Exhaled breath drug detection using differential mobility spectrometry

使用差分迁移光谱法检测呼出气体药物

• 批准号: 10771661
• 负责人: Jacob Golde
• 金额: $ 10万
• 依托单位: VOX BIOMEDICAL LLC
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10771661
• 关键词: Acute; Automobile Driving; Blood; Breath Tests; Cannabis; Cognitive Therapy; Data; Dose; Elements; Exhalation; Hour; Individual; Law Enforcement; Measures; Medical Marijuana; Performance; Pilot Projects; Play; Protocols documentation; Psychomotor Performance; Research; Residual state; Role; Site; Small Business Technology Transfer Research; Spectrometry; THC concentration; Task Performances; Time; cannabis administration; drug testing; impaired driving performance; marijuana use disorder; novel; programs; skills

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).

项目摘要 我们已经利用本提案中的一些要素进行了一项试点研究，这些要素为 一组经过精心挑选的精神运动/操作任务可以用来预测驾驶损害 一个模拟的程序。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及其代谢物的呼气测试，可在现场或在 菲尔德。本方法的优点是，绩效衡量和量化的THC 可以实时收集个体体内的浓度，而不会延迟接收结果，从而使 这是一种更有效、更准确的受损驾驶衡量标准，供执法部门使用。此外， 这项研究将提供不同剂量的大麻对与以下各项相关的广泛技能的影响的数据 每天和挑战驾驶场景。最重要的是，这项研究将提供有关 大麻的残留效应可能在受损的驾驶中发挥重要作用，即使是主观影响 几个小时内就会平息下来。这些信息对于做出明智的驾驶决策非常有价值。 服用医用大麻的人的表现可能在发展新认知方面发挥作用 大麻使用障碍的行为疗法(Hill等人，2013年)。