RSC Tokyo International Conference 2023
Point-of-care Molecular Diagnostics on Smartphone
Tae Seok SEO Department of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, South Korea
Biographical Sketch
Tae Seok Seo is a professor of Department of Chemical Engineering, Kyung Hee University, South Korea. He received his BS, MS, and PhD degree from Seoul National Univ. (South Korea), KAIST (South Korea), Columbia University (USA) and finished his post-doctoral fellowship at UC Berkeley. His current research interests are centered on microfluidic-based lab-on-a-chip, integrated biosensors, genomic technology, on-chip nanomaterial synthesis, and nanobiotechnology. He holds 133 papers, 50 patents, 8 technology transfers, and 17 awards.
Abstract
During the COVID-19 pandemic, smartphone-based point-of-care genetic testing (POCT) devices played a crucial role in detecting the virus quickly and on-site, aiding in the prevention and control of the pandemic. Smartphone, the most popular electronic device with various functions such as the operating system, power, camera, and data storage, exhibits the high potentials for the applications in a molecular diagnostic platform for ubiquitous healthcare monitoring. In this talk, I will present some examples of smartphone-based POC genetic testing devices developed in our laboratory over the past three years. Handheld μCE device on a smartphone: Micro-capillary electrophoresis ( μ CE) devices have been extensively investigated for end-point genetic analysis with high resolution in the fields of genetic sequencing and mutation determination. We have developed a handheld μCE device that could be operated by a smartphone. 1 The smartphone managed the relay for the power switch in addition to supplying power to two boost converters and an excited laser. The CMOS camera of the smartphone was used to detect the fluorescence signal of RT-PCR amplicons. A web-based app was also developed to display typical capillary electropherograms on the smartphone. In the proposed smartphone- associated μCE system, we could accurately analyze two genes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), namely N gene and S gene, along with two bracket ladders in 6 min. Quantitative analysis of a colorimetric LAMP reaction on a smartphone: Our group further established a novel mobile app to utilize the computing ability of the smartphone for color measurement, data analysis, and data storage. 2 During the LAMP reaction, the Eriochrome Black T (EBT) caused the color change of the reaction mixture from violet to blue, which was real-time captured by the smartphone camera. The hue value was used as an indicator for color transition and for determining the threshold time of the amplification reaction. A calibration curve could be generated by plotting the logarithm of the known concentration of the DNA templates versus the threshold time, and it can be used to predict the copy number of nucleic acids in the test samples. An integrated smartphone-based mini-genetic analyzer: An integrated smartphone- based portable mini-genetic analyzer was constructed for the detection of foodborne pathogens based on colorimetric loop-mediated isothermal amplification (LAMP). 3 The power of the smartphone was utilized for the LAMP reaction, and the camera functioned to image the
RSC Tokyo International Conference, Makuhari Messe, Chiba, Japan, September 7-8, 2023.
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