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Quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles

For industrial processes, a fast, precise, and reliable method of determining the physiological state of yeast cells, especially viability, is essential. However, an increasing number of processes use magnetic nanoparticles (MNPs) for yeast cell manipulation, but their impact on yeast cell viability...

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Autores principales: Eigenfeld, Marco, Wittmann, Leonie, Kerpes, Roland, Schwaminger, Sebastian, Becker, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287788/
https://www.ncbi.nlm.nih.gov/pubmed/37083758
http://dx.doi.org/10.1007/s00216-023-04676-w
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author Eigenfeld, Marco
Wittmann, Leonie
Kerpes, Roland
Schwaminger, Sebastian
Becker, Thomas
author_facet Eigenfeld, Marco
Wittmann, Leonie
Kerpes, Roland
Schwaminger, Sebastian
Becker, Thomas
author_sort Eigenfeld, Marco
collection PubMed
description For industrial processes, a fast, precise, and reliable method of determining the physiological state of yeast cells, especially viability, is essential. However, an increasing number of processes use magnetic nanoparticles (MNPs) for yeast cell manipulation, but their impact on yeast cell viability and the assay itself is unclear. This study tested the viability of Saccharomyces pastorianus ssp. carlsbergensis and Pichia pastoris by comparing traditional colourimetric, high-throughput, and growth assays with membrane fluidity. Results showed that methylene blue staining is only reliable for S. pastorianus cells with good viability, being erroneous in low viability (R(2) = 0.945; [Formula: see text] = 5.78%). In comparison, the fluorescence microscopy–based assay of S. pastorianus demonstrated a coefficient of determination of R(2) = 0.991 at [Formula: see text] ([Formula: see text] = 2.50%) and flow cytometric viability determination using carboxyfluorescein diacetate (CFDA), enabling high-throughput analysis of representative cell numbers; R(2) = 0.972 ([Formula: see text] ; [Formula: see text] = 3.89%). Membrane fluidity resulted in a non-linear relationship with the viability of the yeast cells ([Formula: see text] ). We also determined similar results using P. pastoris yeast. In addition, we demonstrated that MNPs affected methylene blue staining by overestimating viability. The random forest model has been shown to be a precise method for classifying nanoparticles and yeast cells and viability differentiation in flow cytometry by using CFDA. Moreover, CFDA and membrane fluidity revealed precise results for both yeasts, also in the presence of nanoparticles, enabling fast and reliable determination of viability in many experiments using MNPs for yeast cell manipulation or separation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-023-04676-w.
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spelling pubmed-102877882023-06-24 Quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles Eigenfeld, Marco Wittmann, Leonie Kerpes, Roland Schwaminger, Sebastian Becker, Thomas Anal Bioanal Chem Research Paper For industrial processes, a fast, precise, and reliable method of determining the physiological state of yeast cells, especially viability, is essential. However, an increasing number of processes use magnetic nanoparticles (MNPs) for yeast cell manipulation, but their impact on yeast cell viability and the assay itself is unclear. This study tested the viability of Saccharomyces pastorianus ssp. carlsbergensis and Pichia pastoris by comparing traditional colourimetric, high-throughput, and growth assays with membrane fluidity. Results showed that methylene blue staining is only reliable for S. pastorianus cells with good viability, being erroneous in low viability (R(2) = 0.945; [Formula: see text] = 5.78%). In comparison, the fluorescence microscopy–based assay of S. pastorianus demonstrated a coefficient of determination of R(2) = 0.991 at [Formula: see text] ([Formula: see text] = 2.50%) and flow cytometric viability determination using carboxyfluorescein diacetate (CFDA), enabling high-throughput analysis of representative cell numbers; R(2) = 0.972 ([Formula: see text] ; [Formula: see text] = 3.89%). Membrane fluidity resulted in a non-linear relationship with the viability of the yeast cells ([Formula: see text] ). We also determined similar results using P. pastoris yeast. In addition, we demonstrated that MNPs affected methylene blue staining by overestimating viability. The random forest model has been shown to be a precise method for classifying nanoparticles and yeast cells and viability differentiation in flow cytometry by using CFDA. Moreover, CFDA and membrane fluidity revealed precise results for both yeasts, also in the presence of nanoparticles, enabling fast and reliable determination of viability in many experiments using MNPs for yeast cell manipulation or separation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-023-04676-w. Springer Berlin Heidelberg 2023-04-21 2023 /pmc/articles/PMC10287788/ /pubmed/37083758 http://dx.doi.org/10.1007/s00216-023-04676-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Paper
Eigenfeld, Marco
Wittmann, Leonie
Kerpes, Roland
Schwaminger, Sebastian
Becker, Thomas
Quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles
title Quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles
title_full Quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles
title_fullStr Quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles
title_full_unstemmed Quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles
title_short Quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles
title_sort quantification methods of determining brewer’s and pharmaceutical yeast cell viability: accuracy and impact of nanoparticles
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287788/
https://www.ncbi.nlm.nih.gov/pubmed/37083758
http://dx.doi.org/10.1007/s00216-023-04676-w
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