Spectroscopy and Spectral Analysis, Volume. 40, Issue 10, 3260(2020)
Reliability and Chemical Composition Analysis of Tobacco Leaf Grade Model by Near-Infrared Spectroscopy
Figures & Tables(7)
Table 1. Sample and parts
View tableView in ArticleTable 1. Sample and parts
部位 2014年 2015年 2016年 总计 上部 85 65 50 200 中部 85 65 50 200 下部 85 65 0 150
Table 2. Category code
Table 3. Part discrimination results based on near-infrared data (internal cross)
View tableView in ArticleTable 3. Part discrimination results based on near-infrared data (internal cross)
识别合理率(%): 97.80 识别错误率(%): 2.20 烟叶部位 上部 中部 下部 上部 92.86 7.14 0.00 中部 14.37 74.25 11.38 下部 2.20 26.37 71.43
Table 4. Organic groups absorbed in different frequency ranges
View tableView in ArticleTable 4. Organic groups absorbed in different frequency ranges
波数/cm-1 振动基团 主要结构 4 250~4 350 C—H等 纤维素 4 700~4 800 O—H等 淀粉等糖类物质 5 100~5 200 N—H, C=O等 酰胺
Table 5. Chemical composition characteristics of different grades of tobacco in Sichuan Province
View tableView in ArticleTable 5. Chemical composition characteristics of different grades of tobacco in Sichuan Province
总糖 烟碱 总氮 纤维素 酰胺 上部 低 高 高 高 高 中部 高 中 中 中 中 下部 高 低 低 低 低
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Yi-lin LIU, Hai-yan ZHANG, Hai-gen PENG, Long-lian ZHAO, Xiao-qiu TAO, Jun-hui LI. Reliability and Chemical Composition Analysis of Tobacco Leaf Grade Model by Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2020, 40(10): 3260
Paper Information
Category: Research Articles
Received: Jul. 24, 2019
Accepted: --
Published Online: Jun. 18, 2021
The Author Email: LIU Yi-lin (lyl3350liu@163.com)
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