• Spectroscopy and Spectral Analysis
  • Vol. 32, Issue 3, 795 (2012)
LI Gang1、*, XIONG Chan1, LIN Ling1, TONG Ying2, and ZHANG Bao-ju2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2012)03-0795-05 Cite this Article
    LI Gang, XIONG Chan, LIN Ling, TONG Ying, ZHANG Bao-ju. Feasibility of Composition Analysis of Complex Mixed Solution by Hyperspectral Technique[J]. Spectroscopy and Spectral Analysis, 2012, 32(3): 795 Copy Citation Text show less

    Abstract

    The complex mixed solution is a common material form in all walks of life. It was difficult to achieve the desired results if the complex mixed solution was detected by the traditional spectral analysis method. The hyperspectral technology was taken to detect the complex mixed solution to improve the signal to noise ratio of the spectrum by utilizing the absorbing and scattering characteristics of the analytes at the same time. A hyperspectral acquisition device was designed to collect the diffuse reflectance hyperspectral images of the analytes (Intralipid-10%). The Monte Carlo simulation and the diffuse approximation were used to validate the experimental device. The authors found that the absorption coefficient of the Intralipid-10% at 632 nm was 0.002 0 cm-1 and the reduced scattering coefficient was 63.35 cm-1; the corresponding relative error of the standard reference was 11.1% and 6.49%. The inversion result of the diffuse approximation validated the exactness of the experimental device. Finally, the hyperspectral images of milk and fruit juice from different manufacturers were taken, the images show that the differences between different samples were more obvious than that of traditional 2-dimensional spectrum. This research reveals that the hyperspectral technology is feasible in the component analysis of complex mixed solution.
    LI Gang, XIONG Chan, LIN Ling, TONG Ying, ZHANG Bao-ju. Feasibility of Composition Analysis of Complex Mixed Solution by Hyperspectral Technique[J]. Spectroscopy and Spectral Analysis, 2012, 32(3): 795
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