Developed high-sensitivity self-diagnosis kit for ‘diagnosing diabetes with urine and saliva’

picture explanationSugar analysis device configuration and analysis principle

A technology has been developed that can quickly and accurately identify diabetes, one of the representative chronic diseases, using urine and saliva rather than blood.

The Korea Basic Science Institute (KBSI) announced on the 4th that a research team led by Dr. Choi Jong-soon and Han Do-kyung of the Materials Analysis and Research Department has developed a non-invasive self-diagnosis kit that can effectively identify diabetes using various body fluid samples other than blood, such as urine and saliva.

The research team developed a platinum nano-polymer functional composite material with enzyme-like catalytic (enzyme-mimicking catalyst) properties to detect glucose present in a very small amount in urine and saliva compared to blood.

In addition, a plastic self-diagnosis kit that can analyze a small amount for easy self-diagnosis has been made.

This kit can easily detect sugars in blood, urine, and saliva down to a level of several milligrams within 15 minutes. After taking a picture of the color change of the detector with a smartphone, you can check the test result through free computer software.

The blood glucose sensor method that is currently popularly used is an invasive method that analyzes blood coming out of a finger with a needle through a small analyzer. Although it has the advantage of being easy to use, it is pointed out that the stress of blood sampling that occurs during the diagnosis process, which is performed 2 to 4 times a day to manage blood sugar levels, is pointed out as a disadvantage.

“This is a diagnostic platform technology that can analyze trace amounts of sugar, and it will be useful for patients who need non-invasive sugar analysis,” said Dr. Han Do-kyung. It could be used as a self-diagnosis method,” he said.

[연합뉴스]

s ⓒ Yonhap News. Unauthorized reproduction and redistribution prohibited

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.