The effect of hot air and microwave drying on thermophysical and chemical properties of parsley, celery and coriander leaf powders

BACKGROUND: This study aimed to evaluate the effect of drying methods on the drying characteristics, chemical composition, color and thermophysical properties of parsley, celery and coriander leaf powders. It also sought to predict the effective thermal conductivity (ETC) of these dried leaves using seven structural models and to compare the measured and predicted values. RESULTS: The leaves were dried using hot air at 60 °C and microwave drying at 200 W, with drying times ranging from 15 to 56 min depending on the method and plant species. The physico-chemical properties were mainly influenced by the plant species, whereas the effect of the drying method was less pronounced. However, the drying method significantly affected the color of the powders. Among the seven models tested, the parallel and co-continuous models provided the most accurate predictions of ETC. CONCLUSION: Overall, plant species played a dominant role in determining the physico-chemical properties of the powders, whereas the drying method mainly influenced color. The parallel and co-continuous models proved to be the most suitable for predicting the ETC of the dried aromatic leaves. © 2026 Society of Chemical Industry.

Authors

Institutions

Publication Details

Journal
Journal of the Science of Food and Agriculture
Published
2026-04-12
DOI
https://doi.org/10.1002/jsfa.70654
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effect of hot air and microwave drying on thermophysical and chemical properties of parsley, celery and coriander leaf powders

Khodir Madani, Marek Markowski, Khokha Mouhoubi, Izabela Staniszewska et al.
Journal of the Science of Food and Agriculture
Food Drying and Modeling
article

The effect of hot air and microwave drying on thermophysical and chemical properties of parsley, celery and coriander leaf powders

Khodir Madani, Marek Markowski, Khokha Mouhoubi, Izabela Staniszewska, Magdalena Zielińska, Lila Boulekbache‐Makhlouf
article en

Abstract

BACKGROUND: This study aimed to evaluate the effect of drying methods on the drying characteristics, chemical composition, color and thermophysical properties of parsley, celery and coriander leaf powders. It also sought to predict the effective thermal conductivity (ETC) of these dried leaves using seven structural models and to compare the measured and predicted values. RESULTS: The leaves were dried using hot air at 60 °C and microwave drying at 200 W, with drying times ranging from 15 to 56 min depending on the method and plant species. The physico-chemical properties were mainly influenced by the plant species, whereas the effect of the drying method was less pronounced. However, the drying method significantly affected the color of the powders. Among the seven models tested, the parallel and co-continuous models provided the most accurate predictions of ETC. CONCLUSION: Overall, plant species played a dominant role in determining the physico-chemical properties of the powders, whereas the drying method mainly influenced color. The parallel and co-continuous models proved to be the most suitable for predicting the ETC of the dried aromatic leaves. © 2026 Society of Chemical Industry.

Journal of the Science of Food and Agriculture
University of Béjaïa (DZ), University of Warmia and Mazury in Olsztyn (PL)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Food Drying and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.