Literature DB >> 26057622

To what extent can portable fluorescence spectroscopy be used in the real-time assessment of microbial water quality?

Andy Baker1, Susan A Cumberland2, Chris Bradley3, Chris Buckley4, John Bridgeman5.   

Abstract

The intrinsic fluorescence of aquatic organic matter emitted at 350 nm when excited at 280 nm correlates widely with water quality parameters such as biochemical oxygen demand. Hence, in sewage-impacted rivers and groundwater, it might be expected that fluorescence at these wavelengths will also correlate with the microbial water quality. In this paper we use a portable fluorimeter to assess the relationship between fluorescence intensity at this wavelength pair and Escherichia coli enumeration in contrasting river catchments of poor water quality: in KwaZulu-Natal, S. Africa and the West Midlands, UK. Across all catchments we demonstrate a log correlation (r = 0.74) between fluorescence intensity and E. coli over a seven-log range in E. coli enumerations on non-perturbed (unfiltered) samples. Within specific catchments, the relationship between fluorescence intensity and E. coli is more variable, demonstrating the importance of catchment-specific interference. Our research demonstrates the potential of using a portable fluorimeter as an initial screening tool for indicative microbial water quality, and one that is ideally suited to simple pollution scenarios such as assessing the impact of faecal contamination in river or groundwater at specific sites.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Fluorimetry; Groundwater; Microbial water quality; Organic matter fluorescence; River

Mesh:

Substances:

Year:  2015        PMID: 26057622     DOI: 10.1016/j.scitotenv.2015.05.114

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Possibilities of Real Time Monitoring of Micropollutants in Wastewater Using Laser-Induced Raman & Fluorescence Spectroscopy (LIRFS) and Artificial Intelligence (AI).

Authors:  Claudia Post; Niklas Heyden; André Reinartz; Aaron Foerderer; Simon Bruelisauer; Volker Linnemann; William Hug; Florian Amann
Journal:  Sensors (Basel)       Date:  2022-06-21       Impact factor: 3.847

2.  Rapid Detection of Three Common Bacteria Based on Fluorescence Spectroscopy.

Authors:  Ranran Du; Dingtian Yang; Xiaoqing Yin
Journal:  Sensors (Basel)       Date:  2022-02-03       Impact factor: 3.576

Review 3.  Measuring Environmental Exposure to Enteric Pathogens in Low-Income Settings: Review and Recommendations of an Interdisciplinary Working Group.

Authors:  Frederick G B Goddard; Radu Ban; Dana Boyd Barr; Joe Brown; Jennifer Cannon; John M Colford; Joseph N S Eisenberg; Ayse Ercumen; Helen Petach; Matthew C Freeman; Karen Levy; Stephen P Luby; Christine Moe; Amy J Pickering; Jeremy A Sarnat; Jill Stewart; Evan Thomas; Mami Taniuchi; Thomas Clasen
Journal:  Environ Sci Technol       Date:  2020-09-09       Impact factor: 9.028

  3 in total

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