Acousto-Pi: An Opto-Acoustofluidic System Using Surface Acoustic Waves Controlled With Open-Source Electronics for Integrated In-Field Diagnostics
Acousto-Pi: An Opto-Acoustofluidic System Using Surface Acoustic Waves Controlled With Open-Source Electronics for Integrated In-Field Diagnostics
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Acousto-Pi：一种光声流体系统，使用开源电子设备控制的表面声波进行集成现场诊断
DOI：
10.1109/tuffc.2021.3113173
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Y. Fu
中科院分区：
文献类型：
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作者：
Jethro Vernon;P. Canyelles;H. Torun;X. Dai;Wai Pang Ng;R. Binns;K. Busawon;Y. Fu
表面声波（SAW）器件由于其组合的声流体感测和致动特性而越来越多地应用于生命科学、生物学和即时护理应用中。尽管在这一领域取得了进展，但在接口硬件和控制策略方面仍然存在重大差距，以促进高性能和低成本的系统集成。在这项工作中，我们提出了一种通用的数字控制声流平台，通过演示生物测定的关键功能，例如使用带有图像识别的闭环反馈控制的液滴传输和混合。此外，我们通过使用标准相机和数字滤波器展示原位荧光传感功能来集成光学检测，从而绕过了对昂贵和复杂的光学设置的需求。Acousto-Pi设置基于开源Raspberry Pi硬件和3D打印外壳，SAW器件由金属基板上的压电薄膜制成。该平台能够控制样品处理（混合和稀释样品）的液滴位置和速度，以及基于声加热的温度控制，提供嵌入式处理能力。它可以远程操作，同时将测量结果记录在云数据库中，用于集成的现场诊断应用，如疾病爆发控制、大规模医疗筛查和食品安全。
Surface acoustic wave (SAW) devices are increasingly applied in life sciences, biology, and point-of-care applications due to their combined acoustofluidic sensing and actuating properties. Despite the advances in this field, there remain significant gaps in interfacing hardware and control strategies to facilitate system integration with high performance and low cost. In this work, we present a versatile and digitally controlled acoustofluidic platform by demonstrating key functions for biological assays such as droplet transportation and mixing using a closed-loop feedback control with image recognition. Moreover, we integrate optical detection by demonstrating in situ fluorescence sensing capabilities with a standard camera and digital filters, bypassing the need for expensive and complex optical setups. The Acousto-Pi setup is based on open-source Raspberry Pi hardware and 3-D printed housing, and the SAW devices are fabricated with piezoelectric thin films on a metallic substrate. The platform enables the control of droplet position and speed for sample processing (mixing and dilution of samples), as well as the control of temperature based on acousto-heating, offering embedded processing capability. It can be operated remotely while recording the measurements in cloud databases toward integrated in-field diagnostic applications such as disease outbreak control, mass healthcare screening, and food safety.