首页> 外文期刊>Journal of separation science. >Method development validation for corticoids in animal feed samples by liquid chromatography using a monolithic column.
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Method development validation for corticoids in animal feed samples by liquid chromatography using a monolithic column.

机译:使用整体色谱柱通过液相色谱法对动物饲料样品中的皮质类固醇进行方法开发验证。

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摘要

A LC method for corticosteroids (CC) determination in poultry feed using a Chromolith column and UV detection has been developed and validated. The method development involved the optimization of different hydro-organic mobile phases using methanol or ACN as organic modifiers, flow rate, and temperature. The optimum separation was achieved at 40 degrees C using ACN/water (21:79 v/v) as mobile phase and 3 mL/min flow rate, allowing the separation to baseline of four out of seven CC in about 10 min. Prior to LC, a sample preparation procedure previously assayed for anabolics was used. It includes a leaching process, saponification of the esters from fatty acids, and SPE. Method validation was carried out according to the EU criteria established for quantitative screening methods. The extraction efficiencies, decision limits (CCalpha), and detection capabilities (CCbeta) for these compounds were in the ranges of 86-92%, 27-36 mug/kg, and 33-43 mug/kg, respectively. The repeatability and the within-laboratory reproducibility at 1, 1.5, and 2 CCbeta concentration levels were smaller than 9.0, 5.0, and 4.2% and 9.4, 6.4, and 4.9%, respectively. The CV values of the robustness test were less than 3.8% and the accuracy was in the range of 98-103%. The proposed method was applied to other feed with satisfactory results.
机译:已经开发并验证了使用铬绿柱和紫外检测测定家禽饲料中皮质类固醇(CC)的LC方法。该方法的开发涉及使用甲醇或乙腈作为有机改性剂,流速和温度来优化不同的有机氢流动相。使用ACN /水(21:79 v / v)作为流动相和3 mL / min的流速,在40摄氏度下实现了最佳分离,从而在大约10分钟内将7个CC中的4个分离至基线。在LC之前,使用先前测定过的合成代谢成分的样品制备程序。它包括浸出过程,脂肪酸酯的皂化和SPE。方法验证是根据针对定量筛选方法建立的欧盟标准进行的。这些化合物的提取效率,决策极限(CCalpha)和检测能力(CCbeta)分别在86-92%,27-36马克杯/千克和33-43马克杯/千克的范围内。在1、1.5和2 CCbeta浓度水平下,重复性和实验室内再现性分别小于9.0、5.0和4.2%和9.4、6.4和4.9%。健壮性测试的CV值小于3.8%,准确度在98-103%的范围内。将该方法应用于其他饲料中,效果满意。

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