Mathematical modeling of drying parameters of moringa oleifera leaves in a cabinet drye

Timothy Adekanye, Abiodun Okunola, Olumuyiwa Moses, Endurance Idahosa, Yisa Boye and Aminu Saleh
Additional contact information
Timothy Adekanye: Landmark University SDG 1 (No Poverty Research Group), Omu-Aran, Kwara State, Nigeria
Abiodun Okunola: Department of Agricultural and Biosystems Engineering, College of Engineering, Landmark University, Omu-Aran, Kwara State, Nigeria
Olumuyiwa Moses: Department of Agricultural and Biosystems Engineering, College of Engineering, Landmark University, Omu-Aran, Kwara State, Nigeria
Endurance Idahosa: Department of Agricultural and Biosystems Engineering, College of Engineering, Landmark University, Omu-Aran, Kwara State, Nigeria
Yisa Boye: Department of Agricultural and Biosystems Engineering, College of Engineering, Landmark University, Omu-Aran, Kwara State, Nigeria
Aminu Saleh: Department of Agricultural and Bio-Resources Engineering, Ahmadu Bello University, Zaria, Kaduna State, Nigeria

Research in Agricultural Engineering, 2023, vol. 69, issue 4, 159-166

Abstract: This study focused on drying moringa leaves using a cabinet dryer. The impact of the 40, 50, and 60 °C drying air temperatures on the moisture content of the leaves at a constant air velocity with variation in weight (40, 80, and 120 g) was considered. Ten drying models were fitted to the drying data to describe the drying parameters of moringa leaves. The best model was chosen based on the highest coefficient of determination (R2), and the lowest sum of square error (SSE) and root mean square error (RMSE) values. The Henderson and Pabis model best described the drying characteristics of the moringa leaves having the highest R2 (0.9888) and lowest SSE (0.0401) and RMSE (0.0604). The effective moisture diffusivity increased with the temperatures ranging from 8.72 × 10-9 to 1.40 × 10-8 m2.s-1. The activation energy ranged from 90.4636, 40.4884, and 22.7466 KJ.mol-1 for 40, 80, and 120 g, respectively.

Keywords: agriculture; coefficient of determination; drying temperature; moisture diffusivity; thin layer drying (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://rae.agriculturejournals.cz/doi/10.17221/72/2022-RAE.html (text/html)
http://rae.agriculturejournals.cz/doi/10.17221/72/2022-RAE.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlrae:v:69:y:2023:i:4:id:72-2022-rae

DOI: 10.17221/72/2022-RAE

Access Statistics for this article

Research in Agricultural Engineering is currently edited by Bc. Michaela Polcarová

More articles in Research in Agricultural Engineering from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().