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https://dspace.iiti.ac.in/handle/123456789/15442
Title: | Smartphone-Based colorimetric protein sensor platform utilizing an ambient ring light setup for urinary protein detection |
Authors: | Sahare, Tileshwar Sahoo, Badri Narayana Rana, Simran Joshi, Abhijeet B. |
Keywords: | Color Grab;ImageJ;Proteinuria;RGB analysis;Smartphone application;Urine Dip sticks |
Issue Date: | 2025 |
Publisher: | Elsevier Inc. |
Citation: | Sahare, T., Sahoo, B. N., Rana, S., & Joshi, A. (2025). Smartphone-Based colorimetric protein sensor platform utilizing an ambient ring light setup for urinary protein detection. Microchemical Journal. Scopus. https://doi.org/10.1016/j.microc.2024.112527 |
Abstract: | Urine dipsticks are generally used to detect pathological changes in urine due to their low cost and easy operation, having protein parameter for diagnosis of proteinuria. Despite their advantages, results provided by the urine dipsticks generally are in a broad range. Here, we present a novel, cost-effective ambient ring light-based smartphone platform to accurately estimate urinary protein concentrations in narrower range utilizing protein sensors obtained from commercially available urine dip sticks (Mission® and Recombigen™). Protein sensors changed color from yellow to green with the increasing protein concentration, having a response time of 5 min. A smartphone was used to capture images. RGB profile was extracted with the help of open-source smartphone-android based Color Grab application and windows-based ImageJ software. RED color intensity was found to be inversely proportional to the increasing protein concentration. Limit of detection (LOD) was found to be 130 µg/ml and 377 µg/ml for Mission® and Recombigen™ dipstick protein sensors, respectively, when using the Color Grab app. For ImageJ, the LODs were 406 µg/ml and 228 µg/ml for Mission® and Recombigen™ dipstick protein sensors, respectively. This smartphone-based estimation of protein using dip sticks can add excellent value in the currently existing screening and diagnostics sector, especially for chronic kidney diseases. © 2024 Elsevier B.V. |
URI: | https://doi.org/10.1016/j.microc.2024.112527 https://dspace.iiti.ac.in/handle/123456789/15442 |
ISSN: | 0026-265X |
Type of Material: | Journal Article |
Appears in Collections: | Department of Biosciences and Biomedical Engineering |
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