Andrade-Garda Basic Chemometric Techniques in Atomic Spectroscopy

2. Auflage 2013
ISBN: 978-1-84973-934-4
Verlag: Royal Society of Chemistry
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 444 Seiten, Web PDF

Reihe: ISSN

The first edition of this book was a first book for atomic spectroscopists to present the basic principles of experimental designs, optimization and multivariate regression. Multivariate regression is a valuable statistical method for handling complex problems (such as spectral and chemical interferences) which arise during atomic spectrometry. However, the technique is underused as most spectroscopists do not have time to study the often complex literature on the subject. This practical introduction uses conceptual explanations and worked examples to give readers a clear understanding of the technique. Mathematics is kept to a minimum but, when required, is kept at a basic level. Practical considerations, interpretations and troubleshooting are emphasized and literature surveys are included to guide the reader to further work. The same dataset is used for all chapters dealing with calibration to demonstrate the differences between the different methodologies. Readers will learn how to handle spectral and chemical interferences in atomic spectrometry in a new, more efficient and cost-effective way.

Autoren/Hrsg.

Andrade-Garda, Jose

Fachgebiete

• Naturwissenschaften Chemie Analytische Chemie Magnetresonanz
• Naturwissenschaften Chemie Chemie Allgemein Chemometrik, Chemoinformatik

Inhaltsverzeichnis

An overview of atomic spectrometric techniques;

Classical linear regression by the least squares method;

Implenting a robust methodology: experimental designs and optimisation;

Ordinary multiple linear regression and principal components regression;

Partial least-squares regression;

Multivariate regression using artificial neural networks and support vector mechines;

Index

Über Autor(innen)

Andrade-Garda, Jose
Dr in Chemistry, 1995. Since 1999 he is an Associated Professor at the Department of Analytical Chemistry, University of A Coruña. Fields of expertise: Quality Control and Chemometrics. In Chemometrics, main interests are in multivariate regression and pattern recognition methods (either, unsupervised and supervised). In the Atomic Spectrometry arena, he applied formal optimisation techniques to optimize analytical protocols (experimental design and Nelder and Mead simplex) and applied multivariate regression tools to cope with spectral and chemical interferences in ETAAS (traditional sample introduction and slurry-based).

Jose Andrade-Garda is based in the Department of Analytical Chemistry at the University of A Coru±a where he specializes in quality control and chemometrics. Within the field of chemometrics, his main interests are multivariate regression and pattern recognition methods. In the atomic spectrometry arena, he has applied formal optimization techniques to optimize analytical protocols and used multivariate regression tools to cope with spectral and chemical interferences in ETAAS.