The Journal of Light Scattering, Volume. 37, Issue 1, 60(2025)

Research on ElasticNet quantitative inversion algorithm and Raman spectroscopy detection for fish oil adulteration

LU Yujun1、*, XU Gang2, and LIU Huadong3
Author Affiliations
  • 1Intelligent Control Department of Shanxi Railway Vocational and Technical College, TaiYuan 030013, Shanxi, China
  • 2College of Information Science and Engineering, Shanxi Agricultural University, Jinzhong 030800, Shanxi, China
  • 3College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China
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    References(4)

    [11] [11] Gao B, Xu S, Han L, et al. FT-IR-based quantitative analysis strategy for target adulterant in fish oil multiply adulterated with terrestrial animal lipid[J]. Food Chemistry, 2020, 343(3): 128420.

    [15] [15] Vongsvivut J, Miller R M, McNaughton D, et al. Rapid discrimination and determination of polyunsaturated fatty acid composition in marine oils by FTIR spectroscopy and multivariate data analysis[J]. Food and bioprocess technology, 2014, 7(8): 2410-2422.

    [16] [16] Vincent B, Pierre H, Maria T M, et al. Oil and fat classification by FT-Raman spectroscopy[J]. Food Chemistry, 1998, 46(7): 2638-2646.

    [17] [17] Daniel P K, Asli C, Keith C G, et al. First Use of Handheld Raman Spectroscopy to Analyze Omega-3Fatty Acids in Intact Fish Oil Capsules[J]. Applied Spectroscopy, 2020, 74(3): 365-371.

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    LU Yujun, XU Gang, LIU Huadong. Research on ElasticNet quantitative inversion algorithm and Raman spectroscopy detection for fish oil adulteration[J]. The Journal of Light Scattering, 2025, 37(1): 60

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    Paper Information

    Category:

    Received: May. 9, 2024

    Accepted: Apr. 30, 2025

    Published Online: Apr. 30, 2025

    The Author Email: LU Yujun (yujun199109@163.com)

    DOI:10.13883/j.issn1004-5929.202501009

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