• 文献标题:   A highly sensitive and selective sensor based on a graphene-coated carbon paste electrode modified with a computationally designed boron-embedded duplex molecularly imprinted hybrid membrane for the sensing of lamotrigine
  • 文献类型:   Article
  • 作  者:   WANG HJ, QIAN D, XIAO XL, GAO SQ, CHENG JL, HE B, LIAO LF, DENG J
  • 作者关键词:   lamotrigine, computational design, duplex molecularly imprinted hybrid membrane, electrochemical sensor
  • 出版物名称:   BIOSENSORS BIOELECTRONICS
  • ISSN:   0956-5663 EI 1873-4235
  • 通讯作者地址:   Univ South China
  • 被引频次:   10
  • DOI:   10.1016/j.bios.2017.03.055
  • 出版年:   2017

▎ 摘  要

An innovative electrochemical sensor, based on a carbon paste electrode (CPE) modified with graphene (GR) and a boron-embedded duplex molecularly imprinted hybrid membrane (B-DMIHM), was fabricated for the highly sensitive and selective determination of lamotrigine (LMT). Density functional theory (DPT) was employed to study the interactions between the template and monomers to screen appropriate functional monomers for rational design of the B-DMIHM. The distinct synergic effect of GR and B-DMIHM was evidenced by the positive shift of the reduction peak potential of LMT at B-DMIHM/GR modified CPE (BDMIHM/GR/CPE) by about 300 mV, and the 13-fold amplification of the peak current, compared to a bare carbon paste electrode (CPE). The electrochemical reduction mechanism of lamotrigine was investigated by different voltammetric techniques. It was illustrated that square wave voltammetry (SWV) was more sensitive than different pulse voltammetry (DPV) for the quantitative analysis of LMT. Thereafter, a highly sensitive electroanalytical method for LMT was established by SWV at B-DMIHM/GR/CPE with a good linear relationship from 5.0x10(-8) to 5.0x10(-5) and 5.0x10(-5) to 3.0x10(-4) mol L-1 with a lower detection limit (1.52x10(-9) mol L-1) based on the lower linear range(S/N=3). The practical application of the sensor was demonstrated by determining the concentration of LMT in pharmaceutical and biological samples with good precision (RSD 1.04-4.41%) and acceptable recoveries (92.40-107.0%).