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Real time acoustic sensing of flowing microdroplets in a microfluidic device

机译:实时声学感应微流体设备中流动的微滴

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Automated and rapid sample preparations have been considered as key components in developing micro total analysis systems (μTAS), for onsite monitoring and diagnosis of various pathogens. Fluorescence-activated cell sorting (FACS), in particular, has allowed fast screening of phenotypically different cells by scanning laser beams, but its implementation is rather complicated and costly. This paper presents recent results obtained on rapid acoustic sensing of flowing microdroplets in a PDMS microfluidic device. A 30 MHz lithium niobate single element transducer was built for the test. The transducer was positioned outside the channel, perpendicularly aiming at the channel wall. The echoes from moving droplets of 50 and 100 µm in diameter were measured, and their IB coefficients were calculated at the same time. The results show that those droplets can be readily identified by their echo amplitudes and IB values. The results showed that this sensing technique using a highly focused ultrasonic transducer was able to remotely identify flowing microdroplets in microfluidic channels, based on their echo signals and IB coefficients. Hence this acoustic approach may be used to develop much simpler devices than FACS systems and serve as a core element in μTAS.
机译:自动化和快速的样品前处理已被视为开发微型总分析系统(μTAS)的关键组件,用于现场监测和诊断各种病原体。尤其是荧光激活细胞分选术(FACS),允许通过扫描激光束快速筛选表型不同的细胞,但其实施相当复杂且昂贵。本文介绍了在PDMS微流体设备中流动的微滴的快速声学感测上获得的最新结果。测试中使用了一个30 MHz铌酸锂单元素换能器。换能器位于通道外部,垂直对准通道壁。测量了直径为50和100μm的运动液滴的回波,并同时计算了它们的IB系数。结果表明,这些液滴可以通过其回波幅度和IB值轻松识别。结果表明,这种使用高度聚焦的超声换能器的传感技术能够根据回声信号和IB系数远程识别微流体通道中的流动微滴。因此,这种声学方法可用于开发比FACS系统简单得多的设备,并充当μTAS的核心要素。

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