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      Modified tri–axial electrospun functional core–shell nanofibrous membranes for natural photodegradation of antibiotics

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      Chemical Engineering Journal
      Elsevier BV

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          Fecal pollution can explain antibiotic resistance gene abundances in anthropogenically impacted environments

          Discharge of treated sewage leads to release of antibiotic resistant bacteria, resistance genes and antibiotic residues to the environment. However, it is unclear whether increased abundance of antibiotic resistance genes in sewage and sewage-impacted environments is due to on-site selection pressure by residual antibiotics, or is simply a result of fecal contamination with resistant bacteria. Here we analyze relative resistance gene abundance and accompanying extent of fecal pollution in publicly available metagenomic data, using crAssphage sequences as a marker of human fecal contamination (crAssphage is a bacteriophage that is exceptionally abundant in, and specific to, human feces). We find that the presence of resistance genes can largely be explained by fecal pollution, with no clear signs of selection in the environment, with the exception of environments polluted by very high levels of antibiotics from manufacturing, where selection is evident. Our results demonstrate the necessity to take into account fecal pollution levels to avoid making erroneous assumptions regarding environmental selection of antibiotic resistance.
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            Significance of Nanomaterials in Wearables: A Review on Wearable Actuators and Sensors

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              Electrospinning for tissue engineering applications

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                Author and article information

                Contributors
                Journal
                Chemical Engineering Journal
                Chemical Engineering Journal
                Elsevier BV
                13858947
                December 2021
                December 2021
                : 425
                : 131455
                Article
                10.1016/j.cej.2021.131455
                d3072b3f-cf15-4722-9561-89d0380b6651
                © 2021

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

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