The use of correlation, association and regression to analyse processes and products
chapter
posted on 2018-08-29, 00:00 authored by Daniel CozzolinoAll 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.
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Editor
Granato D; Ares GParent Title
Mathematical and statistical methods in food science and technologyStart Page
19End Page
30Number of Pages
12ISBN-13
9781118434635Publisher
WileyPlace of Publication
Oxford, UKPublisher DOI
Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
University of AdelaideEra Eligible
- Yes
Number of Chapters
30Usage metrics
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