The Journal of Light Scattering, Volume. 34, Issue 2, 172(2022)

Classification and identification of soybean varieties by density functional theory combined with Raman spectroscopy

WANG Shengnan1、*, SONG Shaozhong2, ZHANG Yixiang1, LIU Chunyu1, LI Zheng1, Han Yu1, and TAN Yong1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    [12] [12] Singh R, Wrobel T P, Mukherjee P, et al. EXPRESS: Bulk Protein and Oil Prediction in Soybean Using Transmission Raman Spectroscopy:A Comparison of Approaches to Optimize Accuracy[J]. Applied Spectroscopy, 2018, 73(3):0003702818815 64.

    [15] [15] Liu Q, Wang Z, Long Y,et al. Variety classification of coated maize seeds based on Raman hyperspectral imaging[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, 270:120772.

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    [18] [18] Johnson R. NIST Computational Chemistry Comparison and Benchmark Database[J]. 2013.

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    WANG Shengnan, SONG Shaozhong, ZHANG Yixiang, LIU Chunyu, LI Zheng, Han Yu, TAN Yong. Classification and identification of soybean varieties by density functional theory combined with Raman spectroscopy[J]. The Journal of Light Scattering, 2022, 34(2): 172

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    Paper Information

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    Received: Dec. 17, 2021

    Accepted: --

    Published Online: Feb. 4, 2023

    The Author Email: Shengnan WANG (2631511867@qq.com)

    DOI:10.13883/j.issn1004-5929.202202011

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