Li Yiqing, Wu Junwu, Fu Leijie, Wang Jinju
School of Mechatronic Engineering, Xi'an Technological University, Xi'an 710021, China.
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Micromachines (Basel). 2021 Nov 15;12(11):1402. doi: 10.3390/mi12111402.
In the process of biological microfluidic manipulation, the bubbles generated in the tube will seriously reduce the gauging accuracy. This paper introduces an improving method that can estimate the size of microbubbles in real time. Hence, the measurement data of the liquid volume can be modified according to this method. A microbubble detector based on the pulsed-ultrasound method was studied, including the device structure and the working principle. The assessment formula of the microbubbles in the tube was derived from the simulation results, which adopted the two-phase theory. The digital image processing method was applied to fulfill the microbubble calibration. This detection method was applied to measure the microbubbles in the tube and to modify the flow volume in a timely manner. The results of the experiments showed that this method is effective at improving the microflow gauging accuracy.
在生物微流体操控过程中,管道中产生的气泡会严重降低测量精度。本文介绍了一种可实时估计微气泡大小的改进方法。因此,可根据该方法修正液体体积的测量数据。研究了一种基于脉冲超声法的微气泡探测器,包括其装置结构和工作原理。采用两相理论,从模拟结果中推导了管道中微气泡的评估公式。应用数字图像处理方法实现微气泡校准。将该检测方法应用于测量管道中的微气泡并及时修正流量。实验结果表明,该方法在提高微流测量精度方面是有效的。