Chinese Optics Letters, Vol. 18, Issue 4, 043001 (2020)
Rapid quantitative detection of mineral oil contamination in vegetable oil by near-infrared spectroscopy
Mantong Zhao1, Dawei Zhang1,2,*, Lulu Zheng1, Otto Condliffe3, and Yi Kang1
- 1Engineering Research Centre of Optical Instrument and System, Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- 2Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
- 3Sino-England International College, University of Shanghai for Science and Technology, Shanghai 200093, China
This study provides a rapid method for quantification of mineral oil in rapeseed oil using near-infrared spectroscopy. The data were processed by direct orthogonal signal correction (DOSC), successive projections algorithm (SPA), partial least squares, and principal component regression (PCR). Good correlation coefficients (R) of 0.998 and root-mean-squared error (RMSE) of 0.005 were obtained, and the DOSC-SPA-PCR model was identified as the optimal method. A satisfactory accuracy with R and RMSE of prediction by DOSC-SPA-PCR of 0.990 and 0.006, was obtained. The results demonstrate that the proposed methodology is a promising method for the rapid quantitative detection of mineral oil in vegetable oil.
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