Norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics: mechanistic analysis and prediction model
Activated carbon is often used in the drinking water advanced treatment process, which has good antibiotic removal capacity. However, the presence of nanoplastics (NPs) as carriers may increase the risk of antibiotic leakage in the carbon filtration column. We designed experiments with the polystyre...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023-05-01
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| Series: | Water Supply |
| Subjects: | |
| Online Access: | http://ws.iwaponline.com/content/23/5/2105 |
| _version_ | 1797808995028697088 |
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| author | Hongliang Ji Zhenzhong Liu Xianchuan Xie Wen Jiang Siwen Wan Boyan Wang Xiaofang Xiang |
| author_facet | Hongliang Ji Zhenzhong Liu Xianchuan Xie Wen Jiang Siwen Wan Boyan Wang Xiaofang Xiang |
| author_sort | Hongliang Ji |
| collection | DOAJ |
| description | Activated carbon is often used in the drinking water advanced treatment process, which has good antibiotic removal capacity. However, the presence of nanoplastics (NPs) as carriers may increase the risk of antibiotic leakage in the carbon filtration column. We designed experiments with the polystyrene nanoplastics (PSNPs) concentration, norfloxacin (NOR) concentration, flow rate, and ionic strength as four orthogonal factors to investigate the effects of each factor on NOR removal by carbon filtration columns. The influence mechanism of PSNPs was inferred by combining with NOR transport curves and characterization analysis, and a prediction model of NOR removal efficiency was established through back-propagation (BP) network. The results showed that the increase of both PSNPs concentration and flow rate decreased the NOR removal efficiency. There was an optimal value of NOR concentration to maximize the NOR removal efficiency, while with increasing ionic strength, the NOR removal efficiency decreased, then increased, and finally decreased again in an inverted ‘N’ pattern. Furthermore, PSNPs can affect NOR removal efficiency via carrier function and aggregation on the activated carbon surface. On the other hand, the relative errors of the predicted and experimental values for two evaluated samples were 3.37 and 6.62%, respectively, indicating a good prediction effect.
HIGHLIGHTS
Orthogonal experiments were designed to investigate the NOR removal efficiency by a carbon filtration column under different conditions.;
The effect of each orthogonal factor on the NOR removal efficiency by a carbon filtration column was discussed and the role played by PSNPs was inferred.;
A prediction model for the removal effectiveness of NOR by the carbon filtration column in the presence of PSNPs was developed.; |
| first_indexed | 2024-03-13T06:45:56Z |
| format | Article |
| id | doaj.art-0842eee7e84d4cf28c392c455887817a |
| institution | Directory Open Access Journal |
| issn | 1606-9749 1607-0798 |
| language | English |
| last_indexed | 2024-03-13T06:45:56Z |
| publishDate | 2023-05-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Supply |
| spelling | doaj.art-0842eee7e84d4cf28c392c455887817a2023-06-08T05:46:12ZengIWA PublishingWater Supply1606-97491607-07982023-05-012352105211810.2166/ws.2023.108108Norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics: mechanistic analysis and prediction modelHongliang Ji0Zhenzhong Liu1Xianchuan Xie2Wen Jiang3Siwen Wan4Boyan Wang5Xiaofang Xiang6 Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resources and Environment, Nanchang University, No. 999 Xuefu Avenue, Honggutan District, Nanchang, Jiangxi 330031, China Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resources and Environment, Nanchang University, No. 999 Xuefu Avenue, Honggutan District, Nanchang, Jiangxi 330031, China Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resources and Environment, Nanchang University, No. 999 Xuefu Avenue, Honggutan District, Nanchang, Jiangxi 330031, China PowerChina Jianxi Electric Power Engineering Co., LTD., No. 426 Jingdong Avenue, Qingshanhu District, Nanchang, Jiangxi 330096, China School of Infrastructure Engineering, Nanchang University, No. 999 Xuefu Avenue, Honggutan District, Nanchang, Jiangxi 330031, China School of Infrastructure Engineering, Nanchang University, No. 999 Xuefu Avenue, Honggutan District, Nanchang, Jiangxi 330031, China Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resources and Environment, Nanchang University, No. 999 Xuefu Avenue, Honggutan District, Nanchang, Jiangxi 330031, China Activated carbon is often used in the drinking water advanced treatment process, which has good antibiotic removal capacity. However, the presence of nanoplastics (NPs) as carriers may increase the risk of antibiotic leakage in the carbon filtration column. We designed experiments with the polystyrene nanoplastics (PSNPs) concentration, norfloxacin (NOR) concentration, flow rate, and ionic strength as four orthogonal factors to investigate the effects of each factor on NOR removal by carbon filtration columns. The influence mechanism of PSNPs was inferred by combining with NOR transport curves and characterization analysis, and a prediction model of NOR removal efficiency was established through back-propagation (BP) network. The results showed that the increase of both PSNPs concentration and flow rate decreased the NOR removal efficiency. There was an optimal value of NOR concentration to maximize the NOR removal efficiency, while with increasing ionic strength, the NOR removal efficiency decreased, then increased, and finally decreased again in an inverted ‘N’ pattern. Furthermore, PSNPs can affect NOR removal efficiency via carrier function and aggregation on the activated carbon surface. On the other hand, the relative errors of the predicted and experimental values for two evaluated samples were 3.37 and 6.62%, respectively, indicating a good prediction effect. HIGHLIGHTS Orthogonal experiments were designed to investigate the NOR removal efficiency by a carbon filtration column under different conditions.; The effect of each orthogonal factor on the NOR removal efficiency by a carbon filtration column was discussed and the role played by PSNPs was inferred.; A prediction model for the removal effectiveness of NOR by the carbon filtration column in the presence of PSNPs was developed.;http://ws.iwaponline.com/content/23/5/2105carbon filtration columnnorfloxacin (nor)orthogonalpolystyrene nanoplastics (psnps)prediction model |
| spellingShingle | Hongliang Ji Zhenzhong Liu Xianchuan Xie Wen Jiang Siwen Wan Boyan Wang Xiaofang Xiang Norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics: mechanistic analysis and prediction model Water Supply carbon filtration column norfloxacin (nor) orthogonal polystyrene nanoplastics (psnps) prediction model |
| title | Norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics: mechanistic analysis and prediction model |
| title_full | Norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics: mechanistic analysis and prediction model |
| title_fullStr | Norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics: mechanistic analysis and prediction model |
| title_full_unstemmed | Norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics: mechanistic analysis and prediction model |
| title_short | Norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics: mechanistic analysis and prediction model |
| title_sort | norfloxacin removal efficiency by a carbon filtration column under the influence of nanoplastics mechanistic analysis and prediction model |
| topic | carbon filtration column norfloxacin (nor) orthogonal polystyrene nanoplastics (psnps) prediction model |
| url | http://ws.iwaponline.com/content/23/5/2105 |
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