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基于溶剂的和基质匹配的校准方法在使用新型 HPLC 方法分析牛奶和药物样品中的头孢噻呋残留。

Solvent-Based and Matrix-Matched Calibration Methods on Analysis of Ceftiofur Residues in Milk and Pharmaceutical Samples Using a Novel HPLC Method.

机构信息

Department of Analytical Chemistry, Faculty of Pharmacy, Anadolu University, Eskisehir, Turkey.

Central Analysis Laboratory (MERLAB), Faculty of Pharmacy, Anadolu University, Eskisehir, Turkey.

出版信息

Vet Med Sci. 2024 Nov;10(6):e70080. doi: 10.1002/vms3.70080.

Abstract

BACKGROUND

The matrix effect is accepted as one of the critical factors that affect trueness, and it is especially important in the analysis of critical compounds, such as drugs, toxins and pesticides, in complex matrices. Ceftiofur (CEF) is a leading drug used in dairy industry for pulmonary infections. Because milk has a complex matrix, which is rich in fats, proteins and many other compounds, the determination of CEF in milk products deals with issues of trueness. On the other hand, pharmaceuticals also have a complex composition as they contain not only the active pharmaceutical ingredient but also many excipients, such as preservatives and pH modifiers. Due to its frequent use, its residues can be found in meat products or exist as an excreted compound in urine, milk and so on.

OBJECTIVE

The aim of this study was to investigate the effect of different calibration methods on quantitative estimation of CEF in milk and pharmaceutical samples.

METHODS

CEF was analysed using a new HPLC method, in which separation was achieved on a C bonded fused-core silica particle column by using isocratic elution; the method was optimized by testing different chromatographic conditions and validated according to the ICH Q2(R1) and United States Pharmacopeia guidelines.

RESULTS

Interestingly, it was found that CEF signals in milk samples were higher than the ones at the same level prepared in calibration solutions with a ratio of 11.28:1.

CONCLUSION

This finding reveals the necessity of matrix-matched calibration for accurate quantitative determination of CEF in milk samples. Moreover, the milk in the market and the most used pharmaceutical formulations were analysed using the current method.

摘要

背景

基质效应被认为是影响准确度的关键因素之一,在分析复杂基质中的关键化合物(如药物、毒素和农药)时尤其重要。头孢噻呋(CEF)是乳制品行业用于肺部感染的主要药物。由于牛奶的基质复杂,富含脂肪、蛋白质和许多其他化合物,因此乳制品中 CEF 的测定涉及到准确度问题。另一方面,药物的组成也很复杂,因为它们不仅含有活性药物成分,还含有许多赋形剂,如防腐剂和 pH 调节剂。由于其频繁使用,其残留物可在肉类产品中发现,或作为尿液、牛奶等的排泄化合物存在。

目的

本研究旨在探讨不同校准方法对牛奶和药物样品中 CEF 定量估计的影响。

方法

采用新的 HPLC 方法分析 CEF,在 C 键合熔融核硅胶颗粒柱上采用等度洗脱进行分离;通过测试不同的色谱条件对方法进行优化,并根据 ICH Q2(R1) 和美国药典指南进行验证。

结果

有趣的是,发现牛奶样品中的 CEF 信号高于在与校准溶液相同水平制备的信号,比值为 11.28:1。

结论

这一发现揭示了基质匹配校准对于准确定量测定牛奶样品中 CEF 的必要性。此外,还使用当前方法分析了市场上的牛奶和最常用的药物制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b6/11487334/e652bde96c68/VMS3-10-e70080-g002.jpg

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