Li Yang, Zhang Mingfa, Zhang Xiaopeng, Xie Guocheng, Su Zhiqiang, Wei Gang
State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Hybrid Materials Interface Group, Faculty of Production Engineering, University of Bremen, Bremen D-28359, Germany.
Nanomaterials (Basel). 2015 Nov 6;5(4):1891-1905. doi: 10.3390/nano5041891.
We describe the preparation of nanoporous carbon nanofibers (CNFs) decorated with platinum nanoparticles (PtNPs) in this work by electrospining polyacrylonitrile (PAN) nanofibers and subsequent carbonization and binding of PtNPs. The fabricated nanoporous CNF-PtNP hybrids were further utilized to modify glass carbon electrodes and used for the non-enzymatic amperometric biosensor for the highly sensitive detection of hydrogen peroxide (H₂O₂). The morphologies of the fabricated nanoporous CNF-PtNP hybrids were observed by scanning electron microscopy, transmission electron microscopy, and their structure was further investigated with Brunauer-Emmett-Teller (BET) surface area analysis, X-ray photoelectron spectroscopy, X-ray diffraction, and Raman spectrum. The cyclic voltammetry experiments indicate that CNF-PtNP modified electrodes have high electrocatalytic activity toward H₂O₂ and the chronoamperometry measurements illustrate that the fabricated biosensor has a high sensitivity for detecting H₂O₂. We anticipate that the strategies utilized in this work will not only guide the further design and fabrication of functional nanofiber-based biomaterials and nanodevices, but also extend the potential applications in energy storage, cytology, and tissue engineering.
在这项工作中，我们描述了通过静电纺丝聚丙烯腈（PAN）纳米纤维以及随后的碳化和铂纳米颗粒（PtNPs）的结合来制备装饰有铂纳米颗粒的纳米多孔碳纳米纤维（CNFs）。所制备的纳米多孔CNF-PtNP杂化物进一步用于修饰玻碳电极，并用于非酶电流型生物传感器，以高灵敏度检测过氧化氢（H₂O₂）。通过扫描电子显微镜、透射电子显微镜观察所制备的纳米多孔CNF-PtNP杂化物的形态，并用布鲁诺尔-埃米特-泰勒（BET）表面积分析、X射线光电子能谱、X射线衍射和拉曼光谱进一步研究其结构。循环伏安法实验表明，CNF-PtNP修饰电极对H₂O₂具有高电催化活性，计时电流法测量表明所制备的生物传感器对检测H₂O₂具有高灵敏度。我们预计，这项工作中采用的策略不仅将指导基于功能纳米纤维的生物材料和纳米器件的进一步设计和制造，还将扩展其在能量存储、细胞学和组织工程中的潜在应用。
