Cover image for How to Use Excel® in Analytical Chemistry : And in General Scientific Data Analysis.
How to Use Excel® in Analytical Chemistry : And in General Scientific Data Analysis.
Title:
How to Use Excel® in Analytical Chemistry : And in General Scientific Data Analysis.
Author:
Levie, Robert de.
ISBN:
9780511158124
Personal Author:
Physical Description:
1 online resource (503 pages)
Contents:
Cover -- Half-title -- Title -- Copyright -- CONTENTS -- PREFACE -- PART I: INTRODUCTION TO USING THE SPREADSHEET -- CHAPTER 1 HOW TO USE EXCEL -- 1.1 Starting Windows -- 1.2 A first look at the spreadsheet -- 1.3 A simple spreadsheet and graph -- 1.3a Making a graph in Excel 97 or a more recent version -- 1.3b Making a graph in Excel 5 or Excel 95 -- 1.4 Addressing a spreadsheet cell -- 1.5 More on graphs -- 1.6 Mathematical operations -- 1.7 Error messages -- 1.8 Naming and annotating cells -- 1.9 Viewing the spreadsheet -- 1.10 Printing -- 1.11 Help! -- 1.12 The case of the changing options -- 1.13 Importing macros and data -- 1.14 Differences between the various versions of Excel -- 1.15 Some often-used spreadsheet commands -- 1.16 Changing the default settings -- 1.17 Summary -- PART II: STATISTICS AND RELATED METHODS -- CHAPTER 2 INTRODUCTION TO STATISTICS -- 2.1 Gaussian statistics -- 2.2 Replicate measurements -- 2.3 The propagation of imprecision from a single parameter -- 2.4 The propagation of imprecision from multiple parameters -- 2.5 The weighted average -- 2.6 Least-squares fitting to a proportionality -- 2.7 Least-squares fitting to a general straight line -- 2.8 Looking at the data -- 2.9 What is 'normal'? -- 2.10 Poissonian statistics -- 2.11 How likely is the improbable? -- 2.12 Summary -- CHAPTER 3 MORE ON LEAST SQUARES -- 3.1 Multi-parameter fitting -- 3.2 Fitting data to a quadratic -- 3.3 Least squares for equidistant data: smoothing and differentiation -- 3.4 Weighted least squares -- 3.5 Another example of weighted least squares: enzyme kinetics -- 3.6 Non-linear data fitting -- 3.6a Some kinetic data -- 3.6b A double exponential -- 3.6c False minima -- 3.6d Enzyme kinetics revisited -- 3.6e SolverAid -- 3.7 Summary -- PART III CHEMICAL EQUILIBRIUM -- CHAPTER 4 ACIDS, BASES, AND SALTS.

4.1 The mass action law and its graphical representations -- 4.2 Conservation laws, proton balance, and pH calculations -- 4.3 Titrations of monoprotic acids and bases -- 4.4 Schwartz and Gran plots -- 4.5 The first derivative -- 4.6 A more general approach to data fitting -- 4.7 Buffer action -- 4.8 Diprotic acids and bases, and their salts -- 4.9 Polyprotic acids and bases, and their salts -- 4.10 Activity corrections -- 4.11 A practical example -- 4.12 Summary -- CHAPTER 5 OTHER IONIC EQUILIBRIA -- 5.1 Complex formation -- 5.2 Chelation -- 5.3 Extraction -- 5.4 Solubility -- 5.5 Precipitation and dissolution -- 5.6 Precipitation titrations -- 5.7 The von Liebig titration -- 5.8 The graphical representation of electrochemical equilibria -- 5.9 Redox titrations -- 5.10 Redox buffer action -- 5.11 Summary -- PART IV INSTRUMENTAL METHODS -- CHAPTER 6 SPECTROMETRY, CHROMATOGRAPHY, AND VOLTAMMETRY -- 6.1 Spectrometric pK determination -- 6.2 Multi-component spectrometric analysis 1 -- 6.3 Multi-component spectrometric analysis 2 -- 6.4 The absorbance-absorbance diagram -- 6.5 Chromatographic plate theory 1 -- 6.6 Chromatographic plate theory 2 -- 6.7 Peak area, position, and width -- 6.8 Determining the number of theoretical plates -- 6.9 Optimizing the mobile phase velocity -- 6.10 Polarography -- 6.11 Linear sweep and cyclic voltammetry 1 -- 6.12 Linear sweep and cyclic voltammetry 2 -- 6.13 Summary -- PART V MATHEMATICAL METHODS -- CHAPTER 7 FOURIER TRANSFORMATION -- 7.1 Introduction to Fourier transformation -- 7.2 Interpolation and filtering -- 7.3 Differentiation -- 7.4 Aliasing and leakage -- 7.5 Convolution -- 7.6 Deconvolution -- 7.7 Summary -- CHAPTER 8 STANDARD MATHEMATICAL OPERATIOS -- 8.1 The Newton-Raphson method -- 8.2 Non-linear least squares -- 8.3 Signal averaging -- 8.4 Lock-in amplification -- 8.5 Data smoothing -- 8.6 Peak fitting.

8.7 Integration -- 8.8 Differentiation -- 8.9 Semi-integration and semi-differentiation -- 8.10 Interpolation -- 8.11 Matrix manipulation -- 8.12 Overflow -- 8.13 Summary -- CHAPTER 9 NUMERICAL SIMULATION OF CHEMICAL KINETICS -- 9.1 Introduction -- 9.2 The explicit method -- 9.2a First-order kinetics -- 9.2b Numerical accuracy -- 9.2c Dimerization kinetics -- 9.2d A user-defined function to make the spreadsheet more efficient -- 9.2e Trimerization kinetics -- 9.2f Monomer-dimer kinetics -- 9.2g Polymerization kinetics -- 9.3 Implicit numerical simulation -- 9.3a First-order kinetics -- 9.3b Dimerization kinetics -- 9.3c Trimerization kinetics -- 9.3d Monomer-dimer kinetics -- 9.3e Polymerization kinetics -- 9.4 Some applications -- 9.4a Autocatalysis -- 9.4b Heterogeneous catalysis -- 9.4c The steady-state approximation -- 9.4d Oscillating reactions: the Lotka model -- 9.5 Summary -- PART VI SPREADSHEET PROGRAMMING -- CHAPTER 10 SOME USEFUL MACROS -- 10.1 What is a macro? -- 10.1a The macro module -- 10.1b Reading and modifying the contents of a single cell -- 10.1c Reading and modifying the contents of a block of cells -- 10.1d Two different approaches to modifying a block of cells -- 10.1e Numerical precision -- 10.1f Communication via boxes -- 10.1g Subroutines -- 10.2 A case study: interpolating in a set of equidistant data -- 10.2a Step-by-step -- 10.2b The finished product -- 10.3 Propagation of imprecision -- 10.4 Installing and customizing a macro -- 10.4a Installing external macros -- 10.4b Assigning a shortcut key -- 10.4c Embedding in a menu -- 10.4d Miscellany -- 10.5 Fourier transformation -- 10.5a Forward Fourier transformation -- 10.5b Descriptive notes -- 10.5c A bidirectional Fourier transformation macro -- 10.6 Convolution and deconvolution -- 10.7 Weighted least squares -- 10.7a The algorithm -- 10.7b Implementation.

10.8 More about Solver -- 10.8a Adding uncertainty estimates to Solver -- 10.8b Incorporating Solver into your macro -- 10.9 Smoothing and differentiating equidistant data -- 10.10 Semi-integration and semi-differentiation -- 10.11 Reducing data density -- 10.12 An overview of VBA -- 10.12a Objects -- 10.12b Properties and methods -- 10.12c Data types -- 10.12d Expressions -- 10.12e Statements -- 10.12f Active regions -- 10.12g Cells -- 10.12h Ranges -- 10.12i Subroutines -- 10.12j Macros -- 10.12k Functions -- 10.12l Message boxes -- 10.12m Input boxes -- 10.12n Dialog boxes -- 10.12o Collective statements -- 10.12p For … Next loops -- 10.12q Do loops -- 10.12r Conditional statements -- 10.12s Exit statements -- 10.13 Summary -- INDEX.
Abstract:
Advanced chemistry textbook on use of spreadsheets in analytical chemistry.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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