Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leaves
In this study, the oven drying behaviour, as well as changes in the morphological appearance of Vernonia amygdalina leaves before and after drying were investigated. The drying experiments were conducted using a universal oven. Vernonia amygdalina leaves were dried at 40, 50 and 60 °C air temperatur...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2019-07-01
|
| Series: | Journal of the Saudi Society of Agricultural Sciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1658077X17301959 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849314374122995712 |
|---|---|
| author | O.R. Alara N.H. Abdurahman O.A. Olalere |
| author_facet | O.R. Alara N.H. Abdurahman O.A. Olalere |
| author_sort | O.R. Alara |
| collection | DOAJ |
| description | In this study, the oven drying behaviour, as well as changes in the morphological appearance of Vernonia amygdalina leaves before and after drying were investigated. The drying experiments were conducted using a universal oven. Vernonia amygdalina leaves were dried at 40, 50 and 60 °C air temperatures. During the drying processes, the air flow rate was held at 1 m/s2 and the samples spread on the drying trays were placed parallel to the direction of air flow. The obtained data were fitted to eleven different mathematical drying models. Four statistical tools, viz, correlation coefficient, mean bias error, sum of the square error, and reduced chi-square were used to analyse the fittings. Amongst the considered drying models, Midilli-Kucuk drying model showed the best fitting in describing the drying behaviour of Vernonia amygdalina leaves. In addition, the effective diffusivities for the three air temperatures ranged from 4.55 × 10−12 to 5.48 × 10−12 m2/s with the activation energy of 8.048 kJ/mol. Moreover, to evaluate the effect of drying conditions on the morphological changes of Vernonia amygdalina leaves, fresh and dried leaves under different conditions were compared. Thus, drying conditions had effects on microstructure of Vernonia amygdalina leaves. Keywords: Drying, Mathematical models, Morphology, Vernonia amygdalina |
| format | Article |
| id | doaj-art-e618c6d4fff6430f97e260d26ac5b8a6 |
| institution | Kabale University |
| issn | 1658-077X |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Journal of the Saudi Society of Agricultural Sciences |
| spelling | doaj-art-e618c6d4fff6430f97e260d26ac5b8a62025-08-20T03:52:28ZengSpringerJournal of the Saudi Society of Agricultural Sciences1658-077X2019-07-0118330931510.1016/j.jssas.2017.09.003Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leavesO.R. Alara0N.H. Abdurahman1O.A. Olalere2Corresponding author.; Faculty of Chemical Engineering & Natural Resources, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Pahang, MalaysiaFaculty of Chemical Engineering & Natural Resources, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Pahang, MalaysiaFaculty of Chemical Engineering & Natural Resources, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Pahang, MalaysiaIn this study, the oven drying behaviour, as well as changes in the morphological appearance of Vernonia amygdalina leaves before and after drying were investigated. The drying experiments were conducted using a universal oven. Vernonia amygdalina leaves were dried at 40, 50 and 60 °C air temperatures. During the drying processes, the air flow rate was held at 1 m/s2 and the samples spread on the drying trays were placed parallel to the direction of air flow. The obtained data were fitted to eleven different mathematical drying models. Four statistical tools, viz, correlation coefficient, mean bias error, sum of the square error, and reduced chi-square were used to analyse the fittings. Amongst the considered drying models, Midilli-Kucuk drying model showed the best fitting in describing the drying behaviour of Vernonia amygdalina leaves. In addition, the effective diffusivities for the three air temperatures ranged from 4.55 × 10−12 to 5.48 × 10−12 m2/s with the activation energy of 8.048 kJ/mol. Moreover, to evaluate the effect of drying conditions on the morphological changes of Vernonia amygdalina leaves, fresh and dried leaves under different conditions were compared. Thus, drying conditions had effects on microstructure of Vernonia amygdalina leaves. Keywords: Drying, Mathematical models, Morphology, Vernonia amygdalinahttp://www.sciencedirect.com/science/article/pii/S1658077X17301959 |
| spellingShingle | O.R. Alara N.H. Abdurahman O.A. Olalere Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leaves Journal of the Saudi Society of Agricultural Sciences |
| title | Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leaves |
| title_full | Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leaves |
| title_fullStr | Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leaves |
| title_full_unstemmed | Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leaves |
| title_short | Mathematical modelling and morphological properties of thin layer oven drying of Vernonia amygdalina leaves |
| title_sort | mathematical modelling and morphological properties of thin layer oven drying of vernonia amygdalina leaves |
| url | http://www.sciencedirect.com/science/article/pii/S1658077X17301959 |
| work_keys_str_mv | AT oralara mathematicalmodellingandmorphologicalpropertiesofthinlayerovendryingofvernoniaamygdalinaleaves AT nhabdurahman mathematicalmodellingandmorphologicalpropertiesofthinlayerovendryingofvernoniaamygdalinaleaves AT oaolalere mathematicalmodellingandmorphologicalpropertiesofthinlayerovendryingofvernoniaamygdalinaleaves |