دورية أكاديمية
Exploring the correlations between epi indicators of COVID-19 and the concentration of pharmaceutical compounds in Wastewater Treatment Plants in Northern Portugal
| العنوان: | Exploring the correlations between epi indicators of COVID-19 and the concentration of pharmaceutical compounds in Wastewater Treatment Plants in Northern Portugal |
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| المؤلفون: | Silva, Ana Rita Pereira, Mesquita, D. P., Duarte, Maria Salomé Lira, Pereira, M. Fernando R., Alves, M. M., Monteiro, Sílvia, Santos, Ricardo, Cunha, Mónica V., Jorge, Sandra, Vieira, Joana, Vilaça, João, Lopes, Luísa C., Carvalho, Marta, Brito, Carlos, Martins, António, Pereira, Luciana |
| بيانات النشر: | Elsevier B.V. |
| سنة النشر: | 2023 |
| المجموعة: | Universidade of Minho: RepositóriUM |
| مصطلحات موضوعية: | COVID-19, Pharmaceuticals, Sludge, Wastewater |
| الوصف: | The COVID-19 pandemic caused by the SARS-CoV-2 virus led to changes in the lifestyle and human behaviour, which resulted in different consumption patterns of some classes of pharmaceuticals including curative, symptom-relieving, and psychotropic drugs. The trends in the consumption of these compounds are related to their concentrations in wastewater systems, since incompletely metabolised drugs (or their metabolites back transformed into the parental form) may be detected and quantified by analytical methods. Pharmaceuticals are highly recalcitrant compounds and conventional activated sludge processes implemented in wastewater treatment plants (WWTP) are ineffective at degrading these substances. As a results, these compounds end up in waterways or accumulate in the sludge, being a serious concern given their potential effects on ecosystems and public health. Therefore, it is crucial to evaluate the presence of pharmaceuticals in water and sludge to assist in the search for more effective processes. In this work, eight pharmaceuticals from five therapeutic classes were analysed in wastewater and sludge samples collected in two WWTP located in the Northern Portugal, during the third COVID-19 epidemic wave in Portugal. The two WWTP demonstrated a similar pattern with respect to the concentration levels in that period. However, the drugs loads reaching each WWTP were dissimilar when normalising the concentrations to the inlet flow rate. Acetaminophen (ACET) was the compound detected at highest concentrations in aqueous samples of both WWTP (98. 516 g L1 in WWTP2 and 123. 506 g L1in WWTP1), indicating that this drug is extensively used without the need of a prescription, known of general public knowledge as an antipyretic and analgesic agent to treat pain and fever. The concentrations determined in the sludge samples were below 1.65 µg g1 in both WWTP, the highest value being found for azithromycin (AZT). This result may be justified by the physico-chemical characteristics of the compound that favour its adsorption ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| ردمك: | 978-2-7724-1662-3 2-7724-1662-3 |
| تدمد: | 2772-4166 |
| العلاقة: | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04469%2F2020/PT; info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00329%2F2020/PT; info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04046%2F2020/PT; info:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F131905%2F2017/PT; info:eu-repo/grantAgreement/FCT/POR_NORTE/COVID%2FBD%2F151951%2F2021/PT; https://www.sciencedirect.com/science/article/pii/S2772416623000864Test; Silva, A. R., Mesquita, D. P., Salomé Duarte, M., Lado Ribeiro, A. R., Pereira, M. F. R., Madalena Alves, M., … Pereira, L. (2023, May). Exploring the correlations between epi indicators of COVID-19 and the concentration of pharmaceutical compounds in wastewater treatment plants in Northern Portugal. Journal of Hazardous Materials Advances. Elsevier BV. http://doi.org/10.1016/j.hazadv.2023.100315Test; https://hdl.handle.net/1822/84650Test; 100315 |
| DOI: | 10.1016/j.hazadv.2023.100315 |
| الإتاحة: | https://doi.org/10.1016/j.hazadv.2023.100315Test https://hdl.handle.net/1822/84650Test |
| حقوق: | info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc-nd/4.0Test/ |
| رقم الانضمام: | edsbas.D37653EC |
| قاعدة البيانات: | BASE |
Full Text Finder | ردمك: | 9782772416623 2772416623 |
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| تدمد: | 27724166 |
| DOI: | 10.1016/j.hazadv.2023.100315 |