Mathematical modeling of microwave dried celery leaves and determination of the effective moisture diffusivities and activation energy
| dc.creator | Ilknur ALIBAS | |
| dc.date | 2014 | |
| dc.date.accessioned | 2026-07-07T04:17:43Z | |
| dc.description | Celery (Apium graveolens L. var. secalinum Alef) leaves with 50±0.07 g weight and 91.75±0.15% humidity (~11.21 db) were dried using 8 different microwave power densities ranging between 1.8-20 W g–1, until the humidity fell down to 8.95±0.23% (~0.1 db). Microwave drying processes were completed between 5.5 and 77 min depending on the microwave power densities. In this study, measured values were compared with predicted values obtained from twenty thin layer drying theoretical, semi-empirical and empirical equations with a new thin layer drying equation. Within applied microwave power density; models whose coefficient and correlation (R2) values are highest were chosen as the best models. Weibull distribution model gave the most suitable predictions at all power density. At increasing microwave power densities, the effective moisture diffusivity values ranged from 1.595 10–10 to 6.377 10–12 m2 s–1. The activation energy was calculated using an exponential expression based on Arrhenius equation. The linear relationship between the drying rate constant and effective moisture diffusivity gave the best fit. | |
| dc.format | application/pdf | |
| dc.identifier | 0101-2061 | |
| dc.identifier | https://www.redalyc.org/articulo.oa?id=395940095026 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/456778 | |
| dc.language | en | |
| dc.publisher | Sociedade Brasileira de Ciência e Tecnologia de Alimentos | |
| dc.relation | http://www.redalyc.org/revista.oa?id=3959 | |
| dc.rights | Ciência e Tecnologia de Alimentos | |
| dc.source | Ciência e Tecnologia de Alimentos (Brasil) Num.2 Vol.34 | |
| dc.subject | Agrociencias | |
| dc.title | Mathematical modeling of microwave dried celery leaves and determination of the effective moisture diffusivities and activation energy | |
| dc.type | artículo científico |