On-chip classification of micro-particles using laser light scattering and machine learning  

作　　者：Mubashir Hussain Xiaolong Liu Jun Zou Jian Yang Zeeshan Ali Hamood Ur Rehman Nongyue He Jianguo Dai Yongjun Tang 

机构地区：[1]Innovation Practice,Shenzhen Polytechnic,Shenzhen 518055,China [2]School of Materials and Chemical Engineering,Hunan Institute of Engineering,Xiangtan 411104,China [3]Department of Electrical Engineering,College of EME,National University of Sciences and Technology,H-12 Islamabad,Pakistan [4]State Key Laboratory of Bioelectronics,School of Biological Science and Medical Engineering,Southeast University,Nanjing 210096,China

出　　处：《Chinese Chemical Letters》2022年第4期1885-1888,共4页中国化学快报（英文版）

基　　金：supported by the Natural Science Youth Foundation of China (No. 61801307);the Scientific ResearchFund of the Shenzhen International Cooperation Projects (No.GJHZ20190819151403615)。

摘　　要：The rapid detection of microparticles exhibits a broad range of applications in the field of science and technology. The proposed method differentiates and identifies the 2 μm and 5 μm sized particles using a laser light scattering. The detection method is based on measuring forward light scattering from the particles and then classifying the acquired data using support vector machines. The device is composed of a microfluidic chip linked with photosensors and a laser device using optical fiber. Connecting the photosensors and laser device using optical fibers makes the device more diminutive in size and portable. The prepared sample containing microspheres was passed through the channel, and the surrounding photosensors measured the scattered light. The time-domain features were evaluated from the acquired scattered light, and then the SVM classifier was trained to distinguish the particle’s data. The real-time detection of the particles was performed with an overall classification accuracy of 96.06%. The optimum conditions were evaluated to detect the particles with a minimum concentration of 0.2 μg/m L. The developed system is anticipated to be helpful in developing rapid testing devices for detecting pathogens ranging between 2 μm to 10 μm.

关 键 词：Particle’s detection Laser light scattering Waveform features Support vector machines LAB-ON-CHIP 

分 类 号：TN249[电子电信—物理电子学] TP181[自动化与计算机技术—控制理论与控制工程]