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Stochastic approach to chemical kinetics
Abstract
In this article we shall present a summary of the various stochastic approaches and applications to chemical reaction kinetics, but before discussing these we first briefly introduce the basic ideas and definitions of classical or deterministic chemical kinetics. One of the basic questions to which chemists address themselves is the rate of chemical reactions, or in other words, how long it takes for a chemical reaction to attain completion, or equilibrium. Apparently the first significant quantitative investigation was made in 1850 by L. Wilhelmy [93]. He studied the inversion of sucrose (cane sugar) in aqueous solutions of acids, whose reaction is He found empirically that the rate of decrease of concentration of sucrose was simply proportional to the concentration remaining unconverted, i.e., if S(t) is the concentration of sucrose, then The constant of proportionality is called the rate constant of the reaction. If S o is the initial concentration of sucrose, then Since then an enormous number of reactions has been studied and the field of chemical kinetics is now one of the largest areas of chemical research. The importance of the field lies in the fact that it yields concise expressions for the time dependence of reactions, predicts yields, optimum economic conditions, and gives one much insight into the actual molecular processes involved. The detailed molecular picture of a reaction process is called the mechanism of the reaction.
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Citations
Cites
Methods of Theoretical Physics
Morse, P. M., Feshbach, H., & Hill, E. L. (1954) · American Journal of Physics · doi:10.1119/1.1933765 · Cited by 13,197
The Theory of Stochastic Processes
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324
Cited by
Gillespie, D. T. (1976) · Journal of Computational Physics · doi:10.1016/0021-9991(76)90041-3 · Cited by 6,029
Reaction-rate theory: fifty years after Kramers
Hänggi, P., Talkner, P., & Borkovec, M. (1990) · Reviews of Modern Physics · doi:10.1103/revmodphys.62.251 · Cited by 6,154
Stochastic processes: Time evolution, symmetries and linear response
Hänggi, P., & Thomas, H. (1982) · Physics Reports · doi:10.1016/0370-1573(82)90045-x · Cited by 659
From the stochasticity of molecular processes to the variability of synaptic transmission
Ribrault, C., Sekimoto, K., & Triller, A. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3025 · Cited by 198
Buhse, T., Cruz, J.-M., Noble-Terán, M. E., Hochberg, D., Ribó, J. M., Crusats, J., & Micheau, J.-C. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00819 · Cited by 189
Roberts, E., Stone, J. E., & Luthey‐Schulten, Z. (2013) · Journal of Computational Chemistry · doi:10.1002/jcc.23130 · Cited by 117
Amplification of intrinsic fluctuations by chaotic dynamics in physical systems
Fox, R. F., & Keizer, J. (1991) · Physical Review A · doi:10.1103/physreva.43.1709 · Cited by 86
Dóka, É., & Lente, G. (2011) · Journal of the American Chemical Society · doi:10.1021/ja207408y · Cited by 60
Near-Critical Behavior of Aminoacyl-tRNA Pools in E. coli at Rate-Limiting Supply of Amino Acids
Elf, J., & Ehrenberg, M. (2005) · Biophysical Journal · doi:10.1529/biophysj.104.051383 · Cited by 46
Effects of cell-cycle-dependent expression on random fluctuations in protein levels
Soltani, M., & Singh, A. (2016) · Royal Society Open Science · doi:10.1098/rsos.160578 · Cited by 32
A New Approach to Kinetic Modeling of Biomass Hydrothermal Carbonization
Gallifuoco, A. (2019) · ACS Sustainable Chemistry & Engineering · doi:10.1021/acssuschemeng.9b02191 · Cited by 24
The RED scheme: Rate-constant estimation from pre-steady state weighted ensemble simulations
(2021) · doi:10.1063/5.0041278 · Cited by 20
An Overview of Network-Based and -Free Approaches for Stochastic Simulation of Biochemical Systems
Gupta, A., & Mendes, P. (2018) · Computation · doi:10.3390/computation6010009 · Cited by 17
Metadata
- Authors
- McQuarrie, D. A.
- Venue
- Journal of Applied Probability
- Publisher
- Cambridge University Press
- Published
- 1967-11-01
- Volume
- 4
- Issue
- 03
- Pages
- 413-478
- ISSN
- 0021-9002 (ISSN-L)
- OpenAlex
- W2078119846
- Cited by
- 917
- References
- 2
- FWCI
- 4.27
- Type
- journal article
- Language
- en
- Open access
- closed
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