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Charles Tortoe
Charles Tortoe
Council for Scientific and Industrial, Research- Food Research Institute,
P. O. Box M20, Accra
Ghana
Publications
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Research Article
Multilinear Regression Approach in Predicting Osmo-Dehydration Processes of Apple, Banana and Potato
Author(s): Charles Tortoe, John Orchard and Anthony BeezerCharles Tortoe, John Orchard and Anthony Beezer
The potential for improving food quality through osmo-dehydration is tremendous but limited by quantitative data and methods. A Multiple Linear Regression (MLR) approach was developed for water loss and solid gain during osmo-dehydration of apple, banana and potato taking into account the effect of temperature, concentration, time of immersion, sample size, sample type and agitation. Temperature was the most important factor influencing osmodehydration of the plant materials whereas agitation was the least. A regression coefficient of determination (R2 = 0.886) indicating a good correlation coefficient (r = 0.941) between experimental and predicted data was identified for water loss. However, the regression coefficient of determination (R2 = 0.305) for the solid gain did not show a good regression correlation coefficient (r = 0.552) between the experimental data and the predicted data.. View More»
DOI: 10.4172/2157-7110.1000122