scholarly journals Single Molecule Reaction Kinetics within Femtoliter Volume Containers

2009 ◽  
Vol 96 (3) ◽  
pp. 602a
Author(s):  
Ana Jofre ◽  
Ben Faulk ◽  
Shira Stav
2021 ◽  
Author(s):  
Wei Liu ◽  
Zhonglin Yang ◽  
Chaonan Yang ◽  
Yi-Lun Ying ◽  
Yi-Tao Long

The development of single-molecule reaction inside nanoconfinement is benefit to study the intrinsic molecular mechanism of a complex chemical reaction. However, the reaction kinetics model of single-molecule reaction inside confinement remains elusive. Herein we engineered the Aerolysin nanopore reactor to elaborate the single-molecule reaction kinetics inside nanoconfinement. By identifying bond forming and non-forming events directly, a four-state kinetics model is proposed for the first time. Our results demonstrated that the single-molecule reaction kinetics inside a nanopore depends on the voltage-dependent frequency of captured individual reactant and the fraction of effective collision inside nanopore confined space. This new insight will guide the design of nanoconfinement for resolving the single-molecule chemistry, and shed light on the mechanistic understanding of dynamic covalent chemistry in-side a nanopore


2008 ◽  
Vol 45 ◽  
pp. 41-56 ◽  
Author(s):  
Ramon Grima ◽  
Santiago Schnell

In the past decade, advances in molecular biology such as the development of non-invasive single molecule imaging techniques have given us a window into the intricate biochemical activities that occur inside cells. In this chapter we review four distinct theoretical and simulation frameworks: (i) non-spatial and deterministic, (ii) spatial and deterministic, (iii) non-spatial and stochastic and (iv) spatial and stochastic. Each framework can be suited to modelling and interpreting intracellular reaction kinetics. By estimating the fundamental length scales, one can roughly determine which models are best suited for the particular reaction pathway under study. We discuss differences in prediction between the four modelling methodologies. In particular we show that taking into account noise and space does not simply add quantitative predictive accuracy but may also lead to qualitatively different physiological predictions, unaccounted for by classical deterministic models.


2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Yuwei Zhang ◽  
Ping Song ◽  
Qiang Fu ◽  
Mingbo Ruan ◽  
Weilin Xu

2020 ◽  
Vol 132 (28) ◽  
pp. 11738-11743
Author(s):  
Haipeng B. Li ◽  
Behabitu E. Tebikachew ◽  
Cedrik Wiberg ◽  
Kasper Moth‐Poulsen ◽  
Joshua Hihath

2020 ◽  
Vol 59 (28) ◽  
pp. 11671-11671
Author(s):  
Haipeng B. Li ◽  
Behabitu E. Tebikachew ◽  
Cedrik Wiberg ◽  
Kasper Moth‐Poulsen ◽  
Joshua Hihath

Nano Letters ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 2939-2940 ◽  
Author(s):  
Ming Zhao ◽  
Peng Chen

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