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The use of correlation, association and regression to analyse processes and products

chapter
posted on 2018-08-29, 00:00 authored by Daniel Cozzolino
All rights reserved.No single technique can solve all analytical issues in the food processing industries. However, modern instrumental techniques such as visible (Vis), near infrared (NIR), and mid infrared (MIR) spectroscopy, electronic noses (EN), electronic tongues (ET) and other sensors (e.g. temperature, pressure) combined with multivariate data analysis (MVA) have many advantages over chemical, physical and other classic instrumental methods of analysis. This chapter provides a general description of the methods and applications of regression analysis based on MVA used during the process analysis in the food industries. Most of the examples and applications given in this chapter are related with the use of infrared spectroscopy. However, the same basic principles can be applied to a different number of methods and instruments currently used by the food industry. © 2014 by John Wiley & Sons, Ltd.

History

Editor

Granato D; Ares G

Parent Title

Mathematical and statistical methods in food science and technology

Start Page

19

End Page

30

Number of Pages

12

ISBN-13

9781118434635

Publisher

Wiley

Place of Publication

Oxford, UK

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

University of Adelaide

Era Eligible

  • Yes

Number of Chapters

30