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Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity

Dashti, A ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1016/j.fochx.2023.100667
  3. Publisher: Elsevier Ltd , 2023
  4. Abstract:
  5. The performance of visible-near infrared hyperspectral imaging (Vis-NIR-HSI) (400–1000 nm) and shortwave infrared hyperspectral imaging (SWIR-HSI) (1116–1670 nm) combined with different classification and regression (linear and non-linear) multivariate methods were assessed for meat authentication. In Vis-NIR-HSI, total accuracies in the prediction set for SVM and ANN-BPN (the best classification models) were 96 and 94 % surpassing the performance of SWIR-HSI with 88 and 89 % accuracy, respectively. In Vis-NIR-HSI, the best-obtained coefficient of determinations for the prediction set (R2p) were 0.99, 0.88, and 0.99 with root mean square error in prediction (RMSEP) of 9, 24 and 4 (%w/w) for pork in beef, pork in lamb and pork in chicken, respectively. In SWIR-HSI, the best-obtained R2p were 0.86, 0.77, and 0.89 with RMSEP of 16, 23 and 15 (%w/w) for pork in beef, pork in lamb and pork in chicken, respectively. The results ascertain that Vis-NIR-HSI coupled with multivariate data analysis has better performance rather than SWIR-HIS. © 2023 The Authors
  6. Keywords:
  7. Chemometrics ; Meat authenticity ; PCA ; Portable HSI ; Snapscan HSI
  8. Source: Food Chemistry: X ; Volume 18 , 2023 ; 25901575 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S2590157523001098