Good/Bad Quantitative Mode Screening and Application for Characteristic Components of Tobacco Source

ABSTRACT To reveal the main chemical components that are associated with aroma characteristics, a good/bad variable screening method based on quantitative pattern‐sense relationship (QPSR) was established. A total of 810 different tobacco leaf samples were collected and their style characteristics and sensory quality were determined. The main chemical components were analysed by high performance liquid chromatography (HPLC). The results showed that the components in the retention time range from 24.5 to 28.0 min in the HPLC chromatogram were the most important interval for distinguishing sweet and sweet flavours, and there were two characteristic time points at 24.77 and 25.65 min in this interval. The two retention time periods from 9.0 to 12.5 min and from 18.0 to 22.0 min were the second most important interval. The characteristic components and components of sweetness, grassy aroma, caramel, sour, nutty, woody, and honey‐sweet were screened. The retention time has a good negative logarithmic p value within 13.1–32.9 min. The good/bad variable screening method and the selected characteristic components could be used for the distinction of tobacco characteristic components with assigned sensory evaluation results.

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Publication Details

Journal
Flavour and Fragrance Journal
Published
2025-05-26
DOI
https://doi.org/10.1002/ffj.3874
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Good/Bad Quantitative Mode Screening and Application for Characteristic Components of Tobacco Source

X J Ye, Duoqing Fan, Haocheng Cai, E’xian Li et al.
Flavour and Fragrance Journal
Advanced Chemical Sensor Technologies
article

Good/Bad Quantitative Mode Screening and Application for Characteristic Components of Tobacco Source

X J Ye, Duoqing Fan, Haocheng Cai, E’xian Li, Fangrui Chen, Haowei Sun, Qianxu Yang, Chao Li, Senlin Tian, Xingyue Zhang
article en

Abstract

ABSTRACT To reveal the main chemical components that are associated with aroma characteristics, a good/bad variable screening method based on quantitative pattern‐sense relationship (QPSR) was established. A total of 810 different tobacco leaf samples were collected and their style characteristics and sensory quality were determined. The main chemical components were analysed by high performance liquid chromatography (HPLC). The results showed that the components in the retention time range from 24.5 to 28.0 min in the HPLC chromatogram were the most important interval for distinguishing sweet and sweet flavours, and there were two characteristic time points at 24.77 and 25.65 min in this interval. The two retention time periods from 9.0 to 12.5 min and from 18.0 to 22.0 min were the second most important interval. The characteristic components and components of sweetness, grassy aroma, caramel, sour, nutty, woody, and honey‐sweet were screened. The retention time has a good negative logarithmic p value within 13.1–32.9 min. The good/bad variable screening method and the selected characteristic components could be used for the distinction of tobacco characteristic components with assigned sensory evaluation results.

Flavour and Fragrance JournalVol. 40(5)
Kunming University of Science and Technology (CN), China Tobacco (CN), Yunnan Academy of Agricultural Sciences (CN)
National Natural Science Foundation of China, China National Tobacco Corporation
Openalex Percentile: Top 89%
Advanced Chemical Sensor Technologies
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Good/Bad Quantitative Mode Screening and Application for Characteristic Components of Tobacco Source — X J Ye, Duoqing Fan, et al. · Flavour and Fragrance Journal (2025) | TGRS Research Map | TGRS