Tretzel Laura, Thomas Andreas, Piper Thomas, Hedeland Mikael, Geyer Hans, Schänzer Wilhelm, Thevis Mario
Institute of Biochemistry, Center for Preventive Doping Research, German Sport University Cologne, Germany.
National Veterinary Institute, Department of Chemistry, Uppsala, Sweden.
J Pharm Biomed Anal. 2016 May 10;123:132-40. doi: 10.1016/j.jpba.2016.02.009. Epub 2016 Feb 10.
Dried blood spots (DBS) represent a sample matrix collected under minimal-invasive, straightforward and robust conditions. DBS specimens have been shown to provide appropriate test material for different analytical disciplines, e.g., preclinical drug development, therapeutic drug monitoring, forensic toxicology and diagnostic analysis of metabolic disorders in newborns. However, the sample preparation has occasionally been reported as laborious and time consuming. In order to minimize the manual workload and to substantiate the suitability of DBS for high sample-throughput, the automation of sample preparation processes is of paramount interest. In the current study, the development and validation of a fully automated DBS extraction method coupled to online solid-phase extraction using the example of nicotine, its major metabolites nornicotine, cotinine and trans-3'-hydroxycotinine and the tobacco alkaloids anabasine and anatabine is presented, based on the rationale that the use of nicotine-containing products for performance-enhancing purposes has been monitored by the World Anti-Doping Agency (WADA) for several years. Automation-derived DBS sample extracts were directed online to liquid chromatography high resolution/high mass accuracy tandem mass spectrometry, and target analytes were determined with support of four deuterated internal standards. Validation of the method yielded precise (CV <7.5% for intraday and <12.3% for interday measurements) and linear (r(2)>0.998) results. The limit of detection was established at 5 ng mL(-1) for all studied compounds, the extraction recovery ranged from 25 to 44%, and no matrix effects were observed. To exemplify the applicability of the DBS online-SPE LC-MS/MS approach for sports drug testing purposes, the method was applied to authentic DBS samples obtained from smokers, snus users, and e-cigarette users. Statistical evaluation of the obtained results indicated differences in metabolic behavior depending on the route of administration (inhalative versus buccal absorption) in terms of the ratio of nicotine and nornicotine.
干血斑(DBS)是在微创、直接且可靠的条件下采集的样本基质。已证明DBS标本可为不同分析学科提供合适的测试材料,例如临床前药物开发、治疗药物监测、法医毒理学以及新生儿代谢紊乱的诊断分析。然而,样本制备偶尔被报道既费力又耗时。为了尽量减少人工工作量并证实DBS适用于高通量样本,样本制备过程的自动化至关重要。在本研究中,以尼古丁及其主要代谢物去甲烟碱、可替宁和反式-3'-羟基可替宁以及烟草生物碱新烟草碱和假木贼碱为例,介绍了一种与在线固相萃取相结合的全自动DBS提取方法的开发和验证,其依据是世界反兴奋剂机构(WADA)多年来一直在监测使用含尼古丁产品来提高成绩的情况。自动化衍生的DBS样本提取物直接在线进入液相色谱高分辨率/高质量准确度串联质谱,在四种氘代内标的支持下测定目标分析物。该方法的验证产生了精确的结果(日内CV<7.5%,日间测量CV<12.3%)和线性结果(r²>0.998)。所有研究化合物的检测限均设定为5 ng mL⁻¹,提取回收率在25%至44%之间,未观察到基质效应。为了举例说明DBS在线固相萃取液相色谱-串联质谱法在运动药物检测中的适用性,该方法应用于从吸烟者、鼻烟使用者和电子烟使用者获得的真实DBS样本。对所得结果的统计评估表明,根据给药途径(吸入与颊部吸收),尼古丁和去甲烟碱的比例在代谢行为上存在差异。