Rapid prediction of nucleosides content and origin traceability of Boletus bainiugan using Fourier transform near-infrared spectroscopy combined with chemometrics.

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  • Author(s): Deng G;Deng G;Deng G; Liu H; Liu H; Li J; Li J; Wang Y; Wang Y
  • Source:
    Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2025 Feb 15; Vol. 327, pp. 125421. Date of Electronic Publication: 2024 Nov 10.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Elsevier Country of Publication: England NLM ID: 9602533 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3557 (Electronic) Linking ISSN: 13861425 NLM ISO Abbreviation: Spectrochim Acta A Mol Biomol Spectrosc Subsets: MEDLINE
    • Publication Information:
      Publication: : Amsterdam : Elsevier
      Original Publication: [Kidlington, Oxford, U.K. ; Tarrytown, NY] : Pergamon, c1994-
    • Subject Terms:
      Nucleosides*/analysis; Spectroscopy, Fourier Transform Infrared/methods ; Chemometrics/methods ; Basidiomycota/chemistry ; Spectroscopy, Near-Infrared/methods ; Neural Networks, Computer
    • Abstract:
      Boletus bainiugan has high nutritional and economic values. As one of the potential medicinal active ingredients, nucleosides have important research significance. Porcini mushrooms fraud is frequently detected on the market, including substitute inferior into superior and lack of geographical origin's certification. This behavior results in economic loss and health damage to consumers. Fourier transform near-infrared (FT-NIR) spectroscopy is a fast, efficient and reliable analytical tool. In the present study, the effect of source environment (climatic factors) on nucleoside content is analyzed for the first time. Then, the FT-NIR spectroscopy to study the origin traceability and content prediction of Boletus bainiugan are utilized. The results indicate that the nucleoside content is associated with precipitation and temperature. The combination of synchronous two-dimensional correlation spectroscopy (2DCOS) with residual neural networks (ResNet) model obtains the precise identification of the origin of Boletus bainiugan, with an accuracy of 100%. In the prediction models of content for uridine, guanosine, and adenosine, the optimal coefficient of determination of predictive set (R 2 P ) is 0.901, and the optimum residual prediction deviation (RPD) is 3.178. FT-NIR spectroscopy has proven to be an environmentally friendly and non-destructive analytical tool for accurate origin traceability and content prediction.
      Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
      (Copyright © 2024 Elsevier B.V. All rights reserved.)
    • Contributed Indexing:
      Keywords: Climatic factors; Fourier transform near-infrared spectroscopy; Nucleoside compounds; Residual neural networks; Two-dimensional correlation spectroscopy
    • Accession Number:
      0 (Nucleosides)
    • Publication Date:
      Date Created: 20241113 Date Completed: 20241207 Latest Revision: 20241207
    • Publication Date:
      20241209
    • Accession Number:
      10.1016/j.saa.2024.125421
    • Accession Number:
      39536669