Rapid simulation of electrode surface treatment based on Monte-Carlo model.
- Author:
Zhengtian HU
;
Ying XU
;
Miao GUO
;
Zhitong SUN
;
Yan LI
- Publication Type:Journal Article
- MeSH:
Algorithms;
Biosensing Techniques;
Electrodes;
Models, Theoretical;
Monte Carlo Method;
Nanoparticles;
Particle Size;
Platinum
- From:
Journal of Biomedical Engineering
2014;31(6):1361-1367
- CountryChina
- Language:Chinese
-
Abstract:
Micro- and integrated biosensor provides a powerful means for cell electrophysiology research. The technology of electroplating platinum black on the electrode can uprate signal-to-noise ratio and sensitivity of the sensor. For quantifying analysis of the processing method of electroplating process, this paper proposes a grid search algorithm based on the Monte-Carlo model. The paper also puts forward the operational optimization strategy, which can rapidly implement the process of large-scale nanoparticles with different particle size of dispersion (20-200 nm) attac- hing to the electrode and shortening a simulation time from average 20 hours to 0.5 hour when the test number is 10 and electrode radius is 100 microm. When the nanoparticle was in a single layer or multiple layers, the treatment uniformity and attachment rate was analyzed by using the grid search algorithm with different sizes and shapes of electrode. Simulation results showed that under ideal conditions, when the electrode radius is less than 100 /m, with the electrode size increasing, it has an obvious effect for the effective attachment and the homogeneity of nanoparticle, which is advantageous to the quantitative evaluation of electrode array's repeatability. Under the condition of the same electrode area, the best attachment is on the circular electrode compared to the attachments on the square and rectangular ones.
