JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 38 Issue 4
August 2023
Article Contents
ZHANG Ziying, GUO Weimin, XU Wentao, et al. Screening of key appearance characteristics affecting sensory quality of flue-cured tobacco based on partial least squares regression[J]. Journal of Light Industry, 2023, 38(4): 90-97. doi: 10.12187/2023.04.012
Citation: ZHANG Ziying, GUO Weimin, XU Wentao, et al. Screening of key appearance characteristics affecting sensory quality of flue-cured tobacco based on partial least squares regression[J]. Journal of Light Industry, 2023, 38(4): 90-97. doi: 10.12187/2023.04.012 shu

Screening of key appearance characteristics affecting sensory quality of flue-cured tobacco based on partial least squares regression

  • Received Date: 2022-06-07
    Accepted Date: 2022-08-08
  • In order to clarify the key appearance factors affecting sensory quality of flue-cured tobacco, 265 middle and upper leaf samples with different appearance factors were collected from 6 planting areas. The appearance characteristics and their relationship of sensory quality were analyzed using Spearman correlation and partial least squares regression. The results showed that appearance characteristics data except oil of upper leaves did not conform to the normal distribution. Appearance quality scores of middle leaf samples except leaf body had significant positive correlation with sensory quality total scores at the level of 0.1%. The color purity, maturity, leaf structure, luster, softness and oil of upper leaf samples had significant positive correlation with sensory quality total scores at the level of 0.1%. The body of upper leaves had significant negative correlation with sensory quality total scores at the level of 0.1%. The cumulative contribution rate of oil, softness and leaf structure to aroma quality and total sensory quality of middle leaves accounted for 49.62% and 51.07% respectively. The cumulative contribution rate of these 3 appearance characteristics (oil, softness and leaf structure) to aroma quantity and total sensory quality of upper leaves accounted for 43.19% and 44.30% respectively. Leaf structure, softness and leaf oil were the key factors affecting the sensory quality of the upper and middle leaves, which could be applied to industrial grading research.
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