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




Sliver-Sized Sensor Monitors Glucose

By HospiMedica staff writers
Posted on 27 Oct 2004
Print article
A fully functional, minimally invasive microscopic monitor can be placed just under the skin and seen with the naked eye for very accurate, continuous glucose levels shown by simple color changes. The monitor could also be used to monitor astronauts in outer space and for diagnostic telemedicine.

The sensor is 1-2 millimeters long and 100-200 um wide, penetrates the skin easily and painlessly so users may insert or reinsert it when needed, and can be operational at least for several days at a time. Colors in the tiny sensor, which is smaller than the tip of a pencil, gradually change from orange (low glucose level) to green and then to dark blue, as levels increase. A deep, darker blue indicates the highest glucose level that can occur in diabetics.

The sensor can be monitored by eyesight and by electronic telemetry, using a watch-like device worn by the patient for data processing. Sensing itself does not require a battery or the collection of blood samples. There is no deterioration of the skin surface or other areas inside the skin and no danger of track infection.

The sensor was developed by Dr. Miklos Gratzi, associate professor of biomedical engineering at Case Western Reserve University (Cleveland, OH, USA), and co-principal investigator Koji Tohda, a bioengineering researcher at Case. Dr. Gratzi got the idea for the sensor while removing a splinter from his son's finger. Since it showed no open wound in the skin, he thought that a sensor like a sliver would be ideal for all kinds of biomedical applications because the skin would heal very quickly above it and after that, no track infection could occur.

The research is being partially funded by the U.S. National Aeronautics and Space Administration (NASA). The sensor has obvious potential applications in space for monitoring vital markers such as ions and metabolites in astronauts who become ill, and for helping doctors make a diagnosis from several thousand miles away.

"Many diabetics could benefit from this technology, freeing them from having to take samples from their fingers several times a day to monitor blood sugar levels,” noted Dr. Gratzi. "The monitor could also help doctors with close monitoring of electrolytes, metabolites, and other vital biochemicals in the body, primarily those of critically ill patients.” According to Dr. Gratzi, lab and in vivo testing of the sensor in laboratory animals have been going well. He reports that the sliver sensor could be ready for human testing within six months.




Related Links:
Case Western Reserve
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
12-Channel ECG
CM1200B
New
Portable Patient Lift
Maxi Move
New
Surgeon Stool
MR4504

Print article

Channels

Surgical Techniques

view channel
Image: The innovative endoscope precisely identifies and removes tumors with laser light (Photo courtesy of Science Advances 10, eado9721 (2024). DOI: 10.1126/sciadv.ado9721)

Innovative Endoscope Precisely Identifies and Selectively Removes Tumor Tissue in Real Time

One of the most significant challenges in cancer surgery is completely removing a tumor without harming surrounding healthy tissue. Current techniques, such as intraoperative tissue sampling, only provide... 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 © 2000-2025 Globetech Media. All rights reserved.