Environmental Risk Assessment of Silver Nanoparticles in Aquatic Ecosystems Using Fuzzy Logic
The rapid development of nanotechnology has stimulated the use of silver nanoparticles (AgNPs) in various fields that leads to their presence in different ecosystem compartments, in particular aquatic ecosystems. Several studies have shown that a variety of living organisms are affected by AgNPs. Th...
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MDPI AG
2022-06-01
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Series: | Water |
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Online Access: | https://www.mdpi.com/2073-4441/14/12/1885 |
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author | Rosember Ramirez Vicenç Martí Rosa Mari Darbra |
author_facet | Rosember Ramirez Vicenç Martí Rosa Mari Darbra |
author_sort | Rosember Ramirez |
collection | DOAJ |
description | The rapid development of nanotechnology has stimulated the use of silver nanoparticles (AgNPs) in various fields that leads to their presence in different ecosystem compartments, in particular aquatic ecosystems. Several studies have shown that a variety of living organisms are affected by AgNPs. Therefore, a methodology to assess the risk of AgNPs for aquatic ecosystems was developed. The methodology is based on fuzzy logic, a proven method for dealing with variables with an associated uncertainty, as is the case with many variables related to AgNPs. After a careful literature search, a selection of relevant variables was carried out and the fuzzy model was designed. From inputs such as AgNPs’ size, shape, and coating, it is possible to determine their level of toxicity which, together with their level of concentration, are sufficient to create a risk assessment. Two case studies to assess this methodology are presented, one involving continuous effluent from a wastewater treatment plant and the second involving an accidental spill. The results showed that the accidental spills have a higher risk than WWTP release, with the combination of Plates–BPEI being the most toxic one. This approach can be adapted to different situations and types of nanoparticles, making it highly useful for both stakeholders and decision makers. |
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institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-03-09T22:12:34Z |
publishDate | 2022-06-01 |
publisher | MDPI AG |
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series | Water |
spelling | doaj.art-a4d041ede42e4361ad63b912dd1ca2382023-11-23T19:29:04ZengMDPI AGWater2073-44412022-06-011412188510.3390/w14121885Environmental Risk Assessment of Silver Nanoparticles in Aquatic Ecosystems Using Fuzzy LogicRosember Ramirez0Vicenç Martí1Rosa Mari Darbra2Resource Recovery and Environmental Management (R2EM), Department of Chemical Engineering, Universitat Politècnica de Catalunya, 08028 Barcelona, SpainResource Recovery and Environmental Management (R2EM), Department of Chemical Engineering, Universitat Politècnica de Catalunya, 08028 Barcelona, SpainResource Recovery and Environmental Management (R2EM), Department of Chemical Engineering, Universitat Politècnica de Catalunya, 08028 Barcelona, SpainThe rapid development of nanotechnology has stimulated the use of silver nanoparticles (AgNPs) in various fields that leads to their presence in different ecosystem compartments, in particular aquatic ecosystems. Several studies have shown that a variety of living organisms are affected by AgNPs. Therefore, a methodology to assess the risk of AgNPs for aquatic ecosystems was developed. The methodology is based on fuzzy logic, a proven method for dealing with variables with an associated uncertainty, as is the case with many variables related to AgNPs. After a careful literature search, a selection of relevant variables was carried out and the fuzzy model was designed. From inputs such as AgNPs’ size, shape, and coating, it is possible to determine their level of toxicity which, together with their level of concentration, are sufficient to create a risk assessment. Two case studies to assess this methodology are presented, one involving continuous effluent from a wastewater treatment plant and the second involving an accidental spill. The results showed that the accidental spills have a higher risk than WWTP release, with the combination of Plates–BPEI being the most toxic one. This approach can be adapted to different situations and types of nanoparticles, making it highly useful for both stakeholders and decision makers.https://www.mdpi.com/2073-4441/14/12/1885silver nanoparticlesrisk assessmentaquatic ecosystemsfuzzy logic |
spellingShingle | Rosember Ramirez Vicenç Martí Rosa Mari Darbra Environmental Risk Assessment of Silver Nanoparticles in Aquatic Ecosystems Using Fuzzy Logic Water silver nanoparticles risk assessment aquatic ecosystems fuzzy logic |
title | Environmental Risk Assessment of Silver Nanoparticles in Aquatic Ecosystems Using Fuzzy Logic |
title_full | Environmental Risk Assessment of Silver Nanoparticles in Aquatic Ecosystems Using Fuzzy Logic |
title_fullStr | Environmental Risk Assessment of Silver Nanoparticles in Aquatic Ecosystems Using Fuzzy Logic |
title_full_unstemmed | Environmental Risk Assessment of Silver Nanoparticles in Aquatic Ecosystems Using Fuzzy Logic |
title_short | Environmental Risk Assessment of Silver Nanoparticles in Aquatic Ecosystems Using Fuzzy Logic |
title_sort | environmental risk assessment of silver nanoparticles in aquatic ecosystems using fuzzy logic |
topic | silver nanoparticles risk assessment aquatic ecosystems fuzzy logic |
url | https://www.mdpi.com/2073-4441/14/12/1885 |
work_keys_str_mv | AT rosemberramirez environmentalriskassessmentofsilvernanoparticlesinaquaticecosystemsusingfuzzylogic AT vicencmarti environmentalriskassessmentofsilvernanoparticlesinaquaticecosystemsusingfuzzylogic AT rosamaridarbra environmentalriskassessmentofsilvernanoparticlesinaquaticecosystemsusingfuzzylogic |