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Measurement, Modeling and Automation in Advanced Food Processing

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Attention for Chapter 13: Case Studies in Modelling, Control in Food Processes
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Chapter title
Case Studies in Modelling, Control in Food Processes
Chapter number 13
Book title
Measurement, Modeling and Automation in Advanced Food Processing
Published in
Advances in biochemical engineering biotechnology, January 2017
DOI 10.1007/10_2017_13
Pubmed ID
Book ISBNs
978-3-31-960109-0, 978-3-31-960111-3
Authors

J. Glassey, A. Barone, G. A. Montague, V. Sabou, Glassey, J., Barone, A., Montague, G. A., Sabou, V.

Abstract

This chapter discusses the importance of modelling and control in increasing food process efficiency and ensuring product quality. Various approaches to both modelling and control in food processing are set in the context of the specific challenges in this industrial sector and latest developments in each area are discussed. Three industrial case studies are used to demonstrate the benefits of advanced measurement, modelling and control in food processes. The first case study illustrates the use of knowledge elicitation from expert operators in the process for the manufacture of potato chips (French fries) and the consequent improvements in process control to increase the consistency of the resulting product. The second case study highlights the economic benefits of tighter control of an important process parameter, moisture content, in potato crisp (chips) manufacture. The final case study describes the use of NIR spectroscopy in ensuring effective mixing of dry multicomponent mixtures and pastes. Practical implementation tips and infrastructure requirements are also discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Student > Postgraduate 1 14%
Unknown 5 71%
Readers by discipline Count As %
Medicine and Dentistry 1 14%
Engineering 1 14%
Unknown 5 71%