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

и другие.

Water, Год журнала: 2022, Номер 14(24), С. 4046 - 4046

Опубликована: Дек. 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.

Язык: 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

и другие.

Antibiotics, Год журнала: 2025, Номер 14(4), С. 355 - 355

Опубликована: Март 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.

Язык: Английский

Процитировано

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

и другие.

Environmental Research, Год журнала: 2025, Номер unknown, С. 121657 - 121657

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

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, Год журнала: 2023, Номер 140, С. 110556 - 110556

Опубликована: Окт. 29, 2023

Язык: Английский

Процитировано

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

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер 496, С. 154241 - 154241

Опубликована: Июль 24, 2024

Язык: Английский

Процитировано

3

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

и другие.

Water, Год журнала: 2022, Номер 14(24), С. 4046 - 4046

Опубликована: Дек. 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.

Язык: Английский

Процитировано

14