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一种基于纳流镍网络修饰的脉冲激光烧蚀碳纸的新型超灵敏无酶葡萄糖传感器。

A novel and ultrasensitive nonenzymatic glucose sensor based on pulsed laser scribed carbon paper decorated with nanoporous nickel network.

机构信息

Department of Materials Science, Fudan University, Shanghai, 200433, People's Republic of China; Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, United States.

Department of Materials Science, Fudan University, Shanghai, 200433, People's Republic of China.

出版信息

Anal Chim Acta. 2019 Nov 15;1082:165-175. doi: 10.1016/j.aca.2019.07.056. Epub 2019 Jul 29.

Abstract

Functional laser scribing carbon paper (LSCP) decorated with highly uniform Ni nanoparticles were constructed through a facile electroless plating. The nanocomposites were characterized by high resolution scanning electron microscope, X-ray photoelectron spectroscopy, electrochemical impedance spectroscopy, cyclic voltammetry and chronoamperometry. The results showed high electron transferring kinetics of this sensor, which can be ascribed to their excellent properties such as rich pore channels, excellent structural durability, and large surface area. These properties facilitated mass transfer and electron conductions. Notably, a systematical response surface methodology simulating-modeling-predicting-optimizing design was employed to simulate, model and optimize processing parameters to gain the optimal conductivity of 8.52 × 10 S m. The obtained sensor owned high electrochemical activity and wide linear responses (0.80 μM-2.50 mM and 4.50 mM-15.20 mM), low detection limit of 20 nM (S/N = 3) to the glucose detection. The glucose determination in human serum and perspiration samples are also successful. Therefore, LSCP/NN provides an excellent sensing platform towards flexible biosensors in monitoring physical conditions.

摘要

通过简单的化学镀方法制备了具有高度均匀 Ni 纳米粒子的功能性激光刻划碳纸 (LSCP)。通过高分辨率扫描电子显微镜、X 射线光电子能谱、电化学阻抗谱、循环伏安法和计时电流法对纳米复合材料进行了表征。结果表明,该传感器具有较高的电子转移动力学,这可归因于其良好的性能,如丰富的孔道、优异的结构耐久性和较大的比表面积。这些特性促进了质量传递和电子传导。值得注意的是,采用系统的响应面方法模拟-建模-预测-优化设计来模拟、建模和优化处理参数,以获得最佳电导率 8.52×10 S m。所得到的传感器具有高的电化学活性和宽的线性响应(0.80 μM-2.50 mM 和 4.50 mM-15.20 mM),对葡萄糖检测的检测限低至 20 nM(S/N=3)。在人血清和汗液样品中的葡萄糖测定也获得了成功。因此,LSCP/NN 为监测生理状态的柔性生物传感器提供了一个极好的传感平台。

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