Development of an Optical Fiber Biosensor for the Detection of Vascular Endothelial Growth Factor (VEGF) for Synovial Fluid Application

Loading...
Thumbnail Image

Files

Access status: Embargo until 2027-05-14 , Primary Abdullateef_Gbolahan_Olayiwola_Thesis.docx (3.62 MB)

Journal Title

Journal ISSN

Volume Title

Publisher

Nazarbayev University School of Engineering and Digital Sciences

Abstract

The detection of vascular endothelial growth factor (VEGF) plays a very important role in the research of joint-related diseases, especially osteoarthritis. In this work, a label-free optical fiber biosensor was designed based on the semi-distributed interferometric (SDI) system that can be used for highly sensitive measurements of VEGF. The optical fiber sensor was manufactured using the splice-and-cleave method of single-mode and enhanced backscattering fibers, and then anti-VEGF antibodies were attached to its surface. The fabricated sensors showed high sensitivity towards refractive index variations within the range of 137 to 207 dB/RIU. In the detection tests carried out in Phosphate Buffer Saline (PBS), there was a definite concentration-dependent response over the entire range from 1 fM to 100 nM, giving an output signal variation of around 1.7 – 1.8 dB with good linearity (R² = 0.94). It was also observed that the sensor could detect VEGF accurately at femtomolar concentrations, which clearly indicated its highly sensitive nature. Evaluation in simulated synovial fluid environment in a knee-joint phantom model also gave a positive result. The results show that the designed optical fiber biosensor based on SDI technique is a miniaturized, sensitive, and rapid system for detecting VEGF. The current research lays down the groundwork for future experiments that can be performed using biological samples and possibly even in vivo.

Description

Keywords

Citation

Olayiwola, Abdullateef. (2026). Development of an Optical Fiber Biosensor for the Detection of Vascular Endothelial Growth Factor (VEGF) for Synovial Fluid Application. Nazarbayev University School of Engineering and Digital Science.

Endorsement

Review

Supplemented By

Referenced By

Creative Commons license

Except where otherwised noted, this item's license is described as Attribution-NoDerivs 3.0 United States