4.7 Article

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

Journal

ANALYTICA CHIMICA ACTA
Volume 1082, Issue -, Pages 165-175

Publisher

ELSEVIER
DOI: 10.1016/j.aca.2019.07.056

Keywords

Pulsed laser; Carbon fiber paper; Nickel nanostructures; Glucose sensing; Blood serum; Perspiration

Funding

  1. National Natural Science Foundation of China [U1830108]
  2. Science and Technology Commission of Shanghai Municipality [17DZ1202300]
  3. Innovation Foundation of Shanghai Aerospace Science and Technology [SAST2018-061]
  4. exploratory research project of Yanchang Petroleum (Group)Fudan University
  5. Taicang Science and Technology Commission Foundation [TC2018JC05]

Ask authors/readers for more resources

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-modelingpredicting-optimizing design was employed to simulate, model and optimize processing parameters to gain the optimal conductivity of 8.52 x 10(6) S m(-1). The obtained sensor owned high electrochemical activity and wide linear responses (0.80 mu M-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. (C) 2019 Elsevier B.V. All rights reserved.

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