Study On Chemotaxis Dynamic Of Self-propelled Artificial Motor

The biomolecule motor can be mechanically motivated by the energy released by the hydrolysis,which is available in the living body.In view of the important functions of these bio-motors,the scientists are committed to experimentally synthesizing or fabricating artificial micro-nanomotors capable of performing specific tasks.In recent years,motors of various shapes have been prepared that draw energy from the environment and produce the required driving force for movement.Nano-motor on the environment of the "nutrient" gradient chemotaxis phenomenon,is the nanomotor motion control of a scientific significance and potential applications of the research topic.There are two ways to study the chemotaxis of the motor: laboratory and computer simulation.Computer simulation is not subject to high demand of experimental equipment and experimental conditions,the advantages of a cost-effective and efficient research methods.More importantly,it can explore the physical quantity that is difficult to be observed in experiment,and more convenient calculation of the correlation between the physical,resulting in the general theory of law.Multi-particle collision dynamics(MPC)is a mesoscopic simulation method,which can be used in the numerical simulation of the motor to help us to better study the dynamics of the motor.The MPC regards the solution as a large number of particles,and makes the particles coarse-grained.Compared with other mesoscopic simulation methods,MPC is suitable for the following cases:(1)thermal fluctuations and hydrodynamics have a significant impact on the situation;(2)the system that Reynolds number and Peclet number on the order of 0.1-10;(3)the transport coefficient has a strict analytical solution;(4)Unclear complex system.Therefore,we use the MPC method to build a model to study motor motion properties.Synthetic chemically powered nanomotors possessing the ability of chemotaxis are desirable for target cargo delivery and self-assembly.The chemotactic properties of a sphere dimer motor,composed of linked catalytic and inactive monomers,are studied in a gradient field of fuel.Particle-based simulation is carried out by means of hybrid molecular dynamics/multiparticle collision dynamics.The detailed tracking and motion analysis describing the running and tumbling of the sphere dimer motor in the process of chemotaxis are investigated.Physical factors affecting chemotactic velocity are discussed,and quantitative relations are presented.The influence of the geometry of sphere dimer motors on the chemotactic dynamics is explored,which is beneficial for the design of motors with high sensitivity for detecting the surrounding environment.