Evidence map›Paper›PMID 30886183›Full record

ArticleScientific reports2019

Near real-time enumeration of live and dead bacteria using a fibre-based spectroscopic device.

Fang Ou, Cushla McGoverin, Simon Swift, Frédérique Vanholsbeeck

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 36 citations in OpenAlex.

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  11. Detection ofFrontiers in microbiology · 2022
    Article
  12. Rapid Detection ofMicroorganisms · 2021
    Article
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Fang OuDepartment of Physics, The University of Auckland, Auckland, New Zealand. fou521@aucklanduni.ac.nz.ORCID 0000-0002-5037-0857
Cushla McGoverinDepartment of Physics, The University of Auckland, Auckland, New Zealand.ORCID 0000-0003-3187-9743
Simon SwiftSchool of Medical Sciences, The University of Auckland, Auckland, New Zealand.
Frédérique VanholsbeeckDepartment of Physics, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-9653-6907
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid, cost-effective and easy method that allows on-site determination of the concentration of live and dead bacterial cells using a fibre-based spectroscopic device (the optrode system) is proposed and demonstrated. Identification of live and dead bacteria was achieved by using the commercially available dyes SYTO 9 and propidium iodide, and fluorescence spectra were measured by the optrode. Three spectral processing methods were evaluated for their effectiveness in predicting the original bacterial concentration in the samples: principal components regression (PCR), partial least squares regression (PLSR) and support vector regression (SVR). Without any sample pre-concentration, PCR achieved the most reliable results. It was able to quantify live bacteria from 10

Indexed as

Microbial ViabilityBacteriaFluorescent DyesMicrobiological TechniquesOrganic ChemicalsRegression AnalysisSpectrum AnalysisStaining and LabelingFluorescent DyesOrganic ChemicalsSYTO 9

Identifiers

PMID30886183
PMCPMC6423134
OpenAlexW2890596726

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.