Di Duana, Bingju Hea, Ruihui Tanga, Liuxia Yanga, Zecao Zhanga, Shucai Sua, Guoping Wangb, Deyi Zhangb, Chunhui Zhoua, Jing Lia, Maocheng Denga*
aCenter of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou 510300, China
bGuangdong Fanlong Agricultural Technology Development Co., Ltd, Jieyang 522000, China
Abstract
Analytical methods involving electronic tongue technique combined with chemometrics analysis was proposed to discriminate oil variety and predict oil quality parameters. All the studied Camellia oil samples from pressing, n-hexane extraction and scCO2 extraction, were successfully discriminated by principal component analysis (PCA) and hierarchical cluster analysis (HCA). Furthermore, Multi Factor Linear Regression Model (MLRM) was established allowing predictive capacity of oil quality indicators, such as acid value (AV) and peroxide value (POV). The practical potential of e-tongue for the discrimination and assessment ofCamellia oils has shown promising application in the characterization of Camellia oils in the oil quality evaluation.
Keywords:Electronic tongue; Camellia oil; Physicochemical property; Chemometrics; Discrimination