Spectroscopy and Spectral Analysis, Volume. 41, Issue 12, 3765(2021)

Quantitative Detection of Ascorbic Acid Additive in Flour Based on Raman Imaging Technology

Xiao-bin WANG1、*, Xi ZHANG1、1;, Chen-zhi GUAN1、1;, Hua-xiu HONG1、1;, Shuang-gen HUANG2、2; *;, and Chun-jiang ZHAO3、3;
Author Affiliations
  • 11. School of Physics and Electronic Information, Nanchang Normal University, Nanchang 330032, China
  • 22. Key Laboratory of Modern Agricultural Equipment, Jiangxi Agricultural University, Nanchang 330045, China
  • 33. National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
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    Figures & Tables(6)
    Average Raman spectra of (a) ascorbic acid and (b) flour
    Average Raman spectra of flour-ascorbic acid mixed samples
    Regression coefficients of PLS model
    Classification image of mixed samples
    Linear relationship model between the concentration of ascorbic acid and its detection pixels
    • Table 1. Detection results of ascorbic acid in mixed sample images

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      View in Article

      Table 1. Detection results of ascorbic acid in mixed sample images

      浓度/%子样品1子样品2子样品3子样品4平均
      0.0142343.25
      0.021416141414.5
      0.055146515250
      0.087777738177
      0.10111119114109113.25
      0.20225228212219221
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    Xiao-bin WANG, Xi ZHANG, Chen-zhi GUAN, Hua-xiu HONG, Shuang-gen HUANG, Chun-jiang ZHAO. Quantitative Detection of Ascorbic Acid Additive in Flour Based on Raman Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3765

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    Paper Information

    Category: Research Articles

    Received: Apr. 2, 2021

    Accepted: --

    Published Online: Dec. 17, 2021

    The Author Email: Xiao-bin WANG (tawangxiaobin@126.com)

    DOI:10.3964/j.issn.1000-0593(2021)12-3765-06

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