A fast, simple method for the determination of nicotine and its metabolites in human saliva was developed and validated by liquid chromatography - tandem mass spectrometry(LC - MS/MS). Human saliva was collected with Salivette(R) collection kit and the quantification of analytes was a-chieved by using nicotinemethyl-d3, cotinine-methyl-d3 and trons-S'-hydroxycotinine-methyl-ifj as internal standard under atmosphere pressure chemical ionization( APCI) mode. The pretreatment of this method was simple and fast, and all analytes were eluted within 1 min. The relative standard devia-tions (RSDs) for nicotine and its two metabolites were between 0. 29% and 4. 0% and the recovery ranged from 94% to 104% . The linear correlations were above 0. 998. Saliva, plasma and urine samples from 70 volunteers were collected and quantified by the described procedure. The classifica-tion of different smoking amount was also made using ada - boost based on the total concentration of salivary nicotine and its metabolites by a predicting accuracy of 76% . A good correlation of cotinine levels bewteen saliva and plasma ( r = 0. 92), saliva and urine (r = 0. 84) was found. The results showed that the cotinine in saliva has a longer half-life and becomes the most desirable biomarker for the evaluation of smoking exposure and nicotine uptake.%采用Salivette(@)采样管收集人体唾液,以氘代尼古丁、氘代可的宁以及3-羟基-氘代可的宁为内标,在LC - MS/MS的大气压化学电离(APCI)离子化模式下,建立了同时测定吸烟者唾液中尼古丁及其代谢物的分析方法.该法前处理简单,色谱运行时间不足1 min,尼古丁及其代谢产物的加标回收率为94％ ～ 104％,相对标准偏差为0.29％ ～4.0％,线性相关系数均大于0.998.对不同吸烟量志愿者的唾液样本进行了分析,并根据唾液中尼古丁及其代谢物的含量总和,使用ada - boost算法对不同吸烟量进行分类预测,准确度可达76％.实验结果表明,可的宁在唾液与血液(r=0.92)、唾液与尿液(r=0.84)中的浓度均具有一定的相关性,且半衰期较长,适合作为评估烟气暴露程度以及尼古丁摄入量的生化指标.
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