Optical Fiber Ball Resonator Biosensor as a Platform for Detection of Diabetic Retinopathy Biomarkers in Tears
Gomez A.W. Myrkhiyeva Z. Tilegen M. Pham T.T. Bekmurzayeva A. Tosi D.
1 April 2024Institute of Electrical and Electronics Engineers Inc.
IEEE Sensors Journal
2024#24Issue 711127 - 11135 pp.
Modern Internet-of-Things diagnostic approaches address a progressively expanding of the biomedical information that can be extracted from analytes, such as saliva, urine, sweat, or tears. In this work, a fiber-optic sensing system for detecting biomarkers in tears is proposed and experimentally validated. The system is based on a fiber-optic ball resonator, rapidly fabricated through a CO2 laser splicer, and biofunctionalized for the specific detection of the Lipocalin-1 (LCN1) protein. The sensor has a low detection limit (240 ag/mL) and a log-linear response, and it can detect LCN1 protein in a wide range of concentrations up to 10 ng/mL. A wearable eye-goggle device with a sensor built in that it can detect the dynamic protein change in artificial tears has been designed and proposed as an in situ detection system. The proposed fiber optic sensor is a highly effective sensing device for in-tear, IoT-oriented sensing platforms, with dynamic sensing features and a low cost per sensing unit, as LCN1 protein has been demonstrated to be a reliable biomarker for diabetic retinopathy (DR).
Diabetic retinopathy (DR) , in-tear detection , Internet-of-Things (IoT) diagnostic platforms , optical fiber ball resonator (OFBR) , optical fiber biosensors , wearable biosensors
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Laboratory of Biosensors and Bioinstruments, National Laboratory Astana, Astana, 010000, Kazakhstan
Nazarbayev University, School of Engineering and Digital Sciences, Astana, 010000, Kazakhstan
Nazarbayev University, School of Sciences and Humanities, Astana, 010000, Kazakhstan
Laboratory of Biosensors and Bioinstruments
Nazarbayev University
Nazarbayev University
10 лет помогаем публиковать статьи Международный издатель
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