Extraction and characterization of protein fraction from whole chickpea (Cicer arietinum L.) flour through ultrasound assisted alkaline method

), pH 9.5, and a 40-minute ultrasonication time. The extracts from the control assay (EC), the desirable one (ED), and three other experimental conditions (E6, E10, and E11) were characterized by their technological, chemical, physicochemical, and morphological properties. Among the five extracts, EC showed the highest protein content (65.13 ± 0.97%), and the ultrasound-assisted extraction method did not increase the yield but reduced the extraction time and improved the functional properties. Solubility increased from 77.33 ± 2.15% to 89.07 ± 3.06% under the optimized condition (ED); water absorption capacity from 1.76 ± 0.05% to 2.55 ± 0.02%; oil absorption from 1.42 ± 0.02% to 1.96 ± 0.06%; and foam stability from 58.04 ± 1.55% to 65.87 ± 2.75%, highlighting ED and E6. The enhanced functionality is attributed to ultrasound-induced structural modifications associated with acoustic cavitation. The optimized process provides advantages for industrial food systems, including improved efficiency, and potential sustainability benefits. Chickpea proteins show strong potential for application in baked products, pasta, meat analogues, dairy alternatives, and emerging technologies such as 3D-printed foods. Future studies should focus on process scale-up and techno-economic evaluation to support industrial implementation.

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Publication Details

Journal
Ultrasonics Sonochemistry
Published
2026-04-06
DOI
https://doi.org/10.1016/j.ultsonch.2026.107848
Primary Topic
Proteins in Food Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Extraction and characterization of protein fraction from whole chickpea (Cicer arietinum L.) flour through ultrasound assisted alkaline method

Manoel Soares Soares Júnior, Vitor Hugo Pacheco Jardim, Alline Emannuele Chaves Ribeiro, Priscylla Martins Carrijo Prado et al.
Ultrasonics Sonochemistry
Proteins in Food Systems
article

Extraction and characterization of protein fraction from whole chickpea (Cicer arietinum L.) flour through ultrasound assisted alkaline method

Manoel Soares Soares Júnior, Vitor Hugo Pacheco Jardim, Alline Emannuele Chaves Ribeiro, Priscylla Martins Carrijo Prado, Gabriela Silva Mendes Coutinho, Luciano M. Lião, Larissa Silva Couto, Gabriella Leite Magalhães, Aryane Ribeiro Oliveira, Tâmila G. Raimundo, Ivan T.N. Campos, Márcio Caliari, Nathale J.C. Santos
article en

Abstract

), pH 9.5, and a 40-minute ultrasonication time. The extracts from the control assay (EC), the desirable one (ED), and three other experimental conditions (E6, E10, and E11) were characterized by their technological, chemical, physicochemical, and morphological properties. Among the five extracts, EC showed the highest protein content (65.13 ± 0.97%), and the ultrasound-assisted extraction method did not increase the yield but reduced the extraction time and improved the functional properties. Solubility increased from 77.33 ± 2.15% to 89.07 ± 3.06% under the optimized condition (ED); water absorption capacity from 1.76 ± 0.05% to 2.55 ± 0.02%; oil absorption from 1.42 ± 0.02% to 1.96 ± 0.06%; and foam stability from 58.04 ± 1.55% to 65.87 ± 2.75%, highlighting ED and E6. The enhanced functionality is attributed to ultrasound-induced structural modifications associated with acoustic cavitation. The optimized process provides advantages for industrial food systems, including improved efficiency, and potential sustainability benefits. Chickpea proteins show strong potential for application in baked products, pasta, meat analogues, dairy alternatives, and emerging technologies such as 3D-printed foods. Future studies should focus on process scale-up and techno-economic evaluation to support industrial implementation.

Ultrasonics SonochemistryVol. 129
Universidade de Brasília (BR), Universidade Federal de Goiás (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Universidade Federal de Goiás
Zero hunger
Openalex Percentile: Top 29%
Proteins in Food Systems
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