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

Vernon, Jethro, Canyelles-Pericas, Pep, Torun, Hamdi, Dai, Xuewu, Ng, Wai Pang, Binns, Richard, Busawon, Krishna and Fu, Yongqing (Richard) (2021) Acousto-Pi: An Opto-Acoustofluidic System using Surface Acoustic Waves controlled with Open Source Electronics for Integrated In-Field Diagnostics. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. ISSN 0885-3010 (In Press)

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Acousto_Pi_An_Opto_Acoustofluidic_System_using_Surface_Acoustic_Waves_controlled_with_Open_Source_Electronics_for_Integrated_In_Field_Diagnostics.pdf - Accepted Version
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Official URL: https://doi.org/10.1109/tuffc.2021.3113173

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.

Item Type: Article
Additional Information: Funding information: This work was financially supported by the UK Engineering and Physical Sciences Research Council (EPSRC), grants EP/P018998/1, Network Plus in Digitalised Surface Manufacturing EP/S036180/1 and the Special Interests Group of Acoustofluidics under the UK Fluidic Network (EP/N032861/1).
Uncontrolled Keywords: Surface acoustic waves, integrated acoustofluidics, open-source electronics, feedback control, point-of-care diagnostics, fluorescence imagining, piezoelectric thin film
Subjects: F300 Physics
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 28 Sep 2021 08:38
Last Modified: 07 Oct 2021 15:30
URI: http://nrl.northumbria.ac.uk/id/eprint/47369

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