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Proceedings Paper

Rapid authentication of adulteration of olive oil by near-infrared spectroscopy using support vector machines
Author(s): Jingzhu Wu; Jingjing Dong; Wenfei Dong; Yan Chen; Cuiling Liu
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Paper Abstract

A classification method of support vector machines with linear kernel was employed to authenticate genuine olive oil based on near-infrared spectroscopy. There were three types of adulteration of olive oil experimented in the study. The adulterated oil was respectively soybean oil, rapeseed oil and the mixture of soybean and rapeseed oil. The average recognition rate of second experiment was more than 90% and that of the third experiment was reach to 100%. The results showed the method had good performance in classifying genuine olive oil and the adulteration with small variation range of adulterated concentration and it was a promising and rapid technique for the detection of oil adulteration and fraud in the food industry.

Paper Details

Date Published: 25 October 2016
PDF: 12 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101570I (25 October 2016); doi: 10.1117/12.2244294
Show Author Affiliations
Jingzhu Wu, Beijing Technology and Business Univ. (China)
Jingjing Dong, Beijing Technology and Business Univ. (China)
Wenfei Dong, Beijing Technology and Business Univ. (China)
Yan Chen, Beijing Technology and Business Univ. (China)
Cuiling Liu, Beijing Technology and Business Univ. (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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