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<p>Identification and characterization of bacterial pathogens are very important for the protection of global health as the death rate is increasing day by day due to bacterial infections. In this research, surface-enhanced Raman spectroscopy (SERS) has been used to analyze the cell masses of four different bacterial strains including <i>Staphylococcus aureus</i>, <i>Escherichia coli</i>, <i>Bacillus cereus</i>, and <i>Pseudomonas aeruginosa</i>. SERS provides rapid and sensitive detection of bacteria and their bio-molecular profile in the form of SERS spectral features which are very useful for their characterization and identification. The SERS spectral data was analyzed using principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA). This study demonstrates that combination of SERS, PLS-DA and PCA is a useful method for recognizing and distinguishing different types of bacterial strains. The PCA is used to distinguish between different bacterial strains based on variations in the biochemical composition of their cells identified in the form of characteristic SERS spectral features of each bacterial strain. PLS-DA is used for discrimination of SERS spectral data sets of these four bacterial strains with an AUROC curve value of 0.895, sensitivity of 98%, and specificity of 99%. This study has explored the potential of SERS for the early identification of the bacterial strains which may lead to quickly diagnose and appropriate treatment selection for bacterial infections, with the potential for advanced diagnostic tools in the future.</p>

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Surface-Enhanced Raman Spectroscopy (SERS) for the Analysis of Cell Masses of Different Bacterial Strains Including Staphylococcus Aureus, Escherichia Coli, Bacillus Cereus, and Pseudomonas Aeruginosa

  • 期刊论文

  • 发表日期：

    2025年4月23日

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  • Saira Dastgir,
  • Shanza Rauf,
  • Haq Nawaz,
  • Muhammad Irfan Majeed,
  • Muhammad Rizwan Javed,
  • Najah Alwadie,
  • Riffat Seemab,
  • Arooj Fatima,
  • Abu Bakar Salfi,
  • Muhammad Usman,
  • Amina Parveen,
  • Eman Fatima,
  • Rida Fatima,
  • Shama Sehar,
  • Iqra Yaseen,
  • Muhammad Imran

摘要

Identification and characterization of bacterial pathogens are very important for the protection of global health as the death rate is increasing day by day due to bacterial infections. In this research, surface-enhanced Raman spectroscopy (SERS) has been used to analyze the cell masses of four different bacterial strains including Staphylococcus aureus, Escherichia coli, Bacillus cereus, and Pseudomonas aeruginosa. SERS provides rapid and sensitive detection of bacteria and their bio-molecular profile in the form of SERS spectral features which are very useful for their characterization and identification. The SERS spectral data was analyzed using principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA). This study demonstrates that combination of SERS, PLS-DA and PCA is a useful method for recognizing and distinguishing different types of bacterial strains. The PCA is used to distinguish between different bacterial strains based on variations in the biochemical composition of their cells identified in the form of characteristic SERS spectral features of each bacterial strain. PLS-DA is used for discrimination of SERS spectral data sets of these four bacterial strains with an AUROC curve value of 0.895, sensitivity of 98%, and specificity of 99%. This study has explored the potential of SERS for the early identification of the bacterial strains which may lead to quickly diagnose and appropriate treatment selection for bacterial infections, with the potential for advanced diagnostic tools in the future.