Poster + Paper
30 September 2024 Optical sensor applications in advancing colorimetric molecular diagnostics
Author Affiliations +
Conference Poster
Abstract
Currently, there are various techniques for clinical diagnosis of infections. During the last pandemic caused by Sars-CoV-2, the importance and need for rapid, economical and accessible diagnostic systems became evident. Demonstrating that they are fundamental tools in the prevention and control of diseases. Thus, Point-of-Care (PoC) devices emerge as an alternative with the potential to improve access to the diagnosis of infectious diseases. These are devices that allow immediate diagnosis in low-complexity centers, reducing costs, streamlining the analysis, and, above all, considerably increasing the confidence intervals of the diagnoses. Many of the most used clinical diagnostic techniques base their determination on optical techniques, mostly colorimetric and fluorescent. These types of determinations are gaining wide attention as non-destructive tools, visible to the human eye, and capable of providing real-time and in-situ responses. The present work seeks to provide alternatives for better PoC diagnostic systems. We will focus on colorimetric determinations, widely used in nucleic acid amplification tests. However, they have the disadvantage of depending, in certain cases, on the subjectivity of the person analyzing the sample (visual diagnosis). Following this, a portable colorimetric device was developed, capable of objectively discretizing between positive and negative tests. Specifically, by performing spectral analysis of each sample and evaluating its absorbance in the visible spectrum.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Damián A. Presti, Lucas Marchesano, Jeffry Martinez Valdiviezo, Lucas Ripoll, Gustavo A. Torchia, and Marcos Bilen "Optical sensor applications in advancing colorimetric molecular diagnostics", Proc. SPIE 13126, Molecular and Nanophotonic Machines, Devices, and Applications VII, 1312609 (30 September 2024); https://doi.org/10.1117/12.3036147
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KEYWORDS
Diagnostics

Absorbance

Biological samples

Statistical analysis

Eye

Pathogens

Optical sensors

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