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Detection of Microbial Nitroreductase Activity by Monitoring Exogenous Volatile Organic Compound Production Using HS-SPME-GC-MS

Title: Detection of Microbial Nitroreductase Activity by Monitoring Exogenous Volatile Organic Compound Production Using HS-SPME-GC-MS
Authors: Ryan Thompson; John D. Perry; Stephen P. Stanforth; John R. Dean
Source: Separations, Vol 7, Iss 64, p 64 (2020)
Publisher Information: MDPI AG
Publication Year: 2020
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: nitroreductase; enzymatic substrates; microbial diagnostics; VOC detection; HS-SPME-GC-MS; Physics; QC1-999; Chemistry; QD1-999
Description: Development of a rapid approach for universal microbial detection is required in the healthcare, food and environmental sectors to aid with medical intervention, food safety and environmental protection. This research investigates the use of enzymatic hydrolysis of a substrate by a microorganism to generate a volatile organic compound (VOC). One such enzyme activity that can be used in this context is nitroreductase as such activity is prevalent across a range of microorganisms. A study was developed to evaluate a panel of 51 microorganisms of clinical interest for their nitroreductase activity. Two enzyme substrates, nitrobenzene and 1-fluoro-2-nitrobenzene, were evaluated for this purpose with evolution, after incubation, of the VOCs aniline and 2-fluoroaniline, respectively. Detection of the VOCs was done using headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) with obtained limits of quantitation (LOQ) of 0.17 and 0.03 µg/mL for aniline and 2-fluoroaniline, respectively. The results indicated that both enzyme substrates were reduced by the same 84.3% of microorganisms producing the corresponding volatile anilines which were detected using HS-SPME-GC-MS. It was found that nitroreductase activity could be detected after 6–8 h of incubation for the selected pathogenic bacteria investigated. This approach shows promise as a rapid universal microbial detection system.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/2297-8739/7/4/64; https://doaj.org/toc/2297-8739; https://doaj.org/article/33080f5ba205426e98d02eeb5500a124
DOI: 10.3390/separations7040064
Availability: https://doi.org/10.3390/separations7040064; https://doaj.org/article/33080f5ba205426e98d02eeb5500a124
Accession Number: edsbas.9D48C2D
Database: BASE