典型文献
On-chip classification of micro-particles using laser light scattering and machine learning
文献摘要:
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 par-ticles 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 photo-sensors 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 photo-sensors measured the scattered light.The time-domain features were evaluated from the acquired scat-tered light,and then the SVM classifier was trained to distinguish the particle's data.The real-time de-tection 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/mL.The de-veloped system is anticipated to be helpful in developing rapid testing devices for detecting pathogens ranging between 2 μm to 10 μm.
文献关键词:
中图分类号:
作者姓名:
Mubashir Hussain;Xiaolong Liu;Jun Zou;Jian Yang;Zeeshan Ali;Hamood Ur Rehman;Nongyue He;Jianguo Dai;Yongjun Tang
作者机构:
Innovation Practice,Shenzhen Polytechnic,Shenzhen 518055,China;School of Materials and Chemical Engineering,Hunan Institute of Engineering,Xiangtan 411104,China;Department of Electrical Engineering,College of EME,National University of Sciences and Technology,H-12 Islamabad,Pakistan;State Key Laboratory of Bioelectronics,School of Biological Science and Medical Engineering,Southeast University,Nanjing 210096,China
文献出处:
引用格式:
[1]Mubashir Hussain;Xiaolong Liu;Jun Zou;Jian Yang;Zeeshan Ali;Hamood Ur Rehman;Nongyue He;Jianguo Dai;Yongjun Tang-.On-chip classification of micro-particles using laser light scattering and machine learning)[J].中国化学快报(英文版),2022(04):1885-1888
A类:
photosensors
B类:
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AB值:
0.493666
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