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

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 X user
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1 Wikipedia page

Citations

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36 Dimensions

Readers on

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48 Mendeley
Title
A rapid and low-cost estimation of bacteria counts in solution using fluorescence spectroscopy
Published in
Analytical & Bioanalytical Chemistry, April 2017
DOI 10.1007/s00216-017-0347-1
Pubmed ID
Authors

Rachel Guo, Cushla McGoverin, Simon Swift, Frederique Vanholsbeeck

Abstract

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. Graphical Abstract Fluorescence spectra of bacterially bound acridine orange (AO) were used for the rapid enumeration of bacteria. Order of magnitude bacterial concentration classification models were calculated using independent components analysis of these fluorescence spectra. When above 10(5) CFU ml(-1), it was possible to rapidly determine the order of magnitude of bacterial concentration of a sample using a combination of two sample preparation methods.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Bachelor 9 19%
Researcher 3 6%
Student > Master 3 6%
Professor 2 4%
Other 5 10%
Unknown 16 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 13%
Immunology and Microbiology 6 13%
Agricultural and Biological Sciences 5 10%
Environmental Science 2 4%
Business, Management and Accounting 2 4%
Other 8 17%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 July 2020.
All research outputs
#8,350,917
of 25,604,262 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,995
of 9,678 outputs
Outputs of similar age
#123,740
of 325,235 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#20
of 144 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,678 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.