A generalized model for bacterial disinfection: Stochastic approach

作者：Argoti Andres^*; Maghirang Ronaldo G; Gonzalez Barrios Andres Fernando; Chou Song Tien; Fan L T

来源：Biochemical Engineering Journal, 2016, 114: 221-228.

DOI：10.1016/j.bej.2016.06.024

• Bacteria
• Disinfection
• Dynamic modelling
• Dynamic simulation
• Kinetic parameters
• Modelling

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.

• 出版日期2016-10-15