Olive oil authentication based on quantitative β-carotene Raman spectra detection.

Food Chem

Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China; Key Laboratory of Space Active Opto-Electronics Technology of the Chinese Academy of Sciences, Shanghai 200083, China; Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China. Electronic address:

Published: December 2022

β-carotene and oleic acids are important molecules to distinguish between extra olive oil (EVOO) and other oils. To identify adulteration which use common vegetable oils blended with β-carotene to imitate EVOO, a non-invasive, lossless method is proved to be effective. The present work presents a laser confocal Raman technique for analyzing and comparing the differences of molecule between EVOO and SSO, which based on theoretical Raman spectra of β-carotene, oleic acids and linoleic acids calculated by density functional theory (DFT). Chemometrics based on support vector regression (SVR) was used to realize quantitative analysis of β-carotene in synthetic olive oils. Nine different volume ratios were prepared independently, and test set evaluation index of linear kernel of SVR as follow: RMSE 0.0653, R 0.9868. The results show that laser confocal Raman technique, combined with theoretical Raman spectra based on DFT, could analyze composition of vegetable oil accurately, and identify low-cost imitation of olive oil.

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http://dx.doi.org/10.1016/j.foodchem.2022.133763DOI Listing

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