Exhaled breath drug detection using differential mobility spectrometry

项目摘要 我们已进行了一项试验性研究，采用了本建议中支持 一个精心选择的心理/性能任务集可以用来预测驾驶障碍的概念， 一个模拟程序。将这两种方法添加到现有的STTR项目中将显著增加价值 的数据集中于开发THC及其代谢物的呼吸测试，可用于现场或 领域本方法的优点是，性能指标和量化THC 可以在真实的时间内收集个体体内的浓度，而不会延迟接收结果， 这是一个更有效和更准确的衡量受损驾驶执法使用。此外，委员会认为， 这项研究将提供各种剂量的大麻对各种技能的影响的数据， 每天都有挑战性的驾驶场景。最重要的是，这项研究将提供有关 大麻的残留影响可能在驾驶障碍中发挥重要作用，即使主观影响 几个小时内就会消退这些信息将是非常有价值的作出明智的决定驾驶 服用医用大麻的个人的表现，可能在发展新的认知能力方面发挥作用。 大麻使用障碍的行为疗法（Hill等人，2013年）。

Project Summary We have conducted a pilot study using some of the elements in the present proposal that provide support for the notion that a well selected set of psychomotor/performance tasks can be used to predict driving impairment via a simulated program. Adding these two approaches to the existing STTR project will add significantly to the value of the data focused on developing a breath test for THC and its metabolites that could be used on-site or in the field. The advantage of the present approach is that both measures of performance and quantified THC concentrations in the individual’s body can be collected in real time with no delays in receiving the results, making this a much more efficient and accurate measure of impaired driving for law enforcement’s use. Furthermore, this study will provide data on the effects of various doses of cannabis on a wide range of skills associated with every day and challenging driving scenarios. Most importantly, this study will provide valuable information on the residual effects of cannabis that likely play an important role in impaired driving, even though subjective effects subside within a few hours. Such information will be extremely valuable for making informed decisions on driving performance by individuals who take medical marijuana and may play a role in developing novel cognitive behavioral therapies for cannabis use disorders (Hill et al., 2013).