Mass and functionality based exergy analysis of different rapeseed protein production routes

Rapeseed proteins are among the outstanding plant-based proteins due to their favorable interfacial functionality. This study evaluates the resource use of the most common rapeseed protein production routes – acidic precipitation, ultrafiltration and wet mild fractionation – using an exergy-based approach. The exergy consumption is normalized based on both product mass and protein functionality. Mass-based assessment indicates that the routes producing dry rapeseed protein concentrate exhibit relatively low exergy efficiencies (12.3 – 20.7%), mainly due to production of a single useful stream and dilute processing conditions that intensify the drying-related exergy demand. Wet mild fractionation shows the highest exergy efficiency at 47.3%, by distributing resource inputs across two useful products, oleosome cream and proteins. When evaluated based on protein functionality, however, ultrafiltration-based recovery of proteins from rapeseed meal and acid precipitation from cold-pressed cake emerge as the least exergy-intensive options to produce rapeseed protein-based emulsifiers. Therefore, the study shows that the resource use efficiency of a process is strongly dependent on the chosen evaluation criterion and highlights the importance of functionality-oriented valorisation of useful streams to enhance the efficiency of resources use.

Authors

Institutions

Publication Details

Journal
Journal of Cleaner Production
Published
2026-09-29
DOI
https://doi.org/10.1016/j.jclepro.2026.149561
Primary Topic
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Mass and functionality based exergy analysis of different rapeseed protein production routes

Remko Marcel Boom, Kübra Ayan
Journal of Cleaner Production
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
article

Mass and functionality based exergy analysis of different rapeseed protein production routes

Remko Marcel Boom, Kübra Ayan
article en

Abstract

Rapeseed proteins are among the outstanding plant-based proteins due to their favorable interfacial functionality. This study evaluates the resource use of the most common rapeseed protein production routes – acidic precipitation, ultrafiltration and wet mild fractionation – using an exergy-based approach. The exergy consumption is normalized based on both product mass and protein functionality. Mass-based assessment indicates that the routes producing dry rapeseed protein concentrate exhibit relatively low exergy efficiencies (12.3 – 20.7%), mainly due to production of a single useful stream and dilute processing conditions that intensify the drying-related exergy demand. Wet mild fractionation shows the highest exergy efficiency at 47.3%, by distributing resource inputs across two useful products, oleosome cream and proteins. When evaluated based on protein functionality, however, ultrafiltration-based recovery of proteins from rapeseed meal and acid precipitation from cold-pressed cake emerge as the least exergy-intensive options to produce rapeseed protein-based emulsifiers. Therefore, the study shows that the resource use efficiency of a process is strongly dependent on the chosen evaluation criterion and highlights the importance of functionality-oriented valorisation of useful streams to enhance the efficiency of resources use.

Journal of Cleaner ProductionVol. 578
University of Copenhagen (DK), Alanya University (TR), Department of Public Health (MM)
Decent work and economic growth
Openalex Percentile: Top 22%
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
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.