Next Article in Journal
Surface Probe Linker with Tandem Anti-Fouling Properties for Application in Biosensor Technology
Next Article in Special Issue
Fecal Volatile Organic Compound Profiles are Not Influenced by Gestational Age and Mode of Delivery: A Longitudinal Multicenter Cohort Study
Previous Article in Journal
A Disposable Passive Microfluidic Device for Cell Culturing
Previous Article in Special Issue
Assessment of the Portable C-320 Electronic Nose for Discrimination of Nine Insectivorous Bat Species: Implications for Monitoring White-Nose Syndrome
Open AccessArticle

The Detection of Wound Infection by Ion Mobility Chemical Analysis

School of Engineering, University of Warwick, Coventry CV4 7AL, UK
Warwick Medical School, University of Warwick, Medical School Building, Coventry CV4 7HL, UK
Department of Plastic Surgery, University Hospitals of Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry, CV2 2DX, UK
Author to whom correspondence should be addressed.
Biosensors 2020, 10(3), 19;
Received: 6 February 2020 / Revised: 24 February 2020 / Accepted: 26 February 2020 / Published: 29 February 2020
(This article belongs to the Special Issue Noninvasive Early Disease Diagnosis)
Surgical site infection represents a large burden of care in the National Health Service. Current methods for diagnosis include a subjective clinical assessment and wound swab culture that may take several days to return a result. Both techniques are potentially unreliable and result in delays in using targeted antibiotics. Volatile organic compounds (VOCs) are produced by micro-organisms such as those present in an infected wound. This study describes the use of a device to differentiate VOCs produced by an infected wound vs. colonised wound. Malodourous wound dressings were collected from patients, these were a mix of post-operative wounds and vascular leg ulcers. Wound microbiology swabs were taken and antibiotics commenced as clinically appropriate. A control group of soiled, but not malodorous wound dressings were collected from patients who had a split skin graft (SSG) donor site. The analyser used was a G.A.S. GC-IMS. The results from the samples had a sensitivity of 100% and a specificity of 88%, with a positive predictive value of 90%. An area under the curve (AUC) of 91% demonstrates an excellent ability to discriminate those with an infected wound from those without. VOC detection using GC-IMS has the potential to serve as a diagnostic tool for the differentiation of infected and non-infected wounds and facilitate the treatment of wound infections that is cost effective, non-invasive, acceptable to patients, portable, and reliable. View Full-Text
Keywords: wound infection; gas analysis; diagnosis; VOC; GC-IMS wound infection; gas analysis; diagnosis; VOC; GC-IMS
Show Figures

Figure 1

MDPI and ACS Style

Daulton, E.; Wicaksono, A.; Bechar, J.; Covington, J.A.; Hardwicke, J. The Detection of Wound Infection by Ion Mobility Chemical Analysis. Biosensors 2020, 10, 19.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop