Dynamics of Biocorrosion in Copper Pipes under Actual Drinking Water Conditions

Deficient disinfection systems enable bacteria to form in drinking water; these can invade plumbing systems even if the pipes are composed of antibacterial materials such as copper. Severe copper corrosion by microorganisms and their subsequent release into the water system are evidenced by the blue...

Full description

Bibliographic Details
Main Authors: Carlos Galarce, Diego Fischer, Beatriz Díez, Ignacio T. Vargas, Gonzalo E. Pizarro
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/4/1036
id doaj-2736c4d7a0c0412da3f589d7aa2609ec
record_format Article
spelling doaj-2736c4d7a0c0412da3f589d7aa2609ec2020-11-25T02:26:48ZengMDPI AGWater2073-44412020-04-01121036103610.3390/w12041036Dynamics of Biocorrosion in Copper Pipes under Actual Drinking Water ConditionsCarlos Galarce0Diego Fischer1Beatriz Díez2Ignacio T. Vargas3Gonzalo E. Pizarro4Department of Hydraulic and Environmental Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, ChileDepartment of Hydraulic and Environmental Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, ChileDepartment of Molecular Genetics and Microbiology, Pontificia Universidad Católica de Chile, Santiago 7820436, ChileDepartment of Hydraulic and Environmental Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, ChileDepartment of Hydraulic and Environmental Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, ChileDeficient disinfection systems enable bacteria to form in drinking water; these can invade plumbing systems even if the pipes are composed of antibacterial materials such as copper. Severe copper corrosion by microorganisms and their subsequent release into the water system are evidenced by the blue water phenomenon. Proper monitoring and control can reduce such undesirable effects on water quality. However, a lack of data from analysis under actual conditions has limited the development of useful predictive tools and preventive strategies. In this work, an experimental aging system was connected to a drinking water network affected by the blue water phenomenon. The microbially influenced corrosion (MIC) was evaluated by studying the dynamics of the formed bacterial community and its relationship with copper corrosion and the release of copper. The results suggest that the conformation and composition of the biofilm attached to the surface influence the measured parameters. The corrosion rate was variable throughout the sampling time, with the highest value recorded after one year of aging. The composition of biofilms also changed with time; however, the genus <i>Pseudomonas</i> was ubiquitous over the sampling time. No relationship between the corrosion rate and the biofilm age was observed, thereby suggesting that MIC is a dynamic phenomenon that requires further study.https://www.mdpi.com/2073-4441/12/4/1036coppercorrosion ratebiocorrosionbiofilm
collection DOAJ
language English
format Article
sources DOAJ
author Carlos Galarce
Diego Fischer
Beatriz Díez
Ignacio T. Vargas
Gonzalo E. Pizarro
spellingShingle Carlos Galarce
Diego Fischer
Beatriz Díez
Ignacio T. Vargas
Gonzalo E. Pizarro
Dynamics of Biocorrosion in Copper Pipes under Actual Drinking Water Conditions
Water
copper
corrosion rate
biocorrosion
biofilm
author_facet Carlos Galarce
Diego Fischer
Beatriz Díez
Ignacio T. Vargas
Gonzalo E. Pizarro
author_sort Carlos Galarce
title Dynamics of Biocorrosion in Copper Pipes under Actual Drinking Water Conditions
title_short Dynamics of Biocorrosion in Copper Pipes under Actual Drinking Water Conditions
title_full Dynamics of Biocorrosion in Copper Pipes under Actual Drinking Water Conditions
title_fullStr Dynamics of Biocorrosion in Copper Pipes under Actual Drinking Water Conditions
title_full_unstemmed Dynamics of Biocorrosion in Copper Pipes under Actual Drinking Water Conditions
title_sort dynamics of biocorrosion in copper pipes under actual drinking water conditions
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-04-01
description Deficient disinfection systems enable bacteria to form in drinking water; these can invade plumbing systems even if the pipes are composed of antibacterial materials such as copper. Severe copper corrosion by microorganisms and their subsequent release into the water system are evidenced by the blue water phenomenon. Proper monitoring and control can reduce such undesirable effects on water quality. However, a lack of data from analysis under actual conditions has limited the development of useful predictive tools and preventive strategies. In this work, an experimental aging system was connected to a drinking water network affected by the blue water phenomenon. The microbially influenced corrosion (MIC) was evaluated by studying the dynamics of the formed bacterial community and its relationship with copper corrosion and the release of copper. The results suggest that the conformation and composition of the biofilm attached to the surface influence the measured parameters. The corrosion rate was variable throughout the sampling time, with the highest value recorded after one year of aging. The composition of biofilms also changed with time; however, the genus <i>Pseudomonas</i> was ubiquitous over the sampling time. No relationship between the corrosion rate and the biofilm age was observed, thereby suggesting that MIC is a dynamic phenomenon that requires further study.
topic copper
corrosion rate
biocorrosion
biofilm
url https://www.mdpi.com/2073-4441/12/4/1036
work_keys_str_mv AT carlosgalarce dynamicsofbiocorrosionincopperpipesunderactualdrinkingwaterconditions
AT diegofischer dynamicsofbiocorrosionincopperpipesunderactualdrinkingwaterconditions
AT beatrizdiez dynamicsofbiocorrosionincopperpipesunderactualdrinkingwaterconditions
AT ignaciotvargas dynamicsofbiocorrosionincopperpipesunderactualdrinkingwaterconditions
AT gonzaloepizarro dynamicsofbiocorrosionincopperpipesunderactualdrinkingwaterconditions
_version_ 1724845590101098496