Acousto-Pi: An Opto-Acoustofluidic System using Surface Acoustic Waves controlled with Open Source Electronics for Integrated In-Field Diagnostics

Jethro Vernon, Pep Canyelles-Pericas*, Hamdi Torun, Xuewu Dai, Wai Pang Ng, Richard Binns, Krishna Busawon, Yongqing Fu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Surface acoustic wave (SAW) devices are increasingly applied in life science, 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 3D printed housing, and the SAW devices are fabricated with piezoelectric thin film 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 towards integrated in-field diagnostic applications such as disease outbreak control, mass healthcare screening and food safety.
Original languageEnglish
Number of pages12
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Early online date15 Sep 2021
DOIs
Publication statusE-pub ahead of print - 15 Sep 2021

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