The Open UniversitySkip to content
 

Comparison of GC‐MS, HPLC‐MS and SIFT‐MS in conjunction with multivariate classification for the diagnosis of Crohn’s disease in urine

Cauchi, Michael; Fowler, Dawn; Walton, Christopher; Turner, Claire; Waring, Rosemary; Ramsden, David; Hunter, John; Cole, Jeff; Teale, Philip and Bessant, Conrad (2015). Comparison of GC‐MS, HPLC‐MS and SIFT‐MS in conjunction with multivariate classification for the diagnosis of Crohn’s disease in urine. Analytical Methods, 2015(7) pp. 8379–8385.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (446kB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1039/C5AY01322D
Google Scholar: Look up in Google Scholar

Abstract

The developed world has seen an alarming increase in the incidence of gastrointestinal diseases, among the most common of which is Crohn’s disease (CD) in the young. The current “gold standard” techniques for diagnosis are often costly, time consuming, inefficient, invasive, and offer poor sensitivities and specificities. This paper compares the performances of three hyphenated instrumental techniques that have been suggested as rapid methods for the non‐invasive diagnosis of CD from urine. These techniques are gas chromatography‐mass spectrometry (GC‐MS), high performance liquid chromatography‐mass spectrometry (HPLC‐MS) and selected ion flow tube mass spectrometry (SIFT‐MS). Each of these techniques is followed by multivariate classification to provide a diagnosis based on the acquired data. The most promising results for potentially diagnosing CD was via HPLC‐MS. An overall classification accuracy of 73% (74% specificity; 73% sensitivity) was achieved for differentiating CD from healthy controls, statistically significant at 95% confidence.

Item Type: Journal Item
Copyright Holders: 2015 The Royal Society of Chemistry
ISSN: 1759-9679
Project Funding Details:
Funded Project NameProject IDFunding Body
Abnormal sulphur metabolism in the pathogenesis of gastrointestinal disease080238/Z/06/ZWellcome Trust
Keywords: SIFT-MS; GC-MS; VOC analysis; Crohn's disease diagnosis; HPLC-MS; biomarker
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Life, Health and Chemical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Biomedical Research Network (BRN)
Centre for Earth, Planetary, Space and Astronomical Research (CEPSAR)
Innovation, Knowledge & Development research centre (IKD)
Item ID: 44252
Depositing User: Claire Turner
Date Deposited: 02 Sep 2015 08:28
Last Modified: 26 May 2017 12:19
URI: http://oro.open.ac.uk/id/eprint/44252
Share this page:

Altmetrics

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU