A generalized model for bacterial disinfection: Stochastic approach

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Publication Details

Author list: Argoti A, Maghirang RG, Barrios AFG, Chou ST, Fan LT
Publisher: Elsevier
Publication year: 2016
Volume number: 114
Start page: 221
End page: 228
Number of pages: 8
ISSN: 1369-703X
Languages: English-Great Britain (EN-GB)


This work proposes a novel, generalized model for bacterial disinfection formulated in light of a stochastic paradigm. The model's formulation is based on an intensity of transition that is proportional to the product of general power functions of the bacteria's number concentration and time; thus, the generalized stochastic model embodies the results obtained from our earlier models. The proposed model gives rise to linear and non-linear cases of the master equation whose solution can be obtained analytically as well as numerically via Monte Carlo simulation. Moreover, the generalized stochastic model has been validated with a specific instance of bacterial disinfection. The model's analytical and numerical results are in excellent accord among themselves as well as with those obtained from our earlier models; in addition, the model's results tend to describe the available experimental data reasonably well. (C) 2016 Elsevier B.V. All rights reserved.


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Last updated on 2019-23-08 at 11:15