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      Understanding intricacies of bioinspired organic-inorganic hybrid nanoflowers: A quest to achieve enhanced biomolecules immobilization for biocatalytic, biosensing and bioremediation applications

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      Advances in Colloid and Interface Science
      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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            Potential of Different Enzyme Immobilization Strategies to Improve Enzyme Performance

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              Improvement of enzyme activity, stability and selectivity via immobilization techniques

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                Author and article information

                Journal
                Advances in Colloid and Interface Science
                Advances in Colloid and Interface Science
                Elsevier BV
                00018686
                September 2021
                September 2021
                : 295
                : 102484
                Article
                10.1016/j.cis.2021.102484
                34358991
                db6b6db9-a0e1-4ac2-b15a-453aca54c503
                © 2021

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

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