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    Efficient cooling tower operation at alkaline pH for the control of Legionella pneumophila and other pathogenic genera

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    Efficient --1-s2.0-S0043135421002451-main (1).pdf
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    Type
    Article
    Authors
    Pinel, I.S.M.
    Hankinson, P.M. cc
    Moed, D.H.
    Wyseure, L.J.
    Vrouwenvelder, Johannes S. cc
    van Loosdrecht, Mark C.M. cc
    KAUST Department
    Biological and Environmental Science and Engineering (BESE) Division
    Environmental Science and Engineering Program
    Water Desalination and Reuse Research Center (WDRC)
    Date
    2021-03-18
    Online Publication Date
    2021-03-18
    Print Publication Date
    2021-03
    Embargo End Date
    2023-03-15
    Submitted Date
    2020-08-12
    Permanent link to this record
    http://hdl.handle.net/10754/668167
    
    Metadata
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    Abstract
    Efficient control of pathogenic bacteria, specifically Legionella pneumophila, is one of the main concerns when operating industrial cooling towers. Common practices to limit proliferation involves use of disinfectants, leading to formation of disinfection by-product and increase in water corrosiveness. A disinfectant-free Legionella control method would make the industry more environmentally friendly. A pilot-scale cooling tower (1 m3/h) operated with demineralized water was used to investigate the potential of high-pH conditioning as a disinfectant-free alternative for control of L. pneumophila and other pathogens. One control experiment was performed under standard full-scale operation involving sodium hypochlorite dosage. Thereafter 3 alkaline pHs of the cooling water were tested: 9.0, 9.4 and 9.6. The tests lasted between 25 and 35 days. The cooling water from the basins were analysed for total cell count by flow cytometry, L. pneumophila concentration by plate count and occasional qPCR analyses targeting the mip-gene, bacterial and eukaryotic community analyses with 16S and 18S rRNA gene amplicon sequencing, relative abundance of eukaryotic to prokaryotic DNA by qPCR of the 16S and 18S rRNA gene. The L. pneumophila analyses showed considerable growth at pH 9.0 and pH 9.4 but was maintained below detection limit (< 100 CFU/L) at pH 9.6 without disinfection. Interestingly, the results correlated with the overall abundance of protozoa in the water samples but not directly with the relative abundance of specific reported protozoan hosts of Legionella. The pathogenicity based on 16S rRNA gene amplicon sequencing of the cooling water DNA decreased with increasing pH with a strong decline between pH 9.0 and pH 9.4, from 7.1 % to 1.6 % of relative abundance of pathogenic genera respectively. A strong shift in microbiome was observed between each tested pH and reproducibility of the experiment at pH 9.6 was confirmed with a duplicate test lasting 80 days. High-pH conditioning ≥ 9.6 is therefore considered as an efficient disinfectant-free cooling tower operation for control of pathogenicity, including L. pneumophila.
    Citation
    Pinel, I. S. M., Hankinson, P. M., Moed, D. H., Wyseure, L. J., Vrouwenvelder, J. S., & van Loosdrecht, M. C. M. (2021). Efficient cooling tower operation at alkaline pH for the control of Legionella pneumophila and other pathogenic genera. Water Research, 117047. doi:10.1016/j.watres.2021.117047
    Sponsors
    This study was performed with financial support from Evides Industriewater B.V. and with the use of their pilot facility. We would also like to thank the staff members of Aqualab Zuid B.V. for performing the L. pneumophila analyses and David Calderón Franco for his help with the 16S and 18S genes qPCR analyses.
    Publisher
    Elsevier BV
    Journal
    Water Research
    DOI
    10.1016/j.watres.2021.117047
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0043135421002451
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.watres.2021.117047
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Environmental Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC)

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