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

Cozzolino, D 2014, 'The use of correlation, association and regression to analyse processes and products' in Daniel Granato and Gastón Ares (ed.) Mathematical and Statistical Methods in Food Science and Technology, John Wiley and Sons, West Sussex, United Kingdom, pp. 19-30.


Document type: Book Chapter
Collection: Book Chapters

Title The use of correlation, association and regression to analyse processes and products
Author(s) Cozzolino, D
Year 2014
Title of book Mathematical and Statistical Methods in Food Science and Technology
Publisher John Wiley and Sons
Place of publication West Sussex, United Kingdom
Editor(s) Daniel Granato and Gastón Ares
Start page 19
End page 30
Subjects Food Processing
Summary 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.
Copyright notice © 2014 John Wiley & Sons, Ltd. Published 2014 by John Wiley & Sons, Ltd.
Keyword(s) correlations
food industries
food processing
instrumental method
multivariate data analysis
process analytical technologies
regression analysis
ISBN 9781118433683
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