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The Science of The Total Environment
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Discovery of large molecules as new biomarkers in wastewater using environmental proteomics and suitable polymer probes

Authors: M. Carrascal; J. Abian; A. Ginebreda; D. Barceló;

Discovery of large molecules as new biomarkers in wastewater using environmental proteomics and suitable polymer probes

Abstract

The capability of monitoring large molecules as possible biomarkers in wastewater will be an important contribution to the new field of sewage epidemiology. Here, we explore the use of polymer probes together with untargeted proteomics for large scale protein analysis in sewage and treated water. Polymeric probes were immersed in the influent, anoxic reactor and effluent waters of a Spanish WWTP during 11 days. Proteins sorbed were extracted and identified by mass spectrometry. A total of 690 proteins from bacteria, plants and animals, including human, were identified showing different proteome profiles in the different sites. Bacterial proteins (510) pointed at 175 genera distributed in 22 bacterial classes. The most abundant were EF-Tu, GroEL and ATP synthase which were contributed by a high number of species. Human was the species contributing the greatest number of identified proteins (57), some in high abundance like keratins. Human proteins dominated in the influent water and were efficiently removed at the effluent. Several of the proteins identified (S100A8, uromodulin, defensins) are known disease biomarkers. This study provides the first insight into the proteome profiles present in real wastewater.

Keywords

Biomolecules, Proteomics, Sewage water, Sewage, Polymers, Proteins, Wastewater, Waste Disposal, Fluid, HPLC-HRMS, Sewage epidemiology, Humans, Biomarkers, Water Pollutants, Chemical, Water fingerprinting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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