Spectroscopy and Spectral Analysis, Volume. 44, Issue 1, 44(2024)

Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods

GAO Feng1...2,*, XING Ya-ge3,4, LUO Hua-ping1,2, ZHANG Yuan-hua3,4, and GUO Ling34 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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  • 4[in Chinese]
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    [2] [2] Gómez-Martínez H, Bermejo A, Zuriaga E, et al. Scientia Horticulturae, 2021, 277: 109828.

    [4] [4] Fratianni F, DAcierno A, Albanese D, et al. Foods, 2021, 11(1): 100.

    [5] [5] Yang Z L, Cai L W, Han L J, et al. Journal of Near Infrared Spectroscopy, 2021, 29(6): 313.

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    [12] [12] Tong P J, Junliang K L, Wei T T, et al. Journal of Cereal Science, 2021, 102: 103322.

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    [15] [15] Qian L L, Li D W, Song X J, et al. Journal of Food Composition and Analysis, 2022, 105: 104203.

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    GAO Feng, XING Ya-ge, LUO Hua-ping, ZHANG Yuan-hua, GUO Ling. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. Spectroscopy and Spectral Analysis, 2024, 44(1): 44

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    Paper Information

    Received: May. 30, 2022

    Accepted: --

    Published Online: Jul. 31, 2024

    The Author Email: Feng GAO (glzky@163.com)

    DOI:10.3964/j.issn.1000-0593(2024)01-0044-08

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