Prospects of single-cell nuclear magnetic resonance spectroscopy with quantum sensors.


Journal

Current opinion in biotechnology
ISSN: 1879-0429
Titre abrégé: Curr Opin Biotechnol
Pays: England
ID NLM: 9100492

Informations de publication

Date de publication:
10 2023
Historique:
received: 05 11 2022
revised: 08 06 2023
accepted: 03 07 2023
medline: 11 9 2023
pubmed: 14 8 2023
entrez: 13 8 2023
Statut: ppublish

Résumé

Single-cell analysis can unravel functional heterogeneity within cell populations otherwise obscured by ensemble measurements. However, noninvasive techniques that probe chemical entities and their dynamics are still lacking. This challenge could be overcome by novel sensors based on nitrogen-vacancy (NV) centers in diamond, which enable nuclear magnetic resonance (NMR) spectroscopy on unprecedented sample volumes. In this perspective, we briefly introduce NV-based quantum sensing and review the progress made in microscale NV-NMR spectroscopy. Last, we discuss approaches to enhance the sensitivity of NV ensemble magnetometers to detect biologically relevant concentrations and provide a roadmap toward their application in single-cell analysis.

Identifiants

pubmed: 37573624
pii: S0958-1669(23)00085-X
doi: 10.1016/j.copbio.2023.102975
pii:
doi:

Substances chimiques

Diamond 7782-40-3
Nitrogen N762921K75

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

102975

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest N.R.N, R.D.A., and D.B.B. declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

Auteurs

Nick R Neuling (NR)

Technical University of Munich, TUM School of Natural Sciences, Department of Chemistry, Lichtenbergstr. 4, 85748 Garching b. München, Germany; Munich Center of Quantum Science and Technology (MCQST), Schellingstr. 4, 80779 München, Germany.

Robin D Allert (RD)

Technical University of Munich, TUM School of Natural Sciences, Department of Chemistry, Lichtenbergstr. 4, 85748 Garching b. München, Germany; Munich Center of Quantum Science and Technology (MCQST), Schellingstr. 4, 80779 München, Germany.

Dominik B Bucher (DB)

Technical University of Munich, TUM School of Natural Sciences, Department of Chemistry, Lichtenbergstr. 4, 85748 Garching b. München, Germany; Munich Center of Quantum Science and Technology (MCQST), Schellingstr. 4, 80779 München, Germany. Electronic address: dominik.bucher@tum.de.

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Classifications MeSH