Environmental risk assessment of silver nanoparticles in aquatic ecosystems using fuzzy logic
Visualitza/Obre
Cita com:
hdl:2117/372940
Tipus de documentArticle
Data publicació2022-06-11
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement 4.0 Internacional
Abstract
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.
CitacióRamirez, R.; Martí, V.; Darbra, R.M. Environmental risk assessment of silver nanoparticles in aquatic ecosystems using fuzzy logic. "Water (Switzerland)", 11 Juny 2022, vol. 14, núm. 12, article 1885.
ISSN2073-4441
Versió de l'editorhttps://www.mdpi.com/2073-4441/14/12/1885
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
water-14-01885.pdf | Article | 2,609Mb | Visualitza/Obre |