A Comparative Evaluation of Six Extraction Methods on the Techno-Functional Properties of Black and White Sesame Meal Proteins

Sesame meal protein (SMP) is a promising sustainable protein source, yet its functional performance is often compromised by conventional extraction methods that prioritize yield over structural integrity. This study systematically compares six extraction methods—acid/alkaline pH-shift, Osborne fractionation, salting-out, isoelectric precipitation, and micellization—applied to black and white sesame varieties, aiming to establish a methodological reference for targeted SMP extraction. The extraction method critically dictated the supramolecular architecture and secondary structure of the isolates, which in turn governed their techno-functional properties. Micellization best preserved native protein conformation, yielding isolates with superior pH-dependent solubility (exhibiting a pronounced U-shaped profile) and the highest in vitro digestibility (77.17% for black, 72.85% for white SMP). In contrast, isoelectric precipitation and pH-shift induced severe aggregation and unfolding, as evidenced by SEM and FTIR, leading to significantly impaired functionality. Osborne fractionation offered a viable yield-purity compromise, while salting-out achieved high purity with low recovery. Sesame variety was a key modulator, with black sesame yielding isolates of higher purity and distinct functional properties. These findings provide a practical reference for selecting extraction protocols to tailor SMP for specific food applications, such as protein-fortified beverages, nutritional emulsions, and texturized products.

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Publication Details

Journal
LWT
Published
2026-11-01
DOI
https://doi.org/10.1016/j.lwt.2026.120203
Primary Topic
Proteins in Food Systems
Type
article
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article

A Comparative Evaluation of Six Extraction Methods on the Techno-Functional Properties of Black and White Sesame Meal Proteins

Xiangyu Zhou, Fuyun Ji, Yumei Xu, Yuanyuan Zhang et al.
LWT
Proteins in Food Systems
article

A Comparative Evaluation of Six Extraction Methods on the Techno-Functional Properties of Black and White Sesame Meal Proteins

Xiangyu Zhou, Fuyun Ji, Yumei Xu, Yuanyuan Zhang, Ruofan Zha, Liangliang Zhu, Jing Song, Yinping Zhang
article en

Abstract

Sesame meal protein (SMP) is a promising sustainable protein source, yet its functional performance is often compromised by conventional extraction methods that prioritize yield over structural integrity. This study systematically compares six extraction methods—acid/alkaline pH-shift, Osborne fractionation, salting-out, isoelectric precipitation, and micellization—applied to black and white sesame varieties, aiming to establish a methodological reference for targeted SMP extraction. The extraction method critically dictated the supramolecular architecture and secondary structure of the isolates, which in turn governed their techno-functional properties. Micellization best preserved native protein conformation, yielding isolates with superior pH-dependent solubility (exhibiting a pronounced U-shaped profile) and the highest in vitro digestibility (77.17% for black, 72.85% for white SMP). In contrast, isoelectric precipitation and pH-shift induced severe aggregation and unfolding, as evidenced by SEM and FTIR, leading to significantly impaired functionality. Osborne fractionation offered a viable yield-purity compromise, while salting-out achieved high purity with low recovery. Sesame variety was a key modulator, with black sesame yielding isolates of higher purity and distinct functional properties. These findings provide a practical reference for selecting extraction protocols to tailor SMP for specific food applications, such as protein-fortified beverages, nutritional emulsions, and texturized products.

LWT
Anhui Academy of Agricultural Sciences (CN), Anqing Normal University (CN)
Zero hunger
Openalex Percentile: Top 86%
Proteins in Food Systems
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A Comparative Evaluation of Six Extraction Methods on the Techno-Functional Properties of Black and White Sesame Meal Proteins — Xiangyu Zhou, Fuyun Ji, et al. · LWT (2026) | TGRS Research Map | TGRS