Literature DB >> 27757805

Using Flow Cytometry to Evaluate the Stress Physiological Response of the Yeast Saccharomyces carlsbergensis ATCC 6269 to the Presence of 5-Hydroxymethylfurfural During Ethanol Fermentations.

Teresa Lopes da Silva1, Cátia Baptista2, Alberto Reis2, Paula C Passarinho2.   

Abstract

Lignocellulosic materials have been considered low-cost effective substrates for bioethanol production. However, lignocellulosic pretreatment releases toxic compounds such as 5-hydroxymethylfurfural (HMF) that is known to inhibit the yeast growth and ethanol production. In this work, flow cytometry was used to monitor the physiological response of the yeast Saccharomyces carlsbergensis ATCC 6269 in the presence of different initial HMF concentrations within the range of 0-15 g/L, in terms of cell membrane integrity, potential, and intracellular lipids. It was observed that the HMF presence affected more significantly the yeast growth than the ethanol production. At 15 g/L HMF, the yeast growth and fermentation ability were completely inhibited. The cell membrane integrity and potential decreased as the initial HMF concentration increased. At the end of the fermentation process with 10 g/L HMF, the yeast culture contained 45 % of cells with depolarized plasma membrane, 52 % of cells with permeabilized plasma membrane, and 53 % of cells with increasing reactive oxygen species (ROS) levels. Using the Nile Red stain, it was observed that intracellular polar lipids were more affected by the initial HMF concentration than the neutral lipids, probably due to the extensive membrane damage.

Entities:  

Keywords:  Ethanol fermentation; Flow cytometry; HMF; Yeast

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Year:  2016        PMID: 27757805     DOI: 10.1007/s12010-016-2271-9

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  2 in total

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Authors:  Justyna Paszkot; Joanna Kawa-Rygielska; Mirosław Anioł
Journal:  Antioxidants (Basel)       Date:  2021-05-11

2.  Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes.

Authors:  Abhishek S Dhoble; Pratik Lahiri; Kaustubh D Bhalerao
Journal:  J Biol Eng       Date:  2018-09-12       Impact factor: 4.355

  2 in total

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