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25 October 2016 Rapid authentication of adulteration of olive oil by near-infrared spectroscopy using support vector machines
Jingzhu Wu, Jingjing Dong, Wenfei Dong, Yan Chen, Cuiling Liu
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Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101570I (2016) https://doi.org/10.1117/12.2244294
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
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.
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Jingzhu Wu, Jingjing Dong, Wenfei Dong, Yan Chen, and Cuiling Liu "Rapid authentication of adulteration of olive oil by near-infrared spectroscopy using support vector machines", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101570I (25 October 2016); https://doi.org/10.1117/12.2244294
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KEYWORDS
Near infrared spectroscopy
Near infrared
Spectroscopy
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