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Molecules 2015, 20(2), 2611-2621; doi:10.3390/molecules20022611

A Study on the Application of Near Infrared Hyperspectral Chemical Imaging for Monitoring Moisture Content and Water Activity in Low Moisture Systems

School of Biosystems Engineering, University College Dublin, Dublin 4, Ireland
Author to whom correspondence should be addressed.
Academic Editor: Christian Huck
Received: 8 December 2014 / Revised: 20 January 2015 / Accepted: 22 January 2015 / Published: 3 February 2015
(This article belongs to the Special Issue Advances of Vibrational Spectroscopic Technologies in Life Sciences)
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Moisture content and water activity are key parameters in predicting the stability of low moisture content products. However, conventional methods for moisture content and water activity determination (e.g., loss on drying method, ‎Karl Fischer titration, dew point method) are time consuming, demand specialized equipment and are not amenable to online processing. For this reason they are typically applied at-line on a limited number of samples. Near infrared hyperspectral chemical imaging is an emerging technique for spatially characterising the spectral properties of samples. Due to the fast acquisition of chemical images, many samples can be evaluated simultaneously, thus providing the potential for online evaluation of samples during processing. In this study, the potential of NIR chemical imaging for predicting the moisture content and water activity of a selection of low moisture content food systems is evaluated. View Full-Text
Keywords: hyperspectral; near infrared; moisture content; water activity; food hyperspectral; near infrared; moisture content; water activity; food

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Achata, E.; Esquerre, C.; O'Donnell, C.; Gowen, A. A Study on the Application of Near Infrared Hyperspectral Chemical Imaging for Monitoring Moisture Content and Water Activity in Low Moisture Systems. Molecules 2015, 20, 2611-2621.

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