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\begin{document}

\title{Discrimination of Camellia seed oils processed by different extraction
methods based on electronic tongue technology}



\author[1]{Di Duan}%
\author[1]{Bingju He}%
\author[1]{Ruihui Tang}%
\author[1]{Liuxia Yang}%
\author[1]{Zecao Zhang}%
\author[1]{Shucai Su}%
\author[2]{Guoping Wang}%
\author[2]{Deyi Zhang}%
\author[1]{Chunhui Zhou}%
\author[1]{Jing Li}%
\author[1]{Maocheng Deng}%
\affil[1]{Guangdong Industry Technical College}%
\affil[2]{Guangdong Fanlong Agricultural Technology Development Co., Ltd}%


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  \date{May 24, 2024}


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\begin{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 of Camellia oils has shown promising application in the
characterization of Camellia oils in the oil quality evaluation.%
\end{abstract}%



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