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Use of Spectroscopic Data for Automation in Food Processing Industry

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Food Processing Automation Conference Proceedings, 28-29 June 2008, Providence, Rhode Island  701P0508cd.(doi:10.13031/2013.24540)
Authors:   Prabal K Ghosh, Digvir S Jayas
Keywords:   Keywords: Spectroscopy, food, chemometrics, proteomics, automation

Advances in spectroscopy now enable researchers to obtain information about chemical and physical components in the food/biological materials at the molecular level. Various spectroscopic techniques (e.g., atomic absorption spectroscopy, Raman and FTIR spectroscopy, NIR spectroscopy, NMR spectroscopy, mass spectroscopy, X-ray fluorescence spectroscopy, UV spectroscopy) have been used to study structure-function relationships in foods (both liquid and solid) to improve overall food quality, safety and sensory characteristics; to investigate fungal infections in plant materials (fruits, seeds etc.); or to study mobility of different chemical components in food materials. Processing, analyzing, and displaying these data can often be difficult, time-consuming, and problem-specific. Chemometrics is well established for calibrating the spectral data to predict concentrations of constituents of interest. Similarly, proteomics deals with the structure-function relationship of protein molecules. Since most of the food processing industries are becoming increasingly automated, there is a need to understand how the spectroscopic data can be used for automation. In this paper, we have provided basic working principles of the above mentioned spectroscopic techniques, examples of the use of spectral data in food processing, methods of analysis of spectral data and their integration in the automation process.

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