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Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification
SIMPLE SUMMARY: Over recent years, microalgae have gained attention as a potential source for bioethanol production due to their fast growth rates, ability to grow in several environments and carbohydrate content, mainly in starch form. Biomass pretreatment is considered a critical step in bioethano...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376672/ https://www.ncbi.nlm.nih.gov/pubmed/37508366 http://dx.doi.org/10.3390/biology12070935 |
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author | Oliveira, Joana Pardilhó, Sara Dias, Joana M. Pires, José C. M. |
author_facet | Oliveira, Joana Pardilhó, Sara Dias, Joana M. Pires, José C. M. |
author_sort | Oliveira, Joana |
collection | PubMed |
description | SIMPLE SUMMARY: Over recent years, microalgae have gained attention as a potential source for bioethanol production due to their fast growth rates, ability to grow in several environments and carbohydrate content, mainly in starch form. Biomass pretreatment is considered a critical step in bioethanol production since fermentable sugars are required for yeast growth. Although many studies have been conducted on the thermal acid hydrolysis of microalgae, the use of systematic methodologies, such as the response surface methodology, to obtain a comprehensive view of the influence of the studied parameters is relatively unexplored. This study evaluates the influence of acid concentration, hydrolysis time and biomass/acid ratio on the thermal acid hydrolysis of Aurantiochytrium sp. through the response surface methodology, aiming at further bioethanol production. For each of the developed models, the maximum sugar concentration and yield were 18.05 g/L and 12.86 g/100 g, respectively. This study provides insights into the hydrolysis of microalgae for bioethanol production and suggests that Aurantiochytrium sp. microalgae could be a promising feedstock for bioethanol production. ABSTRACT: Microalgae are a promising feedstock for bioethanol production, essentially due to their high growth rates and absence of lignin. Hydrolysis—where the monosaccharides are released for further fermentation—is considered a critical step, and its optimization is advised for each raw material. The present study focuses on the thermal acid hydrolysis (with sulfuric acid) of Aurantiochytrium sp. through a response surface methodology (RSM), studying the effect of acid concentration, hydrolysis time and biomass/acid ratio on both sugar concentration of the hydrolysate and biomass conversion yield. Preliminary studies allowed to establish the range of the variables to be optimized. The obtained models predicted a maximum sugar concentration (18.05 g/L; R(2) = 0.990) after 90 min of hydrolysis, using 15% (w/v) biomass/acid ratio and sulfuric acid at 3.5% (v/v), whereas the maximum conversion yield (12.86 g/100 g; R(2) = 0.876) was obtained using 9.3% (w/v) biomass/acid ratio, maintaining the other parameters. Model outputs indicate that the biomass/acid ratio and time are the most influential parameters on the sugar concentration and yield models, respectively. The study allowed to obtain a predictive model that is very well adjusted to the experimental data to find the best saccharification conditions for the Aurantiochytrium sp. microalgae. |
format | Online Article Text |
id | pubmed-10376672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103766722023-07-29 Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification Oliveira, Joana Pardilhó, Sara Dias, Joana M. Pires, José C. M. Biology (Basel) Article SIMPLE SUMMARY: Over recent years, microalgae have gained attention as a potential source for bioethanol production due to their fast growth rates, ability to grow in several environments and carbohydrate content, mainly in starch form. Biomass pretreatment is considered a critical step in bioethanol production since fermentable sugars are required for yeast growth. Although many studies have been conducted on the thermal acid hydrolysis of microalgae, the use of systematic methodologies, such as the response surface methodology, to obtain a comprehensive view of the influence of the studied parameters is relatively unexplored. This study evaluates the influence of acid concentration, hydrolysis time and biomass/acid ratio on the thermal acid hydrolysis of Aurantiochytrium sp. through the response surface methodology, aiming at further bioethanol production. For each of the developed models, the maximum sugar concentration and yield were 18.05 g/L and 12.86 g/100 g, respectively. This study provides insights into the hydrolysis of microalgae for bioethanol production and suggests that Aurantiochytrium sp. microalgae could be a promising feedstock for bioethanol production. ABSTRACT: Microalgae are a promising feedstock for bioethanol production, essentially due to their high growth rates and absence of lignin. Hydrolysis—where the monosaccharides are released for further fermentation—is considered a critical step, and its optimization is advised for each raw material. The present study focuses on the thermal acid hydrolysis (with sulfuric acid) of Aurantiochytrium sp. through a response surface methodology (RSM), studying the effect of acid concentration, hydrolysis time and biomass/acid ratio on both sugar concentration of the hydrolysate and biomass conversion yield. Preliminary studies allowed to establish the range of the variables to be optimized. The obtained models predicted a maximum sugar concentration (18.05 g/L; R(2) = 0.990) after 90 min of hydrolysis, using 15% (w/v) biomass/acid ratio and sulfuric acid at 3.5% (v/v), whereas the maximum conversion yield (12.86 g/100 g; R(2) = 0.876) was obtained using 9.3% (w/v) biomass/acid ratio, maintaining the other parameters. Model outputs indicate that the biomass/acid ratio and time are the most influential parameters on the sugar concentration and yield models, respectively. The study allowed to obtain a predictive model that is very well adjusted to the experimental data to find the best saccharification conditions for the Aurantiochytrium sp. microalgae. MDPI 2023-06-29 /pmc/articles/PMC10376672/ /pubmed/37508366 http://dx.doi.org/10.3390/biology12070935 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Oliveira, Joana Pardilhó, Sara Dias, Joana M. Pires, José C. M. Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification |
title | Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification |
title_full | Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification |
title_fullStr | Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification |
title_full_unstemmed | Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification |
title_short | Microalgae to Bioenergy: Optimization of Aurantiochytrium sp. Saccharification |
title_sort | microalgae to bioenergy: optimization of aurantiochytrium sp. saccharification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376672/ https://www.ncbi.nlm.nih.gov/pubmed/37508366 http://dx.doi.org/10.3390/biology12070935 |
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