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Programmable nano-reactors for stochastic sensing

delete2021-10-04
delete34
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OA
AI
W
Wendong Jia
C
Chengzhen Hu
王
王玉琴 (Yuqin Wang)
Y
Yuming Gu
G
Guang‐Rui Qian
X
Xiaoyu Du
L
Liying Wang
Y
Yao Liu
J
Jiao Cao
张
张善雨 (Shanyu Zhang)
S
Shuanghong Yan
P
Panke Zhang
马
马晶 (Jing Ma)
陈洪渊 封面图
陈洪渊 (Hong‐Yuan Chen)
S
Shuo Huang *
DOI:10.1038/s41467-021-26054-9delete
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摘要

摘要

En 中文
Monitoring single molecule chemical reactions can be difficult and nanopore based strategies which have shown promise are technically challenging. Here, the authors report on a technique which allows for the direct observation of different reactions and demonstrate the ability to distinguish clinically relevant analogues. 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.
Keyword:
ALPHA-HEMOLYSIN
REAL-TIME
PROTEIN TRANSLOCATION
DENSITY FUNCTIONALS
CLICK CHEMISTRY
BORIC-ACID
COMPLEXATION
DNA
DISCRIMINATION
ANALOG
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期刊

Nature Communications 封面图
Nature Communications
IF:
15.7
论文数:
9.4W
被引数:
91.2W

机构

N
nanjing university
学者数:
7.8W
论文数: 5.6W
被引数: 87
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