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COVID-19 related antiviral drugs are less adsorbable on sediment under alkaline and high cation conditions
The COVID-19 pandemic resulted in unprecedented usage and elevated environmental concentrations of antiviral drugs. However, very limited studies have reported their sorption characteristics on environmental matrices. This study investigated the sorption of six COVID-19 related antivirals on Taihu L...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140464/ https://www.ncbi.nlm.nih.gov/pubmed/37120016 http://dx.doi.org/10.1016/j.scitotenv.2023.163736 |
Sumario: | The COVID-19 pandemic resulted in unprecedented usage and elevated environmental concentrations of antiviral drugs. However, very limited studies have reported their sorption characteristics on environmental matrices. This study investigated the sorption of six COVID-19 related antivirals on Taihu Lake sediment with varied aqueous chemistry. Results showed that the sorption isotherms for arbidol (ABD), oseltamivir (OTV), and ritonavir (RTV) were linear, while the Freundlich model was the best-fit for ribavirin (RBV) and the Langmuir model for favipiravir (FPV) and remdesivir (RDV). Their distribution coefficient, K(d,) varied between 5.051 L/kg to 248.6 L/kg with the sorption capacities ranked as FPV > RDV > ABD > RTV > OTV > RBV. Alkaline conditions (pH 9) and elevated cation strength (0.05 M to 0.1 M) decreased the sorption capacities of the sediment for these drugs. Thermodynamic analysis revealed that the spontaneous sorption of RDV, ABD, and RTV was between physisorption and chemisorption while FPV, RBV, and OTV were mainly physisorption. Functional groups related to hydrogen bonds, π – π interaction, and surface complexation were implicated in the sorption processes. These findings enhance our understanding about the environmental fate of COVID-19 related antivirals and provide basic data for predicting their distribution and risk in the environment. |
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