SARS-CoV-2 Quantum Sensor Based on Nitrogen-Vacancy Centers in Diamond.

COVID19 pandemic Nanodiamond Nitrogen-vacancy center Virus diagnosis

Journal

Nano letters
ISSN: 1530-6992
Titre abrégé: Nano Lett
Pays: United States
ID NLM: 101088070

Informations de publication

Date de publication:
12 01 2022
Historique:
pubmed: 17 12 2021
medline: 18 1 2022
entrez: 16 12 2021
Statut: ppublish

Résumé

The development of highly sensitive and rapid biosensing tools targeted to the highly contagious virus SARS-CoV-2 is critical to tackling the COVID-19 pandemic. Quantum sensors can play an important role because of their superior sensitivity and fast improvements in recent years. Here we propose a molecular transducer designed for nitrogen-vacancy (NV) centers in nanodiamonds, translating the presence of SARS-CoV-2 RNA into an unambiguous magnetic noise signal that can be optically read out. We evaluate the performance of the hybrid sensor, including its sensitivity and false negative rate, and compare it to widespread diagnostic methods. The proposed method is fast and promises to reach a sensitivity down to a few hundreds of RNA copies with false negative rate less than 1%. The proposed hybrid sensor can be further implemented with different solid-state defects and substrates, generalized to diagnose other RNA viruses, and integrated with CRISPR technology.

Identifiants

pubmed: 34913700
doi: 10.1021/acs.nanolett.1c02868
doi:

Substances chimiques

RNA, Viral 0
Diamond 7782-40-3
Nitrogen N762921K75

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-49

Subventions

Organisme : US Army Research Office
ID : W911NF-15-1-0548

Auteurs

Changhao Li (C)

Research Laboratory of Electronics and Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.

Rouhollah Soleyman (R)

Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.

Mohammad Kohandel (M)

Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.

Paola Cappellaro (P)

Research Laboratory of Electronics and Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.

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Classifications MeSH