Evidence map›Paper›PMID 36849905›Full record

ArticleBMC microbiology2023

Insights into the enumeration of mixtures of probiotic bacteria by flow cytometry.

Harry Tracey, Niall Coates, Eleri Hulme, Daniel John, Daryn Robert Michael, Susan Frances Plummer

Abstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

6 authors.

Harry Tracey *Cultech Limited, Unit 2 Christchurch Road, Baglan Industrial Park, Port Talbot, UK.
Niall Coates *Cultech Limited, Unit 2 Christchurch Road, Baglan Industrial Park, Port Talbot, UK. niallc@cultech.co.uk.
Eleri HulmeCultech Limited, Unit 2 Christchurch Road, Baglan Industrial Park, Port Talbot, UK.
Daniel JohnCultech Limited, Unit 2 Christchurch Road, Baglan Industrial Park, Port Talbot, UK.
Daryn Robert MichaelCultech Limited, Unit 2 Christchurch Road, Baglan Industrial Park, Port Talbot, UK.
Susan Frances PlummerCultech Limited, Unit 2 Christchurch Road, Baglan Industrial Park, Port Talbot, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of flow cytometry to enumerate microorganisms is gaining traction over the traditional plate count technique on the basis of superior accuracy, precision and time-to-result. Here, we assessed the suitability of live/dead flow cytometry for the enumeration of mixed populations of probiotic bacteria (L. acidophilus, L. paracasei, L. plantarum, L. salivarius, B. lactis and B. bifidum) whilst comparing outcomes with plate counting. Using a novel gating strategy designed specifically for the enumeration of mixed populations, the application of flow cytometry resulted in the detection of higher numbers of viable bacteria with a greater level of repeatability than plate counting (RSD of 6.82 and 13.14% respectively). Across all multi-species blends tested, viable cell input was more accurately recovered by flow cytometry (101.8 ± 6.95%) than plate counts (81.37 ± 16.03%). However, when certain probiotic mixtures contained preparations with high numbers of non-viable cells in their total population, flow cytometry had the potential for overestimation of the viable population. Nevertheless, the comparative plate counts of these mixtures were low and variable, thus supporting the use of flow cytometry for the enumeration of viable bacteria in mixed populations.

Indexed as

Bifidobacterium bifidumProbioticsFlow CytometryLactobacillus acidophilusFlow cytometryMultistrainPlate countProbiotic

Identifiers

PMID36849905
PMCPMC9969615

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Registered trials

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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.