Abstract:

The data contain results of numerical solutions of coupled transport equations for motile bacteria and a chemical compound, which they are able to detect and migrate toward (via a process known as chemotaxis). The analysis was performed to investigate the accumulation of chemotactic bacteria (P. putida) in the aqueous phase near the interface of an oil phase contaminant (toluene) under shear flow. The data was obtained by implementation of numerical methods using two commercial software packages Mathematica and MATLAB. The solutions obtained from MATLAB provide data plotted in the Figure 2(c). All other graphs are plotted using the data generated from Mathematica. The output from the algorithms was scaled concentrations of bacteria and contaminant as a function of a scaled location variable (that includes position and fluid velocity) evaluated at steady state. The effect of three dimensionless groups of relevant biophysical parameters on the bacterial distributions were explored in a parametric analysis. Realistic parameter values obtained from previous experimental studies were used in the analysis. This dataset supports the publication: Shim, S., Stone, H. A., & Ford, R. M. (2019). Chemotaxis in shear flow: Similarity solutions of the steady‐state chemoattractant and bacterial distributions. AIChE Journal. doi:10.1002/aic.16713

Suggested Citation:

Suin Shim, Howard A. Stone and Roseanne M. Ford. 2019. Dataset for: Chemotaxis in shear flow: Similarity solutions of the steady‐state chemoattractant and bacterial distributions. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-fjdm-2335

Publications:

Shim, S., Stone, H. A., & Ford, R. M. (2019). Chemotaxis in shear flow: Similarity solutions of the steady‐state chemoattractant and bacterial distributions. AIChE Journal. doi:10.1002/aic.16713

Purpose:

The purpose of the data was to examine bacterial accumulation (in the aqueous phase) near a chemoattractant source (in the oil phase) under steady flow in a shear field.

Data Parameters and Units:

C_A: Scaled chemoattractant concentration C_A, unitless C'_A: Scaled chemoattractant concentration C_A gradient, unitless Eta: scaled distance, unitless C_B: Scaled bacterial concentration, unitless Alpha: a dimensionless group that compares the bacterial chemotactic sensitivity coefficient to the chemoattractant diffusivity, unitless Beta: a dimensionless group that compares the chemoattractant concentration at the source to the chemotactic receptor constant, unitless Delta: a dimensionless group that compares the diffusion coefficient for motile bacteria to the diffusion coefficient of the chemoattractant, unitless Eta_c: a critical distance (beyond which the bacterial concentration is unperturbed by chemotaxis), unitless Note: A readme.txt file has been included along with the dataset. It contains supplementary description of the parameters and the codes. The figure number used in the data file and readme file refers to the figures in the associated publication, Shim et al., 2019.

Individual Files: