Tran Thi Bich Quyen, Ngo Nguyen Tra My, Nguyen Thi Quyen Tran, Tran Minh Khang, Luong Huynh Vu Thanh, Bui Le Anh Tuan, Duy Toan Pham, Nguyen Le Thanh Huynh
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引用次数: 0
Abstract
In this study, AuM (M = Pt, Pd) bimetallic hexagonals (AuM BHGs) were successfully combined with graphene quantum dots (GQDs) by a simple method at ambient temperature (~ 30 °C) to form AuM BHGs/GQDs nanocomposites with enhanced properties and electro-activities. The synthesized AuM BHGs/GQDs were also characterized by UV–Vis, XRD, FTIR, XPS, AFM, TEM, and EDS. The novel AuM BHGs/GQDs were successfully synthesized, possessed an average particle size of AuM BHGs (~ 50–60 nm) and GQDs (~ 6–16 nm), and were homogeneously distributed in the dispersion. Furthermore, AuM BHGs/GQDs nanocomposites were also investigated as a sensitive sensor in the H2O2 detection by cyclic voltammetry method, with a low H2O2 limit of detection (LOD) of 0.865 nM, high sensitivity of 1.27 μAnM−1cm−2 and a wide detection range from 10–12 to 10–3 M. Therefore, AuM BHG/GQDs nanocomposites could be used to detect H2O2 with high sensitivity and fast response.
期刊介绍:
Journal of Materials Research (JMR) publishes the latest advances about the creation of new materials and materials with novel functionalities, fundamental understanding of processes that control the response of materials, and development of materials with significant performance improvements relative to state of the art materials. JMR welcomes papers that highlight novel processing techniques, the application and development of new analytical tools, and interpretation of fundamental materials science to achieve enhanced materials properties and uses. Materials research papers in the following topical areas are welcome.
• Novel materials discovery
• Electronic, photonic and magnetic materials
• Energy Conversion and storage materials
• New thermal and structural materials
• Soft materials
• Biomaterials and related topics
• Nanoscale science and technology
• Advances in materials characterization methods and techniques
• Computational materials science, modeling and theory