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微型和集成化的生物传感器为细胞电生理研究提供了强有力的手段。在电极阵列制作工艺上对传感器芯片电极表面进行电镀铂黑处理,可以降低噪声,提高灵敏度。为了量化分析电极表面纳米铂黑粒子的处理效果,本文提出了一种基于Monte-Carlo方法的网格搜索算法,给出了运算优化策略,实现了理想贴附条件下快速模拟一个数量级内粒径分散度在20~200nm范围内均匀分布的纳米粒子贴附于电极上的过程。在电极半径为100μm的尺度下,试验次数n=10时的仿真处理时间从原方法的平均20h优化为0.5h,大大缩短了整个建模过程。应用本文方法进一步研究了在单/多层纳米粒子表面处理时,不同电极尺寸、形状对粒子贴附率和处理均一性的影响。仿真结果表明,理想实验条件下在电极半径小于100μm时,随着电极尺寸的增大,纳米粒子有效贴附率增大,均匀化程度升高,有利于电极阵列重复性的定量评估。在相同电极面积条件下,圆形电极的表面贴附率效果优于方形等形状的电极。
Micro and integrated biosensors provide a powerful tool for electrophysiological research in cells. Electroplating platinum on the electrode surface of the sensor chip on the electrode array fabrication process can reduce the noise and improve the sensitivity. In order to quantitatively analyze the effect of nano-Pt black particles on the surface of electrode, a grid search algorithm based on Monte-Carlo method is proposed in this paper. The algorithm of optimization is given and the particle size of one order of magnitude Dispersion in the 20 ~ 200nm range of uniform distribution of nanoparticles attached to the electrode on the process. At the electrode radius of 100μm, the simulation time of n = 10 is optimized to 0.5h from the average of 20h, which greatly shortens the whole modeling process. The effects of different electrode sizes and shapes on the particle attachment rate and the uniformity of the treatment were further studied by using this method. The simulation results show that under the ideal experimental conditions, with the electrode radius less than 100μm, with the increase of the electrode size, the effective attachment rate of the nanoparticles increases and the homogenization degree increases, which is in favor of the quantitative evaluation of electrode array repeatability. Under the condition of the same electrode area, the effect of the surface electrode attachment rate of the circular electrode is superior to that of the square electrode or the like.