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Sniffing out urinary tract infection—diagnosis based on volatile organic compounds and smell profile
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Dospinescu, Valentin-Mihai, Tiele, Akira and Covington, James A. (2020) Sniffing out urinary tract infection—diagnosis based on volatile organic compounds and smell profile. Biosensors, 10 (8). 83. doi:10.3390/bios10080083 ISSN 2079-6374.
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Official URL: https://doi.org/10.3390/bios10080083
Abstract
Current available methods for the clinical diagnosis of urinary tract infection (UTI) rely on a urine dipstick test or culturing of pathogens. The dipstick test is rapid (available in 1–2 min), but has a low positive predictive value, while culturing is time-consuming and delays diagnosis (24–72 h between sample collection and pathogen identification). Due to this delay, broad-spectrum antibiotics are often prescribed immediately. The over-prescription of antibiotics should be limited, in order to prevent the development of antimicrobial resistance. As a result, there is a growing need for alternative diagnostic tools. This paper reviews applications of chemical-analysis instruments, such as gas chromatography–mass spectrometry (GC-MS), selected ion flow tube mass spectrometry (SIFT-MS), ion mobility spectrometry (IMS), field asymmetric ion mobility spectrometry (FAIMS) and electronic noses (eNoses) used for the diagnosis of UTI. These methods analyse volatile organic compounds (VOCs) that emanate from the headspace of collected urine samples to identify the bacterial pathogen and even determine the causative agent’s resistance to different antibiotics. There is great potential for these technologies to gain wide-spread and routine use in clinical settings, since the analysis can be automated, and test results can be available within minutes after sample collection. This could significantly reduce the necessity to prescribe broad-spectrum antibiotics and allow the faster and more effective use of narrow-spectrum antibiotics.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QD Chemistry R Medicine > RC Internal medicine |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Library of Congress Subject Headings (LCSH): | Urinary tract infections -- Diagnosis, Clinical biochemistry, Volatile organic compounds, Ion mobility spectroscopy, Gas chromatography, Mass spectrometry | ||||||
Journal or Publication Title: | Biosensors | ||||||
Publisher: | MDPI AG | ||||||
ISSN: | 2079-6374 | ||||||
Official Date: | 23 July 2020 | ||||||
Dates: |
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Volume: | 10 | ||||||
Number: | 8 | ||||||
Article Number: | 83 | ||||||
DOI: | 10.3390/bios10080083 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | ** From Crossref via Jisc Publications Router ** History: epub 23-07-2020; issued 23-07-2020. | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 18 September 2020 | ||||||
Date of first compliant Open Access: | 18 September 2020 | ||||||
RIOXX Funder/Project Grant: |
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