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Longitudinal Follow-Up of Urinary Tract Infections and Their Treatment in Mice using Bioluminescence Imaging
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Water assessment using ultra-weak bioluminescence.

A C Cordeiro1, J L Fabris1, G H Couto2

  • 1Graduate Program in Electrical and Computer Engineering, Federal University of Technology - Parana, Curitiba, Brazil.

Journal of Photochemistry and Photobiology. B, Biology
|October 20, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces ultra-weak bioluminescence (UWB) for detecting coliform bacteria in water. UWB measurements show potential for faster, effective water contamination detection compared to traditional methods.

Keywords:
Escherichia coli testsUltra-weak bioluminescenceWater quality

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Area of Science:

  • Environmental microbiology
  • Biotechnology
  • Analytical chemistry

Background:

  • Coliform bacteria are indicators of water contamination.
  • Current detection methods can be time-consuming.
  • Ultra-weak bioluminescence (UWB) offers a potential alternative detection pathway.

Purpose of the Study:

  • To propose and evaluate a novel method for coliform detection in water samples using UWB.
  • To compare UWB measurements with traditional optical density measurements for bacterial growth.
  • To assess the viability of UWB for rapid water quality assessment.

Main Methods:

  • Incubation of standard E. coli and river water samples.
  • Acquisition of temporal UWB emission profiles using photon counting instrumentation.
  • Measurement of bacterial growth kinetics via spectrophotometry.
  • Periodic time-components analysis of UWB data.

Main Results:

  • UWB temporal profiles exhibited similarities to bacterial growth kinetics curves.
  • Periodic time-components analysis effectively discriminated between contaminated and non-contaminated samples.
  • The UWB method showed promise for faster coliform detection.

Conclusions:

  • Ultra-weak bioluminescence is a viable method for detecting coliforms in water.
  • The proposed UWB method offers a potentially faster alternative to conventional techniques.
  • Time-component analysis of UWB data is crucial for accurate sample discrimination.