The world’s best-selling introduction to the tools and techniques of analytical chemistry is back in a new edition. Thoroughly revised and including cutting-edge research methods, the book retains the author’s witty, personable writing style of the earlier editions. It is loaded with real-life examples, beginning with a chemical analysis of how much caffeine is in a chocolate bar, and includes many more problems – hundreds on CD-ROM along with spreadsheet data files – and a handy chapter on calibration
Process Development: Fine Chemicals from Grams to Kilograms
Process development bridges the gap between the laboratory synthesis of an organic compound and its industrial manufacture on a large scale. This concise and readable text uses real examples and case histories from ICI/Zeneca Pharmaceuticals to show the problems which may be encountered in scaling up chemical synthesis, and the ways these problems may be overcome. It shows how it is possible to synthesize multi-kilogram quantities of a new organic compound which has been made in the laboratory only in the milligram scale. A wide range of aliphatic, aromatic, and heterocyclic compounds is covered. This book will be invaluable both to the research chemist involved in the development phase of novel compounds, and the advanced undergraduate interested in the fine chemicals industry.
Problem Solving in Chemical Engineering with Numerical Methods
A companion textbook for core courses in chemical engineering or in computational methods. This book takes a “nuts and bolts” approach to interactive problem solving, offering solved, partially solved, and unsolved problems in the core subject areas of chemical engineering where standard numerical methods are illustrated and where numerical solutions are typically required. The numerical techniques for problem solving discussed in the book allow students to use widely available mathematical software packages (such as POLYMATHa , Matlaba , Mathematicaa , Maplea , MathCADa ) to solve realistic chemical engineering problems much more conveniently, faster, and more accurately than with traditional problem solving techniques.