4.7 Article

An IoT-based smart optical platform for colorimetric analyzing multiple samples of biomarkers

Journal

SENSORS AND ACTUATORS A-PHYSICAL
Volume 353, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.sna.2023.114228

Keywords

Optical measurement; Hematocrit; beta-hCG; COVID-19; Point -of -care testing (POCT); Internet of things (IoT)

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We have developed a highly efficient colorimetric analyzer for disposable rapid diagnostic test kits. By using an external camera module connected to an IoT-enabled single-board mini-computer, we can capture color images of the test chip and analyze them using an image processing algorithm. With the incorporation of a unique light-diffusing model and optimized lighting conditions, we successfully applied this platform for the detection of blood hematocrit, ss-hCG, and SARS-CoV-2 antigen.
highly efficient colorimetric analyzer for disposable rapid diagnostic test kits. We have taken color images of the test chip using an external camera module connected to an IoT-enabled single-board mini-computer, which are then analyzed using an image processing algorithm. To prevent image burning and to reduce the impact of ambient lighting, we have proposed a unique light-diffusing model and have maintained a strategic distance within the white acrylic imaging enclosure of the platform. In order to ensure even and uniform distribution of light on the sample within the platform, we have carried out a study with the incorporation of a highly bright single LED, an LED array, and attaching a PDMS-made light diffuser on the LED array at varying light incident angles on blood hematocrit containing custom-made single-channel test kits. Finally, based on the optimized lighting conditions, we have successfully applied the proposed platform for the detection of blood hematocrit, ss-hCG, and SARS-CoV-2 antigen, and were able to identify their different levels of concentration. Since the device is portable in size and cost-effective to implement, it can also be used for analyzing other biomarkers in resourcelimited communities for point-of-care (POC) applications.

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