eNose to sniff out Human Feces to Diagnose Colon-Related Illnesses

Published By : 29 Dec 2017 | Published By : QYRESEARCH

World over, current tests used to diagnose various colon-related illnesses, notably ulcerative colitis and Crohn's disease, are largely invasive. A recent research indicates that clinicians may soon have a method to non-invasively diagnose these illnesses and differentiate between ulcerative colitis and Crohn's disease with the help of electronic nose (eNose). A team of researchers at La Fe Health Investigation Institute In Spain and the Gandia campus of the Polytechnic University of Valencia have developed a prototype of eNose that can diagnose patients with the diseases, rapidly and with around 90% accuracy. Called Moosy 32 eNose, the equipment can not only sniff out the stool of patients to detect colon-related illnesses, but is capable of determining the severity of the disease.

As of now, researchers revealed that 445 samples were tested for positive results and the development process was funded by the regional government of Valencia. The initial financing of the project is done by Inbio, a collaboration between La Fe and Polytechnic University of Valencia. 

eNose to be Used in Non-Invasive Detection and Monitoring of Inflammatory Bowel Diseases

The prototype Moosy 32 eNose designed by researchers is equipped with a special sensor that can whiffs of volatile organic compounds, which acts as diagnostic markers. These are disposed of as body excreta through the feces and are formed as a result of metabolic processes in humans. The specific whiffs sensed by the equipment are then converted into diagnoses using specific algorithms. The scientists contend their work is likely to pave way for advanced eNose technologies for the non-invasive monitoring of the conditions that fall under inflammatory bowel diseases (IBD).

Further research are being conducted to improve the sensing capability of the sensors so that the eNose can detect prostate cancer in the not-so-distant future. Going forward, they can be put to diverse applications such as in the agro-food sector for detecting the microbial contamination of water or the degree of ripeness of fruits. 

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