The Application of Near-Infrared Diffuse Reflection Spectra Based on the Principle of Linear Additive in Tobacco Redrying Formula

被引:0
|
作者
Zhang Ya-juan [1 ]
Ma Xiang [2 ]
Zhang Ye-hui [1 ]
Mi Jin-rui [3 ]
Xu Li [1 ]
Wang Yi [2 ]
Wen Ya-dong [2 ]
Zhao Long-lian [1 ]
Li Jun-hui [1 ]
Zhang Lu-da [3 ]
机构
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
[2] Yuxi Hongta Grp, Ctr Technol, Yuxi 653100, Peoples R China
[3] China Agr Univ, Coll Sci, Beijing 100193, Peoples R China
关键词
Near infrared; Tobacco; Linear additive spectrum;
D O I
10.3964/j.jssn.1000-0593(2011)02-0390-04
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
In the process of analyzing and designing tobacco redrying formula using near infrared spectroscopy, a great deal of spectra for different ratio mixed samples are badly needed. However these sample spectra are very hard to obtain in the actual production process. Furthermore, for the samples of different grades it is difficult to achieve the goal of even mixing, in consequence of introducing inevitable errors. In order to solve the above problems, the present paper proposes to use "theory of even mixed spectrum" produced by linear additive near infrared spectroscopy in place of the spectra of actual mixed samples. This way can not only eliminate the errors caused by uneven mixture, but also leave out the course of mixing samples and measuring spectra and save time, effort, and material simultaneously. This article analyzes the comparison between linear additive spectra and the spectra of actual mixed samples from the following four aspects; original spectra, derivative spectra, principal components, and the data of PPF projection, accordingly verifing the feasibility and superiority of the linear additive spectra.
引用
收藏
页码:390 / 393
页数:4
相关论文
共 13 条
  • [1] JIANG J, 2005, MEAS TECH, V9, P45
  • [2] [江苏 JIANG Su], 2006, [光谱实验室, Chinese Journal of Spectroscopy laboratory], V23, P633
  • [3] LI SA, 2008, CHINA METROLOGY, V4, P81
  • [4] Pattern recognition of Chinese flue-cured tobaccos by an improved and simplified K-nearest neighbors classification algorithm on near infrared spectra
    Ni, Li-Jun
    Zhang, Li-Guo
    Xie, Juan
    Luo, Jian-Qun
    [J]. ANALYTICA CHIMICA ACTA, 2009, 633 (01) : 43 - 50
  • [5] QIU J, 2008, CHIN TOBACCO SCI, V29, P55
  • [6] A new approach to discriminate varieties of tobacco using vis/near infrared spectra
    Shao, Yongni
    He, Yong
    Wang, Yanyan
    [J]. EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2007, 224 (05) : 591 - 596
  • [7] Comparison of chemometric methods for brand classification of cigarettes by near-infrared spectroscopy
    Tan, Chao
    Qin, Xin
    Li, Menglong
    [J]. VIBRATIONAL SPECTROSCOPY, 2009, 51 (02) : 276 - 282
  • [8] [温亚东 WEN Ya-dong], 2009, [中国烟草学报, Acta Tabacaria Sinica], V15, P6
  • [9] Xia Xin'en Xia Xin'en, 2004, Transactions of the Chinese Society of Agricultural Engineering, V20, P172
  • [10] YAN Yan-lu, 2005, FDN APPL NIR SPECTRA, P13