Antibiotics resistance removal from piggery wastewater by an integrated anaerobic-aerobic biofilm reactor: Efficiency and mechanism.
- Publisher:
- ELSEVIER
- Publication Type:
- Journal Article
- Citation:
- Sci Total Environ, 2023, 905, pp. 167031
- Issue Date:
- 2023-12-20
Closed Access
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1-s2.0-S0048969723056565-main.pdf | Published version | 3.83 MB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Tang, L | |
dc.contributor.author | Pan, Z | |
dc.contributor.author |
Li, X https://orcid.org/0000-0003-1768-9556 |
|
dc.contributor.author | Li, J | |
dc.contributor.author | Meng, J | |
dc.date.accessioned | 2024-05-20T03:23:18Z | |
dc.date.available | 2023-09-10 | |
dc.date.available | 2024-05-20T03:23:18Z | |
dc.date.issued | 2023-12-20 | |
dc.identifier.citation | Sci Total Environ, 2023, 905, pp. 167031 | |
dc.identifier.issn | 0048-9697 | |
dc.identifier.issn | 1879-1026 | |
dc.identifier.uri | http://hdl.handle.net/10453/179048 | |
dc.description.abstract | Antibiotic resistance residual in piggery wastewater poses serious threat to environment and human health. Biological treatment process is commonly installed to remove nutrient from piggery wastewater and also effective in removing antibiotics to varying degrees. But the specific pathways and mechanisms involved in the removal of antibiotic resistance are not yet well-understood. An integrated anaerobic-aerobic biofilm reactor (IAOBR) has been demonstrated efficient in removing conventional nutrients. It is here shown that the IAOBR effectively removed 79.0% of Sulfonamides, 55.7% of Tetracyclines and 53.6% of Quinones. Antibiotic resistance bacteria (ARB) were simultaneously inactivated by ~0.5 logs. Antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) were decreased by 0.51 logs and 0.42 logs, respectively. The antibiotics were mainly removed through aerobic compartments of the IAOBR. The mass loss of antibiotics in the reactor was achieved by biodegradation and adsorption, accounting for 52.1% and 47.9%, respectively. An obvious accumulation of ARGs was observed in the activated sludge. The potential host of ARGs was analyzed via microbial community and network. Partial least squares-structural equation model and correlation analysis revealed that the enrichment of ARGs was positively affected by MGEs, followed by bacterial community and ARBs, but the effect of antibiotics on ARGs was negative. Outcomes of this study provide valuable insights into the mechanisms of antibiotic resistance removal in biological treatment processes. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | ELSEVIER | |
dc.relation.ispartof | Sci Total Environ | |
dc.relation.isbasedon | 10.1016/j.scitotenv.2023.167031 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject.classification | Environmental Sciences | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Wastewater | |
dc.subject.mesh | Angiotensin Receptor Antagonists | |
dc.subject.mesh | Genes, Bacterial | |
dc.subject.mesh | Anaerobiosis | |
dc.subject.mesh | Angiotensin-Converting Enzyme Inhibitors | |
dc.subject.mesh | Drug Resistance, Microbial | |
dc.subject.mesh | Bacteria | |
dc.subject.mesh | Sewage | |
dc.subject.mesh | Anti-Bacterial Agents | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Bacteria | |
dc.subject.mesh | Angiotensin-Converting Enzyme Inhibitors | |
dc.subject.mesh | Anti-Bacterial Agents | |
dc.subject.mesh | Sewage | |
dc.subject.mesh | Drug Resistance, Microbial | |
dc.subject.mesh | Anaerobiosis | |
dc.subject.mesh | Genes, Bacterial | |
dc.subject.mesh | Angiotensin Receptor Antagonists | |
dc.subject.mesh | Wastewater | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Wastewater | |
dc.subject.mesh | Angiotensin Receptor Antagonists | |
dc.subject.mesh | Genes, Bacterial | |
dc.subject.mesh | Anaerobiosis | |
dc.subject.mesh | Angiotensin-Converting Enzyme Inhibitors | |
dc.subject.mesh | Drug Resistance, Microbial | |
dc.subject.mesh | Bacteria | |
dc.subject.mesh | Sewage | |
dc.subject.mesh | Anti-Bacterial Agents | |
dc.title | Antibiotics resistance removal from piggery wastewater by an integrated anaerobic-aerobic biofilm reactor: Efficiency and mechanism. | |
dc.type | Journal Article | |
utslib.citation.volume | 905 | |
utslib.location.activity | Netherlands | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering | |
pubs.organisational-group | University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2024-05-20T03:23:17Z | |
pubs.publication-status | Published | |
pubs.volume | 905 |
Abstract:
Antibiotic resistance residual in piggery wastewater poses serious threat to environment and human health. Biological treatment process is commonly installed to remove nutrient from piggery wastewater and also effective in removing antibiotics to varying degrees. But the specific pathways and mechanisms involved in the removal of antibiotic resistance are not yet well-understood. An integrated anaerobic-aerobic biofilm reactor (IAOBR) has been demonstrated efficient in removing conventional nutrients. It is here shown that the IAOBR effectively removed 79.0% of Sulfonamides, 55.7% of Tetracyclines and 53.6% of Quinones. Antibiotic resistance bacteria (ARB) were simultaneously inactivated by ~0.5 logs. Antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) were decreased by 0.51 logs and 0.42 logs, respectively. The antibiotics were mainly removed through aerobic compartments of the IAOBR. The mass loss of antibiotics in the reactor was achieved by biodegradation and adsorption, accounting for 52.1% and 47.9%, respectively. An obvious accumulation of ARGs was observed in the activated sludge. The potential host of ARGs was analyzed via microbial community and network. Partial least squares-structural equation model and correlation analysis revealed that the enrichment of ARGs was positively affected by MGEs, followed by bacterial community and ARBs, but the effect of antibiotics on ARGs was negative. Outcomes of this study provide valuable insights into the mechanisms of antibiotic resistance removal in biological treatment processes.
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