A quantification method for trace level of oxytocin in food matrices using LC-MS/MS

Backgrounds: Oxytocin is nowadays used to increase the agricultural products besides its use during milking of cattle leading contamination produce and milk with oxytocin. Monitoring accurate oxytocin contaminations from foodstuffs sometimes required maintain quality standard. The commonly assays in this study were interfered by food matrix. There a need develop an confirmed method for monitoring foodstuffs. Objective: An attempt made assay produces. Methods: acidified methanol was extraction target stuff/matrices (agricultural Milk). LC-MS/MS detection quantification. In chromatographic separation, concentration optimized using selective reaction (SRM) heated electrospray ionization (HESI) positive polarity. separation performed reversed-phase C 18 column gradient elution at flow rate 0.4 ml/min. all matrices. performance verified as per SANTE 2021 guideline. After validation, applied real samples analysis assessing presence/absence Results: calibration curve offered excellent linearity ( R 2 = 0.999) less than 15% residuals. matrix effect <20% observed mean recoveries within 70%–115% <11% RSD four different levels 0.01 mg/kg fruits vegetables. 50 random milk, fruits, vegetables market purposes established control approach. Based on results, we did observe signal Therefore, has shown practical suitability Conclusion: Extraction followed simple, sensitive, accurate, reproducible, practically suitable quantification