Coconut Research Institute CATAS

Wencheng, China

Coconut Research Institute CATAS

Wencheng, China
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Cao F.,Jiangnan University | Cao F.,Coconut Research Institute CATAS | Wang X.,Jiangnan University | Chen W.,Coconut Research Institute CATAS | Wang H.,Coconut Research Institute CATAS
Journal of the Chinese Cereals and Oils Association | Year: 2016

According to the experimental result of UV spectra of different oils, the study has utilized SIMCA, PLS-DA and WT-ANN models to discriminate the coconut oil mixing soybean oil, sunflower oil and corn oil categories. The results showed that recognition effect of WT-ANN on mixed oil categories was the best among the three; prediction set R2 reached 0.998 9 (soybean), 0.981 1 (sunflower), 0.999 9 (corn) respectively. The recognition rate of wide range of different concentrations reached 100%, while SIMCA and PLS-DA recognition accuracy was relatively lower, strongly influenced by the mixing concentration. As a conclusion, WT-ANN combined with ultraviolet spectrum should be an effective judgment of coconut oil mixture categories for qualitative identification. © 2016, Dept. of JCCOA. All right reserved.

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