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作 者:郑力升 王一鸣 李保庆[1,2] 褚家如[1,2] ZHENG Lisheng;WANG Yiming;LI Baoqing;CHU Jiaru(Department of Precision Machinery and Precision Instrumentation,University of Science and Technology of China,Hefei 230027,China;Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes,University of Science and Technology of China,Hefei 230027,China)
机构地区:[1]中国科学技术大学精密机械与精密仪器系,安徽合肥230027 [2]中国科学技术大学安徽省高等学校精密科学仪器重点实验室,安徽合肥230027
出 处:《传感器与微系统》2022年第5期152-156,共5页Transducer and Microsystem Technologies
基 金:中国科学院战略优先研究计划项目(XDC07040200);国家自然科学基金海外及港澳学者联合研究基金资助项目(51929501)。
摘 要:颗粒或细胞的检测与分选是许多生物医学研究中的重要内容。然而,当前的许多颗粒分选方式需要首先对目标对象进行标记,这增加了实验的复杂度,还有可能影响生物对象的活性。本文研究了微流控电阻抗检测技术,对聚苯乙烯小球的电阻抗信号进行实时检测,将峰值幅度作为选择标准识别目标颗粒,通过对系统运行过程中各类时间的合理计算准确预测颗粒在管道中所处的位置,并结合压电分选技术,成功实现了不同大小的颗粒的无标记分选。针对10μm与7μm的混合聚苯乙烯小球溶液的分选,10μm颗粒的分选纯度为94.9%,通量可达1.6 Hz。这种基于电阻抗检测的微流控分选技术,可用于细胞的无标记分选,在单细胞检测与单细胞组学研究中有着广阔的应用前景。The detection and sorting of particles or cells is an important part of many biomedical research.However,many current particle sorting methods require the target object to be labeled first,which increases the complexity of the experiment and may also affect the viability of biological objects.In this paper,the microfluidic electrical impedance detection technology is studied,the electrical impedance signal of the polystyrene beads is detected in real time,the peak amplitude is used as the selection criterion to identify the target particle,and the accurate prediction of the position of the particles in the microchannel is made through the reasonable calculation of various time during the operation of the system. Combined with piezoelectric sorting technology,successfully achieved label-free sorting of particles of different sizes.For the sorting of the mixed polystyrene beads solution of 10 μm and 7 μm,the sorting purity of 10 μm particles is 94.9 %,and the throughput can reach 1.6 Hz.This microfluidic sorting technology based on electrical impedance detection can be used for label free sorting of cells,and has broad application prospects in single cell detection and single cell omics research.
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