Journal
JOURNAL OF BREATH RESEARCH
Volume 8, Issue 2, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/1752-7155/8/2/026001
Keywords
gas chromatography; artificial neural networks; bio-sensing; irritable bowel syndrome; inflammatory bowel disease
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Funding
- Wellcome Trust
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There is much clinical interest in the development of a low-cost and reliable test for diagnosing inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS), two very distinct diseases that can present with similar symptoms. The assessment of stool samples for the diagnosis of gastro-intestinal diseases is in principle an ideal non-invasive testing method. This paper presents an approach to stool analysis using headspace gas chromatography and a single metal oxide sensor coupled to artificial neural network software. Currently, the system is able to distinguish samples from patients with IBS from patients with IBD with a sensitivity and specificity of 76% and 88% respectively, with an overall mean predictive accuracy of 76%.
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