LC-MS/MS法测定食品基质中微量催产素含量

D. Kumar, Ramiz M. R. Azad, D. Oulkar, H. Oberoi, S. Jacob, B. C. Koner, Subash Chandra S
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引用次数: 2

摘要

背景:催产素除了用于挤奶外,还被用于增加农产品产量,导致农产品和牛奶被催产素污染。为了保持质量标准,有时需要对食品中的催产素污染进行准确监测。本研究中常用的催产素测定法受到食物基质的干扰。需要开发一种准确且经证实的方法来监测食品中的催产素污染。目的:建立一种准确测定牛奶和农产品中催产素含量的方法。方法:采用酸化甲醇从目标食品/基质(农产品和牛奶)中提取催产素。LC-MS/MS用于其检测和定量。在色谱分离中,使用具有正极性加热电喷雾电离(HESI)的选择性反应监测(SRM)来优化催产素浓度。色谱分离使用反相C18柱以0.4ml/min的流速进行梯度洗脱。酸化甲醇用于提取所有目标食物基质中的催产素。根据SANTE 2021指南对方法性能进行了验证。方法验证后,将该方法应用于真实食品样本分析,以评估催产素的存在/不存在。结果:校准曲线线性良好(R2=0.999),残差小于15%。对于所有目标基质,观察到基质效应<20%。牛奶中四种不同水平和水果和蔬菜中0.01 mg/kg的平均回收率在70%-115%之间,RSD<11%。为了建立质量控制方法,将优化的方法应用于市场上50个牛奶、水果和蔬菜的随机样本。基于这些结果,我们确实在随机样本中观察到了催产素的信号。因此,该方法已显示出其在牛奶、水果和蔬菜中检测催产素的实用性。结论:用酸化甲醇提取催产素,然后用LC-MS/MS进行测定,是一种简单、灵敏、准确、重现性好、实用的检测和定量牛奶、水果和蔬菜中催产素的方法。
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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 the milking of cattle leading to the contamination of agricultural produce and milk with oxytocin. Monitoring of accurate oxytocin contaminations from foodstuffs is sometimes required to maintain the quality standard. The commonly used oxytocin assays in this study were interfered with by the food matrix. There is a need to develop an accurate and confirmed method for monitoring oxytocin contaminations in foodstuffs. Objective: An attempt is made to develop an accurate assay method of oxytocin from milk and agricultural produces. Methods: The acidified methanol was used for the extraction of oxytocin from target food stuff/matrices (agricultural produce and Milk). LC-MS/MS was used for its detection and quantification. In the chromatographic separation, Oxytocin concentration was optimized using selective reaction monitoring (SRM) with heated electrospray ionization (HESI) in positive polarity. The chromatographic separation was performed using a reversed-phase C18 column with gradient elution at a flow rate of 0.4 ml/min. The acidified methanol was used for the extraction of oxytocin in all target food matrices. The method performance was verified as per the SANTE 2021 guideline. After method validation, the method was applied in real food samples analysis for assessing the presence/absence of oxytocin. Results: The calibration curve offered excellent linearity (R 2 = 0.999) with less than 15% residuals. The matrix effect was <20% observed for all target matrices. The mean recoveries were within 70%–115% with <11% RSD at four different levels in milk and 0.01 mg/kg in fruits and vegetables. The optimized method was applied to 50 random samples of milk, fruits, and vegetables from the market for the purposes of an established quality control approach. Based on the results, we did observe a signal of oxytocin in the random samples Therefore, this method has shown its practical suitability for the detection of oxytocin in milk, fruits, and vegetables. Conclusion: Extraction of oxytocin using acidified methanol followed by assays using LC-MS/MS is a simple, sensitive, accurate, reproducible, and practically suitable method for detection and quantification of oxytocin from milk, fruits, and vegetables.
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