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




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

Graphene-Based Biosensors Could Detect Sepsis Earlier in Critically Ill Patients

By HospiMedica International staff writers
Posted on 09 Jun 2023
Print article
Image: Gii-Sens is the world`s first 3D Graphene foam electrode for biosensing (Photo courtesy of Integrated Graphene)
Image: Gii-Sens is the world`s first 3D Graphene foam electrode for biosensing (Photo courtesy of Integrated Graphene)

Lactate serves as a vital biomarker in managing hospitalized patients who are critically ill. A common complication in intensive care units, hyperlactatemia, can occur either due to insufficient oxygen supply to tissues or underlying conditions such as advanced liver disease. If left untreated, hyperlactatemia can escalate into lactate acidosis, a severe condition that can be life-threatening. Reliable real-time lactate detection, whether via single-point or continuous monitoring, has the potential to enhance patient outcomes in critical care and speed up the diagnosis of sepsis in critically ill individuals. Now, a new study has highlighted the significant potential of graphene-based biosensors for detecting elevated lactate levels.

The study by researchers at the University of Bath (Bath, UK) showed that using Integrated Graphene’s (Stirling, UK) Gii-Sens electrochemical sensor can enhance the diagnostic accuracy of hyperlactatemia. The Gii-Sens, a diagnostic biosensing electrode, outperforms conventional sensing materials by a factor of 10-100, enabling rapid, laboratory-quality testing at the point of need in a cost-effective manner. Gii-Sens electrochemical electrodes, produced using Integrated Graphene’s novel 3D graphene Gii, are disposable sensors designed for one-step assays without the need for pre-treatments.

“Lactate is a naturally occurring biomarker which everyone produces as a byproduct of exercising. For most people it is easily processed by the body and will cause no major harm, apart from a little cramp if you overexert yourself,” said Dr. Marco Caffio, Integrated Graphene’s Co-Founder and CSO. “However, for some critically ill patients and those with underlying conditions it can be a sign of a range of other issues, some of which, like sepsis, can be fatal. Having a robust way of monitoring lactate levels is important in ensuring the best possible outcomes for these patients. The findings of this study demonstrate Gii’s reliable performance and potential to save lives.”

Related Links:
University of Bath 
Integrated Graphene 

Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
12-Channel ECG
CM1200B
New
Plasma Freezer
iBF125-GX
New
Medical-Grade POC Terminal
POC-821

Print article

Channels

Surgical Techniques

view channel
Image: The surgical team and the Edge Multi-Port Endoscopic Surgical Robot MP1000 surgical system (Photo courtesy of Wei Zhang)

Endoscopic Surgical System Enables Remote Robot-Assisted Laparoscopic Hysterectomy

Telemedicine enables patients in remote areas to access consultations and treatments, overcoming challenges related to the uneven distribution and availability of medical resources. However, the execution... 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

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.