Structure · dataset · 2026
From Bitter to Better: Optimizing Polyphenol Extraction from Yellow Pea (Pisum sativum L.) Using Natural Deep Eutectic Solvents (NADES) for Improved Plant Protein Products
Listed in ETH Zürich Research Collection
World food systems are shifting toward sustainable and ethical production, driving demand for plant-based proteins.
Description
Yet, consumer acceptance remains limited due to undesirable flavor, color, and texture. Natural deep eutectic solvents (NADES) represent a sustainable method to remove bitter and astringent phytochemicals from plants, yielding whitened, odorless, and protein-rich materials.
This study examines the selective extraction of polyphenols from yellow split peas (Pisum sativum L.) using two food-grade NADES (betaine or choline chloride with 1,2-propanediol). Kinetic modeling is derived from analytical data across different particle sizes (0.25-0.5, 0.5-1, 1-2, and 2-3.15 mm), temperatures (45, 55, 65, 75 °C) and NADES hydration levels (0, 10, 20% water), revealing how these parameters influence extraction behavior.
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Comparisons with 1,2-propanediol (0, 10, 20% water) highlight the key role of eutectic solvents’ components in determining kinetics and yields. The studied NADES achieve selective polyphenol extraction (around 550 mg kg−1) while retaining proteins (around 8 g kg−1, co-extraction), outperforming conventional ethanol or water as solvents. Increasing NADES hydration enhanced diffusion and extraction rates, demonstrating water’s importance as a ternary component in these systems.
This work underscores NADES’ potential as an efficient, scalable, and sustainable strategy for purifying plant proteins in a promising step towards improving these products’ sensory quality and consumer appeal.
Links
Where it is published
- ETH Zürich Research Collection record hdl.handle.net/20.500.11850/790062 ↗
landing page · from research collection ethz ch
- DOI doi.org/10.3929/ethz-c-000790062 ↗
DOI / persistent id · from research collection ethz ch
Catalogue records · 1
- OAI-PMH record research-collection.ethz.ch/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Awww.… ↗
metadata API · from research collection ethz ch
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Physics · Psychology & Behavioral Science · Social Science
- Inferred from text
- Organic chemistry 72%
Provenance · 1 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ETH Zürich Research Collection | oai:www.research-collection.ethz.ch:20.500.11850/790062 | 10 d ago | JSON v1 |
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|---|---|---|---|
| access_level | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
| concepts[field].anzsrc:group:3405 | enrichment · research collection ethz ch | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:chemistry | mapping · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
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| title | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | /metadata/dc/title |