Author(s): Chen, Z (Chen, Zhi); Wu, CS (Wu, Chenshuo); Yuan, YX (Yuan, Yuxuan); Xie, ZJ (Xie, Zhongjian); Li, TZ (Li, Tianzhong); Huang, H (Huang, Hao); Li, S (Li, Shuang); Deng, JF (Deng, Jiefeng); Lin, HL (Lin, Huiling); Shi, Z (Shi, Zhe); Li, CZ (Li, Chaozhou); Hao, YB (Hao, Yabin); Tang, YX (Tang, Yuxuan); You, YH (You, Yuehua); Al-Hartomy, OA (Al-Hartomy, Omar A.); Wageh, S (Wageh, Swelm); Al-Sehemi, AG (Al-Sehemi, Abdullah G.); Lu, RT (Lu, Ruitao); Zhang, L (Zhang, Ling); Lin, XC (Lin, Xuechun); He, YQ (He, Yaqing); Zhao, GJ (Zhao, Guojun); Li, DF (Li, Defa); Zhang, H (Zhang, Han)
Source: JOURNAL OF NANOBIOTECHNOLOGY Volume: 21 Issue: 1 Article Number: 141 DOI: 10.1186/s12951-023-01903-5 Published: APR 29 2023
Abstract: Since the end of 2019, a highly contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has deprived numerous lives worldwide, called COVID-19. Up to date, omicron is the latest variant of concern, and BA.5 is replacing the BA.2 variant to become the main subtype rampaging worldwide. These subtypes harbor an L452R mutation, which increases their transmissibility among vaccinated people. Current methods for identifying SARS-CoV-2 variants are mainly based on polymerase chain reaction (PCR) followed by gene sequencing, making time-consuming processes and expensive instrumentation indispensable. In this study, we developed a rapid and ultrasensitive electrochemical biosensor to achieve the goals of high sensitivity, the ability of distinguishing the variants, and the direct detection of RNAs from viruses simultaneously. We used electrodes made of MXene-AuNP (gold nanoparticle) composites for improved sensitivity and the CRISPR/Cas13a system for high specificity in detecting the single-base L452R mutation in RNAs and clinical samples. Our biosensor will be an excellent supplement to the RT-qPCR method enabling the early diagnosis and quick distinguishment of SARS-CoV-2 Omicron BA.5 and BA.2 variants and more potential variants that might arise in the future.
Accession Number: WOS:000980650200003
PubMed ID: 37120637
Author Identifiers:
Author Web of Science ResearcherID ORCID Number
Al-Hartomy, Omar A. GZB-0056-2022 0000-0002-5148-627X
eISSN: 1477-3155