Optical fiber ball resonator biosensor as a platform for detection of diabetic retinopathy biomarkers in tears

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 vali...

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Bibliographic Details
Published in:IEEE sensors journal 2024-04, Vol.24 (7), p.1-1
Main Authors: Gomez, A.W., Myrkhiyeva, Z., Tilegen, M., Pham, T.T., Bekmurzayeva, A., Tosi, D.
Format: Article
Language:English
Subjects:
Biomarkers
Biosensors
Carbon dioxide
Carbon dioxide lasers
Diabetes
Diabetic retinopathy
Fiber optics
Fluids
In-tear detection
Internet of Things
IoT diagnostic platforms
Optical fiber ball resonator
Optical fiber biosensors
Optical fiber sensors
Optical fibers
Optical resonators
Proteins
Resonators
Sensors
Wearable biosensors
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Summary: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 CO 2 laser splicer, and biofunctionalized for the specific detection of the LCN1 (Lipocalin-1) 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 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.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2024.3363219