Wei Binnian, Feng June, Rehmani Imran J, Miller Sharyn, McGuffey James E, Blount Benjamin C, Wang Lanqing
Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Clin Chim Acta. 2014 Sep 25;436:290-7. doi: 10.1016/j.cca.2014.06.012. Epub 2014 Jun 23.
Most sample preparation methods characteristically involve intensive and repetitive labor, which is inefficient when preparing large numbers of samples from population-scale studies.
This study presents a robotic system designed to meet the sampling requirements for large population-scale studies. Using this robotic system, we developed and validated a method to simultaneously measure urinary anatabine, anabasine, nicotine and seven major nicotine metabolites: 4-Hydroxy-4-(3-pyridyl)butanoic acid, cotinine-N-oxide, nicotine-N-oxide, trans-3'-hydroxycotinine, norcotinine, cotinine and nornicotine. We analyzed robotically prepared samples using high-performance liquid chromatography (HPLC) coupled with triple quadrupole mass spectrometry in positive electrospray ionization mode using scheduled multiple reaction monitoring (sMRM) with a total runtime of 8.5 min.
The optimized procedure was able to deliver linear analyte responses over a broad range of concentrations. Responses of urine-based calibrators delivered coefficients of determination (R(2)) of >0.995. Sample preparation recovery was generally higher than 80%. The robotic system was able to prepare four 96-well plate (384 urine samples) per day, and the overall method afforded an accuracy range of 92-115%, and an imprecision of <15.0% on average.
The validation results demonstrate that the method is accurate, precise, sensitive, robust, and most significantly labor-saving for sample preparation, making it efficient and practical for routine measurements in large population-scale studies such as the National Health and Nutrition Examination Survey (NHANES) and the Population Assessment of Tobacco and Health (PATH) study.
大多数样品制备方法的特点是需要大量重复性劳动,在从大规模人群研究中制备大量样品时效率低下。
本研究提出了一种机器人系统,旨在满足大规模人群研究的采样要求。使用该机器人系统,我们开发并验证了一种同时测量尿中阿那他滨、新烟草碱、尼古丁和七种主要尼古丁代谢物的方法:4-羟基-4-(3-吡啶基)丁酸、可替宁-N-氧化物、尼古丁-N-氧化物、反式-3'-羟基可替宁、去甲可替宁、可替宁和去甲尼古丁。我们使用高效液相色谱(HPLC)结合三重四极杆质谱,在正电喷雾电离模式下,采用预定多反应监测(sMRM)对机器人制备的样品进行分析,总运行时间为8.5分钟。
优化后的程序能够在很宽的浓度范围内提供线性分析物响应。基于尿液的校准物的响应给出的决定系数(R²)>0.995。样品制备回收率一般高于80%。该机器人系统每天能够制备四个96孔板(384个尿液样本),整个方法的准确度范围为92-115%,平均不精密度<15.0%。
验证结果表明,该方法准确、精密、灵敏、稳健,最显著的是在样品制备方面节省人力,使其对于大规模人群研究(如美国国家健康与营养检查调查(NHANES)和烟草与健康人口评估(PATH)研究)中的常规测量高效且实用。