Chemical and Thermal Treatment for Drying Cassava Tubers: Optimization, Microstructure, and Dehydration Kinetics

Author:

Nainggolan Ellyas Alga12ORCID,Banout Jan1ORCID,Urbanova Klara1ORCID

Affiliation:

1. Department of Sustainable Technologies, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech Republic

2. Department of Bioprocess Engineering, Faculty of Biotechnology, Institut Teknologi Del, Jl. Sisingamangaraja, Sitoluama, Laguboti, Toba 22381, North Sumatera, Indonesia

Abstract

Perishable commodities like cassava necessitate effective postharvest preservation for various industrial applications. Hence, optimizing pretreatment processes and modeling drying kinetics hold paramount importance. This study aimed to optimize cassava pretreatment using the central composite design of a response surface methodology while also assessing microstructure and dehydration kinetics. Diverse chemical and thermal pretreatments were explored, encompassing sodium metabisulfite concentrations (0–4% w/w), citric acid concentrations (0–4% w/w), and blanching time (0–4 min). The four investigated responses were moisture content, whiteness index, activation energy (Ea), and effective moisture diffusivity (Deff). Employing five established drying models, suitability was appraised after optimal pretreatment conditions were determined. The findings revealed that moisture content ranged from 5.82 to 9.42% db, whereas the whiteness index ranged from 87.16 to 94.23. Deff and Ea ranged from 5.06 × 10−9 to 6.71 × 10−9 m2/s and 29.65–33.28 kJ/mol, respectively. The optimal pretreatment conditions for dried cassava were identified by optimizing the use of 1.31% citric acid, 1.03% sodium metabisulfite, and blanching time for 1.01 min. The microstructure indicated that particular chemical and thermal pretreatment configurations yielded particles in the shape of circular and elliptical granules. The logarithmic model provided the most accurate description of the dehydration kinetics, with the highest R2 value (0.9859) and the lowest χ2, RSME, and SSE values of 0.0351, 0.0015, and 0.0123, respectively.

Funder

Internal Grant Agency of the Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague

Publisher

MDPI AG

Subject

Paleontology,Space and Planetary Science,General Biochemistry, Genetics and Molecular Biology,Ecology, Evolution, Behavior and Systematics

Reference79 articles.

1. Physicochemical parameters and functional properties of flours from advanced genotypes and improved cassava varieties for industrial applications;Chimphepo;LWT,2021

2. FAO (2021). Statistics Division Food and Agriculture Organization of the United Nations, FAOSTAT. Available online: https://www.fao.org/faostat/en/#data/QCL.

3. Abass, A.B., Mlingi, N., Ranaivoson, R., Zulu, M., Mukuka, I., and Abele, S. (2013). Potential for Commercial Production and Marketing of Cassava: Experiences from the Small-Scale Cassava Processing Project in East and Southern Africa, IITA.

4. Hybrid Dryer of Cassava Chips;Warji;IOP Conf. Ser. Earth Environ. Sci.,2021

5. Cassava flour production by small scale processors, its quality and economic feasibility;Elisabeth;Food Sci. Technol.,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3