CJFST.2021.13.1.06

Original scientific paper                                                                                                                                                  DOI: 10.17508/CJFST.2021.13.1.06

Modeling of thin layer drying characteristics of blanch-assisted water yam (Dioscorea alata) slices

https://orcid.org/0000-0002-6729-1637Adebimpe Fatimat Okeleye*, Charles Taiwo Akanbi, Tunde Afolabi Morakinyo

Department of Food Science and Technology Obafemi Awolowo University, Ile-Ife, Nigeria

ARTICLE INFO ABSTRACT
Article history:
Received: March 16, 2020
Accepted: August 3, 2020
The thin layer drying characteristics of blanch-assisted water yam slices were investigated with respect to its un-blanched water yam slices in a convective hot air oven. The yam slices (diameter 4 cm; thickness 0.8 cm) were dried at temperatures 50, 60 and 70 °C, respectively with a constant air velocity of 0.13 m/s. The drying data obtained were fitted into six existing drying models: Page, Newton, Midilli, Henderson and Pabis, Logarithmic and Diffusion model. Non-linear regression analysis was used to determine the model parameters; the coefficient of determination (R2) and standard error of estimates (SEE) in order to determine the model best fit. The study showed that the drying process occurred in the falling rate drying period. The blanch-assisted slices had a faster drying rate than the un-blanched yam slices. Among the models, the diffusion model gave the overall best fit for the drying data obtained. The effective moisture diffusivity ranged from 3.1810-8 to 4.4710-8 m2/s for the blanch-assisted slices and from 4.7310-8 to 7.3310-8 m2/s for the un-blanched slices. The activation energies of the blanch-assisted and un-blanched yam slices were 15.5 kJ/mol and 20.1 kJ/mol, respectively. These processing conditions obtained for water yam flour would be suitable for its process design and control thereby enhancing its utilization and overall acceptability.
Keywords:
water yam slices
drying kinetics
drying models
process design
acceptability