Production of Ethanol from Green Coconut Fiber by Integrating Cloud Point Extraction and Simultaneous Saccharification and Fermentation.
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| Title: | Production of Ethanol from Green Coconut Fiber by Integrating Cloud Point Extraction and Simultaneous Saccharification and Fermentation. |
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| Authors: | de Araújo Padilha, Carlos Eduardo1,2 (AUTHOR) carlos.padilha.089@ufrn.edu.br, Thomas, Habila Yusuf2 (AUTHOR), dos Santos, Mariza Gabryella Brito1 (AUTHOR), Fidelis, José Dário Silva1 (AUTHOR), Silva, Lucas Felipe Simões1 (AUTHOR), de Freitas Silva, Jadna Lúcia1 (AUTHOR), de Oliveira, Gleyson Batista1 (AUTHOR), do Bonfim, Karina Soares1 (AUTHOR), dos Santos, Everaldo Silvino2 (AUTHOR), de Santana Souza, Domingos Fabiano1 (AUTHOR) |
| Source: | BioEnergy Research. Dec2024, Vol. 17 Issue 4, p2268-2281. 14p. |
| Subjects: | Artificial neural networks, Water consumption, Genetic algorithms, Phenols, Point cloud, Lignocellulose |
| Abstract: | The fermentation of whole slurry favors the increase in ethanol titers and minimizes water consumption. However, inhibitors accumulate in the liquid fraction pretreatment, reducing fermentation performance. In order to find a way out, the present study proposed an integration between cloud point extraction (CPE) and ethanol production using fiber of green coconut (GCF) as substrate. Triton X-114 was used to detoxify the liquid fraction from acid pretreatment, and optimal operating conditions were obtained by mathematical modeling. The effects of the residual surfactant from the dilute phase of CPE were analyzed in cellulase adsorption tests, enzymatic hydrolysis, and fermentation of acid-pretreated GCF. CPE promoted high removal of furans (86.23–100%) and phenolic compounds (22.79–75.15%), while the sugars migrated to the dilute phase. A neural network model coupled with a genetic algorithm obtained an optimal condition of 2.38% Triton X-114, temperature of 42 °C, pH of 4.3, and 0.55% sodium chloride. The incubation with the CPE dilute phase increased the residual activity from 25.1 to 50.1% and increased the cellulosic conversion from 32.28 to 41.15%. CPE-saccharification and simultaneous fermentation integration boosted the ethanol production to 12.40 g/L, while the untreated whole slurry reached only 6.29 g/L. Because of these results, the CPE emerges as a promising alternative to favor the full use of sugars from lignocellulosic biomass. [ABSTRACT FROM AUTHOR] |
| Copyright of BioEnergy Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 180934256 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Production of Ethanol from Green Coconut Fiber by Integrating Cloud Point Extraction and Simultaneous Saccharification and Fermentation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22de+Araújo+Padilha%2C+Carlos+Eduardo%22">de Araújo Padilha, Carlos Eduardo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> carlos.padilha.089@ufrn.edu.br</i><br /><searchLink fieldCode="AR" term="%22Thomas%2C+Habila+Yusuf%22">Thomas, Habila Yusuf</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22dos+Santos%2C+Mariza+Gabryella+Brito%22">dos Santos, Mariza Gabryella Brito</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fidelis%2C+José+Dário+Silva%22">Fidelis, José Dário Silva</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Silva%2C+Lucas+Felipe+Simões%22">Silva, Lucas Felipe Simões</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Freitas+Silva%2C+Jadna+Lúcia%22">de Freitas Silva, Jadna Lúcia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Oliveira%2C+Gleyson+Batista%22">de Oliveira, Gleyson Batista</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22do+Bonfim%2C+Karina+Soares%22">do Bonfim, Karina Soares</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22dos+Santos%2C+Everaldo+Silvino%22">dos Santos, Everaldo Silvino</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Santana+Souza%2C+Domingos+Fabiano%22">de Santana Souza, Domingos Fabiano</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22BioEnergy+Research%22">BioEnergy Research</searchLink>. Dec2024, Vol. 17 Issue 4, p2268-2281. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Water+consumption%22">Water consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Phenols%22">Phenols</searchLink><br /><searchLink fieldCode="DE" term="%22Point+cloud%22">Point cloud</searchLink><br /><searchLink fieldCode="DE" term="%22Lignocellulose%22">Lignocellulose</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The fermentation of whole slurry favors the increase in ethanol titers and minimizes water consumption. However, inhibitors accumulate in the liquid fraction pretreatment, reducing fermentation performance. In order to find a way out, the present study proposed an integration between cloud point extraction (CPE) and ethanol production using fiber of green coconut (GCF) as substrate. Triton X-114 was used to detoxify the liquid fraction from acid pretreatment, and optimal operating conditions were obtained by mathematical modeling. The effects of the residual surfactant from the dilute phase of CPE were analyzed in cellulase adsorption tests, enzymatic hydrolysis, and fermentation of acid-pretreated GCF. CPE promoted high removal of furans (86.23–100%) and phenolic compounds (22.79–75.15%), while the sugars migrated to the dilute phase. A neural network model coupled with a genetic algorithm obtained an optimal condition of 2.38% Triton X-114, temperature of 42 °C, pH of 4.3, and 0.55% sodium chloride. The incubation with the CPE dilute phase increased the residual activity from 25.1 to 50.1% and increased the cellulosic conversion from 32.28 to 41.15%. CPE-saccharification and simultaneous fermentation integration boosted the ethanol production to 12.40 g/L, while the untreated whole slurry reached only 6.29 g/L. Because of these results, the CPE emerges as a promising alternative to favor the full use of sugars from lignocellulosic biomass. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of BioEnergy Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12155-024-10776-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2268 Subjects: – SubjectFull: Artificial neural networks Type: general – SubjectFull: Water consumption Type: general – SubjectFull: Genetic algorithms Type: general – SubjectFull: Phenols Type: general – SubjectFull: Point cloud Type: general – SubjectFull: Lignocellulose Type: general Titles: – TitleFull: Production of Ethanol from Green Coconut Fiber by Integrating Cloud Point Extraction and Simultaneous Saccharification and Fermentation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: de Araújo Padilha, Carlos Eduardo – PersonEntity: Name: NameFull: Thomas, Habila Yusuf – PersonEntity: Name: NameFull: dos Santos, Mariza Gabryella Brito – PersonEntity: Name: NameFull: Fidelis, José Dário Silva – PersonEntity: Name: NameFull: Silva, Lucas Felipe Simões – PersonEntity: Name: NameFull: de Freitas Silva, Jadna Lúcia – PersonEntity: Name: NameFull: de Oliveira, Gleyson Batista – PersonEntity: Name: NameFull: do Bonfim, Karina Soares – PersonEntity: Name: NameFull: dos Santos, Everaldo Silvino – PersonEntity: Name: NameFull: de Santana Souza, Domingos Fabiano IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19391234 Numbering: – Type: volume Value: 17 – Type: issue Value: 4 Titles: – TitleFull: BioEnergy Research Type: main |
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