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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Electronic-nose technology using sputum samples in diagnosis of patients with tuberculosis
Journal of Clinical Microbiology, Volume 48, No. 11, Year 2010
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Description
We investigated the potential of two different electronic noses (EN; code named "Rob" and "Walter") to differentiate between sputum headspace samples from tuberculosis (TB) patients and non-TB patients. Only samples from Ziehl-Neelsen stain (ZN)- and Mycobacterium tuberculosis culture-positive (TBPOS) sputum samples and ZN- and culture-negative (TBNEG) samples were used for headspace analysis; with EN Rob, we used 284 samples from TB suspects (56 TBPOS and 228 TBNEG samples), and with EN Walter, we used 323 samples from TB suspects (80 TBPOS and 243 TBNEG samples). The best results were obtained using advanced data extraction and linear discriminant function analysis, resulting in a sensitivity of 68%, a specificity of 69%, and an accuracy of 69% for EN Rob; for EN Walter, the results were 75%, 67%, and 69%, respectively. Further research is still required to improve the sensitivity and specificity by choosing more selective sensors and type of sampling technique. Copyright © 2010, American Society for Microbiology. All Rights Reserved.
Authors & Co-Authors
Kolk, Arend H.J.
Netherlands, Amsterdam
Royal Tropical Institute - Kit
Netherlands, Amsterdam
Van 't Hoff Institute for Molecular Sciences
Höelscher, Michael
Germany, Munich
Klinikum Der Universität München
Maboko, Leonard L.
Tanzania
Nimr-mbeya Medical Research Programme
Jung, Jutta
Tanzania
Nimr-mbeya Medical Research Programme
Kuijper, S.
Netherlands, Amsterdam
Royal Tropical Institute - Kit
Cauchi, Michael
United Kingdom, Cranfield
Cranfield University
Bessant, Conrad
United Kingdom, Cranfield
Cranfield University
van Beers, Stella
Netherlands, Amsterdam
Royal Tropical Institute - Kit
Dutta, Ritaban
United Kingdom, Normanton
Scensive Technologies Ltd.
Gibson, Tim D.
United Kingdom, Normanton
Scensive Technologies Ltd.
Reither, Klaus
Germany, Munich
Klinikum Der Universität München
Tanzania
Nimr-mbeya Medical Research Programme
Statistics
Citations: 79
Authors: 11
Affiliations: 6
Identifiers
Doi:
10.1128/JCM.00569-10
ISSN:
00951137
e-ISSN:
1098660X
Research Areas
Infectious Diseases
Study Approach
Systematic review