Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves

The drying behavior of Vernonia amygdalina leaves was investigated using open sun and shade drying. The effective diffusivity coefficients for both methods were evaluated. Eight drying kinetics models were fitted to the experimental data obtained from the two drying methods; the goodness of fit was...

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Main Authors:	Alara, Oluwaseun Ruth, Nour, A. H., Siti Kholijah, Abdul Mudalip, Olalere, Olusegun Abayomi
Format:	Article
Language:	English
Published:	Elsevier 2018
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/21929/ http://umpir.ump.edu.my/id/eprint/21929/ http://umpir.ump.edu.my/id/eprint/21929/ http://umpir.ump.edu.my/id/eprint/21929/1/DJ10.pdf

id	ump-21929
recordtype	eprints
spelling	ump-219292019-09-10T04:05:51Z http://umpir.ump.edu.my/id/eprint/21929/ Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves Alara, Oluwaseun Ruth Nour, A. H. Siti Kholijah, Abdul Mudalip Olalere, Olusegun Abayomi TP Chemical technology The drying behavior of Vernonia amygdalina leaves was investigated using open sun and shade drying. The effective diffusivity coefficients for both methods were evaluated. Eight drying kinetics models were fitted to the experimental data obtained from the two drying methods; the goodness of fit was evaluated using three statistical tools, and the best model was selected. The Midilli and Kucuk model, which gave higher values of the coefficient of determination and lower values of the reduced chi-square and root mean square error was considered the best for predicting the drying behavior of open sun-dried and shade-dried V. amygdalina leaves with values of R of 0.99951 and 0.99981, RMSE of 0.00243 and 0.00253 and reduced chi-square of 0.000511 and 0.000428, respectively. The values of the effective diffusivity coefficients for open sun and shade drying were 26.58 × 10−10 m2/s and 52.77 × 10−11 m2/s, respectively. Furthermore, open sun drying resulted in severe deformity of the leaf morphology which may lead to degradation of the phytochemicals. Thus, shade drying was the better way of drying V. amygdalina leaves to preserve the nutrients compared to open sun drying. Elsevier 2018 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/21929/1/DJ10.pdf Alara, Oluwaseun Ruth and Nour, A. H. and Siti Kholijah, Abdul Mudalip and Olalere, Olusegun Abayomi (2018) Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves. Agriculture and Natural Resources, 52. pp. 53-58. ISSN 2452-316X https://doi.org/10.1016/j.anres.2018.05.013 https://doi.org/10.1016/j.anres.2018.05.013
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Alara, Oluwaseun Ruth Nour, A. H. Siti Kholijah, Abdul Mudalip Olalere, Olusegun Abayomi Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves
description	The drying behavior of Vernonia amygdalina leaves was investigated using open sun and shade drying. The effective diffusivity coefficients for both methods were evaluated. Eight drying kinetics models were fitted to the experimental data obtained from the two drying methods; the goodness of fit was evaluated using three statistical tools, and the best model was selected. The Midilli and Kucuk model, which gave higher values of the coefficient of determination and lower values of the reduced chi-square and root mean square error was considered the best for predicting the drying behavior of open sun-dried and shade-dried V. amygdalina leaves with values of R of 0.99951 and 0.99981, RMSE of 0.00243 and 0.00253 and reduced chi-square of 0.000511 and 0.000428, respectively. The values of the effective diffusivity coefficients for open sun and shade drying were 26.58 × 10−10 m2/s and 52.77 × 10−11 m2/s, respectively. Furthermore, open sun drying resulted in severe deformity of the leaf morphology which may lead to degradation of the phytochemicals. Thus, shade drying was the better way of drying V. amygdalina leaves to preserve the nutrients compared to open sun drying.
format	Article
author	Alara, Oluwaseun Ruth Nour, A. H. Siti Kholijah, Abdul Mudalip Olalere, Olusegun Abayomi
author_facet	Alara, Oluwaseun Ruth Nour, A. H. Siti Kholijah, Abdul Mudalip Olalere, Olusegun Abayomi
author_sort	Alara, Oluwaseun Ruth
title	Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves
title_short	Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves
title_full	Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves
title_fullStr	Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves
title_full_unstemmed	Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves
title_sort	mathematical modeling of thin layer drying using open sun and shade of vernonia amygdalina leaves
publisher	Elsevier
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21929/ http://umpir.ump.edu.my/id/eprint/21929/ http://umpir.ump.edu.my/id/eprint/21929/ http://umpir.ump.edu.my/id/eprint/21929/1/DJ10.pdf
first_indexed	2023-09-18T22:32:24Z
last_indexed	2023-09-18T22:32:24Z
_version_	1777416373090123776

Mathematical modeling of thin layer drying using open sun and shade of Vernonia amygdalina leaves

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