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由于毛细管电泳芯片电容耦合非接触微电导检测器具有电极不接触溶液,不存在电极的钝化和玷污,不受电泳分离电压影响等优点,被认为是生化分析领域最具发展潜力的一种技术。根据四电极电容耦合非接触电导检测器检测特点,采用小波消噪方法对信号进行滤波处理;依据芯片检测池内仅背景缓冲液与加入待测物质后所呈现的电导率不同致使信号电压会突变的特性,采用小波奇异性检测确定信号变化发生和恢复时刻,从而实现毛细管电泳芯片系统的微电导检测。仿真结果表明,利用小波分析方法能有效地消除噪声,能有效地检测到微电导的波动,并能精确地确定电导率溶液波动的发生、恢复时刻。
Capillary electrophoresis chip capacitively coupled non-contact micro-conductivity detector with electrodes do not touch the solution, there is no electrode passivation and contamination, from electrophoretic separation voltage and other advantages, is considered to be the biochemical analysis of the most promising technology . According to the detection characteristics of the four-electrode capacitively-coupled non-contact conductivity detector, the signal is filtered by the wavelet denoising method. The signal voltage will change abruptly depending on the conductivity presented by the background buffer in the chip detection pool and the substance to be tested Characteristics, using wavelet singularity detection to determine the occurrence of signal changes and recovery time, in order to achieve capillary electrophoresis chip micro-conductivity detection system. The simulation results show that the wavelet analysis method can effectively eliminate the noise, can effectively detect the fluctuations of the micro-conductance, and accurately determine the occurrence and recovery time of the conductivity solution.