• 文献标题:   SARS-CoV-2 multi-variant rapid detector based on graphene transistor functionalized with an engineered dimeric ACE2 receptor
  • 文献类型:   Article
  • 作  者:   ROMAGNOLI A, D AGOSTINO M, PAVONI E, ARDICCIONI C, MOTTA S, CRIPPA P, BIAGETTI G, NOTARSTEFANO V, REXHA J, PERTA N, BAROCCI S, COSTABILE BK, COLASURDO G, CAUCCI S, MENCARELLI D, TURCHETTI C, FARINA M, PIERANTONI L, LA TEANA A, AL HADI R, CICCONARDI F, CHINAPPI M, TRUCCHI E, MANCIA F, MENZO S, DELLA ROCCA BM, D ANNESSA I, DI MARINO D
  • 作者关键词:   sarscov2 variant, biosensor, gfet, pointofcare, molecular dynamic, omicron, centauru, cerberu
  • 出版物名称:   NANO TODAY
  • ISSN:   1748-0132 EI 1878-044X
  • 通讯作者地址:  
  • 被引频次:   1
  • DOI:   10.1016/j.nantod.2022.101729 EA DEC 2022
  • 出版年:   2023

▎ 摘  要

Reliable point-of-care (POC) rapid tests are crucial to detect infection and contain the spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The emergence of several variants of concern (VOC) can reduce binding affinity to diagnostic antibodies, limiting the efficacy of the currently adopted tests, while showing unaltered or increased affinity for the host receptor, angiotensin converting enzyme 2 (ACE2). We present a graphene field-effect transistor (gFET) biosensor design, which exploits the Spike-ACE2 interaction, the crucial step for SARS-CoV-2 infection. Extensive computational analyses show that a chimeric ACE2-Fragment crystallizable (ACE2-Fc) construct mimics the native receptor dimeric con-formation. ACE2-Fc functionalized gFET allows in vitro detection of the trimeric Spike protein, out-performing functionalization with a diagnostic antibody or with the soluble ACE2 portion, resulting in a sensitivity of 20 pg/mL. Our miniaturized POC biosensor successfully detects B.1.610 (pre-VOC), Alpha, Beta, Gamma, Delta, Omicron (i.e., BA.1, BA.2, BA.4, BA.5, BA.2.75 and BQ.1) variants in isolated viruses and pa-tient's clinical nasopharyngeal swabs. The biosensor reached a Limit Of Detection (LOD) of 65 cps/mL in swab specimens of Omicron BA.5. Our approach paves the way for a new and reusable class of highly sensitive, rapid and variant-robust SARS-CoV-2 detection systems. (c) 2022 Published by Elsevier Ltd.