Data size reduction strategy for the classification of breath and air samples using multicapillary column : ion mobility spectrometry
- Submitting institution
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University of South Wales / Prifysgol De Cymru
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1662577
- Type
- D - Journal article
- DOI
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10.1021/ac503857y
- Title of journal
- Analytical Chemistry
- Article number
- -
- First page
- 869
- Volume
- 87
- Issue
- 2
- ISSN
- 0003-2700
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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5
- Research group(s)
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A - Sustainable Environment Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the first output of a successful international industry/academic collaboration which delivered the first fully automated biomarker data processing system for identifying relevant signals in Ion Mobility Spectrometry. Exploiting data from the largest clinical trial of its kind, from three UK Trusts empowered team to deliver an unbiased automated data analysis strategy, eliminating spurious signals and reducing data volume to manageable levels. This approach is now applied in industrial applications needing rapid chemical fingerprint classification, established this team as field leaders triggering a requested review article in The Analyst and participation in a large EU trial.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -