization 10. Addressing industrial problems 11. Conclusion.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 1. An approach to modeling chromatographic processes 2. Linear chromatography: the Russian Lego 3. Nonlinear chromatography  equilibrium theory 4. Fluidsolid phase equilibria 5. Mass transfer 6. Hydrodynamics 7. Simulating chromatographic columns 8. Countercurrent systems 9. Presentation of chromatographic modes and their optimization 10. Addressing industrial problems 11. Conclusion.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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QD79 .C45 N53 2015  Unknown 
2. Analytical chemistry [2014]
 Book
 xxii, 826 pages : illustrations ; 29 cm
Summary
The 7 th Edition of Gary Christian's Analytical Chemistryfocuses on more indepth coverage and information aboutQuantitative Analysis (aka Analytical Chemistry) and relatedfields. The content builds upon previous editions with moreenhanced content that deals with principles and techniques ofquantitative analysis with more examples of analytical techniquesdrawn from areas such as clinical chemistry, life sciences, air andwater pollution, and industrial analyses.
(source: Nielsen Book Data)
(source: Nielsen Book Data)
The 7 th Edition of Gary Christian's Analytical Chemistryfocuses on more indepth coverage and information aboutQuantitative Analysis (aka Analytical Chemistry) and relatedfields. The content builds upon previous editions with moreenhanced content that deals with principles and techniques ofquantitative analysis with more examples of analytical techniquesdrawn from areas such as clinical chemistry, life sciences, air andwater pollution, and industrial analyses.
(source: Nielsen Book Data)
(source: Nielsen Book Data)
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QD101.2 .C57 2014  Unknown 
3. Analytical chemistry for technicians [2014]
 Book
 xxix, 507 pages : illustrations ; 26 cm
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 Introduction to Analytical Science Sampling and Sample Preparation Gravimetric Analysis Introduction to Titrimetric Analysis Applications of Titrimetric Analysis Introduction to Instrumental Analysis Introduction to Spectrochemical Methods UVVis and IR Molecular Spectrometry Atomic Spectroscopy Introduction to Chromatography Gas Chromatography HighPerformance Liquid Chromatography and Electrophoresis Mass Spectrometry Electroanalytical Methods Miscellaneous Instrumental Techniques Appendix 1: Formulas for Solution Concentration and Preparation Calculations Appendix 2: The Language of Quality Assurance and Good Laboratory Practice (GLP) Laws: A Glossary Appendix 3: Significant Figure Rules Appendix 4: Answers to Questions and Problems Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Introduction to Analytical Science Sampling and Sample Preparation Gravimetric Analysis Introduction to Titrimetric Analysis Applications of Titrimetric Analysis Introduction to Instrumental Analysis Introduction to Spectrochemical Methods UVVis and IR Molecular Spectrometry Atomic Spectroscopy Introduction to Chromatography Gas Chromatography HighPerformance Liquid Chromatography and Electrophoresis Mass Spectrometry Electroanalytical Methods Miscellaneous Instrumental Techniques Appendix 1: Formulas for Solution Concentration and Preparation Calculations Appendix 2: The Language of Quality Assurance and Good Laboratory Practice (GLP) Laws: A Glossary Appendix 3: Significant Figure Rules Appendix 4: Answers to Questions and Problems Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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QD75.22 .K445 2014  Unknown 
 Book
 viii, 461 pages : illustrations (black and white) ; 28 cm
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 1. Excel Basics. 2. Basic Statistical Analysis with Excel. 3. Statistical Tests with Excel. 4. LeastSquares and Calibration Methods. 5. Equilibrium, Activity and Solving Equations. 6. The Systematic Approach to Equilibria: Solving Many Equations. 7. Neutralization Titrations and Graphical Representations. 8. Polyfunctional Acids and Bases. 9. Complexometric and Precipitation Titrations. 10. Potentiometry and Redox Titrations. 11. Dynamic Electrochemistry. 12. Spectrochemical Methods. 13. Kinetic Methods. 14. Chromatography. 15. Electrophoresis and Other Separation Methods. 16. Data Processing with Excel.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 1. Excel Basics. 2. Basic Statistical Analysis with Excel. 3. Statistical Tests with Excel. 4. LeastSquares and Calibration Methods. 5. Equilibrium, Activity and Solving Equations. 6. The Systematic Approach to Equilibria: Solving Many Equations. 7. Neutralization Titrations and Graphical Representations. 8. Polyfunctional Acids and Bases. 9. Complexometric and Precipitation Titrations. 10. Potentiometry and Redox Titrations. 11. Dynamic Electrochemistry. 12. Spectrochemical Methods. 13. Kinetic Methods. 14. Chromatography. 15. Electrophoresis and Other Separation Methods. 16. Data Processing with Excel.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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QD75.4 .E4 C76 2014  Unknown 
5. Instrumental methods of analysis [2012]
 Book
 xx, 555 p. : ill. ; 24 cm.
Summary
Instrumental Methods of Analysis is a textbook designed to introduce various analytical and chemical methods, their underlying principles and applications to the undergraduate engineering students of biotechnology and chemical engineering. This book would also be of interest to students who pursue their B. Sc / M. Sc degree programs in biotechnology and chemistry. The book starts with a discussion on fundamentals of analytical chemistry, followed by data handling and statistical analysis. Wet chemical methods form the third chapter, where all the conventional titrimetric and gravimetric analysis is dealt with. It then moves onto discuss topics such as the microscopy, optical methods, various spectroscopic methods, Xray methods, chromatographic methods, electrophoresis, and bulk separation methods. The last few chapters discuss electroanalytical methods, thermal, radioanalytical and finally the surface analytical methods. Illustrated with block diagrams throughout the text, the book provides review questions, and numerical examples in all relevant chapters.
(source: Nielsen Book Data)
(source: Nielsen Book Data)
Instrumental Methods of Analysis is a textbook designed to introduce various analytical and chemical methods, their underlying principles and applications to the undergraduate engineering students of biotechnology and chemical engineering. This book would also be of interest to students who pursue their B. Sc / M. Sc degree programs in biotechnology and chemistry. The book starts with a discussion on fundamentals of analytical chemistry, followed by data handling and statistical analysis. Wet chemical methods form the third chapter, where all the conventional titrimetric and gravimetric analysis is dealt with. It then moves onto discuss topics such as the microscopy, optical methods, various spectroscopic methods, Xray methods, chromatographic methods, electrophoresis, and bulk separation methods. The last few chapters discuss electroanalytical methods, thermal, radioanalytical and finally the surface analytical methods. Illustrated with block diagrams throughout the text, the book provides review questions, and numerical examples in all relevant chapters.
(source: Nielsen Book Data)
(source: Nielsen Book Data)
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QD75.22 .S624 2012  Unknown 
 Book
 xvi, 696 p., 12 p. of plates : ill. (some col.) ; 29 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 THE BASIC TOOLS OF ANALYTICAL CHEMISTRY Chapter 1   An Overview of Analytical Chemistry Chapter 2   Good Laboratory Practices Chapter 3   Mass and Volume Measurements Chapter 4   Making Decisions with Data Chapter 5   Characterization & Selection of Analytical Methods CHEMICAL REACTIONS AND EQUILIBRIA Chapter 6   Chemical Activity & Chemical Equilibrium Chapter 7   Chemical Solubility & Precipitation Chapter 8   AcidBase Reactions Chapter 9   Complex Formation Chapter 10   OxidationReduction Reactions CLASSICAL METHODS OF CHEMICAL ANALYSIS Chapter 11   Gravimetric Methods Chapter 12   AcidBase Titrations Chapter 13   Complexometric & Precipitation Titrations ELECTROCHEMICAL METHODS Chapter 14   An Introduction to Electroanalytical Chemistry Chapter 15   Redox Titrations Chapter 16   Coulometry, Voltammetry & Related Methods SPECTROPHOTOMETRIC METHODS OF ANALYSIS Chapter 17   An Introduction to Spectroscopy Chapter 18   Molecular Spectroscopy Chapter 19   Atomic Spectroscopy ANALYTICAL SEPARATIONS Chapter 20   An Introduction to Chemical Separations Chapter 21   Gas Chromatography Chapter 22   Liquid Chromatography Chapter 23   Electrophoresis APPENDICES Appendix A   Supplemental Information & Derivation of Key Equations Appendix B   Physical & Chemical Constants Appendix C   Using Spreadsheets for Chemical Analysis GLOSSARY INDEX .
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 THE BASIC TOOLS OF ANALYTICAL CHEMISTRY Chapter 1   An Overview of Analytical Chemistry Chapter 2   Good Laboratory Practices Chapter 3   Mass and Volume Measurements Chapter 4   Making Decisions with Data Chapter 5   Characterization & Selection of Analytical Methods CHEMICAL REACTIONS AND EQUILIBRIA Chapter 6   Chemical Activity & Chemical Equilibrium Chapter 7   Chemical Solubility & Precipitation Chapter 8   AcidBase Reactions Chapter 9   Complex Formation Chapter 10   OxidationReduction Reactions CLASSICAL METHODS OF CHEMICAL ANALYSIS Chapter 11   Gravimetric Methods Chapter 12   AcidBase Titrations Chapter 13   Complexometric & Precipitation Titrations ELECTROCHEMICAL METHODS Chapter 14   An Introduction to Electroanalytical Chemistry Chapter 15   Redox Titrations Chapter 16   Coulometry, Voltammetry & Related Methods SPECTROPHOTOMETRIC METHODS OF ANALYSIS Chapter 17   An Introduction to Spectroscopy Chapter 18   Molecular Spectroscopy Chapter 19   Atomic Spectroscopy ANALYTICAL SEPARATIONS Chapter 20   An Introduction to Chemical Separations Chapter 21   Gas Chromatography Chapter 22   Liquid Chromatography Chapter 23   Electrophoresis APPENDICES Appendix A   Supplemental Information & Derivation of Key Equations Appendix B   Physical & Chemical Constants Appendix C   Using Spreadsheets for Chemical Analysis GLOSSARY INDEX .
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

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QD271.7 .H34 2011  Unknown 
QD271.7 .H34 2011  Unknown 
 Book
 xviii, 869 p. : ill. ; 27 cm.
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

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QD78 .B78 2011  Unknown 
8. Green analytical chemistry [2010]
 Book
 xii, 319 p. : ill. ; 25 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 Chapter 1: Introduction to green chemistry Chapter 2: Concepts and trends in green analytical chemistry Chapter 3: "Greening" sample preparation Chapter 4: Green instrumental analysis Chapter 5: Separation methods in analytical chemistry Chapter 6: Greening analytical chemistry by improving signal acquisition and processing Chapter 7: Conclusions.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Chapter 1: Introduction to green chemistry Chapter 2: Concepts and trends in green analytical chemistry Chapter 3: "Greening" sample preparation Chapter 4: Green instrumental analysis Chapter 5: Separation methods in analytical chemistry Chapter 6: Greening analytical chemistry by improving signal acquisition and processing Chapter 7: Conclusions.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD75.22 .K64 2010  Unknown 
 Book
 xvi, 278 p. : ill. (some col.) ; 25 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 1. Introduction 1.1 Analytical problems 1.2 Errors in qunatitative analysis 1.3 Types of error 1.4 Random and systematic errors in titrimetric analysis 1.5 Handling systematic errors 1.6 Planning and design of experiments 1.7 Calculators and computers in statistical calculations 2. Statistics of Repeated Measurements 2.1 Mean and standard deviation 2.2 The distribution of repeated measurements 2.3 Lognormal distribution 2.4 Definition of a 'sample' 2.5 The sampling distribution of the mean 2.6 Confidence limits of the mean for large samples 2.7 Confidence limits of the mean for small samples 2.8 Presentation of results 2.9 Other uses of confidence limits 2.10 Confidence limits of the geometric mean for a lognormal distribution 2.11 Propagation of random errors 2.12 Propagation of systematic errors 3. Significance Tests 3.1 Introduction 3.2 Comparison of an experimental mean with a known value 3.3 Comparison of two experimental means 3.4 Paired ttest 3.5 Onesided and twosided tests 3.6 Ftest for the comparison of standard deviations 3.7 Outliers 3.8 Analysis of variance 3.9 Comparison of several means 3.10 The arithmetic of ANOVA calculations 3.11 The chisquared test 3.12 Testing for normality of distribution 3.13 Conclusions from significance tests 3.14 Bayesian Statistics 4. The Quality of Analytical Measurements 4.1 Introduction 4.2 Sampling 4.3 Separation and estimation of variances using ANOVA 4.4 Sampling strategy 4.5 Quality control methods  Introduction 4.6 Stewhart charts for mean values 4.7 Stewhart charts for ranges 4.8 Establishing the process capability 4.9 Average run length: cusum charts 4.10 Zone control charts (Jcharts) 4.11 Proficiency testing schemes 4.12 Method performance studies (collaborative trials) 4.13 Uncertainty 4.14 Acceptable sampling 4.15 Method validation 5. Calibration Methods in Instumental Analysis 5.1 Introduction: instrumentational analysis 5.2 Calibration graphs in instrumental analysis 5.3 The productmoment correlation coefficient 5.4 The line of regression of y on x 5.5 Errors in the slope and intercept of the regression line 5.6 Calculation of a concentration and its random error 5.7 Limits of detection 5.8 The method of standard additions 5.9 Use of regression lines for comparing analytical methods 5.10 Weighted regression lines 5.11 Intersection of two straight lines 5.12 ANOVA and regression calculations 5.13 Curvilinear regression methods  Introduction 5.14 Curve fitting 5.15 Outliers in regression 6. Nonparametric and Robust Methods 6.1 Introduction 6.2 The median: initial data analysis 6.3 The sign test 6.4 The WaldWolfowitz runs test 6.5 The Wilcoxon signed rank test 6.6 Simple tests for two independent samples 6.7 Nonparametric tests for more than two samples 6.8 Rank correlation 6.9 Nonparametric regression methods 6.10 Robust methods: introduction 6.11 Simple robust methods: trimming and winsorization 6.12 Further robust estimates of location and spread 6.13 Robust ANOVA 6.14 Robust regression methods 6.15 Resampling statistics 6.16 Conclusions 7. Experiimental Design and Optimization 7.1 Introduction 7.2 Randomization and blocking 7.3 Twoway ANOVA 7.4 Latin squares and other designs 7.5 Interactions 7.6 Identifying the important factors: factorial designs 7.7 Fractional factorial designs 7.8 Optimization: basic principles and univariate methods 7.9 Optimization using the alternating variable search method 7.10 The method of steepest ascent 7.11 Simplex optimization 7.12 Simulated annealing 8. Multivariate Analysis 8.1 Introduction 8.2 Initial analysis 8.3 Prinicipal component analysis 8.4 Cluster analysis 8.5 Discriminant analysis 8.6 Knearest neighbour method 8.7 Disjoint class modelling 8.8 Regression methods 8.9 Multiple linear regression 8.10 Principal component regression 8.11 Partial least squares regression 8.12 Natural computation methods artificial neural networks 8.13 Conclusions Solutions to Exercises Appendix 1 Commonly used statistical significance tests Appendix 2 Statistical tables Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 1. Introduction 1.1 Analytical problems 1.2 Errors in qunatitative analysis 1.3 Types of error 1.4 Random and systematic errors in titrimetric analysis 1.5 Handling systematic errors 1.6 Planning and design of experiments 1.7 Calculators and computers in statistical calculations 2. Statistics of Repeated Measurements 2.1 Mean and standard deviation 2.2 The distribution of repeated measurements 2.3 Lognormal distribution 2.4 Definition of a 'sample' 2.5 The sampling distribution of the mean 2.6 Confidence limits of the mean for large samples 2.7 Confidence limits of the mean for small samples 2.8 Presentation of results 2.9 Other uses of confidence limits 2.10 Confidence limits of the geometric mean for a lognormal distribution 2.11 Propagation of random errors 2.12 Propagation of systematic errors 3. Significance Tests 3.1 Introduction 3.2 Comparison of an experimental mean with a known value 3.3 Comparison of two experimental means 3.4 Paired ttest 3.5 Onesided and twosided tests 3.6 Ftest for the comparison of standard deviations 3.7 Outliers 3.8 Analysis of variance 3.9 Comparison of several means 3.10 The arithmetic of ANOVA calculations 3.11 The chisquared test 3.12 Testing for normality of distribution 3.13 Conclusions from significance tests 3.14 Bayesian Statistics 4. The Quality of Analytical Measurements 4.1 Introduction 4.2 Sampling 4.3 Separation and estimation of variances using ANOVA 4.4 Sampling strategy 4.5 Quality control methods  Introduction 4.6 Stewhart charts for mean values 4.7 Stewhart charts for ranges 4.8 Establishing the process capability 4.9 Average run length: cusum charts 4.10 Zone control charts (Jcharts) 4.11 Proficiency testing schemes 4.12 Method performance studies (collaborative trials) 4.13 Uncertainty 4.14 Acceptable sampling 4.15 Method validation 5. Calibration Methods in Instumental Analysis 5.1 Introduction: instrumentational analysis 5.2 Calibration graphs in instrumental analysis 5.3 The productmoment correlation coefficient 5.4 The line of regression of y on x 5.5 Errors in the slope and intercept of the regression line 5.6 Calculation of a concentration and its random error 5.7 Limits of detection 5.8 The method of standard additions 5.9 Use of regression lines for comparing analytical methods 5.10 Weighted regression lines 5.11 Intersection of two straight lines 5.12 ANOVA and regression calculations 5.13 Curvilinear regression methods  Introduction 5.14 Curve fitting 5.15 Outliers in regression 6. Nonparametric and Robust Methods 6.1 Introduction 6.2 The median: initial data analysis 6.3 The sign test 6.4 The WaldWolfowitz runs test 6.5 The Wilcoxon signed rank test 6.6 Simple tests for two independent samples 6.7 Nonparametric tests for more than two samples 6.8 Rank correlation 6.9 Nonparametric regression methods 6.10 Robust methods: introduction 6.11 Simple robust methods: trimming and winsorization 6.12 Further robust estimates of location and spread 6.13 Robust ANOVA 6.14 Robust regression methods 6.15 Resampling statistics 6.16 Conclusions 7. Experiimental Design and Optimization 7.1 Introduction 7.2 Randomization and blocking 7.3 Twoway ANOVA 7.4 Latin squares and other designs 7.5 Interactions 7.6 Identifying the important factors: factorial designs 7.7 Fractional factorial designs 7.8 Optimization: basic principles and univariate methods 7.9 Optimization using the alternating variable search method 7.10 The method of steepest ascent 7.11 Simplex optimization 7.12 Simulated annealing 8. Multivariate Analysis 8.1 Introduction 8.2 Initial analysis 8.3 Prinicipal component analysis 8.4 Cluster analysis 8.5 Discriminant analysis 8.6 Knearest neighbour method 8.7 Disjoint class modelling 8.8 Regression methods 8.9 Multiple linear regression 8.10 Principal component regression 8.11 Partial least squares regression 8.12 Natural computation methods artificial neural networks 8.13 Conclusions Solutions to Exercises Appendix 1 Commonly used statistical significance tests Appendix 2 Statistical tables Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD75.4 .C45 M54 2010  Unknown 
 Book
 xiv, 323 p. : ill. ; 25 cm. + 1 CDROM (4 3/4 in.)
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 PREFACE. 1 SOLVENT MICROEXTRACTION: COMPARISON WITH OTHER POPULAR SAMPLE PREPARATION METHODS. 1.1 Introduction. 1.2 Comparison of Sample Preparation Methods. 1.3 Summary. References. 2 BASIC MODES OF OPERATION FOR SOLVENT MICROEXTRACTION. 2.1 Basic Principles of SME. 2.2 Extraction Modes. 2.3 Solvents. 3 THEORY OF SOLVENT MICROEXTRACTION. 3.1 Introduction. 3.2 Thermodynamics. 3.3 Kinetics. 3.4 Calibration Methods. 3.5 Summary. References. 4 PRACTICAL CONSIDERATIONS FOR USING SOLVENT MICROEXTRACTION. 4.1 Introduction. 4.2 General Recommendations. 4.3 General Questions to Consider Before Performing an Analysis. 4.4 Choosing the SME Mode. 4.5 Extraction Solvent. 4.6 Sample Volumes. 4.7 Syringe and Microdrop. 4.8 Chromatography and Detector Requirements. 4.9 Additional Extraction Parameters. 4.10 Calculation Examples for SDME. 4.11 Calculation Examples for DLLME and HFME. 4.12 Calculation Examples for the Effect of Ionic Strength on SDME. 4.13 Calculation Examples for HSSDME. 4.14 Calculation Examples for the Effect of Ionic Strength on HSSDME. 4.15 Calculation Examples for Static Headspace Extraction. 4.16 Calculation Examples for Solvent Solubility. References. 5 METHOD DEVELOPMENT IN SOLVENT MICROEXTRACTION. 5.1 Introduction. 5.2 Extraction Mode Selection. 5.3 Static vs. Dynamic Extraction. 5.4 Selection of Manual vs. Automated Extraction. 5.5 Selection of Direct vs. Derivatization SME. 5.6 Extraction Solvent Selection. 5.7 Selection of Final Determination Method. 5.8 Selection of Extraction Optimization Method. 5.9 Optimization of Extraction Conditions. References. 6 APPLICATIONS. 6.1 Introduction. 6.2 Gaseous Samples. 6.3 Liquid Samples. 6.4 Solid Samples. 6.5 Environmental Applications of SME. 6.6 Clinical and Forensic Applications of SME. 6.7 Application of SME in Food and Beverage Analysis. 6.8 Application of SME in the Analysis of Plant Material. 6.9 Application of SME in the Analysis of Consumer Products and Pharmaceuticals. 6.10 Outlook for Future Analytical Applications of SME. 6.11 Physicochemical Applications of SME. References. 7 SME EXPERIMENTS. 7.1 Introduction. 7.2 Recommended Experimental Conditions. 7.3 Determination of Gasoline Diluents in Motor Oil by HSSDME. 7.4 Determination of BTEX in Water by HSSDME. 7.5 Analysis of Halogenated Disinfection ByProducts by SDME and HSSDME. 7.6 Analysis of Volatile Organic Compounds by SDME and HSSDME. 7.7 Analysis of Residual Solvents in Drug Products by HSSDME. 7.8 Arson Accelerant Analyses by HSSDME. 7.9 Analysis of PAHs by SDME. 7.10 Determination of Acetone in Aqueous Solutions by Derivatization HSSDME. 7.11 Determination of Pesticides in Soil by HF(2)ME. 7.12 Determination of PAHs and HOCs by DLLME. 7.13 Dynamic Headspace and Direct Immersion Extractions (DYSME). References. ACRONYMS AND ABBREVIATIONS. APPENDIX SME MODES: CLASSIFICATION AND GLOSSARY. INDEX.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 PREFACE. 1 SOLVENT MICROEXTRACTION: COMPARISON WITH OTHER POPULAR SAMPLE PREPARATION METHODS. 1.1 Introduction. 1.2 Comparison of Sample Preparation Methods. 1.3 Summary. References. 2 BASIC MODES OF OPERATION FOR SOLVENT MICROEXTRACTION. 2.1 Basic Principles of SME. 2.2 Extraction Modes. 2.3 Solvents. 3 THEORY OF SOLVENT MICROEXTRACTION. 3.1 Introduction. 3.2 Thermodynamics. 3.3 Kinetics. 3.4 Calibration Methods. 3.5 Summary. References. 4 PRACTICAL CONSIDERATIONS FOR USING SOLVENT MICROEXTRACTION. 4.1 Introduction. 4.2 General Recommendations. 4.3 General Questions to Consider Before Performing an Analysis. 4.4 Choosing the SME Mode. 4.5 Extraction Solvent. 4.6 Sample Volumes. 4.7 Syringe and Microdrop. 4.8 Chromatography and Detector Requirements. 4.9 Additional Extraction Parameters. 4.10 Calculation Examples for SDME. 4.11 Calculation Examples for DLLME and HFME. 4.12 Calculation Examples for the Effect of Ionic Strength on SDME. 4.13 Calculation Examples for HSSDME. 4.14 Calculation Examples for the Effect of Ionic Strength on HSSDME. 4.15 Calculation Examples for Static Headspace Extraction. 4.16 Calculation Examples for Solvent Solubility. References. 5 METHOD DEVELOPMENT IN SOLVENT MICROEXTRACTION. 5.1 Introduction. 5.2 Extraction Mode Selection. 5.3 Static vs. Dynamic Extraction. 5.4 Selection of Manual vs. Automated Extraction. 5.5 Selection of Direct vs. Derivatization SME. 5.6 Extraction Solvent Selection. 5.7 Selection of Final Determination Method. 5.8 Selection of Extraction Optimization Method. 5.9 Optimization of Extraction Conditions. References. 6 APPLICATIONS. 6.1 Introduction. 6.2 Gaseous Samples. 6.3 Liquid Samples. 6.4 Solid Samples. 6.5 Environmental Applications of SME. 6.6 Clinical and Forensic Applications of SME. 6.7 Application of SME in Food and Beverage Analysis. 6.8 Application of SME in the Analysis of Plant Material. 6.9 Application of SME in the Analysis of Consumer Products and Pharmaceuticals. 6.10 Outlook for Future Analytical Applications of SME. 6.11 Physicochemical Applications of SME. References. 7 SME EXPERIMENTS. 7.1 Introduction. 7.2 Recommended Experimental Conditions. 7.3 Determination of Gasoline Diluents in Motor Oil by HSSDME. 7.4 Determination of BTEX in Water by HSSDME. 7.5 Analysis of Halogenated Disinfection ByProducts by SDME and HSSDME. 7.6 Analysis of Volatile Organic Compounds by SDME and HSSDME. 7.7 Analysis of Residual Solvents in Drug Products by HSSDME. 7.8 Arson Accelerant Analyses by HSSDME. 7.9 Analysis of PAHs by SDME. 7.10 Determination of Acetone in Aqueous Solutions by Derivatization HSSDME. 7.11 Determination of Pesticides in Soil by HF(2)ME. 7.12 Determination of PAHs and HOCs by DLLME. 7.13 Dynamic Headspace and Direct Immersion Extractions (DYSME). References. ACRONYMS AND ABBREVIATIONS. APPENDIX SME MODES: CLASSIFICATION AND GLOSSARY. INDEX.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks


QD63 .E88 K65 2009  Unknown 
 Book
 xiii, 157 p. : ill. (some col.) ; 25 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 Preface. List of Contributors. 1. The Power of Ultrasound (Hugo Miguel Santos, Carlos Lodeiro, and JoseLuis CapeloMartinez). 1.1 Introduction. 1.2 Cavitation. 1.3 Common Ultrasonic Devices Used in Analytical Chemistry. 1.4 Current Ultrasonic Devices for New Analytical Applications. References. 2. Ultrasonic Energy as a Tool for Sample Treatment for the Analysis of Elements and Elemental Speciation (Hugo Miguel Santos, Carlos Lodeiro, and JoseLuis CapeloMartinez). 2.1 Introduction. 2.2 Parameters Influencing Element Ultrasonic SolidLiquid Extraction. 2.3 USSLE from Soils and Sediments. 2.4 USSLE from Sewage Sludge. 2.5 USSLE Extraction from Plants. 2.6 Extraction from Soft Tissues. 2.7 Total Element Determination. 2.8 Elemental Fractionation and Elemental Speciation. 2.9 OnLine Applications. 2.10 Current Trends. 2.11 Conclusion. References. 3. Ultrasonic Assisted Extraction for the Analysis of Organic Compounds by Chromatographic Techniques (Raquel RialOtero). 3.1 Introduction. 3.2 Overview of Classic and Modern Extraction Procedures for Organics. 3.3 Ultrasonic Assisted Extraction (UAE). 3.4 Coupling Ultrasound with Other Extraction Techniques. 3.5 Comparison between UAE and Other Extraction Techniques. 3.6 Conclusion. References. 4. Electrochemical Applications of Power Ultrasound (Neil Vaughan Rees and Richard Guy Compton). 4.1 Introduction. 4.2 Electrochemical Cell and Experimental Setup. 4.3 Voltammetry Under Insonation. 4.4 Trace Detection by Stripping Voltammetry. 4.5 Biphasic Sonoelectroanalysis. 4.6 Microelectrodes and Ultrasound. 4.7 Conclusion. References. 5. Power Ultrasound Meets Protemics (Hugo Miguel Santos, Carlos Lodeiro, and JoseLuis CapeloMartinez). 5.1 Introduction. 5.2 Protein Identification through MassBased Spectrometry Techniques and Peptide Mass Fingerprint. 5.3 Classic InGel Protein Sample Treatment for Protein Identification through Peptide Mass Fingerprint. 5.4 Ultrasonic Energy for the Acceleration of InGel Protein Sample Treatment for Protein Identification through Peptide Mass Fingerprint. 5.5 Classic InSolution Protein Sample Treatment for Protein Identification through Peptide Mass Fingerprint. 5.6 Ultrasonic Energy for the Acceleration of the InSolution Protein Sample Treatment for Protein Identification through Peptide Mass Fingerprint. 5.7 Conclusion. References. 6. Beyond Analytical Chemistry (Carlos Lodeiro, and JoseLuis CapeloMartinez). 6.1 Introduction. 6.2 Sonochemistry for Organic Synthesis. 6.3 Ultrasonic Enhanced Synthesis of Inorganic Nanomaterials. 6.4 Sonochemistry Applied to Polymer Science. 6.5 Conclusion. References. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Preface. List of Contributors. 1. The Power of Ultrasound (Hugo Miguel Santos, Carlos Lodeiro, and JoseLuis CapeloMartinez). 1.1 Introduction. 1.2 Cavitation. 1.3 Common Ultrasonic Devices Used in Analytical Chemistry. 1.4 Current Ultrasonic Devices for New Analytical Applications. References. 2. Ultrasonic Energy as a Tool for Sample Treatment for the Analysis of Elements and Elemental Speciation (Hugo Miguel Santos, Carlos Lodeiro, and JoseLuis CapeloMartinez). 2.1 Introduction. 2.2 Parameters Influencing Element Ultrasonic SolidLiquid Extraction. 2.3 USSLE from Soils and Sediments. 2.4 USSLE from Sewage Sludge. 2.5 USSLE Extraction from Plants. 2.6 Extraction from Soft Tissues. 2.7 Total Element Determination. 2.8 Elemental Fractionation and Elemental Speciation. 2.9 OnLine Applications. 2.10 Current Trends. 2.11 Conclusion. References. 3. Ultrasonic Assisted Extraction for the Analysis of Organic Compounds by Chromatographic Techniques (Raquel RialOtero). 3.1 Introduction. 3.2 Overview of Classic and Modern Extraction Procedures for Organics. 3.3 Ultrasonic Assisted Extraction (UAE). 3.4 Coupling Ultrasound with Other Extraction Techniques. 3.5 Comparison between UAE and Other Extraction Techniques. 3.6 Conclusion. References. 4. Electrochemical Applications of Power Ultrasound (Neil Vaughan Rees and Richard Guy Compton). 4.1 Introduction. 4.2 Electrochemical Cell and Experimental Setup. 4.3 Voltammetry Under Insonation. 4.4 Trace Detection by Stripping Voltammetry. 4.5 Biphasic Sonoelectroanalysis. 4.6 Microelectrodes and Ultrasound. 4.7 Conclusion. References. 5. Power Ultrasound Meets Protemics (Hugo Miguel Santos, Carlos Lodeiro, and JoseLuis CapeloMartinez). 5.1 Introduction. 5.2 Protein Identification through MassBased Spectrometry Techniques and Peptide Mass Fingerprint. 5.3 Classic InGel Protein Sample Treatment for Protein Identification through Peptide Mass Fingerprint. 5.4 Ultrasonic Energy for the Acceleration of InGel Protein Sample Treatment for Protein Identification through Peptide Mass Fingerprint. 5.5 Classic InSolution Protein Sample Treatment for Protein Identification through Peptide Mass Fingerprint. 5.6 Ultrasonic Energy for the Acceleration of the InSolution Protein Sample Treatment for Protein Identification through Peptide Mass Fingerprint. 5.7 Conclusion. References. 6. Beyond Analytical Chemistry (Carlos Lodeiro, and JoseLuis CapeloMartinez). 6.1 Introduction. 6.2 Sonochemistry for Organic Synthesis. 6.3 Ultrasonic Enhanced Synthesis of Inorganic Nanomaterials. 6.4 Sonochemistry Applied to Polymer Science. 6.5 Conclusion. References. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD801 .U486 2009  Unknown 
12. Advanced Excel for scientific data analysis [2008]
 Book
 707 p. : ill. ; 24 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 1. Survey of Excel 2. Simple linear least squares 3. Further linear least squares 4. Nonlinear least squares 5. Fourier transformation 6. Convolution, deconvolution & timefrequency analysis 7. Numerical integration of ordinary differential equations 8. Write your own macros 9. Some common mathematical operations 10. Matrix operations 11. Spreadsheet reliability A. SOME ASPECTS OF EXCEL B. SOME DETAILS OF MATRIX.XLA C. MACROBUNDLES & MACROMORSELS D. TRANSITIONING TO EXCEL 2007 INDEX.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 1. Survey of Excel 2. Simple linear least squares 3. Further linear least squares 4. Nonlinear least squares 5. Fourier transformation 6. Convolution, deconvolution & timefrequency analysis 7. Numerical integration of ordinary differential equations 8. Write your own macros 9. Some common mathematical operations 10. Matrix operations 11. Spreadsheet reliability A. SOME ASPECTS OF EXCEL B. SOME DETAILS OF MATRIX.XLA C. MACROBUNDLES & MACROMORSELS D. TRANSITIONING TO EXCEL 2007 INDEX.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain), Marine Biology Library (Miller)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD75.4 .E4 D43 2008  Unavailable At bindery Request 
Marine Biology Library (Miller)  Status 

Stacks  
QD75.4 .E4 D43 2008  Unknown 
 Book
 xiv, 328 p. : ill. ; 24 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 1 What is Chemometrics?1.1 The Computerbased Laboratory.1.2 Statistics and Data Interpretation.1.3 Computerbased Information Systems/Artificial Intelligence.1.4 General Reading.2 Basic Statistics.2.1 Descriptive Statistics.2.2 Statistical Tests.2.3 Analysis of Variance.2.4 General Reading.3 Signal Processing and TimeSeries Analysis.3.1 Signal Processing.3.2 Times Series Analysis.3.3 General Reading.4 Optimization and Experimental Design.4.1 Objective Functions and Factors.4.2 Experimental Designs and Response Surface Methods.4.2.1 Fundamentals.4.2.2 Twolevel designs: screening designs.4.2.3 Threelevel designs: response surface designs.4.3 Sequential Optimization: Simplex Method.4.4 General Reading.5 Pattern Recognition and Classification.5.1 Preprocessing of Data.5.2 Unsupervised Methods.5.2.1 Factorial methods.5.2.2 Cluster analysis.5.2.3 Graphical methods.5.3 Supervised Methods.5.3.1 Linear learning machine.5.3.2 Discriminant analysis.5.3.3 nearest neighbor method.5.3.4 SIMCA.5.3.5 Support vector machines.5.4 General Reading.6 Modeling.6.1 Univariate Linear Regression.6.2 Multiple Linear Regression.6.2.1 Ordinary test squares regression.6.2.2 Biased parameter estimations: PCR and PLS.6.2.3 Applications for multicomponent analysis.6.2.4 Regression diagnostics.6.2.5 Multiway regression (modeling).6.3 Nonlinear Methods.6.3.1 Nonlinear regression analysis.6.3.2 Nonparametric methods.6.4 General Reading.7 Analytical Databases.7.1 Representation of Analytical Information.7.2 Library Search.7.3 General Reading.8 Knowledge Processing and Soft Computing.8.1 Artificial Intelligence and Expert Systems.8.2 Neural Networks.8.3 Fuzzy Theory.8.4 Genetic Algorithms and Other Global Search Strategies.8.5 General Reading.9 Quality Assurance and Good Laboratory Practice.9.1 Validation and Quality Control.9.2 Accreditation and Good Laboratory Practice.9.3 General Reading.Appendix.Statistical Distributions.Digital filters.Experimental Designs.Matrix Algebra.Software.Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 1 What is Chemometrics?1.1 The Computerbased Laboratory.1.2 Statistics and Data Interpretation.1.3 Computerbased Information Systems/Artificial Intelligence.1.4 General Reading.2 Basic Statistics.2.1 Descriptive Statistics.2.2 Statistical Tests.2.3 Analysis of Variance.2.4 General Reading.3 Signal Processing and TimeSeries Analysis.3.1 Signal Processing.3.2 Times Series Analysis.3.3 General Reading.4 Optimization and Experimental Design.4.1 Objective Functions and Factors.4.2 Experimental Designs and Response Surface Methods.4.2.1 Fundamentals.4.2.2 Twolevel designs: screening designs.4.2.3 Threelevel designs: response surface designs.4.3 Sequential Optimization: Simplex Method.4.4 General Reading.5 Pattern Recognition and Classification.5.1 Preprocessing of Data.5.2 Unsupervised Methods.5.2.1 Factorial methods.5.2.2 Cluster analysis.5.2.3 Graphical methods.5.3 Supervised Methods.5.3.1 Linear learning machine.5.3.2 Discriminant analysis.5.3.3 nearest neighbor method.5.3.4 SIMCA.5.3.5 Support vector machines.5.4 General Reading.6 Modeling.6.1 Univariate Linear Regression.6.2 Multiple Linear Regression.6.2.1 Ordinary test squares regression.6.2.2 Biased parameter estimations: PCR and PLS.6.2.3 Applications for multicomponent analysis.6.2.4 Regression diagnostics.6.2.5 Multiway regression (modeling).6.3 Nonlinear Methods.6.3.1 Nonlinear regression analysis.6.3.2 Nonparametric methods.6.4 General Reading.7 Analytical Databases.7.1 Representation of Analytical Information.7.2 Library Search.7.3 General Reading.8 Knowledge Processing and Soft Computing.8.1 Artificial Intelligence and Expert Systems.8.2 Neural Networks.8.3 Fuzzy Theory.8.4 Genetic Algorithms and Other Global Search Strategies.8.5 General Reading.9 Quality Assurance and Good Laboratory Practice.9.1 Validation and Quality Control.9.2 Accreditation and Good Laboratory Practice.9.3 General Reading.Appendix.Statistical Distributions.Digital filters.Experimental Designs.Matrix Algebra.Software.Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD75.4 .C45 O88 2007  Unknown 
 Book
 xii, 308 p., [16] p. of plates : ill. (some col.) ; 26 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 Preface.Contributors.Chapter 1. Is One Enough (Andrew C. Beveridge, James H. Jett, and Richard A. Keller)?Chapter 2. Dissecting Cellular Activity from Single Genes to Single mRNAs (Xavier Darzacq, Robert H. Singer, and Yaron ShavTal).Chapter 3. Probing Membrane Transport of Single Live Cells Using Single Molecule Detection and Single Nanoparticle Assay (XiaoHong Nancy Xu, Yujun Song, and Prakash D. Nallathamby).Chapter 4. Nanoparticle Probes for Ultrasensitive Biological Detection and Imaging (Amit Agrawal, Tushar Sathe, and Shuming Nie).Chapter 5. Tailoring Nanoparticles for the Recognition of Biomacromolecule Surfaces (Mrinmoy De, Rochelle R. Arvizo, Ayush Verma and Vincent M. Rotello).Chapter 6. Nanoscale Chemical Analysis of Individual Subcellular Compartments (Gina S. Fiorini and Daniel T. Chiu).Chapter 7. Ultrasensitive Timeresolved NearIR Fluorescence for Multiplexed Bioanalysis (Li Zhu and Steven A. Soper).Chapter 8. UltraSensitive Microarray Detection of DNA using Enzymatically Amplified SPR Imaging (Hye Jin Lee, Alastair W. Wark and Robert M. Corn).Chapter 9. Ultrasensitive Analysis of Metal Ions and Small Molecules in Living Cells (Richard B. Thompson).Chapter 10. Electrochemistry Inside and Outside Single Nerve Cells (Daniel J. Eves and Andrew G. Ewing).Chapter 11. New Bioanalytical Applications of Electrochemiluminescence (Yanbing Zu and XiaoHong Nancy Xu).Chapter 12. Single Cell Measurements with Mass Spectrometry (Eric B. Monroe, John C. Jurchen, Stanislav Rubakhin, and Jonathan V. Sweedler).Chapter 13. Outlooks of Ultrasensitive Detection in Bioanalysis (XiaoHong Nancy Xu).
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Preface.Contributors.Chapter 1. Is One Enough (Andrew C. Beveridge, James H. Jett, and Richard A. Keller)?Chapter 2. Dissecting Cellular Activity from Single Genes to Single mRNAs (Xavier Darzacq, Robert H. Singer, and Yaron ShavTal).Chapter 3. Probing Membrane Transport of Single Live Cells Using Single Molecule Detection and Single Nanoparticle Assay (XiaoHong Nancy Xu, Yujun Song, and Prakash D. Nallathamby).Chapter 4. Nanoparticle Probes for Ultrasensitive Biological Detection and Imaging (Amit Agrawal, Tushar Sathe, and Shuming Nie).Chapter 5. Tailoring Nanoparticles for the Recognition of Biomacromolecule Surfaces (Mrinmoy De, Rochelle R. Arvizo, Ayush Verma and Vincent M. Rotello).Chapter 6. Nanoscale Chemical Analysis of Individual Subcellular Compartments (Gina S. Fiorini and Daniel T. Chiu).Chapter 7. Ultrasensitive Timeresolved NearIR Fluorescence for Multiplexed Bioanalysis (Li Zhu and Steven A. Soper).Chapter 8. UltraSensitive Microarray Detection of DNA using Enzymatically Amplified SPR Imaging (Hye Jin Lee, Alastair W. Wark and Robert M. Corn).Chapter 9. Ultrasensitive Analysis of Metal Ions and Small Molecules in Living Cells (Richard B. Thompson).Chapter 10. Electrochemistry Inside and Outside Single Nerve Cells (Daniel J. Eves and Andrew G. Ewing).Chapter 11. New Bioanalytical Applications of Electrochemiluminescence (Yanbing Zu and XiaoHong Nancy Xu).Chapter 12. Single Cell Measurements with Mass Spectrometry (Eric B. Monroe, John C. Jurchen, Stanislav Rubakhin, and Jonathan V. Sweedler).Chapter 13. Outlooks of Ultrasensitive Detection in Bioanalysis (XiaoHong Nancy Xu).
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QP519.7 .N49 2007  Unknown 
15. Quality assurance in analytical chemistry [2007]
 Book
 xxii, 293 p. : ill. ; 24 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 Preface. Acknowledgements. Abbreviations, Acronyms and Symbols. 1. The Need for Reliable Results. 2. General Principles of Quality Assurance and Quality Control. 3. Sampling. 4. Preparing for Analysis. 5. Making Measurements. 6. Data Treatment. 7. Benchmarking Your Laboratory. 8. Documentation and its Management. 9. Managing Quality. Appendix: TwoTailed Critical Values for Student t Tests. Responses to Self Assessment Questions. Bibliography. Glossary of Terms. SI Units and Physical Constants Periodic Table. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Preface. Acknowledgements. Abbreviations, Acronyms and Symbols. 1. The Need for Reliable Results. 2. General Principles of Quality Assurance and Quality Control. 3. Sampling. 4. Preparing for Analysis. 5. Making Measurements. 6. Data Treatment. 7. Benchmarking Your Laboratory. 8. Documentation and its Management. 9. Managing Quality. Appendix: TwoTailed Critical Values for Student t Tests. Responses to Self Assessment Questions. Bibliography. Glossary of Terms. SI Units and Physical Constants Periodic Table. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD75.4 .Q34 P75 2007  Unknown 
16. Quantitative chemical analysis [2007]
 Book
 1 v. (various pagings) ; 29 cm.
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD101.2 .H37 2007  Unknown 
QD101.2 .H37 2007  Unknown 
 Book
 x, 138 p. : ill. ; 23 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 Preface.Acknowledgements.Introduction.1 What Instrumental Approaches are Available.1.1 Ion Sources.1.1.1 Electron Ionization.1.1.2 Chemical Ionization.1.1.3 Atmospheric Pressure Chemical Ionization.1.1.4 Electrospray Ionization.1.1.5 Atmospheric Pressure Photoionization.1.1.6 Matrixassisted Laser Desorption/Ionization.1.2 Mass Analysers.1.2.1 Mass Resolution.1.2.2 Sector Analysers.1.2.3 Quadrupole Analysers.1.2.4 Timeofflight.1.3 GC/MS.1.3.1 Total Ion Current (TIC) Chromatogram.1.3.2 Reconstructed Ion Chromatogram (RIC).1.3.3 Multiple Ion Detection (MID).1.4 LC/MS.1.5 MS/MS.1.5.1 MS/MS by Double Focusing Instruments.1.5.2 MS/MS by Triple Quadrupoles.1.5.3 MS/MS by Ion Traps.1.5.4 MS/MS by QTOF.References.2 How to Design a Quantitative Analysis.2.1 General Strategy.2.1.1 Project.2.1.2 Sampling.2.1.3 Sample Treatment.2.1.4 Instrumental Analysis.2.1.5 Method Validation.References.3 How to Improve Specificity.3.1 Choice of a Suitable Chromatographic Procedure.3.1.1 GC/MS Measurements in Low and High Resolution Conditions.3.1.2 LC/ESI/MS and LC/APCI/MS Measurements.3.2 Choice of a Suitable Ionization Method.3.3 An Example of High Specificity and Selectivity Methods: The Dioxin Analysis.3.3.1 Use of High Resolution MID Analysis.3.3.2 NICI in the Analysis of Dioxins, Furans and PCBs.3.3.3 MS/MS in the Detection of Dioxins, Furans and PCBs.3.4 An Example of MALDI/MS in Quantitative Analysis of Polypeptides: Substance P.References.4 Some Thoughts on Calibration and Data Analysis.4.1 Calibration Designs.4.2 Homoscedastic and Heteroscedastic Data.4.2.1 Variance Model.4.3 Calibration Models.4.3.1 Unweighted Regression.4.3.2 Weighted Regression.4.3.3 A Practical Example.4.4 Different Approaches to Estimate Detection and Quantification Limits.References.Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Preface.Acknowledgements.Introduction.1 What Instrumental Approaches are Available.1.1 Ion Sources.1.1.1 Electron Ionization.1.1.2 Chemical Ionization.1.1.3 Atmospheric Pressure Chemical Ionization.1.1.4 Electrospray Ionization.1.1.5 Atmospheric Pressure Photoionization.1.1.6 Matrixassisted Laser Desorption/Ionization.1.2 Mass Analysers.1.2.1 Mass Resolution.1.2.2 Sector Analysers.1.2.3 Quadrupole Analysers.1.2.4 Timeofflight.1.3 GC/MS.1.3.1 Total Ion Current (TIC) Chromatogram.1.3.2 Reconstructed Ion Chromatogram (RIC).1.3.3 Multiple Ion Detection (MID).1.4 LC/MS.1.5 MS/MS.1.5.1 MS/MS by Double Focusing Instruments.1.5.2 MS/MS by Triple Quadrupoles.1.5.3 MS/MS by Ion Traps.1.5.4 MS/MS by QTOF.References.2 How to Design a Quantitative Analysis.2.1 General Strategy.2.1.1 Project.2.1.2 Sampling.2.1.3 Sample Treatment.2.1.4 Instrumental Analysis.2.1.5 Method Validation.References.3 How to Improve Specificity.3.1 Choice of a Suitable Chromatographic Procedure.3.1.1 GC/MS Measurements in Low and High Resolution Conditions.3.1.2 LC/ESI/MS and LC/APCI/MS Measurements.3.2 Choice of a Suitable Ionization Method.3.3 An Example of High Specificity and Selectivity Methods: The Dioxin Analysis.3.3.1 Use of High Resolution MID Analysis.3.3.2 NICI in the Analysis of Dioxins, Furans and PCBs.3.3.3 MS/MS in the Detection of Dioxins, Furans and PCBs.3.4 An Example of MALDI/MS in Quantitative Analysis of Polypeptides: Substance P.References.4 Some Thoughts on Calibration and Data Analysis.4.1 Calibration Designs.4.2 Homoscedastic and Heteroscedastic Data.4.2.1 Variance Model.4.3 Calibration Models.4.3.1 Unweighted Regression.4.3.2 Weighted Regression.4.3.3 A Practical Example.4.4 Different Approaches to Estimate Detection and Quantification Limits.References.Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD96 .M3 Q83 2006  Unknown 
 Book
 x, 325 p. : ill. ; 28 cm.
Summary
This supplement contains many spreadsheet exercises correlating directly with sections in the text. The exercises teach students how to use Microsoft(r) Excel(r) using applications from statistics, data analysis equilibrium calculations, curve fitting, and more. Operations include everything from basic arithmetic and cell formatting to Solver, Goal Seek, and the Data Analysis Toolpak. The authors show students how to use a spreadsheet to construct log diagrams and to plot the results. Statistical data treatment includes descriptive statistics, linear regression, hypothesis testing, and analysis of variance. Tutorial exercises include nonlinear regression such as fitting the Van Deemter equation, fitting kinetics data, determining error coefficients in spectrophotometry, and calculating titration curves. Additional features include solving complex systems of equilibrium equations and advanced graphical methods: error bars, charts with insets, matrices and determinants, and much more.
(source: Nielsen Book Data)
(source: Nielsen Book Data)
This supplement contains many spreadsheet exercises correlating directly with sections in the text. The exercises teach students how to use Microsoft(r) Excel(r) using applications from statistics, data analysis equilibrium calculations, curve fitting, and more. Operations include everything from basic arithmetic and cell formatting to Solver, Goal Seek, and the Data Analysis Toolpak. The authors show students how to use a spreadsheet to construct log diagrams and to plot the results. Statistical data treatment includes descriptive statistics, linear regression, hypothesis testing, and analysis of variance. Tutorial exercises include nonlinear regression such as fitting the Van Deemter equation, fitting kinetics data, determining error coefficients in spectrophotometry, and calculating titration curves. Additional features include solving complex systems of equilibrium equations and advanced graphical methods: error bars, charts with insets, matrices and determinants, and much more.
(source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD75.4 .E4 C76 2004  Unknown 
19. Fundamentals of analytical chemistry [2004]
 Book
 1 v. (various pagings) : ill. (some col.) ; 27 cm. + 1 CDROM (4 3/4 in.)
Summary
Extensive coverage of the prinicples and practices of quantative chemistry and includes applications throughout industry, medicine and all the sciences.
(source: Nielsen Book Data)
(source: Nielsen Book Data)
Extensive coverage of the prinicples and practices of quantative chemistry and includes applications throughout industry, medicine and all the sciences.
(source: Nielsen Book Data)
(source: Nielsen Book Data)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks


QD75.22 .F865 2004  Unknown 
QD75.22 .F865 2004  Unknown 
 Book
 xi, 259 p. ; 25 cm.
Summary
(source: Nielsen Book Data)
(source: Nielsen Book Data)
 Introduction 1. Vanity  no more wrinkles? 2. Vitality  food for thought 3. Virility, sterility, and Viagra 4. Germs warfare 5. It's all in the mind 6. Polymers in unlikely guises Postscript  a risk worth taking? Glossary Bibliography Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Introduction 1. Vanity  no more wrinkles? 2. Vitality  food for thought 3. Virility, sterility, and Viagra 4. Germs warfare 5. It's all in the mind 6. Polymers in unlikely guises Postscript  a risk worth taking? Glossary Bibliography Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Online
site.ebrary.com ebrary
 site.ebrary.com ebrary
 www.myilibrary.com MyiLibrary
 Google Books (Full view)
At the library
Chemistry & ChemEng Library (Swain)
Chemistry & ChemEng Library (Swain)  Status 

Stacks  
QD75.22 .E47 2004  Unknown 
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