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      Dual-modal label-free genosensor based on hemoglobin@gold nanocluster stabilized graphene nanosheets for the electrochemical detection of BCR/ABL fusion gene

      , , , ,
      Talanta
      Elsevier BV

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          High-yield production of graphene by liquid-phase exfoliation of graphite.

          Fully exploiting the properties of graphene will require a method for the mass production of this remarkable material. Two main routes are possible: large-scale growth or large-scale exfoliation. Here, we demonstrate graphene dispersions with concentrations up to approximately 0.01 mg ml(-1), produced by dispersion and exfoliation of graphite in organic solvents such as N-methyl-pyrrolidone. This is possible because the energy required to exfoliate graphene is balanced by the solvent-graphene interaction for solvents whose surface energies match that of graphene. We confirm the presence of individual graphene sheets by Raman spectroscopy, transmission electron microscopy and electron diffraction. Our method results in a monolayer yield of approximately 1 wt%, which could potentially be improved to 7-12 wt% with further processing. The absence of defects or oxides is confirmed by X-ray photoelectron, infrared and Raman spectroscopies. We are able to produce semi-transparent conducting films and conducting composites. Solution processing of graphene opens up a range of potential large-area applications, from device and sensor fabrication to liquid-phase chemistry.
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            One-Step Ionic-Liquid-Assisted Electrochemical Synthesis of Ionic-Liquid-Functionalized Graphene Sheets Directly from Graphite

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              Gold nanoparticle-based biosensors

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                Author and article information

                Journal
                Talanta
                Talanta
                Elsevier BV
                00399140
                September 2020
                September 2020
                : 217
                : 121093
                Article
                10.1016/j.talanta.2020.121093
                32498906
                a1e03953-b16f-4daa-8257-f671b22fe6a0
                © 2020

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

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