Rapid identification of adulterated camellia seed oil by e-nose combined with chemometrics

Authors

GUAN-ZHAO Yi-zhu, School of Food Science and Bioengineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China
FANG Fang, School of Food Science and Bioengineering, Changsha University of Science and Technology, Changsha, Hunan 410114, ChinaFollow
WANG Yao-yao, School of Food Science and Bioengineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China
TIAN Zi-jing, School of Food Science and Bioengineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China
YANG Jian-an, Guizhou Research Institute of Chemical Engineering, Guiyang, Guizhou 550002, China
WANG Jian-hui, School of Food Science and Bioengineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China

Corresponding Author(s)

方芳（1979—），男，长沙理工大学副教授，博士。E-mail：lgdx08@sina.com

Abstract

Objective： To establish a rapid qualitative and quantitative method for the adulteration of Camellia seed oil. Methods： The electronic nose technology combined with chemometrics was used to screen the difference variables based on one-way ANOVA. The qualitative model for identification of adulteration types of camellia seed oil was established through principal component analysis (PCA) and discriminant analysis (DA). A quantitative model for identifying the types and degrees of camellia seed oil adulteration was established using orthogonal partial least squares (OPLS). Results： The R² of the model was over 0.98, the RMSEE was lower than 0.005, and the RMSECV was lower than 0.01, which had the high performance indicators. Through external verification, the qualitative identification rate of DA model for camellia seed oil samples of different adulteration types was as high as 100%, and OPLS model had good accuracy. Conclusion： The electronic nose technology combined with chemometrics could realize the rapid and nondestructive identification of camellia seed oil adulteration.

Publication Date

10-20-2023

First Page

31

Last Page

36,179

DOI

10.13652/j.spjx.1003.5788.2022.81169

Recommended Citation

Yi-zhu, GUAN-ZHAO; Fang, FANG; Yao-yao, WANG; Zi-jing, TIAN; Jian-an, YANG; and Jian-hui, WANG (2023) "Rapid identification of adulterated camellia seed oil by e-nose combined with chemometrics," Food and Machinery: Vol. 39: Iss. 6, Article 6.
DOI: 10.13652/j.spjx.1003.5788.2022.81169
Available at: https://www.ifoodmm.cn/journal/vol39/iss6/6

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