Exhaled breath drug detection using differential mobility spectrometry
Exhaled breath drug detection using differential mobility spectrometry
批准号:
10771661
负责人:
Jacob Golde
金额:
$10.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-01 至 2024-06-30
关键词:
AcuteAutomobile DrivingBloodBreath TestsCannabisCognitive TherapyDataDoseElementsExhalationHourIndividualLaw EnforcementMeasuresMedical MarijuanaPerformancePilot ProjectsPlayProtocols documentationPsychomotor PerformanceResearchResidual stateRoleSiteSmall Business Technology Transfer ResearchSpectrometryTHC concentrationTask PerformancesTimecannabis administrationdrug testingimpaired driving performancemarijuana use disordernovelprogramsskills
中文摘要
点击翻译按钮获取中文摘要
英文摘要
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).
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Machine Learning Based Differential Mobility Spectrometry Library Development
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批准号:10696533
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项目类别:
-
资助金额:$27.57万
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财政年份:2023
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负责人:Jacob Golde
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依托单位:
Exhaled breath drug detection using differential mobility spectrometry
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批准号:10193627
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项目类别:
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资助金额:$5.93万
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财政年份:2020
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负责人:Jacob Golde
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依托单位:
Exhaled breath drug detection using differential mobility spectrometry
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批准号:10327499
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项目类别:
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资助金额:$91.58万
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财政年份:2019
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负责人:Jacob Golde
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依托单位:
Exhaled breath drug detection using differential mobility spectrometry
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批准号:10437033
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项目类别:
-
资助金额:$48.09万
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财政年份:2019
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负责人:Jacob Golde
-
依托单位:
Exhaled breath drug detection using differential mobility spectrometry
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批准号:10059295
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项目类别:
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资助金额:$22.49万
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财政年份:2019
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负责人:Jacob Golde
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依托单位:
海外基金