• 文献标题:   Label-free immunosensor based on graphene/polyaniline nanocomposite for neutrophil gelatinase-associated lipocalin detection
  • 文献类型:   Article
  • 作  者:   YUKIRD J, WONGTANGPRASERT T, RANGKUPAN R, CHAILAPAKUL O, PISITKUN T, RODTHONGKUM N
  • 作者关键词:   graphene, polyaniline, electrospraying, electropolymerization, immunosensor, neutrophil gelatinaseassociated lipocalin ngal, acute kidney injury aki
  • 出版物名称:   BIOSENSORS BIOELECTRONICS
  • ISSN:   0956-5663 EI 1873-4235
  • 通讯作者地址:   Chulalongkorn Univ
  • 被引频次:   18
  • DOI:   10.1016/j.bios.2016.08.062
  • 出版年:   2017

▎ 摘  要

A novel label-free electrochemical immunosensor for neutrophil gelatinase-associated lipocalin (NGAL) detection has been developed. The immunosensor has been constructed by immobilization of NGAL capture antibodies to electropolymerized aniline deposited on top of an electrosprayed graphene/polyaniline (G/PANI) modified screen printed carbon electrode. Electrospraying of G/PANI increases the electrode surface area while electropolymerization of aniline increases the number of amino groups (-NH2) for antibody immobilization. The factors affecting the sensor sensitivity (i.e. aniline concentration, scan number and scan rate of electropolymerization) have been optimized. In a prior report, Kannan et al. reported a broad oxidation peak in cyclic voltammetry upon the binding between NGAL with its antibody. In this study, a dramatic increase (58-fold) in the oxidation current upon the binding between NGAL and its antibody is obtained when compared to an unmodified electrode, verifying a substantial improvement in the electrochemical sensitivity of this system. Under optimal conditions, this system exhibits high sensitivity with a limit of detection (LOD) of 21.1 ng mL(-1), wide linearity (50-500 ng mL(-1)) and high specificity toward NGAL detection from small samples (10 mu L). As an example application, the sensor is tested for the detection of NGAL in human urine, and the results correspond well with the values obtained from a standard ELISA. Compared to the ELISA method, our system requires less analysis time (