One-pot synthesis of multifunctional sliver nanoparticles with controlled size for sensitive colorimetric and electrochemiluminescent immunoassay of SARS-CoV-2.

Journal: Analytica Chimica Acta
Published:
Abstract

Silver nanoparticles (AgNPs) have great potential in a broad range of applications because of their biochemical functionality, unique physical and optical properties. However, it is still a great challenge to synthesize small-size AgNPs with good stability and high performance for biosensors. In this work, triethanolamine and polyacrylic acid modified AgNPs (TEOA@AgNPs-PAA) with controllable size and high catalytic activity for sensitive detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are reported. Monodisperse TEOA@AgNPs-PAA are prepared by the one-pot synthesis using the TEOA and PAA as reducing agent and surfactant, respectively. The size of TEOA@AgNPs-PAA (the average size of 8.65 nm) is 6 times smaller than that of the TEOA@AgNPs (52 ± 1.5 nm) without PAA. The as-prepared TEOA@AgNPs-PAA possess catalytic activity and present mimicking property of horseradish peroxidase, which are employed to fabricate colorimetric biosensors by catalyzing the reaction between H2O2 and 3,3',5,5'-tetramethylbenzidine (TMB) to produce blue oxTMB for sensitive detection of SARS-CoV-2 spiking proteins. Significantly, the small-size TEOA@AgNPs-PAA can catalyze electroreduction process of K2S2O8 to enhance the cathodic ECL signal, and their surface cap abundant TEOA molecules, which can also act as a coreactant to enhance the anodic ECL of Ru(bpy)32+. Under optimal conditions, the fabricate immunosensors for anodic and cathodic ECL determination of SARS-CoV-2 present the detection limits of 9.2 fg/mL and 14.3 fg/mL (S/N = 3), respectively. This work exhibits a promising novel strategy for the development of multifunctional AgNPs as an efficient sensing platform for the clinical diagnosis and biosensing application.

Authors
Xiangyu Li, Xiaolan Yang, Bo Liu, Jiali Luo, Huquan Chen, Jin Chen, Birui Wang, Yue Hu, Zhaohong Su, Xiaoli Qin