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作 者:陈森林[1] 黄曼艳 林云[1] 陶红[1] 胡玉玲[2] 叶为民[1] 李攻科[2] CHEN Sen-Lin;HUANG Man-Yan;LIN Yun;TAO Hong;HU Yu-Ling;YE Wei-Min;LI Gong-Ke(China Tobacco Guangdong Industrial Co. Ltd., Guangzhou 510385, China;School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China)
机构地区:[1]广东中烟工业有限责任公司技术中心,广州510385 [2]中山大学化学学院,广州510275
出 处:《分析化学》2019年第5期725-730,共6页Chinese Journal of Analytical Chemistry
基 金:广东中烟工业有限责任公司科技计划项目(No.粤烟工[2017]科字第002号)资助
摘 要:采用超声辅助萃取-液相色谱法快速测定烟叶中8种多酚类致香前体物质,通过测定51份烟叶样品中多酚类含量差异,结合主成分分析、聚类分析和判别分析等多元统计方法,对烟叶香型进行区分和判定。结果表明,前两个主成分累计贡献率为67.9%,从主成分得分图中可直观显示清香型、中间香型和浓香型的分类趋势,采用层次聚类分析可将51份烟叶样品分为3种香型,与交互验证率为90.2%的Fisher's判别分析的结果相一致。此外,研究了多酚类物质与产地的关系,主成分得分图中初步显示了不同产地烟叶的分类趋势。本研究结果表明,多酚类物质结合多元统计方法可应用于烟叶香型、产地分类的分析。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.
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