Contaminant Removal from Wastewater by Microalgal Photobioreactors and Modeling by Artificial Neural Network DOI Open Access
Amin Mojiri, Noriatsu Ozaki, Reza Andasht Kazeroon

et al.

Water, Journal Year: 2022, Volume and Issue: 14(24), P. 4046 - 4046

Published: Dec. 12, 2022

The potential of microalgal photobioreactors in removing total ammonia nitrogen (TAN), chemical oxygen demand (COD), caffeine (CAF), and N,N-diethyl-m-toluamide (DEET) from synthetic wastewater was studied. Chlorella vulgaris achieved maximum removal 62.2% TAN, 52.8% COD, 62.7% CAF, 51.8% DEET. By mixing C. with activated sludge, the photobioreactor showed better performance, 82.3% 67.7% 85.7% 73.3% Proteobacteria, Bacteroidetes, Chloroflexi were identified as dominant phyla sludge. processes then optimized by artificial neural network (ANN). High R2 values (>0.99) low mean squared errors demonstrated that ANN could optimize reactors’ performance. toxicity testing high concentrations contaminants (>10 mg/L) long contact time (>48 h) reduced chlorophyll protein contents microalgae. Overall, a green technology for treatment using microalgae bacteria consortium has its potentials sustainable management water resources.

Language: Английский

Microbiome and Resistome in Poultry Litter-Fertilized and Unfertilized Agricultural Soils DOI Creative Commons
Eliene dos Santos Lopes, Laís Cristina de Souza, Karen Caroline Ferreira Santaren

et al.

Antibiotics, Journal Year: 2025, Volume and Issue: 14(4), P. 355 - 355

Published: March 31, 2025

Background: Poultry litter is the main waste of poultry farming and widely used as an agricultural fertilizer. However, owing to use antimicrobials in animal production, it can accumulate antimicrobial residues, antimicrobial-resistant bacteria (ARB), resistance genes (ARGs). This study aimed evaluate impact on microbiome resistome soils. Methods: Soil samples from fertilized unfertilized plots were collected two horticultural farms that intensively litter. Microbiome composition was assessed using 16S rRNA sequencing. A culture-dependent method isolate resistant strains CHROMagar plates supplemented with sulfamethoxazole or ciprofloxacin. ARGs integrase-encoding identified by PCR. Results: analysis revealed significant differences structure between litter-fertilized Fertilized soils exhibited greater alpha diversity richness. Bacillota, commonly found avian gastrointestinal tract, more abundant total 62 isolated, 23 clinically relevant harbored ARGs, including fluoroquinolone (qnrA qnrB) β-lactam (blaGES, blaTEM, blaSHV) genes. Class 1 2 integron-associated (intI1 intI2) also detected. Notably, rare blaGES gene detected Bacillus sp. soil. Similarly, qnrA co-occurred blaSHV a Bosea strain Conclusions: These findings highlight potential for ARB dissemination environments, where once introduced into soils, may spread weathering other environmental factors, complicating negative control selection situ studies.

Language: Английский

Citations

0

Accelerating enrichment of ARGs and MGEs with increasing ammonium removal during partial nitrification treating high-strength ammonia wastewater DOI

Heng Yu,

Weiyi Jia,

Yunlong Luo

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121657 - 121657

Published: April 1, 2025

Language: Английский

Citations

0

Focusing on the interfacial charge transfer by carbon quantum dots from FeTiO3 perovskite for enhanced photocatalytic antibiotic degradation DOI
Esra Bilgin Şimşek, Özlem Tuna

Diamond and Related Materials, Journal Year: 2023, Volume and Issue: 140, P. 110556 - 110556

Published: Oct. 29, 2023

Language: Английский

Citations

10

Insight into the responses of performance, bacterial community and three-fraction resistance genes to different quaternary ammonium compounds in nitrifying system under the stress of environmental ciprofloxacin DOI

Hongxin Xu,

Jingfeng Gao,

Yukun Yuan

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 496, P. 154241 - 154241

Published: July 24, 2024

Language: Английский

Citations

3

Contaminant Removal from Wastewater by Microalgal Photobioreactors and Modeling by Artificial Neural Network DOI Open Access
Amin Mojiri, Noriatsu Ozaki, Reza Andasht Kazeroon

et al.

Water, Journal Year: 2022, Volume and Issue: 14(24), P. 4046 - 4046

Published: Dec. 12, 2022

The potential of microalgal photobioreactors in removing total ammonia nitrogen (TAN), chemical oxygen demand (COD), caffeine (CAF), and N,N-diethyl-m-toluamide (DEET) from synthetic wastewater was studied. Chlorella vulgaris achieved maximum removal 62.2% TAN, 52.8% COD, 62.7% CAF, 51.8% DEET. By mixing C. with activated sludge, the photobioreactor showed better performance, 82.3% 67.7% 85.7% 73.3% Proteobacteria, Bacteroidetes, Chloroflexi were identified as dominant phyla sludge. processes then optimized by artificial neural network (ANN). High R2 values (>0.99) low mean squared errors demonstrated that ANN could optimize reactors’ performance. toxicity testing high concentrations contaminants (>10 mg/L) long contact time (>48 h) reduced chlorophyll protein contents microalgae. Overall, a green technology for treatment using microalgae bacteria consortium has its potentials sustainable management water resources.

Language: Английский

Citations

14