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Removal of most frequent microplastic types and sizes in secondary effluent using Al(2)(SO(4))(3): choosing variables by a fuzzy Delphi method
Microplastics (MPs) as an emerging pollutant can affect aquatic organisms through physical ingestion, chemical problems and possible creation of biological layers on their surfaces in the environment. One of the significant ways for MPs to enter the aquatic environment is through the effluent discha...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676421/ https://www.ncbi.nlm.nih.gov/pubmed/38007565 http://dx.doi.org/10.1038/s41598-023-47803-4 |
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author | Azizi, Nahid Pirsaheb, Meghdad Haghighi, Nematollah Jaafarzadeh Nodehi, Ramin Nabizadeh |
author_facet | Azizi, Nahid Pirsaheb, Meghdad Haghighi, Nematollah Jaafarzadeh Nodehi, Ramin Nabizadeh |
author_sort | Azizi, Nahid |
collection | PubMed |
description | Microplastics (MPs) as an emerging pollutant can affect aquatic organisms through physical ingestion, chemical problems and possible creation of biological layers on their surfaces in the environment. One of the significant ways for MPs to enter the aquatic environment is through the effluent discharge of wastewater treatment plants (WWTPs). In this study, first, the concentration and characteristics of MPs in secondary wastewater effluent, and the influential variables related to the coagulation process, for MPs removal were identified using systematic reviews of previous studies. Then, the most proper MPs characterization and coagulation variables were chosen by experts’ opinions using a fuzzy Delphi method. Therefore, the experiment tested in conditions close to the full-scale wastewater treatments. Finally, in the laboratory removal of MPs by coagulation of polyamide (PA), polystyrene (PS), and polyethylene (PE), < 125 and 300–600 μm in size, was tested by a jar test applying Al(2)(SO(4))(3) in doses of 5 to 100 mg/L plus 15 mg/L polyacrylamide as a coagulant aid. Using R and Excel software, the results were analyzed statistically. It was concluded that the maximum and minimum removal efficiency was 74.7 and 1.39% for small PA and large PE, respectively. Smaller MPs were found to have higher removal efficiency. The MPs type PA achieved greater removal efficiency than PS, while PE had the least removal efficiency. |
format | Online Article Text |
id | pubmed-10676421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106764212023-11-25 Removal of most frequent microplastic types and sizes in secondary effluent using Al(2)(SO(4))(3): choosing variables by a fuzzy Delphi method Azizi, Nahid Pirsaheb, Meghdad Haghighi, Nematollah Jaafarzadeh Nodehi, Ramin Nabizadeh Sci Rep Article Microplastics (MPs) as an emerging pollutant can affect aquatic organisms through physical ingestion, chemical problems and possible creation of biological layers on their surfaces in the environment. One of the significant ways for MPs to enter the aquatic environment is through the effluent discharge of wastewater treatment plants (WWTPs). In this study, first, the concentration and characteristics of MPs in secondary wastewater effluent, and the influential variables related to the coagulation process, for MPs removal were identified using systematic reviews of previous studies. Then, the most proper MPs characterization and coagulation variables were chosen by experts’ opinions using a fuzzy Delphi method. Therefore, the experiment tested in conditions close to the full-scale wastewater treatments. Finally, in the laboratory removal of MPs by coagulation of polyamide (PA), polystyrene (PS), and polyethylene (PE), < 125 and 300–600 μm in size, was tested by a jar test applying Al(2)(SO(4))(3) in doses of 5 to 100 mg/L plus 15 mg/L polyacrylamide as a coagulant aid. Using R and Excel software, the results were analyzed statistically. It was concluded that the maximum and minimum removal efficiency was 74.7 and 1.39% for small PA and large PE, respectively. Smaller MPs were found to have higher removal efficiency. The MPs type PA achieved greater removal efficiency than PS, while PE had the least removal efficiency. Nature Publishing Group UK 2023-11-25 /pmc/articles/PMC10676421/ /pubmed/38007565 http://dx.doi.org/10.1038/s41598-023-47803-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Azizi, Nahid Pirsaheb, Meghdad Haghighi, Nematollah Jaafarzadeh Nodehi, Ramin Nabizadeh Removal of most frequent microplastic types and sizes in secondary effluent using Al(2)(SO(4))(3): choosing variables by a fuzzy Delphi method |
title | Removal of most frequent microplastic types and sizes in secondary effluent using Al(2)(SO(4))(3): choosing variables by a fuzzy Delphi method |
title_full | Removal of most frequent microplastic types and sizes in secondary effluent using Al(2)(SO(4))(3): choosing variables by a fuzzy Delphi method |
title_fullStr | Removal of most frequent microplastic types and sizes in secondary effluent using Al(2)(SO(4))(3): choosing variables by a fuzzy Delphi method |
title_full_unstemmed | Removal of most frequent microplastic types and sizes in secondary effluent using Al(2)(SO(4))(3): choosing variables by a fuzzy Delphi method |
title_short | Removal of most frequent microplastic types and sizes in secondary effluent using Al(2)(SO(4))(3): choosing variables by a fuzzy Delphi method |
title_sort | removal of most frequent microplastic types and sizes in secondary effluent using al(2)(so(4))(3): choosing variables by a fuzzy delphi method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676421/ https://www.ncbi.nlm.nih.gov/pubmed/38007565 http://dx.doi.org/10.1038/s41598-023-47803-4 |
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