Food and Fermentation Industries >

2023 , Vol. 49 >Issue 2: 271 - 279

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.033368

Application of margin influence analysis wavelength selection algorithm in the identification of shellfish toxins by near infrared spectroscopy

  • JIANG Wei ,
  • LIU Yao ,
  • LIU Zhongyan ,
  • ZENG Shaogeng ,
  • XIONG Jianfang ,
  • QIAO Fu
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  • 1(School of Computer Science and Intelligence Education, Lingnan Normal University, Zhanjiang 524048, China)
    2(School of Electronic and Electrical Engineering, Lingnan Normal University, Zhanjiang 524048, China)

Received date: 2022-08-19

  Revised date: 2022-10-09

  Online published: 2023-02-15

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Abstract

The consumption of mussels contaminated with diarrheal shellfish poisons can cause adverse effects on human health. It is necessary to identify mussels contaminated with poisons. To explore a new method for the identification of shellfish poisons, in this paper, the nondestructive identification of shellfish poisons was realized by combining near-infrared spectroscopy and chemometrics. Taking the fresh mussels as the research object, the near-infrared spectrometer was used to collect the reflection spectrum data of healthy mussels and mussels contaminated with diarrhea shellfish poisons. The spectral preprocessing method combining Savitzky-Golay convolution smooth derivation and standard normal variable transformation was used to eliminate the interference factors in the spectrum. Margin influence analysis (MIA) combined with succession projections algorithm (SPA) was used to reduce the dimension of the data. The identification model of diarrhea shellfish poisons was constructed by the partial least squares linear discriminant analysis (PLS-LDA) method and compared with the identification models by support vector machine and random forest. Results showed that using the MIA-SPA-PLS-LDA method, 100% identification of shellfish toxins could be achieved. Results showed that the MIA-SPA-PLS-LDA method could make the identification accuracy of diarrhea shellfish poisons reach 100%. Therefore, the MIA-SPA-PLS-LDA method can be used to establish an accurate identification model of diarrhea shellfish poisons, which provides a new way for the rapid identification of diarrhea shellfish poisons, and also provides a reference for the subsequent identification and analysis of toxins in various shellfish products.

Key words： near-infrared spectroscopy; mussels; margin influence analysis; diarrheal shellfish poisons; partial least squares linear discriminant analysis

Cite this article

JIANG Wei , LIU Yao , LIU Zhongyan , ZENG Shaogeng , XIONG Jianfang , QIAO Fu . Application of margin influence analysis wavelength selection algorithm in the identification of shellfish toxins by near infrared spectroscopy[J]. Food and Fermentation Industries, 2023 , 49(2) : 271 -279 . DOI: 10.13995/j.cnki.11-1802/ts.033368

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