• 文献标题:   A novel detection strategy for nitrofuran metabolite residues: Dual-mode competitive-type electrochemical immunosensor based on polyethyleneimine reduced graphene oxide/gold nanorods nanocomposite and silica-based multifunctional immunoprobe
  • 文献类型:   Article
  • 作  者:   WANG BT, HE BS, XIE LL, CAO XY, LIANG ZY, WEI M, JIN HL, REN WJ, SUO ZG, XU YW
  • 作者关键词:   dual mode, competitive type electrochemical immunosensor, peirgo@aunr, thioninesio 2 @aupt, nitrofuran metabolite
  • 出版物名称:   SCIENCE OF THE TOTAL ENVIRONMENT
  • ISSN:   0048-9697 EI 1879-1026
  • 通讯作者地址:  
  • 被引频次:   0
  • DOI:   10.1016/j.scitotenv.2022.158676 EA SEP 2022
  • 出版年:   2022

▎ 摘  要

Excessive residues of semicarbazide (SEM) can accumulate in animals after the original drug has been abused, posing a risk to human health. Herein, based on multifunctional silica-initiated dual mode signal response, a novel competitivetype immunosensor was constructed for ultrasensitive detection of SEM. As a preliminary signal amplification platform for immunosensors, polyethyleneimine reduced graphene oxide composite gold nanorods (PEI-rGO/AuNRs) modified gold electrodes (AuE) provide a high specific surface area and high electrical conductivity. The thionine-aminated silica nanospheres-AuPt (thi-SiO2@AuPt) were synthesized by a racile coprecipitation method for enzyme immobilization and redox species loading. The multifunctional silica nanosphere conjugated with labeling antibodies (Ab2) was employed as an immunoprobe. The per unit concentration target of SEM can be determined by differential pulse voltammetry (DPV) to detect the thi loaded on the immunoprobe, which can also be determined by square wave voltammetry (SWV) to detect the current generated by the reaction system of H2O2 and hydroquinone (HQ) catalyzed by the immunoprobe with peroxidase. Under optimal conditions, the proposed immunosensor displayed a wide linear range from 1 mu g-0.01 ng/mL and low detection limits (S/N = 3) of 0.488 pg/mL and 0.0157 ng/mL, respectively. Ultimately, the developed method exhibits excellent performance in practical applications, providing promising probabilities for SEM detection.