We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Optical Fiber Sensing System Monitors Post TBI Complications

By HospiMedica International staff writers
Posted on 05 Dec 2024
Print article
Image: Fully automated and AI-assisted optical fiber sensing system for multiplexed and continuous brain monitoring (Photo courtesy of ACS Sens. 2024, doi/10.1021/acssensors.4c02126#_i50)
Image: Fully automated and AI-assisted optical fiber sensing system for multiplexed and continuous brain monitoring (Photo courtesy of ACS Sens. 2024, doi/10.1021/acssensors.4c02126#_i50)

After a traumatic brain injury, such as a concussion, secondary damage from brain swelling can occur. While biomarkers in blood or spinal fluid provide valuable insights into brain health, many current methods face challenges in simultaneously monitoring multiple biomarkers. Researchers have now developed an optical fiber sensing system that could enable medical professionals to track complications following a traumatic brain injury. This technology allows for the continuous, automatic monitoring of six biomarkers simultaneously, offering critical information on brain health during lab tests.

Fiber optics, known for their ability to transmit information at extremely high speeds, have applications beyond just internet connections. Researchers from Imperial College London (London, UK) set out to design an optical fiber system capable of simultaneously monitoring six vital biomarkers of brain health: temperature, pH, and concentrations of dissolved oxygen, glucose, sodium ions, and calcium ions. Optical fibers, similar to those used in underground cabling, are ideal for medical purposes due to their small size and ability to interact with light-absorbing biomarkers or tissues in detectable patterns. The researchers equipped six optical fibers with fluorescent tips specific to each biomarker. A multi-wavelength laser was directed through the fibers to monitor the analytes. When a target analyte interacted with a fluorescent tip, the resulting change in brightness was captured by a computer.

The researchers integrated these six fibers, along with an additional fiber to enhance the calcium signal, into a 2.5-millimeter-thick catheter to create a cerebrospinal fluid sensing system. Machine-learning algorithms were employed to separate the fluorescence signals, making it easy to interpret each biomarker's readout. In animal experiments simulating the conditions of a human brain after a traumatic injury, the catheter successfully detected the six biomarkers. The system was then tested on cerebrospinal fluid samples from healthy human participants, which were spiked with the relevant brain health biomarkers. The sensing system accurately measured pH, temperature, and dissolved oxygen levels and identified changes in ion and glucose concentrations. According to the researchers, this work, published in ACS Sensors, demonstrates that their optical fiber system can identify potential secondary injuries and help monitor complications in patients recovering from traumatic brain injuries.

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
New
Bariatric Flip Seat Scale
Detecto 6868
New
Mobile Cordless Cast Saw
CleanCast CSB-100

Print article

Channels

Surgical Techniques

view channel
Image: Application of Pericelle to the porcine model of femoral arterio-venous fistula (Photo courtesy of Bioactive Materials, DOI:10.1016/j.bioactmat.2024.10.005)

Nanotechnology-Based Drug Delivery System Could Help Dialysis and Heart Patients Avoid Repeat Surgeries

Revascularization procedures are essential for treating cardiovascular disease by restoring the necessary blood flow. For instance, a surgeon may transfer a vein from the leg to the heart to help patients... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.