A LC-ESI-Q-TOF Method for Identification and Relative Composition Analysis of Triacylglycerols in Tropical Oil - (2) Palm Oil

Significance of the Topic

Triacylglycerols (TAGs) in palm oil serve as critical indicators of nutritional value and influence product quality and health impacts. Rapid, direct analysis of TAGs enhances quality control and deepens insight into oil composition.

Objectives and Study Overview

This work establishes a fast LC-ESI-Q-TOF method to identify and quantify the relative composition of TAG species in red and white palm oils, comparing profiles across different brands.

Methodology and Instrumentation

• Sample Preparation: Palm oil dissolved in chloroform–acetone, diluted in mobile phase B.
• Chromatography: Shim-pack Velox C18 (2.1×100 mm, 2.7 µm), gradient elution (20 mM ammonium formate in water / 2-propanol-ACN 80:20), 0.4 mL/min, 45 °C.
• Mass Spectrometry: Shimadzu LCMS-9030 Q-TOF with positive­mode ESI; formation of [TAG+NH4]+ adducts; MS range 700–1200 m/z; MS/MS with spread CE ±17 V.
• Data Analysis: LabSolutions Insight Explore for accurate-mass formula prediction and MS/MS fragment assignment to determine fatty acid composition.

Main Results and Discussion

• Thirty-four distinct TAGs identified in three palm oil samples.
• Composition: 24.1% TAGs with one MUFA, 43.6% with two MUFAs or one PUFA, 32.3% with three or more unsaturations.
• Major TAGs: OPP (15.1%), OOP (17.6%), OLP (15.3%); ECN 50–52 species constitute 74.2% of total TAGs.
• Consistent TAG profiles observed between red (P1, P2) and white (P3) palm oils.

Benefits and Practical Applications

• Eliminates derivatization and lengthy GC steps, accelerating analytical throughput.
• Enables precise TAG fingerprinting for origin authentication and nutritional labeling.
• Supports rapid batch screening in food production and quality assurance.

Future Trends and Possibilities

Extending LC-Q-TOF workflows to diverse edible oils and integrating ion mobility or higher-resolution instruments may improve isomer separation. Machine-learning algorithms could further streamline TAG structural annotation and automate data interpretation.

Conclusion

The developed LC-ESI-Q-TOF approach provides fast, reliable identification and relative quantification of palm oil TAGs, delivering consistent results across oil types and enhancing quality control capabilities.

Reference

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• Masuda K, Abe K, Murano Y. Journal of the American Oil Chemists’ Society. 2020; DOI:10.1002/aocs.12432.