Modeling and optimization of bioethanol production yield from corn starch using response surface methodology.
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| Title: | Modeling and optimization of bioethanol production yield from corn starch using response surface methodology. |
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| Authors: | Alalyani, Salim Rashid Salim1 (AUTHOR), Lakkimsetty, Nageswara Rao1 (AUTHOR) nageswararao@nu.edu.om, Shaik, Feroz2 (AUTHOR), Varghese, M J1 (AUTHOR) |
| Source: | Environment, Development & Sustainability. Sep2025, Vol. 27 Issue 9, p22731-22748. 18p. |
| Subject Terms: | *Cornstarch, *Ethanol as fuel, *Biomass energy, *Mathematical optimization, *Chemical yield, *Renewable natural resources, *Response surfaces (Statistics), *Sustainability |
| Abstract: | The demand for alternate fuels/biofuels is increasing rapidly to counter the adverse economic and environmental impacts created by conventional fossil fuels. The production of biofuels from various natural raw materials is gaining importance due to sustainability from renewable resources. Ethanol is widely used biofuel, manufactured from natural raw materials. In this work, bioethanol was produced from corn starch. Various factors that influence the production of bioethanol such as substrate loading, temperature, pH, reaction time, enzyme titer were studied. The maximum bioethanol yield (97.3%) was achieved at the substrate loading = 40% w/v, temperature = 55 °C, reaction time = 5 h, pH = 6, enzyme titer = 25 IU/mL. A central composite design (CCD) using response surface methodology (RSM) was employed to optimize the influencing factors for the bioethanol production yield. Optimization of these factors was able to achieve 98.3% of bioethanol yield at the process conditions of substrate loading = 30.4 w/v, temperature = 55.8 °C, reaction time = 5.2 h, pH = 5.2, and enzyme titer = 29.2 IU/mL. The experimental optimum values were in good agreement with predicted values from RSM. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 188151260 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modeling and optimization of bioethanol production yield from corn starch using response surface methodology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alalyani%2C+Salim+Rashid+Salim%22">Alalyani, Salim Rashid Salim</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lakkimsetty%2C+Nageswara+Rao%22">Lakkimsetty, Nageswara Rao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> nageswararao@nu.edu.om</i><br /><searchLink fieldCode="AR" term="%22Shaik%2C+Feroz%22">Shaik, Feroz</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Varghese%2C+M+J%22">Varghese, M J</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Sep2025, Vol. 27 Issue 9, p22731-22748. 18p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Cornstarch%22">Cornstarch</searchLink><br />*<searchLink fieldCode="DE" term="%22Ethanol+as+fuel%22">Ethanol as fuel</searchLink><br />*<searchLink fieldCode="DE" term="%22Biomass+energy%22">Biomass energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Chemical+yield%22">Chemical yield</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+natural+resources%22">Renewable natural resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The demand for alternate fuels/biofuels is increasing rapidly to counter the adverse economic and environmental impacts created by conventional fossil fuels. The production of biofuels from various natural raw materials is gaining importance due to sustainability from renewable resources. Ethanol is widely used biofuel, manufactured from natural raw materials. In this work, bioethanol was produced from corn starch. Various factors that influence the production of bioethanol such as substrate loading, temperature, pH, reaction time, enzyme titer were studied. The maximum bioethanol yield (97.3%) was achieved at the substrate loading = 40% w/v, temperature = 55 °C, reaction time = 5 h, pH = 6, enzyme titer = 25 IU/mL. A central composite design (CCD) using response surface methodology (RSM) was employed to optimize the influencing factors for the bioethanol production yield. Optimization of these factors was able to achieve 98.3% of bioethanol yield at the process conditions of substrate loading = 30.4 w/v, temperature = 55.8 °C, reaction time = 5.2 h, pH = 5.2, and enzyme titer = 29.2 IU/mL. The experimental optimum values were in good agreement with predicted values from RSM. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=188151260 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-023-02990-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 22731 Subjects: – SubjectFull: Cornstarch Type: general – SubjectFull: Ethanol as fuel Type: general – SubjectFull: Biomass energy Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Chemical yield Type: general – SubjectFull: Renewable natural resources Type: general – SubjectFull: Response surfaces (Statistics) Type: general – SubjectFull: Sustainability Type: general Titles: – TitleFull: Modeling and optimization of bioethanol production yield from corn starch using response surface methodology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alalyani, Salim Rashid Salim – PersonEntity: Name: NameFull: Lakkimsetty, Nageswara Rao – PersonEntity: Name: NameFull: Shaik, Feroz – PersonEntity: Name: NameFull: Varghese, M J IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 27 – Type: issue Value: 9 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
| ResultId | 1 |