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Lookup NU author(s): Dr Rixia ZanORCiD, Dr Kishor Acharya, Adrian Blackburn, Professor Chris Kilsby, Professor David WernerORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. Onsite molecular diagnostics can revolutionize fecal pollution source tracking. We aimed to validate a method for onsite qPCR assays with a miniature speaker-sized Q qPCR instrument and other portable equipment items. We showed that marker genes for total bacteria (16S) and E. coli (rodA) in 100 mL of river water measured with this method agreed within ±0.3 log10 units with results obtained when using conventional laboratory equipment items. We then deployed the portable method in a mobile laboratory (‘lab in a van’) and quantified HF183 marker genes for human host associated Bacteroides in river water within 3 h of sampling. We also used the mobile laboratory to investigate urban river water and effluents from two storm drains and a retention pond and collected comprehensive microbial and physicochemical water quality data. We found significantly higher HF183 gene levels in the older storm drain compared to the river water (6.03 ± 0.04 vs. 4.23 ± 0.03 log10 gene copies per 100 mL), and a principal component analysis revealed that storm drain effluent retention in a pond beneficially altered water characteristics, making them more like those of the receiving river. In conclusion, onsite qPCR assays can be performed with portable equipment items to quickly test water.
Author(s): Zan R, Acharya K, Blackburn A, Kilsby CG, Werner D
Publication type: Article
Publication status: Published
Journal: Water
Year: 2022
Volume: 14
Issue: 8
Online publication date: 11/04/2022
Acceptance date: 07/04/2022
Date deposited: 09/05/2022
ISSN (electronic): 2073-4441
Publisher: MDPI
URL: https://doi.org/10.3390/w14081224
DOI: 10.3390/w14081224
Data Access Statement: Additional data created during this research are openly available (https://doi.org/10.25405/data.ncl.19228272). Please contact Newcastle Research Data Service at rdm@ncl.ac.uk for access instructions
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