首页> 外文期刊>The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry >Simultaneous determination of the tobacco smoke uptake parameters nicotine, cotinine and thiocyanate in urine, saliva and hair, using gas chromatography-mass spectrometry for characterisation of smoking status of recently exposed subjects
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Simultaneous determination of the tobacco smoke uptake parameters nicotine, cotinine and thiocyanate in urine, saliva and hair, using gas chromatography-mass spectrometry for characterisation of smoking status of recently exposed subjects

机译:使用气相色谱-质谱法同时测定近期暴露对象的吸烟状况,同时测定尿液,唾液和头发中的烟草烟雾吸收参数尼古丁,可替宁和硫氰酸盐

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A method using gas chromatography (GC)-mass spectrometry ( MS) for the simultaneous determination of the smoke uptake parameters thiocyanate, nicotine and cotinine in human tissues is reported. Nicotine, cotinine and thiocyanate, in combination with a phase-transfer catalyst, were extracted from urine, saliva and hair into dichloromethane (DCM). Thiocyanate was alkylated in the DCM-layer to form a pentafluorobenzyl derivative. The biochemical markers in DCM were directly injected into the GC system and separated on a DB-1MS column using a 9.4 min temperature program. The method was validated in urine and saliva between the limits of quantitation (1.0-15 mug ml(-1) thiocyanate, 0.010 - 3.0 mug ml(-1) nicotine and cotinine in urine, 0.010 - 1.0 mug ml(-1) nicotine and cotinine in saliva). The calibration curves were found to be linear (r > 0.996), the within- and between-day accuracy's were 83 - 120%, the repeatability coefficients of variation were 3 - 20% and the limits of detection were 0.060 ng ml(-1) thiocyanate and 0.60 ng ml(-1) nicotine and cotinine. The results of the analysis of the biomarkers in the urine of 44 volunteers were used to develop a predictive model for smoking status, using discriminant analysis. The classification model correctly classified 93.2% of cross-validated grouped cases. Saliva samples were used to confirm the results of the classification method. [References: 34]
机译:报道了一种使用气相色谱(GC)-质谱(MS)同时测定人体组织中烟雾吸收参数硫氰酸盐,尼古丁和可替宁的方法。将尼古丁,可替宁和硫氰酸盐与相转移催化剂一起从尿液,唾液和头发中提取到二氯甲烷(DCM)中。硫氰酸盐在DCM层中被烷基化,形成五氟苄基衍生物。将DCM中的生化标记物直接注入GC系统,并使用9.4分钟的温度程序在DB-1MS色谱柱上进行分离。该方法在尿液和唾液中的定量限之间得到验证(1.0-15马克杯硫氰酸盐(-1),0.010-3.0马克杯(-1)烟碱和尿液中的可替宁,0.010-1.0马克杯(-1)烟碱和唾液中的可替宁)。发现校准曲线为线性(r> 0.996),日内和日间精度为83-120%,变异的重复性系数为3-20%,检出限为0.060 ng ml(-1) )硫氰酸盐和0.60 ng ml(-1)烟碱和可替宁。通过判别分析,将44名志愿者尿液中生物标志物的分析结果用于建立吸烟状况的预测模型。分类模型正确地对93.2%的交叉验证分组病例进行了分类。唾液样本用于确认分类方法的结果。 [参考:34]

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