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Quantitative analysis of pyrolysis characteristics and chemical components of tobacco materials based on machine learning.

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第一作者： Zhifeng,Wu

第一单位： Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China.

作者： Zhifeng,Wu ^[1] ; Qi,Zhang ^[1] ; Hongxiao,Yu ^[2] ; Lili,Fu ^[1] ; Zhen,Yang ^[3] ; Yan,Lu ^[1] ; Zhongya,Guo ^[4] ; Yasen,Li ^[3] ; Xiansheng,Zhou ^[2] ; Yingjie,Liu ^[5] ; Le,Wang ^[1]

作者单位： Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China. ^[1] Technology Center, China Tobacco Shandong Industrial Co., Ltd., Jinan, China. ^[2] Ministry and Municipality Jointly Build the Key Laboratory of Sichuan Province for Efficient Utilization of Domestic Cigar Tobacco Leaf Industry, Chengdu, China. ^[3] Technology Center, China Tobacco Guangdong Industrial Co., Ltd., Guangzhou, China. ^[4] Qingzhou Cigarette Factory, China Tobacco Shandong Industrial Co., Ltd., Qinzhou, China. ^[5]

关键词 characteristic temperature range chemical components machine learning thermogravimetric analysis tobacco material

DOI 10.3389/fchem.2024.1353745

PMID 38380396

发布时间 2024-02-22

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Quantitative analysis of pyrolysis characteristics and chemical components of tobacco materials based on machine learning.

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Quantitative analysis of pyrolysis characteristics and chemical components of tobacco materials based on machine learning.

Frontiers in chemistry

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Frontiers in chemistry

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