Multisignal Biosensors Based on Mn Paramagnetic Relaxation and Nanocatalysis for Norovirus Detection

• Published in: Analytical chemistry (Washington) 2024-03, Vol.96 (10), p.4031-4038
• Main Authors: Huang, Lei, Zhang, Xue, Mao, Zefeng, Ren, Shuyue, Zhou, Huanying, Liu, Baolin, Gao, Zhixian
• Format: Article
• Language: English
• Subjects: Amplification; Ascorbic acid; Benzenesulfonic acids; Biosensors; Colorimetry; Cyclodextrins; Gold; Manganese dioxide; Nanocatalysis; Nanoparticles; Oxidation; Peroxidase; Polymerase chain reaction; Reagents; Recombinase; Reverse transcription; β-Cyclodextrin
• ISSN: 0003-2700; 1520-6882
• DOI: 10.1021/acs.analchem.3c03950

A multisignal method for the sensitive detection of norovirus based on Mn paramagnetic relaxation and nanocatalysis was developed. This dual-modality sensing platform was based on the strong relaxation generated by cracked Au@MnO2 nanoparticles (NPs) and their intrinsic enzyme-like activity. Ascorbic acid rapidly cracked the MnO2 layer of Au@MnO2 NPs to release Mn­(II), resulting in the relaxation modality being in a “switch-on” state. Under the optimal conditions, the relaxation modality exhibited a wide working range (6.02 × 103–3.01 × 107 copies/μL) and a limit of detection (LOD) of 2.29 × 103 copies/μL. Using 4,4′,4″,4″′-(porphine-5,10,15,20-tetrayl) tetrakis (benzenesulfonic acid) (tpps)-β-cyclodextrin (tpps-β-CD) as a T 1 relaxation signal amplification reagent, a lower LOD was obtained. The colorimetric modality exploited the “peroxidase/oxidase-like” activity of Au@MnO2 NPs, which catalyzed the oxidation of colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to blue oxidized TMB, which exhibited a working range (6.02 × 104–6.02 × 106 copies/μL) and an LOD of 2.6 × 104 copies/μL. In addition, the rapid amplification reaction of recombinase polymerase enabled the detection of low norovirus levels in food samples and obtained a working range of 101–106 copies/mL and LOD of 101 copies/mL (relaxation modality). The accuracy of the sensor in the analysis of spiked samples was consistent with that of the real-time quantitative reverse transcription polymerase chain reaction, demonstrating the high accuracy and practical utility of the sensor.