4.8 Article

Autonomous online measurement of β-D-glucuronidase activity in surface water: is it suitable for rapid E. coli monitoring?

期刊

WATER RESEARCH
卷 152, 期 -, 页码 241-250

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2018.12.060

关键词

Online monitoring; Escherichia coli; beta-D-glucuronidase; Enzymatic assays; Repeatability; Robustness

资金

  1. NSERC Industrial Chair on Drinking Water Treatment
  2. City of Montreal
  3. City of Laval
  4. City of Longueuil
  5. City of Repentigny
  6. John Meunier Inc. (Veolia)
  7. Canada Research Chair in Source Water Protection

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Microbiological water quality is traditionally assessed using culture-based enumeration of faecal indicator bacteria such as Escherichia coll. Despite their relative ease of use, these methods require a minimal 18-24 h-incubation step before the results are obtained. This study aimed to assess the suitability of an autonomous online fluorescence-based technology measuring beta-glucuronidase (GLUC) activity for rapid near-real time monitoring of E. coli in water. The analytical precision was determined and compared to an automated microbial detection system, two culture-based assays and quantitative real-time PCR (qPCR). Using replicate measurements of grab samples containing E. coil concentrations between 50 and 2330 CFU.100 mL(-1), the autonomous GLUC activity measurement technology displayed an average coefficient of variation (CV) of less than 5% that was 4-8-fold lower than other methods tested. Comparable precision was observed during online in situ monitoring of GLUC activity at a drinking water intake using three independent instruments. GLUC activity measurements were not affected by sewage or sediments at concentrations likely to be encountered during long-term monitoring. Furthermore, significant (p < 0.05) correlations were obtained between GLUC activity and the other assays including defined substrate technology (r = 0.77), membrane filtration (r = 0.73), qPCR (r = 0.55) and the automated microbial detection system (r = 0.50). This study is the first to thoroughly compare the analytical performance of rapid automated detection technologies to established culture and molecular-based methods. Results show that further research is required to correlate GLUC activity to the presence of viable E. coli as measured in terms of CFU.100 mL(-1). This would allow the use of autonomous online GLUC activity measurements for rapid E. coli monitoring in water supplies used for drinking water production and recreation. (C) 2019 Elsevier Ltd. All rights reserved.

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