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
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




Wearable Sensing Patch Enables Rapid Quantitative Analysis of Urea in Body Fluids

By HospiMedica International staff writers
Posted on 24 Feb 2023
Print article
Image: New approach enables faster testing of urea in body fluids (Photo courtesy of HFIPS)
Image: New approach enables faster testing of urea in body fluids (Photo courtesy of HFIPS)

Urea, which is excreted in sweat, urine, saliva and blood, is a key indicator of renal function in clinical diagnosis. Effective determination of urea levels can enable early detection of diseases. There has been growing focus on wearable fluorescence-based sensors, although traditional fluorescent hydrogels are excited by short wavelengths, hampering the detection of biological samples. Now, researchers have developed a wearable sensing patch that enables the rapid quantitative analysis of urea.

Spontaneous and background fluorescence can interfere with the detection of biological samples. Upconversion nanoparticles (UCNPs), which can eliminate the self-fluorescence and background interference of biological samples, are an effective strategy for detecting human biomarkers with high sensitivity. Researchers from the Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Sciences (Beijing, China) have developed a polyacrylamide (PAM) hydrogel sensor based on an upconversion optical probe, which was composed of UCNPs and p-dimethylamino-cinnamaldehyde (p-DMAC). As a result of the internal filtration effect, the red product produced by the reaction of urea and p-DMAC quenched the green fluorescence of the UCNPs and caused the upconversion fluorescence to change from yellow to red, thus realizing the fluorescence detection of urea.

Based on this, the researchers fabricated a flexible wearable sensor by combining PAM hydrogel and a portable sensor platform built using 3D printing technology. The researchers found the limits of detection of the self-designed upconversion fluorescent probe and the hydrogel sensor to be just 1.4 μM and 30 μM, respectively, which was much lower than the urea content in sweat, implying higher sensitivity. The sensor patch design paves the way for a convenient approach to accurately detect biomarkers in body fluids and for development into a device that could provide disease warning and clinical diagnosis, according to the researchers.

Related Links:
Chinese Academy of Sciences

Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
12-Channel ECG
CM1200B
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Silver Member
ECG Management System
NEMS-Q

Print article

Channels

Surgical Techniques

view channel
Image: Miniaturized electric generators based on hydrogels for use in biomedical devices (Photo courtesy of HKU)

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

The development of engineered devices that can harvest and convert the mechanical motion of the human body into electricity is essential for powering bioelectronic devices. This mechanoelectrical energy... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... 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 Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.