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Fruit Quality Evaluation Using Spectroscopy Technology: A Review
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Sensors 2015, 15(7), 15363-15397;

Fruit and Vegetable Quality Assessment via Dielectric Sensing

Departmentof Engineering, University of Almería, 04120 Almería, Spain
BITAL (Research Center on Agricultural and Food Biotechnology), University of Almeria, 04120 Almeria, Spain
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Arun K. Bhunia
Received: 21 March 2015 / Revised: 30 May 2015 / Accepted: 17 June 2015 / Published: 29 June 2015
(This article belongs to the Special Issue Sensors for Food Safety and Quality)
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The demand for improved food quality has been accompanied by a technological boost. This fact enhances the possibility of improving the quality of horticultural products, leading towards healthier consumption of fruits and vegetables. A better electrical characterization of the dielectric properties of fruits and vegetables is required for this purpose. Moreover, a focused study of dielectric spectroscopy and advanced dielectric sensing is a highly interesting topic. This review explains the dielectric property basics and classifies the dielectric spectroscopy measurement techniques. It comprehensively and chronologically covers the dielectric experiments explored for fruits and vegetables, along with their appropriate sensing instrumentation, analytical modelling methods and conclusions. An in-depth definition of dielectric spectroscopy and its usefulness in the electric characterization of food materials is presented, along with the various sensor techniques used for dielectric measurements. The collective data are tabulated in a summary of the dielectric findings in horticultural field investigations, which will facilitate more advanced and focused explorations in the future. View Full-Text
Keywords: fruits; vegetables; dielectric; quality; sensing; non-destructive fruits; vegetables; dielectric; quality; sensing; non-destructive

Figure 1

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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Khaled, D.E.; Novas, N.; Gazquez, J.A.; Garcia, R.M.; Manzano-Agugliaro, F. Fruit and Vegetable Quality Assessment via Dielectric Sensing. Sensors 2015, 15, 15363-15397.

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