Evidence map›Paper›PMID 39251387›Full record

ArticleJournal of industrial microbiology & biotechnology2024

Simultaneous enumeration of yeast and bacterial cells in the context of industrial bioprocesses.

Carolina Teixeira Martins, Ana Paula Jacobus, Renilson Conceição, Douglas Fernandes Barbin, Helena Bolini, Andreas Karoly Gombert

Abstract readComparative Study
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Carolina Teixeira MartinsUniversidade de São Paulo, Programa de Pós-Graduação Interunidades em Biotecnologia, Avenida Prof. Lineu Prestes, 2415 - Edifício ICB - III, Cidade Universitária, CEP 05508-900, São Paulo, SP, Brazil.ORCID 0000-0003-2429-8422
Ana Paula JacobusInstituto de Pesquisa em Bioenergia, Universidade Estadual Paulista "Júlio de Mesquita Filho", Rua 10 2527, 13500-230, Rio Claro, SP, Brazil.
Renilson ConceiçãoFaculdade de Engenharia de Alimentos, Universidade Estadual de Campinas, Rua Monteiro Lobato 80, 13083-862, Campinas, SP, Brazil.
Douglas Fernandes BarbinFaculdade de Engenharia de Alimentos, Universidade Estadual de Campinas, Rua Monteiro Lobato 80, 13083-862, Campinas, SP, Brazil.
Helena BoliniFaculdade de Engenharia de Alimentos, Universidade Estadual de Campinas, Rua Monteiro Lobato 80, 13083-862, Campinas, SP, Brazil.
Andreas Karoly GombertFaculdade de Engenharia de Alimentos, Universidade Estadual de Campinas, Rua Monteiro Lobato 80, 13083-862, Campinas, SP, Brazil.ORCID 0000-0001-9557-3773

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 306190/2022-2Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo 2022/15256-0
6 · The paper itself

Abstract

In scenarios where yeast and bacterial cells coexist, it is of interest to simultaneously quantify the concentrations of both cell types, since traditional methods used to determine these concentrations individually take more time and resources. Here, we compared different methods for quantifying the fuel ethanol Saccharomyces cerevisiae PE-2 yeast strain and cells from the probiotic Lactiplantibacillus plantarum strain in microbial suspensions. Individual suspensions were prepared, mixed in 1:1 or 100:1 yeast-to-bacteria ratios, covering the range typically encountered in sugarcane biorefineries, and analyzed using bright field microscopy, manual and automatic Spread-plate and Drop-plate counting, flow cytometry (at 1:1 and 100:1 ratios), and a Coulter Counter (at 1:1 and 100:1 ratios). We observed that for yeast cell counts in the mixture (1:1 and 100:1 ratios), flow cytometry, the Coulter Counter, and both Spread-plate options (manual and automatic CFU counting) yielded statistically similar results, while the Drop-plate and microscopy-based methods gave statistically different results. For bacterial cell quantification, the microscopy-based method, Drop-plate, and both Spread-plate plating options and flow cytometry (1:1 ratio) produced no significantly different results (p > .05). In contrast, the Coulter Counter (1:1 ratio) and flow cytometry (100:1 ratio) presented results statistically different (p < .05). Additionally, quantifying bacterial cells in a mixed suspension at a 100:1 ratio wasn't possible due to an overlap between yeast cell debris and bacterial cells. We conclude that each method has limitations, advantages, and disadvantages. ONE-SENTENCE SUMMARY: This study compares methods for simultaneously quantifying yeast and bacterial cells in a mixed sample, highlighting that in different cell proportions, some methods cannot quantify both cell types and present distinct advantages and limitations regarding time, cost, and precision.

Indexed as

Industrial MicrobiologySaccharomyces cerevisiaeBacterial LoadColony Count, MicrobialFlow CytometryMicroscopySaccharumCell countingLactic acid bacteriaMixed cultureYeast

Identifiers

PMID39251387
PMCPMC11388925

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.