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MicroRNAs (miRNAs) are an emerging biotarget for clinical applications such as non-invasive detection of diseases such as cancer. However, current methods of miRNA quantification require tedious processing and amplification with highly trained specialists. Herein we show a simple and rapid colorimetric smartphone system that takes advantage of plasmonic nanoparticle-based assays to easily quantify miR-21 biomarker as a representative target for cancer disease detection. To achieve this, we use a unique assay known as Plasmonic Coupling Interference (PCI) to optically quantify the amount of biomarkers present. In addition, we utilize a specialized colorimetric processing method paired with accessible and cheap 3D printed parts to obviate the need for specialists to analyze and interpret the data. Our smart phone sensing system offers a practical miRNA diagnostic platform for the point-of-care applications as an alternative to more expensive lab-based methods.
Tushar Krishnan,Ren A. Odion,Hsin-Neng Wang, andTuan Vo-Dinh
"Colorimetric detection of microRNA biomarkers using plasmonic nanoplatforms on a smartphone (Conference Presentation)", Proc. SPIE PC12396, Plasmonics in Biology and Medicine XX, PC123960F (16 March 2023); https://doi.org/10.1117/12.2650585
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Tushar Krishnan, Ren A. Odion, Hsin-Neng Wang, Tuan Vo-Dinh, "Colorimetric detection of microRNA biomarkers using plasmonic nanoplatforms on a smartphone (Conference Presentation)," Proc. SPIE PC12396, Plasmonics in Biology and Medicine XX, PC123960F (16 March 2023); https://doi.org/10.1117/12.2650585