Citation: CHEN Sen-Lin, HUANG Man-Yan, LIN Yun, TAO Hong, HU Yu-Ling, YE Wei-Min, LI Gong-Ke. Liquid Chromatography Coupled with Multivariate Statistics for Investigation of Relationship between Polyphenols and Aroma Types of Tobacco[J]. Chinese Journal of Analytical Chemistry, ;2019, 47(5): 725-730. doi: 10.19756/j.issn.0253-3820.181680 shu

Liquid Chromatography Coupled with Multivariate Statistics for Investigation of Relationship between Polyphenols and Aroma Types of Tobacco

1.
China Tobacco Guangdong Industrial Co. Ltd., Guangzhou 510385, China;
2.
School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China

Received Date: 26 October 2018
Revised Date: 16 January 2019

Polyphenols are very important secondary metabolites that affect the aroma types and quality of tobacco. For this purpose, a simple ultrasonic assisted solvent extraction combined with liquid chromatography was developed for rapid determination of polyphenols in tobacco. Multivariate analyses including principal component analysis (PCA), cluster analysis (CA) and discriminant analysis (DA) were employed to provide a visual comparison of three aroma types of tobacco. The first two principal components which explained 67.9% of the total variation showed obvious distinction from principal component score. All samples could be classified into three clusters which corresponded to the three aroma types, and were consistence with an average recognition ability of 90.2% of Fisher's discriminant analysis. In addition, the relationship between polyphenols and geographical origin was also studied, and the results showed their potential relationship. These results demonstrated that polyphenols could be used as the useful variables to characterize the aroma types and geographical origin of tobacco, which might be suitable for monitoring quality of tobacco.
- Liquid chromatography,
- Multivariate analysis,
- Polyphenols,
- Tobacco,
- Aroma types,
- Geographical origin
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沈阳化工大学材料科学与工程学院沈阳 110142