An Interface-Adapted Fiber Sensor for Real-Time Monitoring of Biochemical Markers in Synovial Fluid

Area of Science:

• Biomedical Engineering
• Biomarker Detection
• Osteoarthritis Research

Background:

• Osteoarthritis (OA) is a widespread degenerative joint disease impacting millions globally, necessitating improved diagnostic and monitoring tools.
• Current methods for analyzing synovial fluid face challenges due to low sample volume, invasiveness, and potential for inflammation.
• Real-time biochemical monitoring of synovial fluid is critical for understanding OA onset and progression.

Purpose of the Study:

• To develop a minimally invasive, interface-adapted fiber sensor for in-situ synovial fluid analysis.
• To enable accurate and real-time monitoring of key osteoarthritis biomarkers.
• To assess the sensor's impact on joint inflammation and animal mobility.

Main Methods:

• Development of an interface-adapted fiber sensor designed for minimal joint cavity invasion.
• Validation of sensor accuracy against the clinical gold standard for biochemical detection (>96.8%).
• Evaluation of sensor biocompatibility through animal behavioral tests and assessment of induced joint inflammation.

Main Results:

• The developed fiber sensor achieved high accuracy comparable to clinical standards.
• Sensor implantation did not induce additional joint inflammation or impede normal animal movement.
• The sensor successfully enabled real-time monitoring of asymmetric dimethylarginine and lactate levels in an OA model.

Conclusions:

• The interface-adapted fiber sensor provides a viable, minimally invasive tool for real-time synovial fluid analysis in osteoarthritis.
• This technology offers valuable insights into cartilage damage and metabolic changes during OA progression.
• The sensor facilitates early diagnosis and continuous monitoring of osteoarthritis.