Application of enhanced assimilable organic carbon method across operational drinking water systems


Autoři: Frances C. Pick aff001;  Katherine E. Fish aff001;  Catherine A. Biggs aff003;  Jonathan P. Moses aff002;  Graeme Moore aff004;  Joby B. Boxall aff001
Působiště autorů: Pennine Water Group, Department of Civil and Structural Engineering, The University of Sheffield, Sheffield, United Kingdom aff001;  Scottish Water, Perth, United Kingdom aff002;  School of Engineering, Newcastle University, Newcastle, United Kingdom aff003;  Scottish Water, Edinburgh, United Kingdom aff004
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
prolekare.web.journal.doi_sk: 10.1371/journal.pone.0225477

Souhrn

Assimilable organic carbon (AOC) is known to correlate with microbial growth, which can consequently degrade drinking water quality. Despite this, there is no standardised AOC test that can be applied to drinking water distribution systems (DWDS). Herein we report the development of a quick, robust AOC that incorporates known strains Pseudomonas fluorescens strain P-17 and Spirillum strain NOX, a higher inoculum volume and enumeration using flow cytometry to generate a quicker (total test time reduced from 14 to 8 days), robust method. We apply the developed AOC test to twenty drinking water treatment works (WTW) to validate the method reproducibility and resolution across a wide range of AOC concentrations. Subsequently, AOC was quantified at 32 sample points, over four DWDS, for a year in order to identify sinks and sources of AOC in operative networks. Application of the developed AOC protocol provided a previously unavailable insight and novel evidence of pipes and service reservoirs exhibiting different AOC and regrowth behaviour. Observed correlations between AOC and microbial growth highlight the importance of monitoring AOC as an integral part of managing drinking water quality at the consumers tap.

Klíčová slova:

Bacteria – Cell enumeration techniques – Flow cytometry – Chlorine – Water quality – Water resources – Water management – Total cell counting


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2019 Číslo 12