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




Hand-Held Breathalyzer Aids Diabetes Diagnosis

By Daniel Beris
Posted on 22 Nov 2016
Print article
Image: An early prototype model of the diabetes breathalyzer (Photo courtesy of OMD).
Image: An early prototype model of the diabetes breathalyzer (Photo courtesy of OMD).
A novel hand-held device measures acetone levels in exhaled breath, helping doctors diagnose diabetes in a noninvasive manner.

Under development at the University of Oxford (United Kingdom) and Oxford Medical Diagnostics (OMD; Begbroke, United Kingdom), the device features a 7 centimeter long high finesse hollow core, which serves as an optical cavity-enhanced spectroscopy sensor that is coupled to a miniature preconcentrator containing 0.5 grams of adsorbent polymer material. Exhaled acetone from breath is released into the optical cavity, where it is probed by a near-infrared (NIR) diode laser operating at ∼1670 nm.

As the optical cavity mirror has a reflectivity of 99.994%, breath-sampling rates have a precision of 100 parts per billion by volume (PPBV). The researchers validated the device with measurement of exhaled breath in healthy subjects under different conditions, such as after overnight fasting or exercising, and compared the results with mass spectrometry readings. The measurements were a close match and covered a wide range of concentrations, including those that would suggest a patient has undiagnosed type-1 diabetes. The study was published on October 18, 2016, in Analytical Chemistry.

“It was not an easy task, because breath contains molecules of millions of compounds while this test requires detecting only one of them,” said Ian Campbell, CEO of Oxford Medical Diagnostics. “So, what we do is allow the subject to blow into the device, we extract out the volatile organic compound we wish to measure, in this case acetone. The remainder of the breath passes through the device. We then release the molecules that we're interested in into the cavity to make the measurement.”

The new method is based on cavity ringdown spectroscopy, a method that is used to detect volatile organic compounds (VOCs) released from human breath or skin. It is grounded on the premise that those with diabetes exhale elevated levels of acetone, resulting from ketoacidosis. When classified as diabetic ketoacidosis, the high concentration of ketone bodies is usually accompanied by insulin deficiency, hyperglycemia, and dehydration. The problem is that detecting the acetone is difficult because different compounds, including water, CO2, and methane, compromise the results.

Related Links:
University of Oxford
Oxford Medical Diagnostics
Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Enterprise Imaging & Reporting Solution
Syngo Carbon

Print article

Channels

Surgical Techniques

view channel
Image: The device\'s LEDs light up in several colors, allowing surgeons to see which areas they need to operate on (Photo courtesy of UC San Diego)

Flexible Microdisplay Visualizes Brain Activity in Real-Time To Guide Neurosurgeons

During brain surgery, neurosurgeons need to identify and preserve regions responsible for critical functions while removing harmful tissue. Traditionally, neurosurgeons rely on a team of electrophysiologists,... 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.