Optimizing Microwave Drying of Black Carrot Pretreated with Osmotic Dehydration: Taguchi Based Desirability Function Approach

This study aimed to optimize the microwave drying process of black carrot pretreated with ultrasound-assisted osmotic dehydration (UAOD). The effect of salt concentration (2-10%), sonication time (5-15 min), and microwave power (300-600 W) on total phenolic matter (TFM) and drying time was monitored. Single response optimization was performed using the Taguchi method (TM), while the desirability function approach (DFA) was used to optimize multiple responses. The analyses were conducted using Taguchi L9 orthogonal design. Single response optimization results showed that TFM content was changed between 11.59 and 18.57 mg GAE/g sample dry matter, while the drying time ranged from 8 to 20 min. In multiple response optimization, the DFA with a composite desirability (CD) value of 0.973 demonstrated that the optimal conditions for both maximizing TPC and minimizing drying time were obtained with 10% salt concentration, 15 min sonication, and 600 W microwave power. ANOVA results revealed that microwave power contributed the highest to both responses, followed by salt concentration and sonication time, respectively. However, microwave power and salt concentration had a substantial impact on the CD. Overall results showed that the Taguchi-based DFA was successfully applied to optimize the microwave drying process of black carrots pretreated with UAOD, maximizing the phenolic compound content and minimizing the drying time.

Authors

Institutions

Publication Details

Journal
Black Sea Journal of Engineering and Science
Published
2025-03-07
DOI
https://doi.org/10.34248/bsengineering.1610101
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

Optimizing Microwave Drying of Black Carrot Pretreated with Osmotic Dehydration: Taguchi Based Desirability Function Approach

Mehmet Güldane
Black Sea Journal of Engineering and Science
Food Drying and Modeling
article

Optimizing Microwave Drying of Black Carrot Pretreated with Osmotic Dehydration: Taguchi Based Desirability Function Approach

Mehmet Güldane
article en

Abstract

This study aimed to optimize the microwave drying process of black carrot pretreated with ultrasound-assisted osmotic dehydration (UAOD). The effect of salt concentration (2-10%), sonication time (5-15 min), and microwave power (300-600 W) on total phenolic matter (TFM) and drying time was monitored. Single response optimization was performed using the Taguchi method (TM), while the desirability function approach (DFA) was used to optimize multiple responses. The analyses were conducted using Taguchi L9 orthogonal design. Single response optimization results showed that TFM content was changed between 11.59 and 18.57 mg GAE/g sample dry matter, while the drying time ranged from 8 to 20 min. In multiple response optimization, the DFA with a composite desirability (CD) value of 0.973 demonstrated that the optimal conditions for both maximizing TPC and minimizing drying time were obtained with 10% salt concentration, 15 min sonication, and 600 W microwave power. ANOVA results revealed that microwave power contributed the highest to both responses, followed by salt concentration and sonication time, respectively. However, microwave power and salt concentration had a substantial impact on the CD. Overall results showed that the Taguchi-based DFA was successfully applied to optimize the microwave drying process of black carrots pretreated with UAOD, maximizing the phenolic compound content and minimizing the drying time.

Black Sea Journal of Engineering and ScienceVol. 8(2)
Sakarya University (TR), Sakarya Uygulamalı Bilimler Üniversitesi
Openalex Percentile: Top 96%
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.