Triclosan is the Predominant Antibacterial Compound in Ontario Sewage Sludge
In: Environmental Science & Technology, Jg. 56 (2022-11-01), Heft 21, S. 14923-14936
Online
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Zugriff:
Sewage treatment plants (STPs) accumulate both antibiotic and nonantibiotic antimicrobial compounds that can select for antibiotic resistant bacteria. Herein, we aimed to identify the predominant antibacterial compounds impacting E. colifrom Ontario sewage sludge consisting of thousands of unknown compounds. Among the 10 extracted sludge samples, 6 extracts exerted significant growth inhibition effects in E. coli. A total of 103 compounds were tentatively detected across the 10 sludge samples by suspect screening, among which the bacterial enoyl-ACP reductase (FabI) inhibitor triclocarban was detected at the highest abundance. A hypomorphic FabI knockdown E. colistrain was highly susceptible to the sludge extracts, confirming FabI inhibitors as the primary antibacterial compounds in the sludge. Protein affinity pulldown identified triclosan as the major ligand binding to a His-tagged FabI protein from the sludge, despite the higher abundance of triclocarban in the same samples. Effect-directed analysis was used to determine the contributions of triclosan to the observed antibacterial potencies. Antibacterial effects were only detected in F17and F18across 20 fractions, which was consistent with the elution of triclosan and triclocarban in the same two fractions. Further, potency mass balance analysis confirmed that triclosan explained the majority (58–113%) of inhibition effects from sludge extracts. This study highlighted triclosan as the predominant antibacterial compound in sewage sludge impacting E. colidespite the co-occurrence of numerous other antibiotics and nonantibiotics.
Titel: |
Triclosan is the Predominant Antibacterial Compound in Ontario Sewage Sludge
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Autor/in / Beteiligte Person: | Barrett, Holly ; Sun, Jianxian ; Gong, Yufeng ; Yang, Paul ; Hao, Chunyan ; Verreault, Jonathan ; Zhang, Yu ; Peng, Hui |
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Zeitschrift: | Environmental Science & Technology, Jg. 56 (2022-11-01), Heft 21, S. 14923-14936 |
Veröffentlichung: | 2022 |
Medientyp: | serialPeriodical |
ISSN: | 0013-936X (print) ; 1520-5851 (print) |
DOI: | 10.1021/acs.est.2c00406 |
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