RSC Tokyo International Conference 2023

RSC Tokyo International Conference 2023

Smartphone Technologies for Point-of-Care Diagnostics

Portrait photo

Ali K. YETISEN Department of Chemical Engineering, South Kensington, Imperial College London, London, UK

Biographical Sketch

Dr Yetisen is a Senior Lecturer and Associate Professor in the Department of Chemical Engineering at Imperial College London. He holds a PhD degree in Chemical Engineering (Biotechnology) from the University of Cambridge. He has worked as a Tosteson Fellow at Harvard University and Massachusetts General Hospital. Dr Yetisen has been awarded several international prizes including IChemE Nicklin Medal, Birmingham Fellowship, and Alexander von Humboldt Fellowship. He is a Fellow of the Royal Society of Chemistry, Institute of Physics, Institution of Chemical Engineers, and Institution of Engineering and Technology. Dr Yetisen has been the driving force for the establishment of eight startup companies.

Abstract

Smartphones are ubiquitous digital devices utilized in telecommunication technologies. 1 In addition to their advancing computing capabilities, they offer 5G connectivity to transmit real-time data. Their sensing capabilities including CMOS, LiDAR, accelerometer, gyroscope, magnetometer, and microphone have been exploited for healthcare applications to reveal diagnostic data. Particularly, imaging methods have been adapted for spectroscopy applications in the quantification of in vitro diagnostic assays at point-of-care settings. 2-4 In this talk, recent advances in the development of smartphone-based readout systems for point-of-care

Figure(s)

Figure 1. A smartphone camera allows for analyzing the fluorescent images from an optical readout box.

diagnostic technologies will be presented. Furthermore, the commercialization of smartphone- based readers will be highlighted, and startup companies will be showcased. The longevity of the connected diagnostic readers will be elucidated in combination with wearables, body area networks and emerging AI platforms that aim to enhance, enrich and accelerate data analysis. Future directions of next-generation diagnostic readout systems will be highlighted.

References

1. B. Ozdalgic, A.K. Yetisen, S. Tasoglu, Smartphone and Wearable Diagnostics, Expert Rev. Mol. Diagn. , 23, 357-359 (2023). 2. Y. Shi, Y. Zhang, Y. Hu, N. Jiang, R. Moreddu, M.F. Cordeiro, A.K. Yetisen, Smartphone-Based Portable Fluorescent Platforms for Tear Lactoferrin Sensing, Sens. Actuators B: Chem ., 378, 133128 (2023) 3. S. Balbach, R. Moreddu, N. Jiang, X. Dong, W. Kurz, C. Wang, J. Dong, Y. Yin, H. Butt, M. Brischwein, O. Hayden, M. Jakobi, S. Tasoglu, A.W. Koch, A.K. Yetisen, Smartphone-Based Colorimetric Detection System for Portable Health Tracking, Anal. Methods , 13, 4361 (2021) 4. A.K. Yetisen, J.L. Martinez-Hurtado, F.C. Vasconcellos, M.C.E. Simsekler, M.S. Akram, Lowe C.R., The Regulation of Mobile Medical Applications, Lab Chip , 14, 833-840 (2014)

RSC Tokyo International Conference, Makuhari Messe, Chiba, Japan, September 7-8, 2023.

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