• Spectroscopy and Spectral Analysis
  • Vol. 31, Issue 2, 390 (2011)
ZHANG Ya-juan1、*, MA Xiang2, ZHANG Ye-hui1, MI Jin-rui3, XU Li1, WANG Yi2, WEN Ya-dong2, ZHAO Long-lian1, LI Jun-hui1, and ZHANG Lu-da3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: Cite this Article
    ZHANG Ya-juan, MA Xiang, ZHANG Ye-hui, MI Jin-rui, XU Li, WANG Yi, WEN Ya-dong, ZHAO Long-lian, LI Jun-hui, ZHANG Lu-da. The Application of Near-Infrared Diffuse Reflection Spectra Based on the Principle of Linear Additive in Tobacco Redrying Formula[J]. Spectroscopy and Spectral Analysis, 2011, 31(2): 390 Copy Citation Text show less

    Abstract

    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.
    ZHANG Ya-juan, MA Xiang, ZHANG Ye-hui, MI Jin-rui, XU Li, WANG Yi, WEN Ya-dong, ZHAO Long-lian, LI Jun-hui, ZHANG Lu-da. The Application of Near-Infrared Diffuse Reflection Spectra Based on the Principle of Linear Additive in Tobacco Redrying Formula[J]. Spectroscopy and Spectral Analysis, 2011, 31(2): 390
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