Comparative analysis of drying methods and optimization of Teff Injera drying parameters using RSM and SLP approach

The drying process of Teff Injera, a staple and highly favored traditional Ethiopian food made from Teff, was investigated to optimize moisture removal and determine the ideal drying time under controlled conditions. The study focused on the effects of drying temperature and airflow speed on the drying rate. Experiments were conducted using both open sun drying and oven drying methods. The sun drying trials were carried out between January 26th and 29th, 2023, in Bahir Dar, Ethiopia, within the sunlight window of 10:30 AM to 3:30 PM, utilizing a K-type thermocouple connected to a data logger and computer equipped with SquirrelView software. Oven drying experiments explored the combined effects of drying parameters, considering both free and forced convection methods at temperatures ranging from 40 °C to 90 °C and airflow speeds of 0, 0.5, and 1 m/s. Analysis of variance (ANOVA) was used to statistically analyze the data, while Response Surface Methodology (RSM) and Sequential Linear Programming (SLP) were employed to optimize the Injera drying process by minimizing drying time through two key process parameters, drying temperature and airflow speed. Results indicated that four days were required to achieve optimal drying using the sun drying method. In contrast, forced convection at 90 °C and 1 m/s airflow speed reduced the drying time to just 140 min. A third-order polynomial regression with a coefficient of determination (R<sup>2</sup> = 0.993) was applied to the forced convection data to identify the optimal drying conditions. The optimum parameters, with a 99% confidence level, were determined to be a drying temperature of 84 °C, an airflow speed of 0.8 m/s, and a drying time of 146 min.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-08
DOI
https://doi.org/10.1038/s41598-025-19188-z
Citations
1
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative analysis of drying methods and optimization of Teff Injera drying parameters using RSM and SLP approach

Addisu Negash Ali, Dawit Andualem Asrate, Fekerte Berhanu Tadle
1 citations
Scientific Reports
Food Drying and Modeling
1.16
article

Comparative analysis of drying methods and optimization of Teff Injera drying parameters using RSM and SLP approach

Addisu Negash Ali, Dawit Andualem Asrate, Fekerte Berhanu Tadle
article en
1 citations

Abstract

The drying process of Teff Injera, a staple and highly favored traditional Ethiopian food made from Teff, was investigated to optimize moisture removal and determine the ideal drying time under controlled conditions. The study focused on the effects of drying temperature and airflow speed on the drying rate. Experiments were conducted using both open sun drying and oven drying methods. The sun drying trials were carried out between January 26th and 29th, 2023, in Bahir Dar, Ethiopia, within the sunlight window of 10:30 AM to 3:30 PM, utilizing a K-type thermocouple connected to a data logger and computer equipped with SquirrelView software. Oven drying experiments explored the combined effects of drying parameters, considering both free and forced convection methods at temperatures ranging from 40 °C to 90 °C and airflow speeds of 0, 0.5, and 1 m/s. Analysis of variance (ANOVA) was used to statistically analyze the data, while Response Surface Methodology (RSM) and Sequential Linear Programming (SLP) were employed to optimize the Injera drying process by minimizing drying time through two key process parameters, drying temperature and airflow speed. Results indicated that four days were required to achieve optimal drying using the sun drying method. In contrast, forced convection at 90 °C and 1 m/s airflow speed reduced the drying time to just 140 min. A third-order polynomial regression with a coefficient of determination (R<sup>2</sup> = 0.993) was applied to the forced convection data to identify the optimal drying conditions. The optimum parameters, with a 99% confidence level, were determined to be a drying temperature of 84 °C, an airflow speed of 0.8 m/s, and a drying time of 146 min.

Scientific ReportsVol. 15(1)
Bahir Dar University (ET)
Openalex Percentile: Top 17%
Food Drying and Modeling
1.16
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.

Comparative analysis of drying methods and optimization of Teff Injera drying parameters using RSM and SLP approach — Addisu Negash Ali, Dawit Andualem Asrate, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS