Rapid and comprehensive detection of viral antibodies and nucleic acids via an acoustofluidic integrated molecular diagnostics chip: AIMDx

Abstract

<jats:p>Precise and rapid disease detection is critical for controlling infectious diseases like COVID-19. Current technologies struggle to simultaneously identify viral RNAs and host immune antibodies due to limited integration of sample preparation and detection. Here, we present acoustofluidic integrated molecular diagnostics (AIMDx) on a chip, a platform enabling high-speed, sensitive detection of viral immunoglobulins [immunoglobulin A (IgA), IgG, and IgM] and nucleic acids. AIMDx uses acoustic vortexes and Gor’kov potential wells at a 1/10,000 subwavelength scale for concurrent isolation of viruses and antibodies while excluding cells, bacteria, and large (>200 nanometers) vesicles from saliva samples. The chip facilitates on-chip viral RNA enrichment, lysis in 2 minutes, and detection via transcription loop–mediated isothermal amplification, alongside electrochemical sensing of antibodies, including mucin-masked IgA. AIMDx achieved nearly 100% recovery of viruses and antibodies, a 32-fold RNA detection improvement, and an immunity marker sensitivity of 15.6 picograms per milliliter. This breakthrough provides a transformative tool for multiplex diagnostics, enhancing early infectious disease detection.</jats:p>

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Published Version (Please cite this version)

10.1126/sciadv.adt5464

Publication Info

Qian, Jiao, Jianping Xia, Samantha Chiang, Jessica F Liu, Ke Li, Feng Li, Fang Wei, Mohammad Aziz, et al. (2025). Rapid and comprehensive detection of viral antibodies and nucleic acids via an acoustofluidic integrated molecular diagnostics chip: AIMDx. Science Advances, 11(3). 10.1126/sciadv.adt5464 Retrieved from https://hdl.handle.net/10161/32011.

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Scholars@Duke

Xia

Jianping Xia

Student

Research Interest: Acoustics, acoustic separation, Nano bioparticles manipulation, Exosome

Morizio

James Morizio

Adjunct Professor in the Department of Electrical and Computer Engineering

Over the last three decades Dr. Morizio's research has been focused on exploring new analog CMOS microelectronics and systems for cross discipline research areas. One objective of his research is to provide disruptive sensor interface technology in niche applications areas to significantly improve system performance and capabilities beyond their current level of technology integration. These current research areas include wireless neural interface systems for closed loop in vivo electrophysiology instrumentation and highly efficient broadband transducer drivers for scalable ultrasonic microfluidic interfaces. 

Dr. Morizio also has 35 years experience at Duke University teaching analog and digital VLSI circuit design courses and is the co-inventor of 8 issued patents.


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