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Related Experiment Video

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Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach
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Deciphering biophysical signatures for microbiological applications.

Harsh Ranawat1, Nirmal Mazumder2, Thokur Sreepathy Murali1

  • 1Department of Biotechnology, Manipal School of Life Sciences, MAHE, Manipal, Karnataka, 576104, India.

Lasers in Medical Science
|December 21, 2019
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Summary

Rapid microbial identification is crucial for health and industry. This study combines auto-fluorescence and dynamic light scattering (DLS) to quickly classify bacteria, showing promise for faster diagnostics.

Keywords:
Drug actionDynamic light scatteringLaser induced fluorescencePseudomonas aeruginosaStaphylococcus aureus

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Area of Science:

  • Microbiology
  • Biophysics
  • Spectroscopy

Background:

  • Accurate microbial identification is essential for human health and various industries.
  • Conventional methods are often slow or ambiguous; molecular techniques are resource-intensive.
  • Spectroscopic methods offer a fast, non-destructive, and specific alternative for bacterial analysis.

Purpose of the Study:

  • To evaluate the utility of auto-fluorescence and dynamic light scattering (DLS) for rapid microbial classification.
  • To assess bacterial responses to stress conditions and antibiotic treatments using these techniques.
  • To develop a multivariate approach for enhanced bacterial discrimination.

Main Methods:

  • Collected auto-fluorescence spectra (tryptophan) and DLS measurements (zeta potential, size) from Pseudomonas aeruginosa and Staphylococcus aureus.
  • Exposed bacteria to physiological and stress conditions (heat, sonication, antibiotics).
  • Applied multivariate analysis to differentiate bacterial samples based on spectral and DLS data.

Main Results:

  • DLS measurements revealed statistically significant changes in membrane integrity and cell viability under stress and antibiotic treatment.
  • Auto-fluorescence and DLS data showed significant variations correlating with different conditions.
  • Multivariate analysis successfully clustered 83% of samples at the genera level.

Conclusions:

  • Auto-fluorescence and DLS are effective, rapid methods for characterizing bacterial strains and their responses to stress.
  • These techniques provide valuable insights into bacterial surface properties and membrane integrity.
  • Combined spectroscopic and DLS analysis with multivariate methods offers a powerful tool for microbial classification and diagnostics.