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Tunable diode laser absorption spectroscopy as method of choice for non-invasive and automated detection of microbial growth in media fills

Brueckner, David and Roesti, David and Zuber, Ulrich and Sacher, Meik and Duncan, Derek and Krähenbühl, Stephan and Braissant, Olivier. (2017) Tunable diode laser absorption spectroscopy as method of choice for non-invasive and automated detection of microbial growth in media fills. Talanta, 167. pp. 21-29.

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Official URL: https://edoc.unibas.ch/59268/

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Abstract

Tunable diode laser absorption spectroscopy (TDLAS) was evaluated on its potential to detect bacterial growth of contaminated media fill vials. The target was a replacement/ automation of the traditional visual media fill inspection. TDLAS was used to determine non-invasively O2 and/or CO2 changes in headspaces of such vials being induced by metabolically active microorganisms. Four different vial formats, 34 microorganisms (inoculation volume<10 cells) and two different media (TSB/FTM) were tested. Applying parallel CO2 and O2 headspace measurements all format-organism combinations were detected within <11 days reliably with reproducible results. False negatives were exclusively observed for samples that were intentionally breached with syringes of 0.3mm in diameter. Overall it was shown that TDLAS functionality for a replacement of the visual media fill inspection is given and that investing in further validation and implementation studies is valuable. Nevertheless, some small but vincible challenges remain to have this technology in practical use.
Faculties and Departments:03 Faculty of Medicine
03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Klinische Pharmakologie > Klinische Pharmakologie (Krähenbühl)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Klinische Pharmakologie > Klinische Pharmakologie (Krähenbühl)
05 Faculty of Science > Departement Pharmazeutische Wissenschaften > Pharmazie > Pharmakologie (Krähenbühl)
UniBasel Contributors:Krähenbühl, Stephan
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:0039-9140
e-ISSN:1873-3573
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:30 Apr 2020 08:01
Deposited On:30 Apr 2020 08:01

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