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