Artículo
Optimization of mucilage extraction from chia seeds (Salvia hispanica L.) using response surface methodology
Fecha de publicación:
09/2018
Editorial:
John Wiley & Sons Ltd
Revista:
Journal of the Science of Food and Agriculture
ISSN:
0022-5142
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
BACKGROUND: Chia mucilage has potential application as a functional ingredient; advances on maximizing its extraction yield could represent a significant technological and economic impact for the food industry. Thus, first, the effect of mechanical agitation time (1–3 h) on the exudation of chia mucilage was analyzed. Then, response surface methodology was used to determine the optimal combination of the independent variables temperature (15–85 °C) and seed: water ratio (1: 12–1: 40.8 w/v) for the 2 h exudation that give maximum chia mucilage yield. Experiments were designed according to central composite rotatable design. RESULTS: A second-order polynomial model predicted the variation in extraction mucilage yield with the variables temperature and seed: water ratio. The optimal operating conditions were found to be temperature 85 °C and a seed: water ratio of 1: 31 (w/v), reaching an experimental extraction yield of 116 ± 0.21 g kg−1 (dry basis). The mucilage obtained exhibited good functional properties, mainly in terms of water-holding capacity, emulsifying activity, and emulsion stability. CONCLUSION: The results obtained show that temperature, seed: water ratio, and exudation time are important variables of the process that affect the extraction yield and the quality of the chia mucilage, determined according to its physicochemical and functional properties.
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Identificadores
Colecciones
Articulos(CCT - TANDIL)
Articulos de CTRO CIENTIFICO TECNOLOGICO CONICET - TANDIL
Articulos de CTRO CIENTIFICO TECNOLOGICO CONICET - TANDIL
Citación
Orifici, Stefania C.; Capitani, Marianela Ivana; Tomás, Mabel Cristina; Nolasco, Susana Maria; Optimization of mucilage extraction from chia seeds (Salvia hispanica L.) using response surface methodology; John Wiley & Sons Ltd; Journal of the Science of Food and Agriculture; 98; 12; 9-2018; 4495-4500
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