基于ATR-FTIR技术的黄斑烟污染源鉴别
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(1. 郑州轻工业大学食品与生物工程学院,河南 郑州 450000;2. 红塔烟草〔集团〕有限责任公司玉溪卷烟厂,云南 玉溪 653100)

作者简介:

杜赫,女,郑州轻工业大学在读硕士研究生。

通讯作者:

张峻松(1971—),男,郑州轻工业大学教授,博士。E-mail:13283712413@163.com

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红塔烟草(集团)有限责任公司科技项目(编号:S-6018009.01)


Identification of staining in cigarette sources based on ATR-FTIR technology
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(1. School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou, Henan 450000, China; 2. Yuxi Cigarette Factory, Hongta Tobacco 〔Group〕 Co., Ltd., Yuxi, Yunnan 653100, China)

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    摘要:

    利用衰减全反射红外光谱法(ATR-FTIR)分别采集自制黄斑烟及实际黄斑烟上污染斑点的光谱图,通过直观比较、数据库检索、相似度计算的方法,对烟支污染来源进行分析,并结合Bootstrap法设定相似度阈值,建立黄斑烟污染源的鉴别模型。结果表明,该方法对验证样品鉴别正确率达100%,可实现对黄斑烟支污染来源的定性分析,而且方法精密度好、重现性强,RSD均<0.01%(n=5)。

    Abstract:

    The spectrum of self-made staining in cigarette and actual staining in cigarette spots were collected by attenuated (ATR-FTIR). Through the methods of intuitive comparison, database retrieval and similarity calculation, the sources of cigarette pollution were analyzed. And the Bootstrap method was used to set the similarity threshold, and the identification model of the staining in cigarette pollution source was established. The results showed that the method could verify the correct rate of the sample with 100%, and realize the qualitative analysis of the source of the staining in cigarette pollution. The method has good precision and reproducibility, and the RSD is less than 0.01% (n=5). The method can accurately detect the cause of the actual staining in cigarette, and is suitable for the detection of the source of the staining in cigarette.

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引用本文

杜赫,李晓波,马俊,等.基于ATR-FTIR技术的黄斑烟污染源鉴别[J].食品与机械,2019,(11):85-88.
DU He, LI Xiao bo, MA Jun, et al. Identification of staining in cigarette sources based on ATR-FTIR technology[J]. Food & Machinery,2019,(11):85-88.

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  • 收稿日期:2019-07-03
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  • 在线发布日期: 2022-11-24
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