Programmable nano-reactors for stochastic sensing

Wendong Jia, Chengzhen Hu, Yuqin Wang, Yuming Gu, Guangrui Qian, Xiaoyu Du, Liying Wang, Yao Liu, Jiao Cao, Shanyu Zhang, Shuanghong Yan, Panke Zhang, Jing Ma, Hong-Yuan Chen and Shuo Huang ()
Additional contact information
Wendong Jia: Nanjing University
Chengzhen Hu: Nanjing University
Yuqin Wang: Nanjing University
Yuming Gu: Nanjing University
Guangrui Qian: Intelligence Qubic Technology Co. Ltd
Xiaoyu Du: Nanjing University
Liying Wang: Nanjing University
Yao Liu: Nanjing University
Jiao Cao: Nanjing University
Shanyu Zhang: Nanjing University
Shuanghong Yan: Nanjing University
Panke Zhang: Nanjing University
Jing Ma: Nanjing University
Hong-Yuan Chen: Nanjing University
Shuo Huang: Nanjing University

Nature Communications, 2021, vol. 12, issue 1, 1-13

Abstract: Abstract Chemical reactions of single molecules, caused by rapid formation or breaking of chemical bonds, are difficult to observe even with state-of-the-art instruments. A biological nanopore can be engineered into a single molecule reactor, capable of detecting the binding of a monatomic ion or the transient appearance of chemical intermediates. Pore engineering of this type is however technically challenging, which has significantly restricted further development of this technique. We propose a versatile strategy, “programmable nano-reactors for stochastic sensing” (PNRSS), by which a variety of single molecule reactions of hydrogen peroxide, metal ions, ethylene glycol, glycerol, lactic acid, vitamins, catecholamines or nucleoside analogues can be observed directly. PNRSS presents a refined sensing resolution which can be further enhanced by an artificial intelligence algorithm. Remdesivir, a nucleoside analogue and an investigational anti-viral drug used to treat COVID-19, can be distinguished from its active triphosphate form by PNRSS, suggesting applications in pharmacokinetics or drug screening.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.nature.com/articles/s41467-021-26054-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26054-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-021-26054-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().