用于生物检测和诊断的共振声学剖面

W. Chiu, C. J. Hammond, R. Hammond, L. Harding, E. Hawkins, X. Li, S. Moore, K. Sanders, A. Sleptsov, C. Zhou, M. Cooper
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引用次数: 3

摘要

我们采用体声波和表面声波装置对复杂液体介质中的生物制剂进行了灵敏和特异的检测。我们已经生产了一个机器人液体输送系统,该系统与多层微流体歧管耦合,以受控的方式将液体输送到dasiaUSBpsila型对接站中的一对共振声学传感器上。这些谐振器被制作在单一的压电材料晶片上,并且在有源区域之间采用快速切换过程来消除串扰和干扰。采用专有的基于fpga的网络分析仪,内置数字合成器、射频开关和校准元件,增强了系统性能。在信号发送到传感器接口之前,将信号路径的阻抗传递到与传感器接口阻抗匹配的位置。传感器表面涂有专有的平面化学物质和聚合物界面,优化了生物相容性、剪切模量和穿透深度,最大限度地提高了与传感器结合信号的声学耦合。开发了一种优化的弹性体安装,以尽量减少热应力和运动应力对压电材料的影响,同时在传感器上方提供亚微升的微流体死体积。在这里,我们展示了该系统的实用性,使用了分子量范围两端的分析物:与蛋白质受体结合的小分子量候选药物和与抗体结合的高分子量细菌。
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Resonant acoustic profiling for biological detection and diagnostics
We have employed bulk acoustic wave and surface acoustic wave devices for the sensitive and specific detection of biological agents in complex liquid media. We have produced a robotic liquid delivery system coupled to a multi-layer microfluidic manifold that delivers liquids in a controlled manner to pairs of resonant acoustic sensors in a dasiaUSBpsila type docking station. These resonators were fabricated on a single wafer of piezoelectric material, and a rapid switching process between active areas employed to eliminate cross talk and interference. System performance was enhanced using a proprietary FPGA-based network analyzer with internal digital synthesizer, RF switches and calibration elements. Before the signal was sent to the sensor interface, the impedance of the signal path was transferred to match the sensor interface impedance. The sensors are coated with proprietary planar surface chemistries and polymeric interfaces optimised for biological compatibility, shear modulus and penetration depth to maximise acoustic coupling of a binding signal to the sensor. An optimised elastomeric mounting was developed to minimise the impact of thermal and motional stress on the piezoelectric material, whilst simultaneously providing a sub-microlitre microfluidic dead volume above the sensor. Herein we demonstrate the utility of the system using analytes at each end of the molecular weight range: small molecular weight drug candidates binding to a protein receptor and high molecular weight bacteria binding to an antibody.
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