Mechanism-Driven Green Extraction of Plant Polyphenols: From Molecular Interactions to Process Integration and...

Area of Science:

• Phytochemistry
• Green Chemistry
• Process Engineering

Background:

• Plant polyphenols possess significant bioactivities but face extraction challenges due to complex structures and sensitivity.
• Current green extraction research focuses on methods, lacking understanding of molecular interactions and mass transfer.

Purpose of the Study:

• To propose a "mechanism-driven, synergistic integration" framework for green polyphenol extraction.
• To provide theoretical guidance for intelligent, synergistic system design in polyphenol extraction.

Main Methods:

• Systematic analysis of polyphenol structural characteristics and cell wall interactions.
• Critical review of green extraction technologies (deep eutectic solvents, supercritical fluid extraction, physical field enhancement).
• Evaluation of synergistic integration strategies and process modeling techniques (response surface methodology, artificial neural networks).

Main Results:

• Clarified the molecular basis of polyphenol extractability.
• Identified synergistic integration strategies to overcome limitations of single green extraction technologies.
• Highlighted challenges in industrial scale-up, sustainability, and intelligent manufacturing.

Conclusions:

• Advocates a paradigm shift towards designing intelligent, synergistic systems based on mechanistic insights for polyphenol extraction.
• The proposed framework guides the transition from empirical optimization to intelligent system design.
• Enhanced extraction efficiency and selectivity are achievable through synergistic integration.