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      Graphene-based electrochemical sensors for antibiotic detection in water, food and soil: A scientometric analysis in CiteSpace (2011–2021)

      , , , , , , ,
      Chemosphere
      Elsevier BV

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          CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature

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            Comprehensive evaluation of antibiotics emission and fate in the river basins of China: source analysis, multimedia modeling, and linkage to bacterial resistance.

            Antibiotics are widely used in humans and animals, but there is a big concern about their negative impacts on ecosystem and human health after use. So far there is a lack of information on emission inventory and environmental fate of antibiotics in China. We studied national consumption, emissions, and multimedia fate of 36 frequently detected antibiotics in China by market survey, data analysis, and level III fugacity modeling tools. Based on our survey, the total usage for the 36 chemicals was 92700 tons in 2013, an estimated 54000 tons of the antibiotics was excreted by human and animals, and eventually 53800 tons of them entered into the receiving environment following various wastewater treatments. The fugacity model successfully predicted environmental concentrations (PECs) in all 58 river basins of China, which are comparable to the reported measured environmental concentrations (MECs) available in some basins. The bacterial resistance rates in the hospitals and aquatic environments were found to be related to the PECs and antibiotic usages, especially for those antibiotics used in the most recent period. This is the first comprehensive study which demonstrates an alarming usage and emission of various antibiotics in China.
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              Advanced carbon electrode materials for molecular electrochemistry.

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                Author and article information

                Contributors
                Journal
                Chemosphere
                Chemosphere
                Elsevier BV
                00456535
                June 2022
                June 2022
                : 297
                : 134127
                Article
                10.1016/j.chemosphere.2022.134127
                35240147
                b4c6546e-ee94-41c6-973d-e53bb90fba15
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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