# Analytical challenges and opportunities in the extraction, separation, and identification of food phospholipids

**Authors:** Abir Bahi, Yazan Ranneh, Moza Saif Obaid Alyammahi, Mariam Faleh Hamad Alnuaimi, Carine Platat, Abdulmannan Fadel

PMC · DOI: 10.3389/fnut.2026.1743161 · Frontiers in Nutrition · 2026-02-17

## TL;DR

This paper reviews challenges and new methods for extracting and analyzing phospholipids in food, emphasizing the need for standardized and sustainable approaches.

## Contribution

The paper introduces a matrix-aware analytical framework and highlights emerging green technologies for phospholipid analysis.

## Key findings

- Traditional solvent-based methods remain the gold standard, but greener alternatives like supercritical CO2 and enzyme-assisted extraction show promise.
- A tiered analytical workflow combining TLC, UHPLC, LC–MS, and 31P NMR is recommended for accurate phospholipid analysis.
- Variability in results is attributed to non-standardized methods and matrix effects, highlighting the need for standardization and automation.

## Abstract

Phospholipids (PLs) are minor but functionally important food lipids whose amphiphilic structure and strong interactions with the complex food matrix make their extraction and analysis challenging. This review summarizes a matrix-aware synthesis of current strategies for PLs extraction, purification, separation, and identification across major food sources, including eggs, dairy products, plant oils, marine oils, and microbial oils. While traditional solvent-based systems are the “gold standard,” new, emerging “greener” technologies such as supercritical CO2, ultrasound, microwave, enzyme-assisted, pressurized liquid extraction, and deep eutectic solvents show promise in terms of selectivity, efficiency, molecular integrity, and environmental sustainability. Due to the lack of universal standard methodology, this review emphasizes a tiered, objective-driven analytical framework in which extraction is adapted to the matrix origin, followed by cartridge solid-phase extraction for PLs enrichment, and progressively deeper analytical resolution. The most effective analytical approach combines orthogonal tools, including TLC for qualitative screening, UHPLC coupled with universal detectors (CAD/ELSD) for robust class-level quantification, LC–MS(/MS) for molecular-species identification and oxidation/lysophospholipid monitoring, 31P NMR for independent class-level validation, and GC-FAME for fatty-acyl profiling. The substantial variability among published results is attributed to non-standardized extraction methods, different detector responses, and matrix-dependent effects. Accordingly, a flexible, matrix-aware analytical workflow is proposed highlighting future priorities in standardization, automation, and validation of greener technologies and analytical strategies to achieve reproducible, comparable, and sustainable PLs analytical and production processes.

Main phospholipid sources and their main extraction, separation, and identification methods.Infographic showing phospholipid main sources (various plants, dairy, fish, and oil seeds), extraction methods (solvent, ultrasound, microwave, enzymatic), separation (solid-phase extraction, thin layer chromatography), identification and quantification (HPLC, NMR, LCMS, GC), chemical structure overview, subclasses (PC, PE, PI, PS, SM, PA), and a labeled schematic of phospholipid components highlighting phosphate, glycerol, fatty acid chains, and head group.

Main phospholipid sources and their main extraction, separation, and identification methods.

## Full-text entities

- **Genes:** PC (pyruvate carboxylase) [NCBI Gene 338471]
- **Diseases:** inflammatory (MESH:D007249), PD (MESH:D010300), disorders (MESH:D009358), PC (MESH:C535298), immune- (MESH:D007154), PLs (MESH:D016736), toxicity (MESH:D064420), EAE (MESH:D008661)
- **Chemicals:** polysaccharide (MESH:D011134), n-3 PUFAs (MESH:D015525), choline (MESH:D002794), N,N-dimethylcyclohexylamine (MESH:C038336), essential fatty acids (MESH:D005228), PA (MESH:D010712), menthol (MESH:D008610), fat (MESH:D005223), methanol (MESH:D000432), sugars (MESH:D000073893), phosphorus (MESH:D010758), phosphate (MESH:D010710), PI (MESH:D010716), glycerophospholipids (MESH:D020404), oxygen (MESH:D010100), GLs (MESH:D006017), thymol (MESH:D013943), 2-propanol (MESH:D019840), ACN (MESH:C084683), fish oils (MESH:D005395), Lysophosphatidylglycerol (MESH:C026223), Ethanol (MESH:D000431), cholesterol (MESH:D002784), cyclohexane (MESH:C506365), plant oils (MESH:D010938), Ceramide (MESH:D002518), H2O (MESH:D014867), PL (MESH:D010743), CL (MESH:D002308), FFAs (MESH:D005230), Lysophosphatidylethanolamine (MESH:C008301), terpenes (MESH:D013729), PG (MESH:D010715), amino acids (MESH:D000596), serine (MESH:D012694), TFA (MESH:D014269), MUFA (MESH:D005229), PS (MESH:D010718), oil (MESH:D009821), fatty acid (MESH:D005227), tert-butanol (MESH:D020002), carbohydrates (MESH:D002241), PC (MESH:D010713), ethyl acetate (MESH:C007650), Folch (-), ethanolamine (MESH:D019856), oxalic acid (MESH:D019815), PE (MESH:C483858), carvacrol (MESH:C073316), SM (MESH:D013109), PUFAs (MESH:D005231), TG (MESH:D013866), Hexane (MESH:D006586), Silica (MESH:D012822), soybean oil (MESH:D013024), Glycerol (MESH:D005990), Lysophospholipid (MESH:D008246), Plasmalogens (MESH:D010955), sphingolipids (MESH:D013107), LPC (MESH:D008244)
- **Species:** Helianthus annuus (common sunflower, species) [taxon 4232], Saccharomyces cerevisiae (baker's yeast, species) [taxon 4932], Rhodotorula toruloides (species) [taxon 5286], Glycine max (soybean, species) [taxon 3847], Nannochloropsis oculata (species) [taxon 43925], Homo sapiens (human, species) [taxon 9606], Gallus gallus (bantam, species) [taxon 9031], Actinopterygii (fishes, superclass) [taxon 7898], PX clade (clade) [taxon 569578], Bos taurus (bovine, species) [taxon 9913]

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## References

151 references — full list in the complete paper: https://tomesphere.com/paper/PMC12955610/full.md

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Source: https://tomesphere.com/paper/PMC12955610