The Parameter Optimization And Drive Pump Analysis Of Physical Examination Platform Base On Biological Membrane Impedance And Electrochemical Analysis Technology

Currently, along with the intensive study in cellular electrophysiology, bio-membrane sensorhas been widely used in drug screening, food security and other fields. Among them, bio-membraneimpedance sensor plays an important role in detecting the physical activity information ofmonoplast and dell mass, and develops in a high-sensitivity, miniaturization and trace test way byintegrating with the technologies of electrochemistry, microelectronics and material science[1].Thephysiological environment changes inextricably bound to cellular activity, such as drugconcentration and toxic substances, are detected and analyzed by using electrochemical analyticalmethod.Originally from the background and status of bio-membrane impedance sensing andelectrochemical analysis technologies, this paper brings out the significance of the surface treatmentfor senor electrode array in the electrophysiological analysis and drug research, thus Monte-Carlomodel is adopted to analyze on the treatment results of electrodes in different shapes and sizes inthe quantized perspective; on the basis of these researches above, a biological physical detectingplatform is designed combined with bio-membrane impedance sensor and electrochemical analysistechnology, moreover, the comprehensive analysis involving in static field, dynamic field and fluidfield is made on the key component—driven pump by using finite element design method, the mainwork is as follows:In terms of electrode surface treatment research, there’s no obvious theoretical simulation teston the effectiveness of electrode surface treatment at the moment, also, it is impossible to judgewhether the coating particles on the surface of the electrode are well-distributed through the surfacetreatment and whether the attachment is valid, or to analyze the differences of attachment rates ofelectrode array in different sizes and shapes. The absence of these quantized data results in the lackof repeatability in electrophysiological experiments, which is a bottleneck of biosensor instantanalysis. Therefore, in order to have a direct and quantitative analyze on the treatment effect of theelectrode surface, this paper focuses on the research of the course of nano particles’ attachment toelectrode surface according to the theory of electroplating platinum black, poses a Monte-Carlomodel-based gridding search algorithm, provides an operation optimization strategy and realizes theprocess of instantly simulating nano particles well-distributed within an order of magnitude and20~200nm in particle size dispersion attach to the electrode under an ideal condition. The shortening of computer modeling time to0.05h at every turn from2h before optimizationaccelerates the whole process of modeling. The effect of different shape and size of electrodes onattachment rate and treatment homogeneity on the surface of single/multilayer nano particles isstudied in this way. The results show that, in the ideal experimental condition, the valid attachmentrate and homogeneity of nano particles increase along with the enlargement of electrode size, whichis conductive to quantitative evaluation of the electrode array repeatability. In a similar electrodearea, the attachment effectiveness of round electrode is better than square and other shape electrodes.The results lay an experimental foundation for the optimization of sensor electrode array, the latterelectrical characterization model of multilayer nano particles surface treatment and finiteelement-based electrode and charge distribution model, and improve the effectiveness andpertinence of multitasking surface treatment.The whole platform designed for impedance and electrochemical technology-based combineddetection platform is composed of micro-pump, bio-membrane impedance sensor detecting array,electrochemical multi-channel metabolism detecting array, electrochemical workstation andprocessor. In order to measure the effect of the target drug on the change of bio-membraneattachment, metabolic components and other physiological conditions accurately in real time, thecomprehensive analysis involving in static field, dynamic field and fluid field is made for the keydriven unit of the platform—micro-pump by using finite element method in this paper to ensure theprecision and controllability of the flux pumped in and out. The results demonstrate that, when inthe structural parameters designed and bearing20Hz40V driving voltage, the flux ofmicro-pump is52.864μL/min, which coincides with experimental accuracy demands, whilst theformula of flux, voltage and frequency is figured out to control the change of flux; on this basis,mechanical property analysis and optimal design are made for the passive valve of micro-pump,from which the optical size of valve arm，0.4mm×0.5mm, ensuring it has a larger deformationquantity and the capacity to take huge water pressure, is figured out; finally, the commercial PSS20micro-pump is targeted as a simulation object to have a replication experiment, the error rate ofsimulation flux to actual flow is6.7%, which proves the feasibility and accuracy of this analysismethod, also provides a good design reference for the production and improvement of micro-pumpand the establishment of multi-parameter portable detecting platform.