Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Convective drying of regular mint leaves: analysis based on fitting empirical correlations, response surface methodology and neural networks

Full text
Author(s):
Silva Costa, Ariany Binda [1] ; Freire, Fabio Bentes [1] ; Ferreira, Maria do Carmo [1] ; Freire, Jose Teixeira [1]
Total Authors: 4
Affiliation:
[1] Univ Fed Sao Carlos, Dept Engn Quim, BR-13565905 Sao Paulo - Brazil
Total Affiliations: 1
Document type: Journal article
Source: ACTA SCIENTIARUM-TECHNOLOGY; v. 36, n. 2, p. 271-278, 2014.
Web of Science Citations: 3
Abstract

In the present work, an analysis of drying of peppermint (Menta x villosa H.) leaves has been made using empirical correlations, response surface models and a neural network model. The main goal was to apply different modeling approaches to predict moisture content and drying rates in the drying of leaves, and obtaining an overview on the subject. Experiments were carried out in a convective horizontal flow dryer in which samples were placed parallel to the air stream under operating conditions of air temperatures from 36 to 64 degrees C, air velocities from 1.0 to 2.0 m s(-1) and sample loads from 18 to 42 g, corresponding to sample heights of 1.4, 1.7 and 3.5 cm respectively. A complete 33 experimental design was used. Results have shown that the three methodologies employed in this work were complementary in the sense that they simultaneously provided a better understanding of leaves drying. (AU)

FAPESP's process: 11/07499-5 - Drying of medicinal and aromatic leaves: analysis of drying process
Grantee:Maria Do Carmo Ferreira
Support type: Regular Research Grants