Chemometric Methods in Capillary Electrophoresis

Chemometric Methods in Capillary Electrophoresis

Editor(s): Grady Hanrahan, Frank A. Gomez

Published Online: 3 NOV 2009

Print ISBN: 9780470393291

Online ISBN: 9780470530191

DOI: 10.1002/9780470530191

About this Book

Use chemometric techniques to develop optimum separation conditions for capillary electrophoreses

For all its advantages, capillary electrophoresis (CE) also carries significant disadvantages for the researcher. Offering a unique blend of information from authors active in a variety of developments of chemometrics in CE, Chemometric Methods in Capillary Electrophoresis presents modern chemometric methods as an alternative to help alleviate the problems commonly encountered during routine analysis and method development.

Focusing on current chemometric methods utilized in CE endeavours by research-active experts in the field, the book begins with a thorough introduction to CE and chemometric-related concepts and the need for modern chemometric methods in CE.

Part 1 discusses differing types of screening designs and response surface methodology¿in an¿application based format

Part 2 includes vital discussion on various exploratory data analysis, prediction, and classification techniques utilized in CE-related studies

Part 3 provides practical information on modelling quantitative structure relationships

Part 4 explores transformation techniques, in particular fundamental studies and applications of cross-correlation and Hadamard Transform Electrophoresis

Showing how chemometric methods are applied in a wide array of applications including biological, medical, pharmaceutical, food, forensic, and environmental science, Chemometric Methods in Capillary Electrophoresis is not only highly significant to capillary electrophoresis-based endeavours, but instructive for investigators active in other areas of separation science who could benefit from its informative content.

Table of contents

    1. You have free access to this content
    1. You have free access to this content
  1. Part I: Experimental Design and Optimization Considerations

  2. Part II: Exploratory Data Analysis, Prediction, and Classification

  3. Part III: Quantitative Structure Relationships

  4. Part IV: Transformation Techniques

    1. You have free access to this content