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Characterization and classification of pathogenic bacteria using native fluorescence and spectral deconvolution.

Anandh Sundaramoorthy¹, Ganesan Bharanidharan¹, Aruna Prakasarao¹

¹Department of Medical Physics, Anna University, Chennai, Tamilnadu, India.

Journal of Biophotonics

|June 7, 2024

Summary

This study used protein fluorescence spectroscopy to classify eight pathogenic bacterial strains. The method achieved high accuracy, offering a promising tool for rapid bacterial identification and disease treatment.

Keywords:

fluorescence lifetime native fluorescence spectroscopy protein fluorescence redox ratio spectral deconvolution stepwise multiple linear discriminant analysis

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Area of Science:

Biophysics
Microbiology
Spectroscopy

Background:

Accurate identification and classification of pathogenic bacteria are crucial for timely disease treatment.
Protein fluorescence offers a potential intrinsic marker for bacterial characterization.

Purpose of the Study:

To characterize protein fluorescence from eight pathogenic bacterial strains.
To evaluate the efficacy of fluorescence spectroscopy for bacterial classification.

Main Methods:

Steady-state and time-resolved fluorescence spectroscopy were employed.
Spectral deconvolution was used to analyze intrinsic fluorophore contributions.
Stepwise multiple linear discriminant analysis was applied to fluorescence spectra.

Main Results:

Key photophysical parameters (intensity, emission maxima, line width, optical redox ratio) were extracted.
Significant differences in average fluorescence lifetime were observed (p ≤ 0.01).
Discriminant analysis achieved 100% accuracy for original groups and 99.5% for cross-validation.

Conclusions:

Protein fluorescence characteristics vary among pathogenic bacterial strains due to protein conformational changes.
Fluorescence spectroscopy provides a highly accurate method for classifying pathogenic bacteria.
This technique holds potential for rapid diagnostics in infectious disease management.