Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/121033
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Type: Journal article
Title: Rapid separation and identification of beer spoilage bacteria by inertial microfluidics and MALDI-TOF mass spectrometry
Author: Condina, M.R.
Dilmetz, B.A.
Razavi Bazaz, S.
Meneses, J.
Ebrahimi Warkiani, M.
Hoffmann, P.
Citation: Lab on a Chip: miniaturisation for chemistry, physics, biology, materials science and bioengineering, 2019; 19(11):1961-1970
Publisher: Royal Society of Chemistry
Issue Date: 2019
ISSN: 1473-0197
1473-0189
Statement of
Responsibility: 
Mark R. Condina, Brooke A. Dilmetz, Sajad Razavi Bazaz, Jon Meneses, Majid Ebrahimi Warkiani and Peter Hoffmann
Abstract: Matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS), in combination with Biotyper software, is a rapid, high-throughput, and accurate method for the identification of microbes. Microbial outbreaks in a brewery present a major risk for companies as it can lead to cost-intensive recalls and damage to the brand reputation. MALDI-TOF MS has been implemented into a brewery setting for quality control practices and the identification of beer spoilage microorganisms. However, the applicability of this approach is hindered by compatibility issues associated with mixed cultures, requiring the use of time-consuming selective cultivation techniques prior to identification. We propose a novel, low-cost approach based on the combination of inertial microfluidics and secondary flows in a spiral microchannel for high-throughput and efficient separation of yeasts (Saccharomyces pastorianus and Saccharomyces cerevisiae) from beer spoilage microorganisms (Lactobacillus brevis and Pediococcus damnosus). Flow rates were optimised using S. pastorianus and L. brevis, leading to separation of more than 90% of the L. brevis cells from yeast. The microorganisms were then identified to the species level using the MALDI-TOF MS platform using standard sample preparation protocols. This study shows the high-throughput and rapid separation of spoilage microorganisms (0.3-3 μm) from background yeast (5 μm) from beer, subsequent identification using MALDI Biotyper, and the potential applicability of the approach for biological control in the brewing industry.
Keywords: Bacteria
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Equipment Design
Time Factors
Beer
Lab-On-A-Chip Devices
Limit of Detection
Rights: This journal is © The Royal Society of Chemistry 2019. This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
DOI: 10.1039/c9lc00152b
Grant ID: http://purl.org/au-research/grants/arc/DP170103704
http://purl.org/au-research/grants/arc/DP180103003
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