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Valorising berry pomace anthocyanins through sustainable extraction and yoghurt-based bioactivity testing
Secondary Supervisor(s): Prof Helen Onyeaka
University of Registration: University of Birmingham
BBSRC Research Themes:
Project Outline
This project will integrate biotechnology, food science and sustainability to valorise berry pomace as a source of anthocyanins for food and health applications. Enzyme-assisted ultrasound extraction will be compared with conventional ethanol-water and ultrasound-assisted extraction methods. The resulting extracts will be characterised for total anthocyanin content, HPLC profile and antioxidant capacity. Selected extracts will be incorporated into yoghurt. After simulated gastrointestinal digestion, bioaccessible fractions will be tested in differentiated adipocytes for effects on glucose uptake, oxidative stress and lipid accumulation.
By integrating low-solvent extraction, yoghurt delivery, simulated gastrointestinal digestion and adipocyte testing, this project will generate evidence for converting berry-pomace anthocyanins into sustainable bioactive ingredients with relevance to food innovation and metabolic health.
Objectives
- Extraction efficiency (M1–M9): optimise extraction conditions to improve anthocyanin recovery and reduce solvent versus ethanol-water extraction (≥25% higher TAC yield; ≤5 L/kg solvent use).
- Profile quality (M1–M12): characterise anthocyanin composition and achieve ≥60% post-processing anthocyanin retention.
- Food matrix performance (M13–M18): assess yoghurt delivery and achieve ≥50% anthocyanin retention after simulated gastrointestinal digestion.
- Cellular bioactivity (M19–M24): test whether bioaccessible fractions affect adipocyte glucose uptake, oxidative stress and lipid accumulation relative to vehicle and extraction-matched controls (≥20% increase in glucose uptake; ≥20% reduction in lipid accumulation; no cytotoxicity).
- Sustainability assessment (M25–M30): compare extraction processes by anthocyanin recovery, solvent use, energy demand and estimated greenhouse-gas emissions, identifying the best overall sustainability profile (≥30% GHG reduction versus control by LCA).