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Title: Bioelectroanalytical detection of lactic acid bacteria
Authors: Han, Evelina Jing Ying
Olias, Lola Gonzalez
Wuertz, Stefan
Hinks, Jamie
Keywords: Science::Biological sciences
Issue Date: 2022
Source: Han, E. J. Y., Olias, L. G., Wuertz, S. & Hinks, J. (2022). Bioelectroanalytical detection of lactic acid bacteria. Applied Sciences, 12(3), 1257-.
Project: NGF-2016-01-013 
Journal: Applied Sciences 
Abstract: Lactic acid bacteria (LAB) are an industrial important group of organisms that are notable for their inability to respire without growth supplements. Recently described bioelectroanalytical detectors that can specifically detect and enumerate microorganisms depend on a phenomenon known as extracellular electron transport (EET) for effective detection. EET is often described as a type of microbial respiration, which logically excludes LAB from such a detection platform. However, members of the LAB have recently been described as electroactive with the ability to carry out EET, providing a timely impetus to revisit the utility of bioelectroanalytical detectors in LAB detection. Here, we show that an LAB, Enterococcus faecalis, is easily detected bioelectroanalytically using the defined substrate resorufin-β-D-galactopyranoside. Detection is rapid, ranging from 34 to 235 min for inoculum sizes between 107 and 104 CFU mL−1, respectively. We show that, although the signal achieved by Enterococcus faecalis is comparable to systems that rely on the respiratory EET strategies of target bacteria, E. faecalis is not dependent on the electrode for energy, and it is only necessary to capture small amounts of an organism’s metabolic energy to, in this case 1.6%, to achieve good detection. The results pave the way for new means of detecting an industrially important group of organisms, particularly in the food industry.
ISSN: 2076-3417
DOI: 10.3390/app12031257
Organisations: Singapore Eye Research Institute
Research Centres: Singapore Centre for Environmental Life Sciences and Engineering 
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCELSE Journal Articles

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