Spectroscopy and Spectral Analysis, Volume. 45, Issue 9, 2491(2025)

Origin Discrimination and Soluble Protein Content Prediction of Dried Daylily Based on Near Infrared Spectroscopy

ZHANG Xue-li1,2, YANG Hao1,2, LI Chen-fei1,2, SUN Yi-le1,2, LIU Zong-lin1,2, ZHENG De-cong1,2, and SONG Hai-yan1,2、*
Author Affiliations
  • 1College of Agricultural Engineering, Shanxi Agricultural University, Taigu 030801, China
  • 2Dryland Farm Machinery Key Technology and Equipment Key Laboratory of Shanxi Province, Taigu 030801, China
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    References(6)

    [4] [4] Eisenstecken D, Strz B, Robatscher P, et al. Postharvest Biology and Technology, 2019, 147: 123.

    [7] [7] Bartwal A, John R, Padhi S R, et al. Journal of Food Composition and Analysis, 2023, 116: 105087.

    [9] [9] Wold S, Sjstrm M, Eriksson L. Chemometrics and Intelligent Laboratory Systems, 2001, 58(2): 109.

    [10] [10] Breiman L. Machine Learning, 2001, 45(1): 5.

    [11] [11] Cortes C, Vapnik V. Machine Learning, 1995, 20(3): 273.

    [16] [16] Esteki M, Shahsavari Z, Simal-Gandara J. Food Research International, 2019, 122: 303.

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    ZHANG Xue-li, YANG Hao, LI Chen-fei, SUN Yi-le, LIU Zong-lin, ZHENG De-cong, SONG Hai-yan. Origin Discrimination and Soluble Protein Content Prediction of Dried Daylily Based on Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2025, 45(9): 2491

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    Paper Information

    Received: Dec. 11, 2024

    Accepted: Sep. 19, 2025

    Published Online: Sep. 19, 2025

    The Author Email: SONG Hai-yan (yybbao@sxau.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2025)09-2491-05

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