Please use this identifier to cite or link to this item:
https://csirspace.foodresearchgh.site/handle/123456789/1064
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Akonor, P. T. | - |
dc.contributor.author | Amankwah, E. A. | - |
dc.date.accessioned | 2018-02-06T13:59:20Z | - |
dc.date.available | 2018-02-06T13:59:20Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Journal of Food Processing & Technology, 3 (8), 1-5 | en_US |
dc.identifier.issn | 2157-7110 | - |
dc.identifier.uri | https://csirspace.foodresearchgh.site/handle/123456789/1064 | - |
dc.description.abstract | The aim of the study was to model the solar drying characteristics of the leaves of Amaranthus hybridus and Xanthosoma sagittifolium dried in thin layers. Fresh leaves were obtained from Centre for Biodiversity Utilisation and Development (CBUD) farms, trimmed into strips of 0.3 cm x 3 cm and loaded into cabinet solar dryers up to a 5 mm layer. Drying was monitored and moisture loss was determined by loss in weight of samples at hourly interval. Drying data were fitted to five thin layer models, namely; Newton’s, Page’s, Modified Page, Handerson and Pabis and Logarithmic models by Non-linear Regression Analysis, the effective diffusivity was also determined for the two leafy vegetables. All five models showed a good fit between observed and predicted values, with Page’s model resulting in the highest r2 and lowest RMSE and X2 and hence the best model to describe the solar-drying characteristics of the two vegetables | en_US |
dc.language.iso | en | en_US |
dc.publisher | OMICS Publishing Group | en_US |
dc.subject | Drying curves | en_US |
dc.subject | Effective moisture diffusivity | en_US |
dc.subject | Leafy vegetables | en_US |
dc.subject | Mathematical modelling | en_US |
dc.subject | Solar drying | en_US |
dc.title | Thin layer drying kinetics of solar-dried Amaranthus hybridus and Xanthosoma sagittifolium Leaves | en_US |
dc.type | Article | en_US |
dc.journalname | Journal of Food Processing & Technology | - |
Appears in Collections: | Food Research Institute |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
JFPT_3_8_Akonor_et al.pdf | 2.4 MB | Adobe PDF | View/Open |
Items in CSIRSpace are protected by copyright, with all rights reserved, unless otherwise indicated.