• Frontiers of Optoelectronics
  • Vol. 6, Issue 2, 216 (2013)
Jinrui MI1、2, Luda ZHANG2, Longlian ZHAO1, and Junhui LI1、*
Author Affiliations
  • 1College of Information and Electrical Engineering, China Agriculture University, Beijing 100083, China
  • 2College of Science, China Agriculture University, Beijing 100083, China
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    Abstract

    Based on the effect of sample size on the nearinfrared (NIR) spectrum, the absorbance (log(R)) in any wavelength is divided into two parts, and one of them is defined as non-particle-size-related spectrometry (nPRS) because it is not influenced by particle size. To study the relationship between the absorbance and particle size, the experiment material including nine samples with different particle size was used. According to the regression analysis, the relationship was studied as the reciprocal regression model, y = a + bx + c/x. Meanwhile, the model divides absorbance into two parts, one of them forms nPRS. According to the nPRS, a new correction method, particle size regression correction (PRC) was introduced. In discriminate analysis, the spectra from three different samples (rice, glutinous rice and sago), pretreated by PRC, could be directly and accurately distinguished by principal component analysis (PCA), while by the traditional correction method, such as multiplicative signal correction (MSC) and standard normal variate (SNV), could not do that.
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    Jinrui MI, Luda ZHANG, Longlian ZHAO, Junhui LI. Particle size regression correction for NIR spectrum based on the relationship between absorbance and particle size[J]. Frontiers of Optoelectronics, 2013, 6(2): 216
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    Category: RESEARCH ARTICLE
    Received: Feb. 20, 2013
    Accepted: Mar. 18, 2013
    Posted: Feb. 1, 2013
    Published Online: Mar. 3, 2014
    The Author Email: LI Junhui (caunir@cau.edu.cn)