Sökning: WFRF:(Good Peter J) > Pharmaceutical poll...
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000 | 08421naa a2201873 4500 | |
001 | oai:DiVA.org:su-203731 | |
003 | SwePub | |
008 | 220407s2022 | |||||||||||000 ||eng| | |
009 | oai:prod.swepub.kib.ki.se:149032122 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-2037312 URI |
024 | 7 | a https://doi.org/10.1073/pnas.21139471192 DOI |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1490321222 URI |
040 | a (SwePub)sud (SwePub)ki | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Wilkinson, John L.4 aut |
245 | 1 0 | a Pharmaceutical pollution of the world's rivers |
264 | c 2022-02-14 | |
264 | 1 | b Proceedings of the National Academy of Sciences,c 2022 |
338 | a print2 rdacarrier | |
520 | a Environmental exposure to active pharmaceutical ingredients (APIs) can have negative effects on the health of ecosystems and humans. While numerous studies have monitored APIs in rivers, these employ different analytical methods, measure different APIs, and have ignored many of the countries of the world. This makes it difficult to quantify the scale of the problem from a global perspective. Furthermore, comparison of the existing data, generated for different studies/regions/continents, is challenging due to the vast differences between the analytical methodologies employed. Here, we present a global-scale study of API pollution in 258 of the world's rivers, representing the environmental influence of 471.4 million people across 137 geographic regions. Samples were obtained from 1,052 locations in 104 countries (representing all continents and 36 countries not previously studied for API contamination) and analyzed for 61 APIs. Highest cumulative API concentrations were observed in sub-Saharan Africa, south Asia, and South America. The most contaminated sites were in low- to middle-income countries and were associated with areas with poor wastewater and waste management infrastructure and pharmaceutical manufacturing. The most frequently detected APIs were carbamazepine, metformin, and caffeine (a compound also arising from lifestyle use), which were detected at over half of the sites monitored. Concentrations of at least one API at 25.7% of the sampling sites were greater than concentrations considered safe for aquatic organisms, or which are of concern in terms of selection for antimicrobial resistance. Therefore, pharmaceutical pollution poses a global threat to environmental and human health, as well as to delivery of the United Nations Sustainable Development Goals. | |
650 | 7 | a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng |
653 | a pharmaceuticals | |
653 | a aquatic contamination | |
653 | a antimicrobials | |
653 | a global pollution | |
653 | a wastewater | |
700 | 1 | a Boxall, Alistair B. A.4 aut |
700 | 1 | a Kolpin, Dana W.4 aut |
700 | 1 | a Leung, Kenneth M. Y.4 aut |
700 | 1 | a Lai, Racliffe W. S.4 aut |
700 | 1 | a Galban-Malagon, Cristobal4 aut |
700 | 1 | a Adell, Aiko D.4 aut |
700 | 1 | a Mondon, Julie4 aut |
700 | 1 | a Metian, Marc4 aut |
700 | 1 | a Marchant, Robert A.4 aut |
700 | 1 | a Bouzas-Monroy, Alejandra4 aut |
700 | 1 | a Cuni-Sanchez, Aida4 aut |
700 | 1 | a Coors, Anja4 aut |
700 | 1 | a Carriquiriborde, Pedro4 aut |
700 | 1 | a Rojo, Macarena4 aut |
700 | 1 | a Gordon, Chris4 aut |
700 | 1 | a Cara, Magdalena4 aut |
700 | 1 | a Moermond, Monique4 aut |
700 | 1 | a Luarte, Thais4 aut |
700 | 1 | a Petrosyan, Vahagn4 aut |
700 | 1 | a Perikhanyan, Yekaterina4 aut |
700 | 1 | a Mahon, Clare S.4 aut |
700 | 1 | a McGurk, Christopher J.4 aut |
700 | 1 | a Hofmann, Thilo4 aut |
700 | 1 | a Kormoker, Tapos4 aut |
700 | 1 | a Iniguez, Volga4 aut |
700 | 1 | a Guzman-Otazo, Jessica4 aut |
700 | 1 | a Tavares, Jean L.4 aut |
700 | 1 | a De Figueiredo, Francisco Gildasio4 aut |
700 | 1 | a Razzolini, Maria T. P.4 aut |
700 | 1 | a Dougnon, Victorien4 aut |
700 | 1 | a Gbaguidi, Gildas4 aut |
700 | 1 | a Traore, Oumar4 aut |
700 | 1 | a Blais, Jules M.4 aut |
700 | 1 | a Kimpe, Linda E.4 aut |
700 | 1 | a Wong, Michelle4 aut |
700 | 1 | a Wong, Donald4 aut |
700 | 1 | a Ntchantcho, Romaric4 aut |
700 | 1 | a Pizarro, Jaime4 aut |
700 | 1 | a Ying, Guang-Guo4 aut |
700 | 1 | a Chen, Chang-Er4 aut |
700 | 1 | a Paez, Martha4 aut |
700 | 1 | a Martinez-Lara, Jina4 aut |
700 | 1 | a Otamonga, Jean-Paul4 aut |
700 | 1 | a Pote, John4 aut |
700 | 1 | a Ifo, Suspense A.4 aut |
700 | 1 | a Wilson, Penelope4 aut |
700 | 1 | a Udikovic-Kolic, Nikolina4 aut |
700 | 1 | a Milakovic, Milena4 aut |
700 | 1 | a Fatta-Kassinos, Despo4 aut |
700 | 1 | a Ioannou-Ttofa, Lida4 aut |
700 | 1 | a Vymazal, Jan4 aut |
700 | 1 | a Kassa, Bayable A.4 aut |
700 | 1 | a Garric, Jeanne4 aut |
700 | 1 | a Chaumot, Arnaud4 aut |
700 | 1 | a Gibba, Peter4 aut |
700 | 1 | a Kunchulia, Ilia4 aut |
700 | 1 | a Seidensticker, Sven4 aut |
700 | 1 | a Lyberatos, Gerasimos4 aut |
700 | 1 | a Halldorsson, Halldor P.4 aut |
700 | 1 | a Melling, Molly4 aut |
700 | 1 | a Shashidhar, Thatikonda4 aut |
700 | 1 | a Lamba, Manisha4 aut |
700 | 1 | a Nastiti, Anindrya4 aut |
700 | 1 | a Supriatin, Adee4 aut |
700 | 1 | a Pourang, Nima4 aut |
700 | 1 | a Abedini, Ali4 aut |
700 | 1 | a Abdullah, Omar4 aut |
700 | 1 | a Gharbia, Salem S.4 aut |
700 | 1 | a Pilla, Francesco4 aut |
700 | 1 | a Chefetz, Benny4 aut |
700 | 1 | a Topaz, Tom4 aut |
700 | 1 | a Yao, Koffi Marcellin4 aut |
700 | 1 | a Aubakirova, Bakhyt4 aut |
700 | 1 | a Beisenova, Raikhan4 aut |
700 | 1 | a Olaka, Lydia4 aut |
700 | 1 | a Mulu, Jemimah K.4 aut |
700 | 1 | a Chatanga, Peter4 aut |
700 | 1 | a Ntuli, Victor4 aut |
700 | 1 | a Blama, Nathaniel T.4 aut |
700 | 1 | a Sherif, Sheck4 aut |
700 | 1 | a Aris, Ahmad Zaharin4 aut |
700 | 1 | a Looi, Ley Juen4 aut |
700 | 1 | a Niang, Mahamoudane4 aut |
700 | 1 | a Traore, Seydou T.4 aut |
700 | 1 | a Oldenkamp, Rik4 aut |
700 | 1 | a Ogunbanwo, Olatayo4 aut |
700 | 1 | a Ashfaq, Muhammad4 aut |
700 | 1 | a Iqbal, Muhammad4 aut |
700 | 1 | a Abdeen, Ziad4 aut |
700 | 1 | a O'Dea, Aaron4 aut |
700 | 1 | a Morales-Saldana, Jorge Manuel4 aut |
700 | 1 | a de la Cruz, Heidi4 aut |
700 | 1 | a Navarrete, Ian4 aut |
700 | 1 | a Carvalho, Fabio4 aut |
700 | 1 | a Gogra, Alhaji Brima4 aut |
700 | 1 | a Koroma, Bashiru M.4 aut |
700 | 1 | a Cerkvenik-Flajs, Vesna4 aut |
700 | 1 | a Gombac, Mitja4 aut |
700 | 1 | a Thwala, Melusi4 aut |
700 | 1 | a Choi, Kyungho4 aut |
700 | 1 | a Kang, Habyeong4 aut |
700 | 1 | a Ladu, John L. Celestino4 aut |
700 | 1 | a Rico, Andreu4 aut |
700 | 1 | a Amerasinghe, Priyanie4 aut |
700 | 1 | a Sobek, Annau Stockholms universitet,Institutionen för miljövetenskap4 aut0 (Swepub:su)subek |
700 | 1 | a Horlitz, Giselau Stockholms universitet,Institutionen för miljövetenskap4 aut0 (Swepub:su)giho2168 |
700 | 1 | a Zenker, Armin K.4 aut |
700 | 1 | a King, Alex C.4 aut |
700 | 1 | a Jiang, Jheng-Jie4 aut |
700 | 1 | a Kariuki, Rebecca4 aut |
700 | 1 | a Tumbo, Madaka4 aut |
700 | 1 | a Tezel, Ulas4 aut |
700 | 1 | a Onay, Turgut T.4 aut |
700 | 1 | a Lejju, Julius B.4 aut |
700 | 1 | a Vystavna, Yuliya4 aut |
700 | 1 | a Vergeles, Yuriy4 aut |
700 | 1 | a Heinzen, Horacio4 aut |
700 | 1 | a Perez-Parada, Andres4 aut |
700 | 1 | a Sims, Douglas B.4 aut |
700 | 1 | a Figy, Maritza4 aut |
700 | 1 | a Good, David4 aut |
700 | 1 | a Teta, Charles4 aut |
710 | 2 | a Stockholms universitetb Institutionen för miljövetenskap4 org |
773 | 0 | t Proceedings of the National Academy of Sciences of the United States of Americad : Proceedings of the National Academy of Sciencesg 119:8q 119:8x 0027-8424x 1091-6490 |
856 | 4 | u https://doi.org/10.1073/pnas.2113947119y Fulltext |
856 | 4 | u https://www.pnas.org/content/pnas/119/8/e2113947119.full.pdf |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-203731 |
856 | 4 8 | u https://doi.org/10.1073/pnas.2113947119 |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:149032122 |
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