Good/Bad Quantitative Mode Screening and Application for Characteristic Components of Tobacco Source
Year: 2025
Type: article
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.
Source: Flavour and Fragrance Journal
DOI: 10.1002/ffj.3874
Authors: Chao Li, E' Xian Li, Duoqing Fan, Xiangrui Ye, Haowei Sun, Haocheng Cai, Fangrui Chen, Xingyue Zhang, Senlin Tian, Qianxu Yang
Language: English
Subfield: Food Science
Domain: Life Sciences
Open Access status: bronze
Award: G3132711184
OpenAlex ID: W4410793341
