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      Colorimetric sensing of biomarkers based on the enzyme-mimetic activity of metal nanoclusters

      , , , ,
      Chemical Engineering Journal
      Elsevier BV

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          Intrinsic peroxidase-like activity of ferromagnetic nanoparticles.

          Nanoparticles containing magnetic materials, such as magnetite (Fe3O4), are particularly useful for imaging and separation techniques. As these nanoparticles are generally considered to be biologically and chemically inert, they are typically coated with metal catalysts, antibodies or enzymes to increase their functionality as separation agents. Here, we report that magnetite nanoparticles in fact possess an intrinsic enzyme mimetic activity similar to that found in natural peroxidases, which are widely used to oxidize organic substrates in the treatment of wastewater or as detection tools. Based on this finding, we have developed a novel immunoassay in which antibody-modified magnetite nanoparticles provide three functions: capture, separation and detection. The stability, ease of production and versatility of these nanoparticles makes them a powerful tool for a wide range of potential applications in medicine, biotechnology and environmental chemistry.
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            Patterned paper as a platform for inexpensive, low-volume, portable bioassays.

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              Incorporating graphene oxide and gold nanoclusters: a synergistic catalyst with surprisingly high peroxidase-like activity over a broad pH range and its application for cancer cell detection.

              A synergistic graphene oxide-gold nanocluster (GO-AuNC) hybrid has been constructed as an enzyme mimic that is able to show high catalytic activity over a broad pH range, especially at neutral pH. Importantly, the target-functionalized hybrid has been applied as a robust nanoprobe for selective, quantitative, and fast colorimetric detection of cancer cells. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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                Author and article information

                Journal
                Chemical Engineering Journal
                Chemical Engineering Journal
                Elsevier BV
                13858947
                June 2023
                June 2023
                : 465
                : 142817
                Article
                10.1016/j.cej.2023.142817
                9ea001ea-7489-4f36-96cf-6fe0f663f027
                © 2023

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

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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