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Detection of Bacteria Using Fluorogenic DNAzymes

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Rapid Identification and Characterization of Pathogenic Bacteria Isolates Using Fluorescence Excitation Spectroscopy

Anandh Sundaramoorthy¹, Bharanidharan Ganesan¹, Aruna Prakasarao¹

¹Department of Medical Physics, Anna University, Chennai, Tamil Nadu, India.

Journal of Biophotonics

|November 25, 2025

Summary

This summary is machine-generated.

Rapid bacterial identification is essential for combating infections. Fluorescence spectroscopy and spectral deconvolution accurately classified bacterial strains with 100% accuracy, offering a promising diagnostic tool.

Keywords:

bacterial identification fluorescence excitation spectroscopy intrinsic fluorescence spectral deconvolution

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Area of Science:

Biotechnology
Analytical Chemistry
Microbiology

Background:

Bacterial infections, including hospital-acquired and food-borne illnesses, pose significant health risks.
Rapid and accurate bacterial detection is critical for effective treatment and public health.
Fluorescence spectroscopy offers sensitive, real-time, and straightforward bacterial characterization.

Purpose of the Study:

To develop a rapid method for bacterial detection and identification.
To investigate the utility of fluorescence excitation spectra for differentiating bacterial species.
To assess the accuracy of spectral deconvolution and linear discriminant analysis for bacterial classification.

Main Methods:

Acquired fluorescence excitation spectra from 200 bacterial isolates across eight species.
Applied spectral deconvolution to extract key fluorescent components (tryptophan, nucleic acids, anthranilic acid).
Utilized linear discriminant analysis on normalized spectra for classification with leave-one-out cross-validation.

Main Results:

Successfully extracted four distinct Gaussian components from fluorescence spectra.
Achieved 100% accuracy in classifying bacterial strains using the developed method.
Demonstrated the effectiveness of spectral analysis for bacterial identification.

Conclusions:

Fluorescence spectroscopy combined with spectral deconvolution and linear discriminant analysis provides a highly accurate method for bacterial identification.
This technique offers a rapid and sensitive approach for differentiating bacterial species.
The findings support the potential of this method for clinical and food safety applications.