Rapid discrimination of Brucellosis in sheep using serum Fourier transform infrared spectroscopy combined with PCA-LDA algorithm

Photodiagnosis Photodyn Ther. 2023 Jun:42:103567. doi: 10.1016/j.pdpdt.2023.103567. Epub 2023 Apr 20.

Abstract

Brucellosis in sheep is an infectious disease caused by Brucella melitensis in sheep. The current conventional serological methods for screening Brucella-infected sheep have the disadvantage of time consuming and low accuracy, so a simple, rapid and highly accurate screening method is needed. The aim of this study was to evaluate the feasibility of diagnosing Brucella-infected sheep by serum samples based on the Fourier transform infrared (FTIR) spectroscopy. In this study, FTIR spectroscopy of serum from Brucella-infected sheep (n = 102) and healthy sheep (n = 125) revealed abnormal protein and lipid metabolism in serum from Brucella-infected sheep compared to healthy sheep. Principal component analysis-Linear discriminant analysis (PCA-LDA) method was used to differentiate the FTIR spectra of serum from Brucella-infected sheep and healthy sheep in the protein band (3700-3090 cm-1) and lipid band (3000-2800 cm-1), and its overall diagnostic accuracy was 100% (sensitivity 100%, specificity 100%). In conclusion, our results suggest that serum FTIR spectroscopy combined with PCA-LDA algorithm has great potential for brucellosis in sheep screening.

Keywords: Brucellosis; FTIR spectroscopy; Principal component analysis-Linear discriminant analysis (PCA-LDA); Serum; Sheep.

MeSH terms

  • Animals
  • Brucellosis* / diagnosis
  • Brucellosis* / veterinary
  • Discriminant Analysis
  • Photochemotherapy* / methods
  • Photosensitizing Agents
  • Principal Component Analysis
  • Sheep
  • Sheep Diseases* / diagnosis
  • Spectroscopy, Fourier Transform Infrared / methods

Substances

  • Photosensitizing Agents