Green sample pre-treatment technique coupled with UHPLC-MS/MS for the rapid biomonitoring of dietary poly-unsaturated (omega) fatty acids to predict health risks.

Polyunsaturated fatty acids (PUFAs) consumption indicates beneficial effects on cardiovascular disease (CVD) and physiological processes in humans. However, the inappropriate ratio of omega-(ω)-PUFA levels in human blood is considered as raising the risk of CVD. Therefore, monitoring dietary ω-FAs in human serum is vital for early diagnosis for individuals to predict CVD risk. This work reports a fast green sample pre-treatment protocol for sensitive and simultaneous monitoring of ω-3-FAs and ω-6-FAs in serum by novel in-syringe-based ultrasonication-assisted alkaline hydrolysis coupled with vortex-induced liquid-liquid microextraction (IS-USAH-VI-LLME) technique connected with UHPLC–MS/MS analysis. Factors affecting extraction recoveries of ten ω-PUFAs by the presented method were well-studied. ω-3 and ω-6 PUFAs demonstrated excellent linearities between the concentrations between 0.1–10,000 ng mL−1 with good regression coefficients between 0.9910–0.9997. The detection and quantification limits were between 0.05–0.35 and 0.16–1.07 ng mL−1, demonstrating that the presented method is highly sensitive and versatile. The precision of the technique was <8.2% that deemed acceptable in clinical analysis. Further, the proposed method was applied for ω-PUFAs analysis in human blood samples, and spiked recoveries showed between 80.32–119.34% with <9.82% precision. Results proved that the developed method is green, sensitive, and reliable to simultaneously determine ten ω-PUFAs in human blood samples for clinical diagnosis applications for predicting health hazards. [Display omitted] • Trace level anaysis of environmentally healthy poly-unsaturated fatty acids in serum. • Sensitive and simultaneous biomonitoring of ω-PUFAs in human blood by LC-MS/MS. • In-syringe ultrasonication-assisted vortex-induced liquid-liquid microextraction. • This technique was employed for the real-time biomonitoring of human serum samples. • This method is green, and efficient for real-time analysis for health hazard assessment. [ABSTRACT FROM AUTHOR]