HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (21): 147-151.doi: 10.14088/j.cnki.issn0439-8114.2022.21.028

• Detection Analysis • Previous Articles     Next Articles

Rapid identification of camellia oil mixed with four vegetable oils

HUANG Geng-sheng1a, RUAN Mei1a, CHEN Xing-fa1b, BU Dan2, MU Hong-tao1a   

  1. 1. a. College of Biological and Food Engineering; b. School of Mathematics, Guangdong University of Education, Guangzhou 510303,China;
    2. Guangzhou Overseas Chinese Hospital, Guangzhou 510630, China
  • Received:2021-10-01 Online:2022-11-10 Published:2022-12-10

Abstract: In order to identify the adulteration of camellia oil, the fluorescence scanning of camellia oil mixed with four other vegetable oils was carried out based on the Front surface fluorescence technology. Different camellia oil samples were prepared with 5%, 10%, 20%, 30% and 40% as the volume gradient, respectively. The first four principal components were used to establish the discrimination model of camellia oil adulteration. The results showed that there were significant differences in fluorescence characteristics between camellia oil and the other four vegetable oils. Under the excitation wavelength of 250~380 nm and the emission wavelength of 260~550 nm, the principal component analysis was carried out by Front surface fluorescence. The total contribution rate of the first four principal components was more than 85%. Through further analysis of Fisher discriminant analysis, the adulteration recognition rate of camellia oil was as high as 100%. This method could realize the qualitative and quantitative analysis of camellia oil, and had high sensitivity and fast characteristics.

Key words: camellia oil, detection, Front surface fluorescence technology, PCA, Fisher discriminant analysis

CLC Number: