Tobacco substitution and cigarette blend maintenance based on near-infrared spectral similarity

LI Shitou1 LIAO Fu1 HE Wenmiao1 ZHANG Lili1 TIE Jinxin1 LI Yongsheng1 HAO Xianwei1 TIAN Yunong1 BI Yiming1 WU Jizhong1 WANG Hui1 XU Qingquan1

(1.Technology Center, China Tobacco Zhejiang Industrial Co., Ltd.)

【Abstract】Near-infrared spectroscopic spectral similarity was investigated and applied to tobacco substitution and cigarette blend maintenance. By means of a local spectral pre-processing and an ensemble spectral similarity algorithm, any interference on baseline and scattering in the spectrum was eliminated and the technique was used for characterizing tobacco leaf based on spectral similarity to aid cigarette blending. The results showed that the matching rates according to the spectral similarity with target strips were 82.0% and 75.7% viewed from the producing area and stalk position respectively. The average differences in main chemical components, such as total sugar and nicotine, were less than 5%. There was no significant difference in chemical components and sensory indicators between the original blend and a simulated blend obtained through combining strip similarity with strip combination similarity.

【Keywords】 Cigarette blend; Near-infrared spectrum; Spectral similarity; Sensory evaluation; Tobacco leaf substitution; Formula maintenance ;


【Funds】 Science and Technology Project of China Tobacco Zhejiang Industrial Co., Ltd. (ZJZY2015A005)

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(Translated by ZHAO B)


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This Article



Vol 53, No. 02, Pages 88-93

February 2020


Article Outline


  • 1 Materials and methods
  • 2 Results and analysis
  • 3 Conclusion
  • References