0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Surface amorphization oxygen vacancy-rich porous Sn3Ox nanosheets for boosted photoelectrocatalytic bacterial inactivation

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references51

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Will 10 Million People Die a Year due to Antimicrobial Resistance by 2050?

          Marlieke de Kraker and colleagues reflect on the need for better global estimates for the burden of antimicrobial resistance.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Global trends in antimicrobial resistance in animals in low- and middle-income countries

            The global scale-up in demand for animal protein is the most notable dietary trend of our time. Antimicrobial consumption in animals is threefold that of humans and has enabled large-scale animal protein production. The consequences for the development of antimicrobial resistance in animals have received comparatively less attention than in humans. We analyzed 901 point prevalence surveys of pathogens in developing countries to map resistance in animals. China and India represented the largest hotspots of resistance, with new hotspots emerging in Brazil and Kenya. From 2000 to 2018, the proportion of antimicrobials showing resistance above 50% increased from 0.15 to 0.41 in chickens and from 0.13 to 0.34 in pigs. Escalating resistance in animals is anticipated to have important consequences for animal health and, eventually, for human health.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Interfacial engineering of Bi 2 S 3 /Ti 3 C 2 T x MXene based on work function for rapid photo-excited bacteria-killing

              In view of increasing drug resistance, ecofriendly photoelectrical materials are promising alternatives to antibiotics. Here we design an interfacial Schottky junction of Bi2S3/Ti3C2T x resulting from the contact potential difference between Ti3C2T x and Bi2S3. The different work functions induce the formation of a local electrophilic/nucleophilic region. The self-driven charge transfer across the interface increases the local electron density on Ti3C2T x . The formed Schottky barrier inhibits the backflow of electrons and boosts the charge transfer and separation. The photocatalytic activity of Bi2S3/Ti3C2T x intensively improved the amount of reactive oxygen species under 808 nm near-infrared radiation. They kill 99.86% of Staphylococcus aureus and 99.92% of Escherichia coli with the assistance of hyperthermia within 10 min. We propose the theory of interfacial engineering based on work function and accordingly design the ecofriendly photoresponsive Schottky junction using two kinds of components with different work functions to effectively eradicate bacterial infection.
                Bookmark

                Author and article information

                Contributors
                Journal
                Rare Metals
                Rare Met.
                Springer Science and Business Media LLC
                1001-0521
                1867-7185
                May 2023
                February 10 2023
                May 2023
                : 42
                : 5
                : 1508-1515
                Article
                10.1007/s12598-022-02208-6
                2b5789b1-cfc8-4eb8-928c-2ecfe16d7ff4
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

                History

                Comments

                Comment on this article