Effect of quantity and configuration of attached bacteria on bacterial propulsion of microbeads

Behkam, Bahareh; Sitti, Metin

doi:10.1063/1.3040318

Cited by 142 publications

(120 citation statements)

References 11 publications

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“…If the attachment density becomes significantly nonuniform, we expect to see a change in the average net resultant force and consequently observe a change in overall speed and displacement to distance ratio. In a prior work, the effect of bacteria attachment site on overall speed in an isotropic (nonchemotactic) environment was investigated [16].…”

Section: Effect Of Bacteria Attachment Density On Microbead Motionmentioning

confidence: 99%

Computational and experimental study of chemotaxis of an ensemble of bacteria attached to a microbead

2011

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Micro-objects propelled by whole cell actuators, such as flagellated bacteria, are being increasingly studied and considered for a wide variety of applications. In this work we present theoretical and experimental investigations of chemotactic motility of a 10 μm diameter microbead propelled by an ensemble of attached flagellated bacteria. The stochastic model presented here encompasses the behavior of each individual bacterium attached to the microbead in a spatiotemporally varying chemoattractant field. The computational model shows that in a chemotactic environment, the ensemble of bacteria, although constrained, propel the bead in a chemotactic manner with a 67% enhancement in displacement to distance ratio (defined as directionality) compared to nonchemotactic propulsion. The simulation results are validated experimentally. Close agreement between theory and experiments demonstrates the possibility of using the presented model as a predictive tool for other similar biohybrid systems.

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Section: Effect Of Bacteria Attachment Density On Microbead Motionmentioning

confidence: 99%

Computational and experimental study of chemotaxis of an ensemble of bacteria attached to a microbead

2011

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“…For instance, microrotary motors actuated by gliding bacteria were designed, the motions of which were restricted by a circular topology with a width of 2 μm (Hiratsuka et al 2006). Then a rod-shaped prokaryotic bacterium was used to drive a single elongated zeolite L crystal (Barroso et al 2015), and random motions of bacteria have been used to drive microbeads (Behkam and Sitti 2008;Fernandes et al 2011;Cho et al 2012;Park et al 2015), microcubes (Park et al 2010), and liposome (Kojima et al 2013;Nguyen et al 2016). But motions of these biological cells and microstructures actuated by them could not be precisely controlled.…”

Section: Introductionmentioning

confidence: 99%

Controlled regular locomotion of algae cell microrobots

Xie

Jiao

Tung

et al. 2016

Biomed Microdevices

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Algae cells can be considered as microrobots from the perspective of engineering. These organisms not only have a strong reproductive ability but can also sense the environment, harvest energy from the surroundings, and swim very efficiently, accommodating all these functions in a body of size on the order of dozens of micrometers. An interesting topic with respect to random swimming motions of algae cells in a liquid is how to precisely control them as microrobots such that they swim according to manually set routes. This study developed an ingenious method to steer swimming cells based on the phototaxis. The method used a varying light signal to direct the motion of the cells. The swimming trajectory, speed, and force of algae cells were analyzed in detail. Then the algae cell could be controlled to swim back and forth, and traverse a crossroad as a microrobot obeying specific traffic rules. Furthermore, their motions along arbitrarily set trajectories such as zigzag, and triangle were realized successfully under optical control. Robotize algae cells can be used to precisely transport and deliver cargo such as drug particles in microfluidic chip for biomedical treatment and pharmacodynamic analysis. The study findings are expected to bring significant breakthrough in biological drives and new biomedical applications.

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“…21,[29][30][31] Keller-Segel's equation is widely used for bacterial chemotaxis. 32 During a short time that can ignore the birth and death of bacteria, they derived a bacterial flux from transport theory as follows:…”

Section: DLmentioning

confidence: 99%

“…Therefore, it has been used for bacteriobot motility analysis with or without a single-cell based approach. 16,21,22 However, this method cannot create a bacteriobot chemotactic steering model in suspended bacterial media; an additional term is required to express external steering.…”

Section: Introductionmentioning

confidence: 99%

Modeling of chemotactic steering of bacteria-based microrobot using a population-scale approach

et al. 2015

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The bacteria-based microrobot (Bacteriobot) is one of the most effective vehicles for drug delivery systems. The bacteriobot consists of a microbead containing therapeutic drugs and bacteria as a sensor and an actuator that can target and guide the bacteriobot to its destination. Many researchers are developing bacteria-based microrobots and establishing the model. In spite of these efforts, a motility model for bacteriobots steered by chemotaxis remains elusive. Because bacterial movement is random and should be described using a stochastic model, bacterial response to the chemo-attractant is difficult to anticipate. In this research, we used a population-scale approach to overcome the main obstacle to the stochastic motion of single bacterium. Also known as Keller-Segel's equation in chemotaxis research, the population-scale approach is not new. It is a well-designed model derived from transport theory and adaptable to any chemotaxis experiment. In addition, we have considered the self-propelled Brownian motion of the bacteriobot in order to represent its stochastic properties. From this perspective, we have proposed a new numerical modelling method combining chemotaxis and Brownian motion to create a bacteriobot model steered by chemotaxis. To obtain modeling parameters, we executed motility analyses of microbeads and bacteriobots without chemotactic steering as well as chemotactic steering analysis of the bacteriobots. The resulting proposed model shows sound agreement with experimental data with a confidence level <0.01. V C 2015 AIP Publishing LLC. [http://dx

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Effect of quantity and configuration of attached bacteria on bacterial propulsion of microbeads

Cited by 142 publications

References 11 publications

Computational and experimental study of chemotaxis of an ensemble of bacteria attached to a microbead

Computational and experimental study of chemotaxis of an ensemble of bacteria attached to a microbead

Controlled regular locomotion of algae cell microrobots

Modeling of chemotactic steering of bacteria-based microrobot using a population-scale approach

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