Literature DB >> 24631876

Degradability of creatinine under sewer conditions affects its potential to be used as biomarker in sewage epidemiology.

Phong K Thai1, Jake O'Brien2, Guangming Jiang3, Wolfgang Gernjak3, Zhiguo Yuan3, Geoff Eaglesham2, Jochen F Mueller2.   

Abstract

Creatinine was proposed to be used as a population normalising factor in sewage epidemiology but its stability in the sewer system has not been assessed. This study thus aimed to evaluate the fate of creatinine under different sewer conditions using laboratory sewer reactors. The results showed that while creatinine was stable in wastewater only, it degraded quickly in reactors with the presence of sewer biofilms. The degradation followed first order kinetics with significantly higher rate in rising main condition than in gravity sewer condition. Additionally, daily loads of creatinine were determined in wastewater samples collected on Census day from 10 wastewater treatment plants around Australia. The measured loads of creatinine from those samples were much lower than expected and did not correlate with the populations across the sampled treatment plants. The results suggested that creatinine may not be a suitable biomarker for population normalisation purpose in sewage epidemiology, especially in sewer catchment with high percentage of rising mains.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Degradation; Sewer biofilms; Sewer reactor; Stability; Wastewater analysis

Mesh:

Substances:

Year:  2014        PMID: 24631876     DOI: 10.1016/j.watres.2014.02.035

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

1.  Improving correlation of wastewater SARS-CoV-2 gene copy numbers with COVID-19 public health cases using readily available biomarkers.

Authors:  Justin M Hutchison; Zhengxi Li; Chi-Ning Chang; Yasawantha Hiripitiyage; Megan Wittman; Belinda S M Sturm
Journal:  FEMS Microbes       Date:  2022-04-01

2.  Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM).

Authors:  Christian G Daughton
Journal:  Sci Total Environ       Date:  2017-11-29       Impact factor: 7.963

3.  Biomarkers Selection for Population Normalization in SARS-CoV-2 Wastewater-based Epidemiology.

Authors:  Shu-Yu Hsu; Mohamed B Bayati; Chenhui Li; Hsin-Yeh Hsieh; Anthony Belenchia; Jessica Klutts; Sally A Zemmer; Melissa Reynolds; Elizabeth Semkiw; Hwei-Yiing Johnson; Trevor Foley; Chris G Wieberg; Jeff Wenzel; Marc C Johnson; Chung-Ho Lin
Journal:  medRxiv       Date:  2022-03-15

4.  Biomarkers selection for population normalization in SARS-CoV-2 wastewater-based epidemiology.

Authors:  Shu-Yu Hsu; Mohamed Bayati; Chenhui Li; Hsin-Yeh Hsieh; Anthony Belenchia; Jessica Klutts; Sally A Zemmer; Melissa Reynolds; Elizabeth Semkiw; Hwei-Yiing Johnson; Trevor Foley; Chris G Wieberg; Jeff Wenzel; Marc C Johnson; Chung-Ho Lin
Journal:  Water Res       Date:  2022-08-15       Impact factor: 13.400

5.  Surveillance of SARS-CoV-2 in nine neighborhood sewersheds in Detroit Tri-County area, United States: Assessing per capita SARS-CoV-2 estimations and COVID-19 incidence.

Authors:  Yabing Li; Brijen Miyani; Liang Zhao; Maddie Spooner; Zach Gentry; Yangyang Zou; Geoff Rhodes; Hui Li; Andrew Kaye; John Norton; Irene Xagoraraki
Journal:  Sci Total Environ       Date:  2022-08-27       Impact factor: 10.753

  5 in total

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