The Journal of Light Scattering, Volume. 37, Issue 2, 213(2025)

Raman spectroscopy detection of natural beeswax and paraffin mixture based on backpropagation neural network algorithm

Han Xiaojuan1、*, Wang Yahui1, Zhou Fumin2, and Xu Yangji3
Author Affiliations
  • 1Jinzhong Vocational and Technical College, Jinzhong, Shanxi 030600, China
  • 2College of Food Science and Engineering, Shani Agricultural University, Jinzhong, Shanri 030801, China
  • 3College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China
  • show less
    References(3)

    [4] [4] Edwards H G M, Falk M J P. Fourier-transform Raman spectroscopic study of unsaturated and saturated waxes[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 1997, 53(14): 2685-2694.

    [16] [16] Polat E, Gunay S. The comparison of partial least squares regression, principal component regression and ridge regression with multiple linear regression for predicting pm10 concentration level based on meteorological parameters[J]. Journal of Data science, 2015, 13(4): 663-692.

    [20] [20] Edwards H G M, Farwell D W, Daffner L. Fourier-transform Raman spectroscopic study of natural waxes and resins. I[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 1996, 52(12): 1639-1648.

    Tools

    Get Citation

    Copy Citation Text

    Han Xiaojuan, Wang Yahui, Zhou Fumin, Xu Yangji. Raman spectroscopy detection of natural beeswax and paraffin mixture based on backpropagation neural network algorithm[J]. The Journal of Light Scattering, 2025, 37(2): 213

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Oct. 8, 2024

    Accepted: Jul. 31, 2025

    Published Online: Jul. 31, 2025

    The Author Email: Han Xiaojuan (hanxiaojuan83@163.com)

    DOI:10.13883/j.issn1004-5929.202502008

    Topics