Green enzyme–ultrasound-membrane extraction of rapeseed protein: Enhancing purity and reducing Antinutritional factors

The objective of this study was to develop an eco-efficient strategy for extracting high-quality protein from rapeseed meal while minimizing antinutritional factors. Enzymatic hydrolysis, ultrasonication, and hybrid pretreatments were followed by membrane filtration, and their performance was compared to conventional acid precipitation. All integrated protocols significantly improved protein purity. Specifically, enzymatic pretreatment (EP) yielded the optimal outcome, producing extracts with enhanced purity and lower levels of phytic acid and glucosinolates. Ultrasound pretreatment enhanced the retention of phenolic compounds. Membrane filtration effectively removed low-molecular-weight impurities. These findings demonstrate the viability of integrated green technologies for valorising rapeseed by-products into functional protein ingredients. • Enzyme-ultrasound with membrane filtration improved protein quality. • Membrane filtration removed peptides, salts, and residual enzymes. • Integrated green processing boosted extract total phenolic content. • Enzyme-ultrasound alkaline extraction minimized phytic acid and glucosinolates. • Enzyme pretreatment provided best protein quality, cost and simplicity balance.

Authors

Institutions

Publication Details

Journal
Food Chemistry
Published
2026-02-01
DOI
https://doi.org/10.1016/j.foodchem.2026.148546
Primary Topic
Protein Hydrolysis and Bioactive Peptides
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Green enzyme–ultrasound-membrane extraction of rapeseed protein: Enhancing purity and reducing Antinutritional factors

Shay Hannon, K. Dilip, Gaoya Dong, Brijesh Kumar Tiwari et al.
Food Chemistry
Protein Hydrolysis and Bioactive Peptides
article

Green enzyme–ultrasound-membrane extraction of rapeseed protein: Enhancing purity and reducing Antinutritional factors

Shay Hannon, K. Dilip, Gaoya Dong, Brijesh Kumar Tiwari, Da-Wen Sun, Zhipeng Hu
article en

Abstract

The objective of this study was to develop an eco-efficient strategy for extracting high-quality protein from rapeseed meal while minimizing antinutritional factors. Enzymatic hydrolysis, ultrasonication, and hybrid pretreatments were followed by membrane filtration, and their performance was compared to conventional acid precipitation. All integrated protocols significantly improved protein purity. Specifically, enzymatic pretreatment (EP) yielded the optimal outcome, producing extracts with enhanced purity and lower levels of phytic acid and glucosinolates. Ultrasound pretreatment enhanced the retention of phenolic compounds. Membrane filtration effectively removed low-molecular-weight impurities. These findings demonstrate the viability of integrated green technologies for valorising rapeseed by-products into functional protein ingredients. • Enzyme-ultrasound with membrane filtration improved protein quality. • Membrane filtration removed peptides, salts, and residual enzymes. • Integrated green processing boosted extract total phenolic content. • Enzyme-ultrasound alkaline extraction minimized phytic acid and glucosinolates. • Enzyme pretreatment provided best protein quality, cost and simplicity balance.

Food Chemistry
University College Dublin (IE), Teagasc - The Irish Agriculture and Food Development Authority (IE), National University of Ireland (IE)
Zero hunger
Openalex Percentile: Top 46%
Protein Hydrolysis and Bioactive Peptides
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.