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|Title: ||Modeling the Kinetics of Potassium Diffusion in Estima Potato under Different Leaching Conditions|
|Authors: ||Adu-Poku, David|
Saah, Selina A.
Agbenorhevi, Jacob K.
|Issue Date: ||24-Nov-2020|
|Publisher: ||International Journal of Food Science|
|Citation: ||International Journal of Food Science Volume 2020, Article ID 1876463, 11 pages, https://doi.org/10.1155/2020/1876463|
|Abstract: ||The diffusion of potassium in potato (Solanum tuberosum) at different leaching conditions was investigated. Two modes of
pretreatment of potato samples (cubes and spheres) by preheating to 80°
C and leaching at temperatures of 20-80°
performed using a temperature- and agitation-controlled batch extractor. A Fickian model incorporating the effective diffusion
coefficient (Deff), partition coefficient (K) between the solute concentration in the potato and medium, and mass transfer
coefficient (kl) was developed to simulate and predict the fraction of potassium leached from the potato at any temperature.
Results showed significant reduction in activation energies from 92 to 25.02 kJ/mol for cubes and from 75.02 to 13.40 kJ/mol for
spheres culminating in higher extraction rates when samples were preheated to 80°
C. The Deff , K, and kl values obtained were
in the range of 0:02 − 7:33 × 10−9 m2/s, 0:63 − 8:00 × 10−2, and 0:01333:00 × 10−4 m/s, respectively. The kinetic parameters
showed a change in slope or discontinuity in the gelatinization temperature range as a function of temperature, an indication of
a change in the diffusional matrix. The optimum operating conditions were 80°
C preheating and leaching at temperatures up to
C. The proposed mathematical model offered a satisfactory description of both dynamic and equilibrium mass transfers of
potassium by adequately predicting the fraction of potassium from potato cubes and spheres. The present findings could be
useful in the pretreatment of potato for renal patients|
|Description: ||An article published in International Journal of Food Science, Volume 2020, Article ID 1876463, 11 pages, https://doi.org/10.1155/2020/1876463|
|Appears in Collections:||College of Science|
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