Abstract

Quantum tunnelling offers a unique opportunity to study nanoscale objects with atomic resolution using electrical readout. However, practical implementation is impeded by the lack of simple, stable probes, that are required for successful operation. Existing platforms offer low throughput and operate in a limited range of analyte concentrations, as there is no active control to transport molecules to the sensor. We report on a standalone tunnelling probe based on double-barrelled capillary nanoelectrodes that do not require a conductive substrate to operate unlike other techniques, such as scanning tunnelling microscopy. These probes can be used to efficiently operate in solution environments and detect single molecules, including mononucleotides, oligonucleotides, and proteins. The probes are simple to fabricate, exhibit remarkable stability, and can be combined with dielectrophoretic trapping, enabling active analyte transport to the tunnelling sensor. The latter allows for up to 5-orders of magnitude increase in event detection rates and sub-femtomolar sensitivity.

Probes that effectively utilize quantum tunneling are sought after for high-resolution study of nanoscale objects. Here the authors present an easily fabricated probe of two nanoelectrodes that enables highly sensitive quantum-tunneling-based sensing of single molecules.

Details

Title
Combined quantum tunnelling and dielectrophoretic trapping for molecular analysis at ultra-low analyte concentrations
Author
Tang, Longhua 1   VIAFID ORCID Logo  ; Nadappuram, Binoy Paulose 2 ; Cadinu, Paolo 2 ; Zhao, Zhiyu 3 ; Xue, Liang 2   VIAFID ORCID Logo  ; Yi, Long 2 ; Ren, Ren 2   VIAFID ORCID Logo  ; Wang, Jiangwei 3   VIAFID ORCID Logo  ; Ivanov, Aleksandar P. 2   VIAFID ORCID Logo  ; Edel, Joshua B. 2   VIAFID ORCID Logo 

 Zhejiang University, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering; International Research Center for Advanced Photonics, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X); Imperial College London, Department of Chemistry, Molecular Science Research Hub, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); Zhejiang University, Innovation Institute for Artificial Intelligence in Medicine, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
 Imperial College London, Department of Chemistry, Molecular Science Research Hub, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 Zhejiang University, Center of Electron Microscopy and State Key Laboratory of Silicon Materials, School of Materials Science and Engineering, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
Pages
913
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2833382649
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.