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A generalized model for bacterial disinfection: Stochastic approach

Paper ID Volume ID Publish Year Pages File Format Full-Text
2692 126 2016 8 PDF Available
Title
A generalized model for bacterial disinfection: Stochastic approach
Abstract

•A novel stochastic model for bacterial disinfection is proposed.•The stochastic model is based on a generalized rate expression.•The model spawns linear and non-linear cases of the process’ governing equation.•The generalized stochastic model tends to exhibit superior predictive capability.

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.

Keywords
Bacteria; Disinfection; Dynamic modelling; Dynamic simulation; Kinetic parameters; Modelling
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 114, 15 October 2016, Pages 218–225
Authors
, , , , ,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
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