Westenbrink, Eric W., Arasaradnam, Ramesh P., O'Connell, Nicola, Bailey, C., Nwokolo, Chuka U., Bardhan, Karna Dev and Covington, James A. (2015) Development and application of a new electronic nose instrument for the detection of colorectal cancer. Biosensors and Bioelectronics, Volume 67 . pp. 733-738. doi:10.1016/j.bios.2014.10.044 ISSN 0956-5663.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Request Changes to record.

Abstract

Colorectal cancer is a leading cause of cancer death in the USA and Europe with symptoms mimicking other far more common lower gastrointestinal (GI) disorders. This difficulty in separating colorectal cancer from these other diseases has driven researchers to search for an effective, non-invasive screening technique. Current state-of-the-art method of Faecal Immunochemical Testing achieving sensitivity ~90%, unfortunately the take-up in the western world is low due to the low patient acceptability of stool samples. However, a wide range of cancers have been distinguished from each-other and healthy controls by detecting the gas/volatile content emanating patient biological media. Dysbiosis afforded by certain disease states may be expressed in the volatile content of urine – a reflection of the gut bacteria′s’s metabolic processes. A new electronic nose instrument was developed at the University of Warwick to measure the gas/volatile content of urine headspace, based on an array of 13 commercial electro-chemical and optical sensors. An experimental setup was arranged for a cohort of 92 urine samples from patients of colorectal cancer (CRC), Irritable bowel syndrome (IBS) and controls to be run through the machine. Features were extracted from response data and used in Linear Discriminant Analysis (LDA) plots, including a full 3-disease classification and one focussing on distinguishing CRC from IBS. The latter case was tested by the success of re-classification using an (n−1) K-nearest neighbour algorithm, showing 78% sensitivity and 79% specificity to CRC.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Journal or Publication Title:	Biosensors and Bioelectronics
Publisher:	Elsevier BV
ISSN:	0956-5663
Official Date:	15 May 2015
Dates:	Date Event 15 May 2015 Published 23 October 2014 Available 8 October 2014 Accepted 19 June 2014 Submitted
Volume:	Volume 67
Page Range:	pp. 733-738
DOI:	10.1016/j.bios.2014.10.044
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item