Effect of high-pressure processing on quality and stability of green mango blended mayonnaise
Autor: | Om Prakash Chauhan, Rahul K. Anurag, Swati Sethi |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
030109 nutrition & dietetics biology Chemistry Pulp (paper) 04 agricultural and veterinary sciences engineering.material biology.organism_classification 040401 food science Pascalization 03 medical and health sciences Creaming 0404 agricultural biotechnology High pressure Emulsion engineering Original Article Response surface methodology Food science Peroxide value Food Science Green mango |
Zdroj: | Journal of Food Science and Technology. 54:2341-2350 |
ISSN: | 0975-8402 0022-1155 |
DOI: | 10.1007/s13197-017-2674-9 |
Popis: | The present work was aimed to study and optimize the high pressure treated green mango blended mayonnaise in terms of oxidative and emulsion stability, as a function of technical parameters; pressure intensity, dwell period and level of green mango pulp. Mayonnaise samples were treated at different combinations of pressure (400–600 MPa), holding time (5–10 min) and level of green mango pulp (10–30%) following Box–Behnken design. Mayonnaise quality was evaluated in terms of oxidative stability and emulsion stability using response surface methodology to optimize the best possible combination among all. Analysis of variance showed that the second-order polynomial model fitted well with the experimental results. Pressure and time were the most important factors determining the oxidative stability (free fatty acids, peroxide value and anisidine value) whereas; the emulsion stability (creaming and thermal creaming) was most significantly affected by the level of green mango pulp. The optimized conditions for preparing green mango blended mayonnaise with high oxidative and emulsion stability were: 435 MPa pressure, 5 min of holding time with the addition of green mango pulp at the rate of 28%. The product prepared at optimum conditions showed good correlations between predicted and actual values. |
Databáze: | OpenAIRE |
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