Modelling and Optimization of Process Parameters for Strawberry Osmotic Dehydration Using Central Composite Rotatable Design

Joint Authors

Liu, Bei
Peng, Bangzhu

Source

Journal of Food Quality

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-08-01

Country of Publication

Egypt

No. of Pages

7

Abstract EN

Osmotic dehydration conditions for strawberry were optimized using central composite rotatable design.

The optimal conditions included osmotic dehydration temperature of 59.5°C, osmotic dehydration time of 245.6 min, and sorbitol concentration of 66.8%.

Water loss (WL) exhibited a response value of 52.5% and was mainly influenced by sorbitol concentration (p≤0.01), followed by osmotic dehydration temperature (p≤0.01) and time (p≤0.01).

The optimal condition was validated and found to be fitted well with the experimental data.

The osmotic dehydration of strawberry was significantly influenced by osmotic dehydration temperature and time and sorbitol concentration.

Based on the parameters of ANOVA, the predicted model for WL rate established by response surface quadratic regression provided an adequate mathematical description of the osmotic dehydration of strawberry.

American Psychological Association (APA)

Liu, Bei& Peng, Bangzhu. 2017. Modelling and Optimization of Process Parameters for Strawberry Osmotic Dehydration Using Central Composite Rotatable Design. Journal of Food Quality،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1175791

Modern Language Association (MLA)

Liu, Bei& Peng, Bangzhu. Modelling and Optimization of Process Parameters for Strawberry Osmotic Dehydration Using Central Composite Rotatable Design. Journal of Food Quality No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1175791

American Medical Association (AMA)

Liu, Bei& Peng, Bangzhu. Modelling and Optimization of Process Parameters for Strawberry Osmotic Dehydration Using Central Composite Rotatable Design. Journal of Food Quality. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1175791

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1175791