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dc.contributor.author
Lamas, Daniela Lorena  
dc.contributor.author
Constenla, Diana Teresita  
dc.contributor.author
Ceci, Liliana Noemí  
dc.date.available
2023-07-25T20:28:02Z  
dc.date.issued
2022-04  
dc.identifier.citation
Lamas, Daniela Lorena; Constenla, Diana Teresita; Ceci, Liliana Noemí; Optimization of Enzymatic Degumming Process for Sunflower Oil using Response Surface Methodology: Efficiency and Oil Yield; Dr Jyoti Garg; Research Journal Of Chemistry And Environment; 26; 4; 4-2022; 1-10  
dc.identifier.issn
0972-0626  
dc.identifier.uri
http://hdl.handle.net/11336/205481  
dc.description.abstract
Response surface methodology was used to study the optimum processing conditions for enzymatic degumming of sunflower oil. Degumming assays were performed using a phospholipase A1 (Lecitase® Ultra) and an acyltransferase (LysoMax® Oil). A 2k-1 fractional factorial design was carried out to simultaneously study the effects of pH, temperature, enzyme concentration, buffer/substrate ratio and time on the phosphorus content. For the response obtained, a polynomial model was developed through multiple linear regression analysis. Lecitase® Ultra was affected by all studied factors while the buffer/substrate ratio did not significantly influence the performance of LysoMax® Oil. The optimum conditions to achieve the lowest phosphorus content were reached at 50 °C, pH 5 and an enzyme dosage of 200 U/kg of oil during 90 minutes using Lecitase® Ultra and 59 °C, pH 5.9 and an enzyme dosage of 197 U/kg of oil during 89 minutes using LysoMax® Oil. Under optimal conditions, the phosphorus content decreased to less than 3 mg/kg with both enzymes. The oil yield was 96.80 g/100g and 96.85 g/100g with the treatment using phospholipase A1 and acyltransferase respectively.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Dr Jyoti Garg  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ENZYMATIC DEGUMMING  
dc.subject
EXPERIMENTAL DESIGN  
dc.subject
OIL YIELD  
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OPTIMIZATION  
dc.subject
RESPONSE SURFACE METHODOLOGY  
dc.subject.classification
Ingeniería de Procesos Químicos  
dc.subject.classification
Ingeniería Química  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Optimization of Enzymatic Degumming Process for Sunflower Oil using Response Surface Methodology: Efficiency and Oil Yield  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-07-07T18:26:33Z  
dc.journal.volume
26  
dc.journal.number
4  
dc.journal.pagination
1-10  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Lamas, Daniela Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.description.fil
Fil: Constenla, Diana Teresita. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina  
dc.description.fil
Fil: Ceci, Liliana Noemí. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina  
dc.journal.title
Research Journal Of Chemistry And Environment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.25303/2604rjce0110  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://worldresearchersassociations.com/Archives/RJCE/Vol(26)2022/April%202022/Optimization%20of%20Enzymatic%20Degumming%20Process%20for%20Sunflower%20Oil%20using.aspx