The Journal of Light Scattering, Volume. 37, Issue 1, 101(2025)

Quantitative analysis of atropine sulfate in eye drops based on surface-enhanced Raman spectroscopy and machine learning

BAO Lin1, XU Zixuan2, FANG Guoqiang2, HAN Siqingaowa3、*, and HASI Wuliji2
Author Affiliations
  • 1College of Physics and Electronics Information, Inner Mongolia Minzu University, Tongliao 02800, China
  • 2National Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150080, China
  • 3Affiliated Hospital of Inner Mongolia Minzu University, Tongliao 028007, China
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    References(4)

    [8] [8] Chen D D, Xie X F, Ao H, et al. Raman spectroscopy in quality control of Chinese herbal medicine[J]. Journal of the Chinese Medical Association, 2016, 80(5): 288-296.

    [10] [10] Yang FW, Wang C, Yu H, et al. Establishment of the thin-layer chromatography-surface-enhanced Raman spectroscopy and chemometrics method for simultaneous identification of eleven illegal drugs in anti-rheumatic health food[J]. Food Bioscience, 2022, 49: 101842.

    [11] [11] Sha XY, Fang GQ, Cao GX, et al. Qualitative and quantitative detection and identification of two benzodiazepines based on SERS and convolutional neural network technology[J]. Analyst, 2022, 147(24): 5785.

    [12] [12] Lussier F, Thibault V, Charron B, et al. Deeplearning and artificial intelligence methods for Raman and surface-enhanced Raman scattering[J]. Trends Anal Chem, 2020, 124: 115796.

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    BAO Lin, XU Zixuan, FANG Guoqiang, HAN Siqingaowa, HASI Wuliji. Quantitative analysis of atropine sulfate in eye drops based on surface-enhanced Raman spectroscopy and machine learning[J]. The Journal of Light Scattering, 2025, 37(1): 101

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    Paper Information

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    Received: Oct. 29, 2024

    Accepted: Apr. 30, 2025

    Published Online: Apr. 30, 2025

    The Author Email: HAN Siqingaowa (hansiqin@126.com)

    DOI:10.13883/j.issn1004-5929.202501014

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