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Optimization of processing time, amplitude and concentration for ultrasound-assisted modification of whey protein using response surface methodology.
Khatkar, Anju Boora; Kaur, Amarjeet; Khatkar, Sunil Kumar; Mehta, Nitin.
Afiliação
  • Khatkar AB; 1Department of Food Science & Technology, Punjab Agricultural University, Ludhiana, 141004 Punjab India.
  • Kaur A; 1Department of Food Science & Technology, Punjab Agricultural University, Ludhiana, 141004 Punjab India.
  • Khatkar SK; 2Department of Dairy Technology, College of Dairy Science and Technology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, India.
  • Mehta N; 3Department of Livestock Products Technology, College of Veterinary Sciences, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, India.
J Food Sci Technol ; 55(6): 2298-2309, 2018 Jun.
Article em En | MEDLINE | ID: mdl-29892130
ABSTRACT
Response surface methodology was used to optimize processing variable for ultrasound-assisted modification of whey protein. The process was optimized employing Box-Behnken Design with three independent variables i.e. amplitude (20-40%), time (10-20 min) and concentration (10-15%). A second order model was employed to generate response surfaces. Experimental results revealed that analyzed model solutions exhibited the significant influence on various responses signified that the applied statistical model fitted well. The optimized independent variables were found to be 19.77 min time, 20.02% amplitude and 12.78% concentration of feed. The modified whey protein had the solubility, 78.52%; heat stability, 1076.19 s; water solubility index, 92.30%; water holding capacity, 0.469; oil absorption capacity, 1.709; foaming capacity 92.27; foam stability, 27.71 and firmness, 1692.09 g. Analytical response revealed that solubility of modified whey protein exhibited significant positive correlation with water solubility index, emulsion stability index and firmness.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Food Sci Technol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Food Sci Technol Ano de publicação: 2018 Tipo de documento: Article