The Electronic Nose Technology can now Diagnose Diabetes
The 69th Scientific Sessions of the American Diabetes Association was held in New Orleans, in the month of June 2009. The researchers in the meeting, announced that blood sugar levels in a person can start rising even before 13 years before a diagnosis of diabetes. The research study came out with a time line for diabetes for the first time.
|Phase||Years Prior to Diagnosis||Damage Status||Prevention Steps|
|1.||6 years and Above||Insulin Secretion and Resistance||Dietary Changes, Exercise and weight lose|
|2.||Between 3 – 4 years||High Insulin Production||Aggressive Life Style Changes and Medication like Metformin required|
|3.||Diagnosed Pre-Diabetic||Low Insulin Production and High Glucose Levels||Too Late for Prevention|
About Electronic Nose Technology: The above table clearly stresses on the early diagnosis and timely prevention of the disorder. A research study now reports that diabetes diagnosis can be done by the electronic nose technology. Dr. Kenneth S. Suslick and his research team at the University of Illinois, developed this device and named it the electronic nose. This device is sensitive to chemical substances which are harmful to our body. It is made with easily available, inexpensive materials and is portable too. The device was tested in September 2009.
What the Research involved: The researchers involved with the application of Electronic nose technology for diagnosing diabetes, collected the urine samples of the Type 2 diabetic patients and healthy individuals who volunteered for the study. The samples of both the groups were mixed randomly. They were then placed before the Electronic nose with 8 sensors. The device successfully classified the urine samples back to the two distinct groups. The accuracy was 96% in separating the samples in to diabetic and non-diabetic classes.
How the Electronic Nose Works : For every chemical substance detected by the device, a specific color pattern is formed. There are 36 sensors to respond when a color pattern is formed. The response is in the form of glowing LEDs. These sensors are then read by scanners. This helps to understand the information collected by them. The process of scanning is completed in seconds and the results are available in no time.