henhaobio
Sign in

Journal of Industrial Microbiology & BiotechnologyMicrobiologyPeer-reviewed journal article

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

Carolina Teixeira MartinsiD, Ana Paula JacobusiD, Renilson Conceição, Douglas Fernandes BarbiniD, Helena María André BoliniiD, Andreas Karoly GombertiD

PDFDOIPreprint
Citations
6
FWCI
0.57
Field percentile
top 44%

Abstract

In scenarios where yeast and bacterial cells coexist, e.g. the food and bioethanol industries, it would be 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 ([~]107, yeast cells/mL or [~]109, bacterial cells/mL) and mixed in 1:1 or 100:1 yeast-to-bacteria ratios, covering the range typically encountered in sugarcane biorefineries. The following methods were used: 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). By subjecting the same mixed cell suspension to each technique, 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>0.05). In contrast, the Coulter counter (1:1 ratio) and flow cytometry (100:1 ratio) presented results statistically different (P View larger version (25K): org.highwire.dtl.DTLVardef@875599org.highwire.dtl.DTLVardef@104b849org.highwire.dtl.DTLVardef@ded39borg.highwire.dtl.DTLVardef@11692b2_HPS_FORMAT_FIGEXP M_FIG C_FIG

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSanchez '21Rego-Costa '22Bogachev '18Illarionov '20Parratt '25Lax '22
65% semantic matchCell Biology
M. Sanchez, E. Palomba, V. Tirelli+3 more·bioRxiv·Feb 26, 2021