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Identification of Edible Gelatin Origins by Data Fusion of NIRS, Fluorescence Spectroscopy, and LIBS

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Abstract

The potential for a data fusion of near infrared spectroscopy (NIRS), fluorescence spectroscopy, and laser-induced breakdown spectroscopy (LIBS) was investigated to improve the identification accuracy of different origins of edible gelatin (porcine skin, porcine bone, bovine skin, bovine bone, and fish skin). Competitive adaptive reweighted sampling method (CARSM) was applied to extract feature variables, and the feature variables from individual spectroscopic methods were combined to form the fused data. Then, random forest model (RFM) was built for classification of five origins of edible gelatin. The classification accuracy in the validation set for individual spectroscopic methods and the data fusion strategy were obtained as 97.1%, 98.55%, 81.16%, and 100%, respectively. Moreover, the precision, recall, and F score for the data fusion method were all up to 100%, which are apparently higher than those for the individual spectroscopic methods. The results demonstrate that the data fusion of NIRS, fluorescence spectroscopy, and LIBS can complement each other and improve the accuracy for discrimination of gelatin origins.

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Funding

This research was financially supported by the Science and Technology Innovation Project of Henan Agricultural University (No. KJCX2018A09); the China Postdoctoral Science Foundation (No. 2017 M612399); the National Natural Science Foundation of China (No. 31671581).

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China

    Hao Zhang, Zhen Liu, Juntao Zhang, Lu Zhang, Ling Wang, Jing Chen, Caihong Zou & Jiandong Hu

  2. Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, Zhengzhou, 450002, China

    Hao Zhang, Ling Wang & Jiandong Hu

  3. College of Science, Henan Agricultural University, Zhengzhou, 450002, China

    Shun Wang

Authors
  1. Hao Zhang
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  2. Zhen Liu
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  3. Juntao Zhang
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  4. Lu Zhang
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  5. Shun Wang
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  6. Ling Wang
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  7. Jing Chen
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  8. Caihong Zou
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  9. Jiandong Hu
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Contributions

Zhen Liu and Juntao Zhang performed the NIR spectral measurements. Lu Zhang and Shun Wang performed the LIBS spectral measurements. Jing Chen was involved the data managing and data preprocessing. Hao Zhang and Ling Wang were involved the data analysis and figures plotting. Hao Zhang was involved the paper writing. Caihong Zou and Jiandong Hu were involved the discussion and paper revising.

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Correspondence to Hao Zhang.

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Conflict of Interest

Hao Zhang declares that he has no conflict of interest. Zhen Liu declares that she has no conflict of interest. Juntao Zhang declares that he has no conflict of interest. Lu Zhang declares that she has no conflict of interest. Shun Wang declares that he has no conflict of interest. Ling Wang declares that she has no conflict of interest. Jing Chen declares that he has no conflict of interest. Caihong Zou declares that he has no conflict of interest. Jiandong Hu declares that he has no conflict of interest.

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Zhang, H., Liu, Z., Zhang, J. et al. Identification of Edible Gelatin Origins by Data Fusion of NIRS, Fluorescence Spectroscopy, and LIBS. Food Anal. Methods 14, 525–536 (2021). https://doi.org/10.1007/s12161-020-01893-2

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  • DOI: https://doi.org/10.1007/s12161-020-01893-2

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