Identification of volatile compounds from bacteria by spectrometric methods in medicine diagnostic and other areas: current state and perspectives

Author:

Kunze-Szikszay NilsORCID,Euler Maximilian,Perl ThorstenORCID

Abstract

Abstract Diagnosis of bacterial infections until today mostly relies on conventional microbiological methods. The resulting long turnaround times can lead to delayed initiation of adequate antibiotic therapy and prolonged periods of empiric antibiotic therapy (e.g., in intensive care medicine). Therewith, they contribute to the mortality of bacterial infections and the induction of multidrug resistances. The detection of species specific volatile organic compounds (VOCs) emitted by bacteria has been proposed as a possible diagnostic approach with the potential to serve as an innovative point-of-care diagnostic tool with very short turnaround times. A range of spectrometric methods are available which allow the detection and quantification of bacterial VOCs down to a range of part per trillion. This narrative review introduces the application of spectrometric analytical methods for the purpose of detecting VOCs of bacterial origin and their clinical use for diagnosing different infectious conditions over the last decade. Key Points • Detection of VOCs enables bacterial differentiation in various medical conditions. • Spectrometric methods may function as point-of-care diagnostics in near future.

Funder

Georg-August-Universität Göttingen

Publisher

Springer Science and Business Media LLC

Subject

Applied Microbiology and Biotechnology,General Medicine,Biotechnology

Reference72 articles.

1. Amann A, Costello Bde L, Miekisch W, Schubert J, Buszewski B, Pleil J, Ratcliffe N, Risby T (2014) The human volatilome: volatile organic compounds (VOCs) in exhaled breath, skin emanations, urine, feces and saliva. J Breath Res 8(3):034001. https://doi.org/10.1088/1752-7155/8/3/034001

2. Arasaradnam RP, McFarlane M, Daulton E, Skinner J, O’Connell N, Wurie S, Chambers S, Nwokolo C, Bardhan K, Savage R, Covington J (2016) Non-invasive exhaled volatile organic biomarker analysis to detect inflammatory bowel disease (IBD). Dig Liver Dis 48(2):148–153. https://doi.org/10.1016/j.dld.2015.10.013

3. Arasaradnam RP, Ouaret N, Thomas MG, Quraishi N, Heatherington E, Nwokolo CU, Bardhan KD, Covington JA (2013) A novel tool for noninvasive diagnosis and tracking of patients with inflammatory bowel disease. Inflamm Bowel Dis 19(5):999–1003. https://doi.org/10.1097/MIB.0b013e3182802b26

4. Bach JP, Gold M, Mengel D, Hattesohl A, Lubbe D, Schmid S, Tackenberg B, Rieke J, Maddula S, Baumbach JI, Nell C, Boeselt T, Michelis J, Alferink J, Heneka M, Oertel W, Jessen F, Janciauskiene S, Vogelmeier C, Dodel R, Koczulla AR (2015) Measuring compounds in exhaled air to detect Alzheimer’s disease and Parkinson’s disease. PLoS ONE 10(7):e0132227. https://doi.org/10.1371/journal.pone.0132227

5. Battle SE, Bookstaver PB, Justo JA, Kohn J, Albrecht H, Al-Hasan MN (2017) Association between inappropriate empirical antimicrobial therapy and hospital length of stay in Gram-negative bloodstream infections: stratification by prognosis. J Antimicrob Chemother 72(1):299–304. https://doi.org/10.1093/jac/dkw402

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