Abstract
Discrete Phase Method (DPM) is coupled in this study with Computational Fluid Dynamics (CFD) to simulate motion of rod-shaped motile bacteria under flow conditions inside a microfluidic device where a micro scale chamber is connected to same scale inlet and outlet channels. Here, bacterial cells are represented by spherical solid particles with equivalent volume of a typical bacterial cell, and physio-chemical interactions between cells and solid surface are omitted. Bacterial suspension is assumed as a Newtonian fluid in a laminar flow. Particle injection mass flowrate was selected to emulate OD600 0.1 bacterial cell concentration and lowered up to 10% of initial concentration. Particle diffusion pattern was affected by the fluid velocity (within the range 0.05–0.005 m.s−1), but the pattern remined similar for particle mass flowrates varying from 8–80 × 10–9 kg.s−1. Particle mass concentration long the flow direction was varied with fluid velocity but not affected by the injection concentration. At 0.005 m.s−1 fluid velocity, maximum particle mass concentration varied with a linear relationship with particle injection mass flowrate, and the variation at 0.05 m.s−1 fluid velocity too showed a linear relationship with injection mass flowrate but with higher gradient. This is a new finding on P. aeruginosa cell motion and diffusion inside microchannels.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Salta, M., Capretto, L., Carugo, D., Wharton, J.A., Stokes, K.R.: Life under flow: a novel microfluidic device for the assessment of anti-biofilm technologies. Biomicrofluidics 7(6), 064118 (2013). https://doi.org/10.1063/1.4850796
Ponmozhi, J., Moreira, J.M.R., Mergulhão, F.J., Campos, J.B.L.M., Miranda, J.M.: Fabrication and hydrodynamic characterization of a microfluidic device for cell adhesion tests in polymeric surfaces. Micromachines 10(5), 303 (2019). https://doi.org/10.3390/mi10050303
Moreira, J.M.R., Araújo, J.D.P., Miranda, J.M., Simões, M., Melo, L.F., Mergulhão, F.J.: The effects of surface properties on Escherichia coli adhesion are modulated by shear stress. Colloids Surf. B Biointerfaces 123, 1–7 (2014). https://doi.org/10.1016/j.colsurfb.2014.08.016
Yao, W., Li, Y., Ding, G.: Interstitial fluid flow: the mechanical environment of cells and foundation of meridians. Evid.-Based Complement. Altern. Med. 2012, 1–9 (2012). https://doi.org/10.1155/2012/853516
Salek, M.M., Martinuzzi, R.J.: Numerical simulation of fluid flow and hydrodynamic analysis in commonly used biomedical devices in biofilm studies. In: Numerical Simulations - Examples and Applications in Computational Fluid Dynamics (2010). https://doi.org/10.5772/13117
Schlegel, C., et al.: Analyzing the influence of microstructured surfaces on the lactic acid production of Lactobacillus delbrueckii lactis in a flow-through cell system. Eng. Life Sci. 17(8), 865–873 (2017). https://doi.org/10.1002/elsc.201700045
Moreira, J.M.R., Ponmozhi, J., Campos, J.B.L.M., Miranda, J.M., Mergulhão, F.J.: Micro- and macro-flow systems to study Escherichia coli adhesion to biomedical materials. Chem. Eng. Sci. 126, 440–445 (2015). https://doi.org/10.1016/j.ces.2014.12.054
Westerwalbesloh, C., et al.: Modeling and CFD simulation of nutrient distribution in picoliter bioreactors for bacterial growth studies on single-cell level. Lab Chip 15(21), 4177–4186 (2015). https://doi.org/10.1039/c5lc00646e
Wiklund, K., Zhang, H., Stangner, T., Singh, B., Bullitt, E., Andersson, M.: A drag force interpolation model for capsule-shaped cells in fluid flows near a surface. Microbiology 164(4), 483–494 (2018). https://doi.org/10.1099/mic.0.000624
Jayathilake, P.G., Li, B., Zuliani, P., Curtis, T., Chen, J.: Modelling bacterial twitching in fluid flows: a CFD-DEM approach. Sci. Rep. 9(1), 2–5 (2019). https://doi.org/10.1038/s41598-019-51101-3
Sjollema, J., Busscher, H.J., Weerkamp, A.H.: Deposition of oral streptococci and polystyrene latices onto glass in a parallel plate flow cell. Biofouling 1(2), 101–112 (1988). https://doi.org/10.1080/08927018809378100
Kong, D., Lin, W., Pan, Y., Zhang, K.: Swimming motion of rod-shaped magnetotactic bacteria: the effects of shape and growing magnetic moment. Front. Microbiol. 5, 1–11 (2014). https://doi.org/10.3389/fmicb.2014.00008
Lyczak, J.B., Cannon, C.L., Pier, G.B.: Establishment of Pseudomonas aeruginosa infection: lessons from a versatile opportunist. Microbes Infect. 2(9), 1051–1060 (2000). https://doi.org/10.1016/S1286-4579(00)01259-4
Yang, A., Tang, W.S., Si, T., Tang, J.X.: Influence of physical effects on the swarming motility of Pseudomonas aeruginosa. Biophys. J. 112(7), 1462–1471 (2017). https://doi.org/10.1016/j.bpj.2017.02.019
Toutain, C.M., Zegans, M.E., O’Toole, G.A.: Evidence for two flagellar stators and their role in the motility of Pseudomonas aeruginosa. J. Bacteriol. 187(2), 771–777 (2005). https://doi.org/10.1128/JB.187.2.771-777.2005
Terashima, H., Kojima, S., Homma, M.: Chapter 2 flagellar motility in bacteria, vol. 270, pp. 39–85. Academic Press (2008). https://doi.org/10.1016/S1937-6448(08)01402-0
Vater, S.M., et al.: Swimming behavior of Pseudomonas aeruginosa studied by holographic 3D tracking. PLoS One 9(1) (2014). https://doi.org/10.1371/journal.pone.0087765
Greenberg, E.P., Canale-Parola, E.: Motility of flagellated bacteria in viscous environments. J. Bacteriol. 132(1), 356–358 (1977). https://doi.org/10.1128/jb.132.1.356-358.1977
Shigematsu, M., Meno, Y., Misumi, H., Amako, K.: The measurement of swimming velocity of vibrio cholerae and Pseudomonas aeruginosa using the video tracking method. Microbiol. Immunol. 39(10), 741–744 (1995). https://doi.org/10.1111/j.1348-0421.1995.tb03260.x
Dominick, C.N., Wu, X.L.: Rotating bacteria on solid surfaces without tethering. Biophys. J. 115(3), 588–594 (2018). https://doi.org/10.1016/j.bpj.2018.06.020
Lauga, E.: Bacterial hydrodynamics. Ann. Rev. Fluid Mech. 48(1), 105–130 (2016). https://doi.org/10.1146/annurev-fluid-122414-034606
Bratbak, G., Dundas, I.: Bacterial dry matter content and biomass estimations. Appl. Environ. Microbiol. 48(4), 755–757 (1984)
Average density - bacteria - BNID 102239 n.d. https://bionumbers.hms.harvard.edu/bionumber.aspx?id=102239. Accessed 6 Nov 2019
Loferer-Krößbacher, M., Klima, J., Psenner, R.: Determination of bacterial cell dry mass by transmission electron microscopy and densitometric image analysis. Appl. Environ. Microbiol. 64(2), 688–694 (1998). https://doi.org/10.1128/aem.64.2.688-694.1998
Hensley, Z.D., Papavassiliou, D.V.: Drag coefficient correction for spherical and nonspherical particles suspended in square microducts. Ind. Eng. Chem. Res. 53(25), 10465–10474 (2014). https://doi.org/10.1021/ie5007646
Kim, D.: Relation of microbial biomass to counting units for Pseudomonas aeruginosa. Afr. J. Microbiol. Res. 6(21), 4620–4622 (2012). https://doi.org/10.5897/ajmr10.902
Adamczyk, Z., Van De Ven, T.G.M.: Deposition of particles under external forces in laminar flow through parallel-plate and cylindrical channels. J. Colloid Interface Sci. 80(2), 340–356 (1981). https://doi.org/10.1016/0021-9797(81)90193-4
Midelet, J., El-Sagheer, A.H., Brown, T., Kanaras, A.G., Werts, M.H.V.: The sedimentation of colloidal nanoparticles in solution and its study using quantitative digital photography. Part. Part. Syst. Charact. 34(10) (2017). https://doi.org/10.1002/ppsc.201700095
Song, C., Li, H., Zhang, Y., Yu, J.: Effects of Pseudomonas aeruginosa and Streptococcus mitis mixed infection on TLR4-mediated immune response in acute pneumonia mouse model. BMC Microbiol. 17(1) (2017). Article number: 82. https://doi.org/10.1186/s12866-017-0999-1
Dennis, S.C.R., Singh, S.N., Ingham, D.B.: The steady flow due to a rotating sphere at low and moderate Reynolds numbers. J. Fluid Mech. 101(2), 257–279 (1980). https://doi.org/10.1017/S0022112080001656
Oesterlé, B., Bui Dinh, T.: Experiments on the lift of a spinning sphere in a range of intermediate Reynolds numbers. Exp. Fluids 25(1), 16–22 (1998). https://doi.org/10.1007/s003480050203
Ghanbari, A., Dehghany, J., Schwebs, T., Müsken, M., Häussler, S., Meyer-Hermann, M.: Inoculation density and nutrient level determine the formation of mushroom-shaped structures in Pseudomonas aeruginosa biofilms. Sci. Rep. 6, 1–12 (2016). https://doi.org/10.1038/srep32097
Li, J., Busscher, H.J., Norde, W., Sjollema, J.: Analysis of the contribution of sedimentation to bacterial mass transport in a parallel plate flow chamber. Colloids Surf. B Biointerfaces 84(1), 76–81 (2011). https://doi.org/10.1016/j.colsurfb.2010.12.018
Rijnaarts, H.H.M., Norde, W., Bouwer, E.J., Lyklema, J., Zehnder, A.J.B.: Bacterial adhesion under static and dynamic conditions. Appl. Environ. Microbiol. 59(10), 3255–3265 (1993)
Foster, T. Staphylococcus. In: Baron, S. (ed.) Medical Microbiology, 4th edn (1996)
Martínez-García, P.M., et al.: Complete genome sequence of Pseudomonas fluorescens strain PICF7, an indigenous root endophyte from olive (Olea europaea L.) and effective biocontrol agent against Verticillium dahliae. Stand. Genomic. Sci. 10, 1–7 (2015). https://doi.org/10.1186/1944-3277-10-10
Acknowledgements
Authors wishes to acknowledge support from, Institute of Health and Biomedical Innovation (IHBI), Faculty of Engineering, Queensland University of Technology (QUT), Australia, Advance Queensland Industry Research Fellowship, Konica Minolta and Bionics Queensland. The first author is a lecturer from University of Moratuwa, Sri Lanka, currently attached to QUT. Funding was received for this work from AHEAD project (Grant: AHEAD/PhD/R2/ENG/TECH/161), University Grants Commission of Sri Lanka.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Senevirathne, S.W.M.A.I., Hasan, J., Mathew, A., Woodruff, M., Yarlagadda, P.K.D.V. (2022). Simulation of Bacterial Motion Under Flow Inside Micro Channel Using CFD and DPM. In: Batako, A., Burduk, A., Karyono, K., Chen, X., Wyczółkowski, R. (eds) Advances in Manufacturing Processes, Intelligent Methods and Systems in Production Engineering. GCMM 2021. Lecture Notes in Networks and Systems, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-90532-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-90532-3_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90531-6
Online ISBN: 978-3-030-90532-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)