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A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy

The fluorescence spectrum of bacterially bound acridine orange (AO) was investigated to evaluate its use for the rapid enumeration of bacteria. Escherichia coli ATCC 25922 samples were stained with 2 × 10(−2), 2 × 10(−3) or 2 × 10(−4)% w/v AO, followed by 3, 2 or 0 washing cycles, respectively, and...

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Autores principales: Guo, Rachel, McGoverin, Cushla, Swift, Simon, Vanholsbeeck, Frederique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437196/
https://www.ncbi.nlm.nih.gov/pubmed/28389919
http://dx.doi.org/10.1007/s00216-017-0347-1
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author Guo, Rachel
McGoverin, Cushla
Swift, Simon
Vanholsbeeck, Frederique
author_facet Guo, Rachel
McGoverin, Cushla
Swift, Simon
Vanholsbeeck, Frederique
author_sort Guo, Rachel
collection PubMed
description The fluorescence spectrum of bacterially bound acridine orange (AO) was investigated to evaluate its use for the rapid enumeration of bacteria. Escherichia coli ATCC 25922 samples were stained with 2 × 10(−2), 2 × 10(−3) or 2 × 10(−4)% w/v AO, followed by 3, 2 or 0 washing cycles, respectively, and fluorescence spectra were recorded using a fibre-based spectroscopic system. Independent component analysis was used to analyse the spectral datasets for each staining method. Bacterial concentration order of magnitude classification models were calculated using independent component weights. The relationship between fluorescence intensity of bound AO and bacterial concentration was not linear. However, the spectral signals collected for AO stain concentration-bacterial concentration pairs were reproducible and unique enough to enable classification of samples. When above 10(5) CFU ml(−1), it was possible to rapidly determine what the order of magnitude of bacterial concentration of a sample was using a combination of two of the sample preparation methods. A relatively inexpensive (around US$10 per test) rapid method (within 25 min of sampling) for enumeration of bacteria by order of magnitude will reduce the time and cost of microbiological tests requiring gross concentration information. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00216-017-0347-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-54371962017-06-06 A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy Guo, Rachel McGoverin, Cushla Swift, Simon Vanholsbeeck, Frederique Anal Bioanal Chem Research Paper The fluorescence spectrum of bacterially bound acridine orange (AO) was investigated to evaluate its use for the rapid enumeration of bacteria. Escherichia coli ATCC 25922 samples were stained with 2 × 10(−2), 2 × 10(−3) or 2 × 10(−4)% w/v AO, followed by 3, 2 or 0 washing cycles, respectively, and fluorescence spectra were recorded using a fibre-based spectroscopic system. Independent component analysis was used to analyse the spectral datasets for each staining method. Bacterial concentration order of magnitude classification models were calculated using independent component weights. The relationship between fluorescence intensity of bound AO and bacterial concentration was not linear. However, the spectral signals collected for AO stain concentration-bacterial concentration pairs were reproducible and unique enough to enable classification of samples. When above 10(5) CFU ml(−1), it was possible to rapidly determine what the order of magnitude of bacterial concentration of a sample was using a combination of two of the sample preparation methods. A relatively inexpensive (around US$10 per test) rapid method (within 25 min of sampling) for enumeration of bacteria by order of magnitude will reduce the time and cost of microbiological tests requiring gross concentration information. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00216-017-0347-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-04-07 2017 /pmc/articles/PMC5437196/ /pubmed/28389919 http://dx.doi.org/10.1007/s00216-017-0347-1 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Paper
Guo, Rachel
McGoverin, Cushla
Swift, Simon
Vanholsbeeck, Frederique
A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy
title A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy
title_full A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy
title_fullStr A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy
title_full_unstemmed A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy
title_short A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy
title_sort rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437196/
https://www.ncbi.nlm.nih.gov/pubmed/28389919
http://dx.doi.org/10.1007/s00216-017-0347-1
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