Dual Ligand-Induced Photoelectrochemical Sensing by Integrating Pt/MoS2 Heterostructure and AU Polyhedra for Sensitive Detection of SARS-CoV-2

作     者：Li, Haolin Zhao, Jialin Wu, Ting Fu, Zhao Zhang, Wei Lian, Zheng Cai, Shuangfei Yang, Rong 

作者机构：CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology University of Chinese Academy of Sciences Beijing100190 China Sino-Danish College Sino-Danish Center for Education and Research University of Chinese Academy of Sciences Beijing100049 China Institute of Applied Physics and Computational Mathematics Beijing100088 China 

出 版 物：《SSRN》 

年 卷 期：2022年

核心收录：

主　　题：Coronavirus 

摘      要：The continuous evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with discovery of multiple mutants, has caused widespread panic and concern worldwide. The rapid antigen detection method via a single ligand recognition, although currently implemented in many countries, remains challenging for mutated antigens. Herein, we present a novel strategy using a dual recognition by two types of targeted ligands, based on photoelectrochemical (PEC) sensing for detection of SARS-CoV-2 spike protein. To demonstrate this strategy, the specific antibodies are modified onto the photoactive material with a supported nanostructure, created by loading the Pt nanoparticles onto MoS2 nanosheets (Pt/MoS2) to boost photon-to-electricity conversion efficiency. By subsequent binding of the targeted aptamers to the Au polyhedra, which act as a signal amplifier to suppress PEC photocurrent by competing with the Pt/MoS2 for the absorption of excitation light energy, the dual recognition is successfully achieved. The constructed biosensor not only shows satisfactory stability, and high sensitivity, but is effective for test of the pseudovirus of SARS-CoV-2. The work provides useful advance for the development of PEC biosensors for sensitive detection of SARS-CoV-2. © 2022, The Authors. All rights reserved.