Mass Spectrometry-Based Lipidomics in Coffee: Linking Lipid Transformation to Flavor Formation and Quality Control

Area of Science:

• * Food Science
• * Analytical Chemistry
• * Biochemistry

Background:

• * Coffee lipids are crucial for flavor, aroma, mouthfeel, and stability but their molecular changes are poorly understood.
• * Previous research has not fully integrated lipid remodeling across coffee's production chain (maturation to storage).

Purpose of the Study:

• * To review lipidomics methodologies and their application in coffee research.
• * To examine how lipid profiles evolve during coffee bean maturation, processing, roasting, and storage.
• * To highlight the link between lipid composition and coffee quality attributes.

Main Methods:

• * Review of recent advancements in lipidomics, including sample preparation, mass spectrometry (MS) platforms, and data analysis.
• * Examination of lipid annotation strategies and their limitations.
• * Analysis of existing studies on coffee lipid profiles across different species, varieties, and treatments.

Main Results:

• * Lipid composition, not total lipid content, better differentiates coffee quality and serves as markers for origin, processing, and storage.
• * Changes in glycerolipids, glycerophospholipids, fatty acids, and diterpenes are linked to oxidation, degradation, and flavor.
• * Most current associations are correlational, lacking direct causal evidence for specific lipid-flavor links.

Conclusions:

• * Lipidomics offers a powerful framework for coffee quality control, traceability, and process optimization.
• * Further research is needed to overcome limitations like incomplete annotation and isomeric ambiguity.
• * Integrating advanced techniques (e.g., high-resolution MS, ion mobility, multi-omics) is essential for mechanistic validation and understanding lipid functions.