scholarly journals Research progress on the injury mechanism and detection method of disinfectant-injured Escherichia coli in the drinking water system

Author(s):  
Cui-min Feng ◽  
Na Zhu ◽  
Ji-yue Jin ◽  
Ying Li ◽  
Zhen Xu ◽  
...  

Abstract Sublethally injured bacteria can still develop into normal bacteria under favorable growth conditions, and their pathogenicity poses a great threat to human health. In the drinking water system, some bacteria cause sublethal injury under the action of disinfectants, that is, disinfectant-injured bacteria. Hence, the detection of disinfectant-injured bacteria and the elucidation of injury mechanisms are of great significance for ensuring the microbial safety of drinking water systems. This article takes the indicator bacteria Escherichia coli as the research object, reviews and summarizes the sublethal injury conditions, damage mechanism, and detection methods of disinfectant-injured bacteria in drinking water, and puts forward a prospect for the future research directions of drinking water disinfection and disinfectant-injured bacteria.

Author(s):  
Stephen Siwila ◽  
Isobel C Brink

Abstract This work presents mathematical modelling of Escherichia coli (E.coli) removal by a multi-barrier point-of-use drinking water system. The modelled system is a combination of three treatment stages: filtration by geotextile fabric followed by filtration and disinfection by silver-coated ceramic granular media (SCCGM) then granular activated carbon (GAC) filtration. The presented models accounted for removal mechanisms by each treatment stage. E.coli was modelled as a microbial particle. E.coli inactivation by SCCGM was modelled using the Chick's, Chick-Watson, Collins-Selleck and complete mix system bacterial inactivation kinetic models, which were considered adequately representative for describing the removal. Geotextile removal was modelled using colloidal filtration theory (CFT) for hydrosol deposition in fibrous media. The filtration removal contributions by the SCCGM and GAC were modelled using CFT for removal of colloidal particles by granular media. The model results showed that inactivation by silver in the SCCGM was the main bacterial removal mechanism. Geotextile and GAC also depicted appreciable removals. The theoretical modelling approach used is important for design and optimization of the multi-barrier system and can support future research in terms of material combinations, system costs, etc. Collector diameter, particle size, filtration velocity and contact time were identified as critical parameters for E.coli removal efficiency.


Water ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 582 ◽  
Author(s):  
Ljiljana Zlatanović ◽  
Aleksandra Knezev ◽  
Jan van der Hoek ◽  
Jan Vreeburg

2015 ◽  
Vol 156 ◽  
pp. 972-979 ◽  
Author(s):  
Qihua Wu ◽  
Honglan Shi ◽  
Yinfa Ma ◽  
Craig Adams ◽  
Hua Jiang ◽  
...  

2016 ◽  
Vol 14 (6) ◽  
pp. 998-1008
Author(s):  
Wendy Pons ◽  
Ian Young ◽  
David Pearl ◽  
Andria Jones-Bitton ◽  
Scott A. McEwen ◽  
...  

The objectives of this work were to investigate the relationships between characteristics of small non-community drinking water systems (SDWSs) and the performance of these systems with respect to Escherichia coli testing and risk ratings. Ontario-wide SDWS data were analysed using regression models with outcomes of (1) having an adverse E. coli test result in the 12 months prior to the last inspection and (2) the SDWS risk rating (high/medium vs. low risk) that is assigned by public health inspectors. Almost 34% (2,364/7,003) of SDWSs did not utilize treatment, more commonly for ground water than surface supplies (P < 0.001). The odds of having a positive E. coli test result were greater in systems using ground water with treatment (OR = 2.00; 95% CI 1.23–3.24) and surface water with treatment (OR = 1.97; 95% CI 1.05–3.71) compared to ground water with no treatment. The odds of having a water system rated high or medium compared to low risk was greater if the water system operated seasonally (OR = 1.36; 95% CI 1.17–1.59), had an adverse E. coli test result (OR = 1.66; 95% CI 1.09–2.53), and in specific facility types. This research helps to inform existing training opportunities available to SDWS operators in Ontario, and to better standardize the SDWS risk assessment process.


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