title: Diagnosing gastrointestinal illnesses using fecal headspace volatile organic compounds.
abstract: Volatile organic compounds (VOCs) emitted from stool are the components of the smell of stool representing the end products of microbial activity and metabolism that can be used to diagnose disease. Despite the abundance of hydrogen, carbon dioxide, and methane that have already been identified in human flatus, the small portion of trace gases making up the VOCs emitted from stool include organic acids, alcohols, esters, heterocyclic compounds, aldehydes, ketones, and alkanes, among others. These are the gases that vary among individuals in sickness and in health, in dietary changes, and in gut microbial activity. Electronic nose devices are analytical and pattern recognition platforms that can utilize mass spectrometry or electrochemical sensors to detect these VOCs in gas samples. When paired with machine-learning and pattern recognition algorithms, this can identify patterns of VOCs, and thus patterns of smell, that can be used to identify disease states. In this review, we provide a clinical background of VOC identification, electronic nose development, and review gastroenterology applications toward diagnosing disease by the volatile headspace analysis of stool.
authors.affiliation: Daniel K Chan, Cadman L Leggett, Kenneth K Wang, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, United States.
authors.forename: Daniel K
authors.initials: DK
authors.lastname: Chan
authors.affiliation: Daniel K Chan, Cadman L Leggett, Kenneth K Wang, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, United States.
authors.forename: Cadman L
authors.initials: CL
authors.lastname: Leggett
authors.affiliation: Daniel K Chan, Cadman L Leggett, Kenneth K Wang, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, United States.
authors.forename: Kenneth K
authors.initials: KK
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D015415:Biomarkers / Q000032:analysis; D015374:Biosensing Techniques / Q000295:instrumentation*; D055664:Electrochemical Techniques; D062609:Electronic Nose; D005243:Feces / Q000737:chemistry*; D005767:Gastrointestinal Diseases / Q000175:diagnosis* / Q000378:metabolism; D006801:Humans; D000069550:Machine Learning; D013058:Mass Spectrometry; D009812:Odorants; D010363:Pattern Recognition, Automated; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D055549:Volatile Organic Compounds / Q000032:analysis*
chemical_list: D015415:Biomarkers; D055549:Volatile Organic Compounds
keywords: Electronic nose; Feces; Mass spectrometry; Odors; Volatile organic compounds
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