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Artículo

Optimization of Enzymatic Degumming Process for Sunflower Oil using Response Surface Methodology: Efficiency and Oil Yield

Lamas, Daniela LorenaIcon ; Constenla, Diana TeresitaIcon ; Ceci, Liliana Noemí
Fecha de publicación: 04/2022
Editorial: Dr Jyoti Garg
Revista: Research Journal Of Chemistry And Environment
ISSN: 0972-0626
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ingeniería de Procesos Químicos

Resumen

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.
Palabras clave: ENZYMATIC DEGUMMING , EXPERIMENTAL DESIGN , OIL YIELD , OPTIMIZATION , RESPONSE SURFACE METHODOLOGY
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/205481
DOI: http://dx.doi.org/10.25303/2604rjce0110
URL: https://worldresearchersassociations.com/Archives/RJCE/Vol(26)2022/April%202022/
Colecciones
Articulos(PLAPIQUI)
Articulos de PLANTA PILOTO DE INGENIERIA QUIMICA (I)
Citación
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
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