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利用在线湍流流色谱进行尿液中全自动毒理学 LC-MS(n) 筛选系统的开发。

Development of a fully automated toxicological LC-MS(n) screening system in urine using online extraction with turbulent flow chromatography.

机构信息

Institute for Clinical Chemistry, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland.

出版信息

Anal Bioanal Chem. 2011 Apr;400(1):89-100. doi: 10.1007/s00216-010-4560-4. Epub 2010 Dec 21.

Abstract

In clinical toxicology, fast and specific methods are necessary for the screening of different classes of drugs. Therefore, an online extraction high-performance liquid chromatography coupled to mass spectrometry (LC-MS(n)) screening method using a MS(2) and MS(3) spectral library for the identification of xenobiotic substances has been developed and validated. Samples were run twice, once native and once after enzymatic hydrolysis. Internal standards and buffer were added to the urine samples. Following centrifugation, the supernatant was injected into the system. Extraction was performed by online turbulent flow chromatography. The chromatographic separation was achieved using a Phenyl/Hexyl column. For detection, a linear ion trap, equipped with an APCI interface, was used and the different compounds were identified using a MS(2) and MS(3) spectral library containing 356 compounds. The turnaround time to report the results of the screening including hydrolysis was approximately 2 h. About 92% of the 356 substances could be identified with a limit of identification below 100 ng/ml. The recovery and matrix effect experiments showed suitable results, and in six drug-free urine samples of healthy volunteers analyzed for selectivity, no substances have been identified. Carryover could be well controlled, and the method had a good reproducibility. The comparison of the results of 103 real patient urine samples showed a good agreement between the existing GC-MS and LC-MS methods with offline extraction and the new online extraction LC-MS(n) screening method. The presented method allows a fast and sensitive analysis of a broad range of compounds.

摘要

在临床毒理学中,需要快速且特定的方法来筛选不同类别的药物。因此,开发并验证了一种在线提取高效液相色谱-串联质谱(LC-MS(n))筛选方法,该方法使用 MS(2) 和 MS(3) 光谱库来鉴定外源性物质。样品进行两次运行,一次为原始样本,一次为酶解后样本。将内标物和缓冲液加入尿液样本中。离心后,将上清液注入系统。通过在线湍流色谱进行提取。使用苯基/己基柱实现色谱分离。使用配备 APCI 接口的线性离子阱进行检测,并使用包含 356 种化合物的 MS(2) 和 MS(3) 光谱库来鉴定不同的化合物。报告筛选结果(包括水解)的周转时间约为 2 小时。大约 92%的 356 种物质可以通过低于 100ng/ml 的鉴定限进行鉴定。回收率和基质效应实验显示出合适的结果,在对 6 份健康志愿者的无药物尿液样本进行选择性分析时,未鉴定出任何物质。可有效控制交叉污染,方法重现性良好。对 103 份实际患者尿液样本的结果进行比较,表明现有的 GC-MS 和离线提取的 LC-MS 方法与新的在线提取 LC-MS(n)筛选方法之间具有良好的一致性。该方法可快速灵敏地分析广泛的化合物。

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