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Developing Graphene-Based Nanohybrids for Electrochemical Sensing.
Song, He; Zhang, Xiaoyuan; Liu, Yunfang; Su, Zhiqiang.
Afiliación
  • Song H; Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing University of Chemical Technology, Beijing, China.
  • Zhang X; Chair of Materials Science, Otto Schott Institute of Materials Research, Friedrich Schiller University Jena, Jena, Germany.
  • Liu Y; Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer Materials, Beijing University of Chemical Technology, Beijing, China.
  • Su Z; State Key Laboratory of Chemical Resource Engineering, Beijing Key Laboratory of Advanced Functional Polymer Composites, Beijing University of Chemical Technology, Beijing, China.
Chem Rec ; 19(2-3): 534-549, 2019 Feb.
Article en En | MEDLINE | ID: mdl-30182467
Graphene-based nanohybrid is considered to be the most promising nanomaterial for electrochemical sensing applications due to the defects created on the graphene oxide layers. These defects provide graphene oxide unique properties, such as excellent conductivity, large specific surface area, and electrocatalytic activity. These unique properties encourage scientists to develop novel graphene-based nanohybrids and improve the sensing efficiency. This review, therefore, addresses this topic by comprehensively discussing the strategies to fabricate novel graphene based nanohybrids with high sensitivity. The combinations of graphene with various nanomaterials, such as metal nanoclusters, metal compound nanoparticles, carbon materials, polymers and peptides, in the direction of electrochemical sensing, were systematically analyzed. Meanwhile, the challenges in the functional design and application of graphene-based nanohybrids were described and the reasonable solutions were proposed.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Chem Rec Asunto de la revista: QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Chem Rec Asunto de la revista: QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: China