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A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage
Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to evaluat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366221/ https://www.ncbi.nlm.nih.gov/pubmed/30800340 http://dx.doi.org/10.1098/rsos.180718 |
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author | Roscini, Luca Favaro, Lorenzo Corte, Laura Cagnin, Lorenzo Colabella, Claudia Basaglia, Marina Cardinali, Gianluigi Casella, Sergio |
author_facet | Roscini, Luca Favaro, Lorenzo Corte, Laura Cagnin, Lorenzo Colabella, Claudia Basaglia, Marina Cardinali, Gianluigi Casella, Sergio |
author_sort | Roscini, Luca |
collection | PubMed |
description | Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to evaluate the toxicity of lignocellulosic stillage. Two weak acids and furans, most frequently found in lignocellulosic stillage, have been tested in different mixtures against three Saccharomyces cerevisiae strains. The metabolomic reaction of the test microbes and the mortality induced at various levels of inhibitor concentration showed that the strains are representative of three different types of response. Furthermore, the relationship between concentrations and FTIR synthetic stress indexes has been studied, with the aim of defining a model able to predict the concentrations of inhibitors in stillage, resulting in an optimized predictive model for all the strains. This approach represents a promising tool to support the ecotoxicological management of lignocellulosic stillage. |
format | Online Article Text |
id | pubmed-6366221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-63662212019-02-22 A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage Roscini, Luca Favaro, Lorenzo Corte, Laura Cagnin, Lorenzo Colabella, Claudia Basaglia, Marina Cardinali, Gianluigi Casella, Sergio R Soc Open Sci Biology (Whole Organism) Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to evaluate the toxicity of lignocellulosic stillage. Two weak acids and furans, most frequently found in lignocellulosic stillage, have been tested in different mixtures against three Saccharomyces cerevisiae strains. The metabolomic reaction of the test microbes and the mortality induced at various levels of inhibitor concentration showed that the strains are representative of three different types of response. Furthermore, the relationship between concentrations and FTIR synthetic stress indexes has been studied, with the aim of defining a model able to predict the concentrations of inhibitors in stillage, resulting in an optimized predictive model for all the strains. This approach represents a promising tool to support the ecotoxicological management of lignocellulosic stillage. The Royal Society 2019-01-16 /pmc/articles/PMC6366221/ /pubmed/30800340 http://dx.doi.org/10.1098/rsos.180718 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Biology (Whole Organism) Roscini, Luca Favaro, Lorenzo Corte, Laura Cagnin, Lorenzo Colabella, Claudia Basaglia, Marina Cardinali, Gianluigi Casella, Sergio A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage |
title | A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage |
title_full | A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage |
title_fullStr | A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage |
title_full_unstemmed | A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage |
title_short | A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage |
title_sort | yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage |
topic | Biology (Whole Organism) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366221/ https://www.ncbi.nlm.nih.gov/pubmed/30800340 http://dx.doi.org/10.1098/rsos.180718 |
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