Non-invasive Blood Alcohol Sensor for Emergency Room Applications

适用于急诊室应用的无创血液酒精传感器

基本信息

  • 批准号:
    8902744
  • 负责人:
  • 金额:
    $ 73.93万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-08-10 至 2017-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Project Summary Accurate quantification of alcohol and drugs of abuse intoxication in emergency rooms (ERs) is an important screening step for a precise diagnosis and hence for prompt treatment. Some severe emergencies such as traumatic head injury, diabetes, and stroke can be misdiagnosed in the absence of screening for alcohol and drug intoxication; reliable measurement of alcohol and drug intake levels would improve diagnosis and subsequent treatment in these cases. Most methods now used in emergency rooms either require patient cooperation and interaction, such as a Breathalyzer, or are invasive and have prolonged processing times, such as blood and urine sample analysis, making them inappropriate for ER applications. In particular, patients suffering from drug and alcohol intoxication are often not able, or are unwilling, to interact with medical personnel, hence the need for easier sampling and reliable measurement. To address this need, Intelligent Optical Systems is collaborating with Dr. Robert Woolard of Texas Tech University Health Science Center (TTUHSC) Emergency Medicine Department, a recognized expert in alcohol and drugs of abuse in ER-related studies, in our development for a non-invasive saliva-based analyzer for ER applications. The analyzer measures emissions of fluorescent-labeled selective reagents to detect alcohol and drugs of abuse in saliva samples. Although saliva monitoring is an established area for alcohol and drugs of abuse, accurate quantitative measurements are still needed to quantify the intoxication levels in admitted ER patients without relying on visual judgments. In Phase I we demonstrated the feasibility of achieving reproducible, highly sensitive measurements of alcohol levels in buffer and modeled saliva, as well as in 30 human saliva samples obtained by Dr. Woolard and TTUHSC that were tested and compared to blood levels. In Phase II we will test an additional 100 human samples to expand the statistical data and determine sensor accuracy and precision levels, introduce a method for quantitative (high/mid/low) measurement of six drugs of abuse (opiates, cocaine, amphetamines, THC, benzodiazepines, barbiturates), and develop the portable readout system. The objective is a simple yet highly accurate optical detection platform suitable for bedside ER applications, with further potential for widespread clinical monitoring applications in many healthcare settings.
描述(由申请人提供): 项目摘要准确地量化酒精和急诊室滥用中毒药物(ERS)是进行精确诊断的重要筛查步骤,因此可以及时治疗。在没有筛查酒精和药物中毒的情况下,可能会误诊一些严重的紧急情况,例如头部损伤,糖尿病和中风。在这些情况下,可靠测量酒精和药物摄入水平将改善诊断和随后的治疗。现在,急诊室中使用的大多数方法都需要患者的合作和相互作用,例如呼吸分析仪,或者具有侵入性并具有延长的加工时间,例如血液和尿液样本分析,使其不适合ER应用。特别是,患有毒品和酒精中毒的患者通常无法或不愿意与医务人员互动,因此需要更容易的采样和可靠的测量。为了满足这一需求,智能光学系统正在与德克萨斯理工大学健康科学中心(TTUHSC)急诊医学部的罗伯特·伍德(Robert Woolard)合作,这是急诊室研究中公认的酒精和滥用药物专家,用于我们的非侵入性唾液基于ER应用的分析仪的开发。分析仪测量了荧光标记的选择性试剂的排放,以检测唾液样品中的酒精和滥用药物。尽管唾液监测是酒精和滥用药物的既定领域,但仍需要准确的定量测量来量化入院患者的中毒水平,而无需依赖视觉判断。在第一阶段,我们证明了在缓冲液和建模的唾液中获得可再现的,高度敏感的酒精水平的可行性,以及在Woolard和TTUHSC博士获得的30种人类唾液样本中,并与血液水平进行了比较。在第二阶段,我们将测试另外100个人类样本,以扩大统计数据并确定传感器的准确性和精度水平,引入了一种对六种滥用药物进行定量(高/中/低)测量的方法(Opiates,Cocaine,Cocaine,Amphetamine,THC,Benzodiazepines,Barbitines,barbitrates,barbitrates),并开发便携式读取系统。该目标是一个简单而又高度准确的光学检测平台,适用于床头ER应用,在许多医疗机构中,具有广泛的临床监测应用可能性的进一步潜力。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Manal Beshay其他文献

Manal Beshay的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Manal Beshay', 18)}}的其他基金

Novel Saliva-based Renal Function Test Platform
新型唾液肾功能检测平台
  • 批准号:
    9789463
  • 财政年份:
    2018
  • 资助金额:
    $ 73.93万
  • 项目类别:
Pulse Oximeter for Newborn Screening
用于新生儿筛查的脉搏血氧仪
  • 批准号:
    8454540
  • 财政年份:
    2013
  • 资助金额:
    $ 73.93万
  • 项目类别:
Salivary-based Bone-loss Marker Detection Platform for Point-of-Care Screening
用于即时筛查的基于唾液的骨丢失标记物检测平台
  • 批准号:
    8250669
  • 财政年份:
    2012
  • 资助金额:
    $ 73.93万
  • 项目类别:
Salivary-Based Bone-Loss Marker Detection Platform for Point-of-Care Screening
用于即时筛查的基于唾液的骨丢失标记物检测平台
  • 批准号:
    8904652
  • 财政年份:
    2012
  • 资助金额:
    $ 73.93万
  • 项目类别:
Non-invasive Blood Alcohol Sensor for Emergency Room Applications
适用于急诊室应用的无创血液酒精传感器
  • 批准号:
    8593115
  • 财政年份:
    2011
  • 资助金额:
    $ 73.93万
  • 项目类别:
Non-invasive Blood Alcohol Sensor for Emergency Room Applications
适用于急诊室应用的无创血液酒精传感器
  • 批准号:
    8125190
  • 财政年份:
    2011
  • 资助金额:
    $ 73.93万
  • 项目类别:
Chemical Identification Device for First Responders
急救人员化学识别装置
  • 批准号:
    8058175
  • 财政年份:
    2005
  • 资助金额:
    $ 73.93万
  • 项目类别:
Chemical Identification Device for First Responders
急救人员化学识别装置
  • 批准号:
    8328568
  • 财政年份:
    2005
  • 资助金额:
    $ 73.93万
  • 项目类别:

相似国自然基金

时空序列驱动的神经形态视觉目标识别算法研究
  • 批准号:
    61906126
  • 批准年份:
    2019
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
  • 批准号:
    41901325
  • 批准年份:
    2019
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
  • 批准号:
    61802133
  • 批准年份:
    2018
  • 资助金额:
    23.0 万元
  • 项目类别:
    青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
  • 批准号:
    61872252
  • 批准年份:
    2018
  • 资助金额:
    64.0 万元
  • 项目类别:
    面上项目
针对内存攻击对象的内存安全防御技术研究
  • 批准号:
    61802432
  • 批准年份:
    2018
  • 资助金额:
    25.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Development and Evaluation of an Avatar Guided Mobile Health for Emerging Adults
针对新兴成年人的化身引导移动健康的开发和评估
  • 批准号:
    10843991
  • 财政年份:
    2023
  • 资助金额:
    $ 73.93万
  • 项目类别:
Evaluation of paramedic decision making in triage and transport of adults with acute uncomplicated alcohol intoxication to the emergency department versus sobering center
急性单纯性酒精中毒成人急诊室与清醒中心的分诊和转运的护理决策评估
  • 批准号:
    10646487
  • 财政年份:
    2022
  • 资助金额:
    $ 73.93万
  • 项目类别:
Evaluation of paramedic decision making in triage and transport of adults with acute uncomplicated alcohol intoxication to the emergency department versus sobering center
急性无并发症酒精中毒成人急诊室与清醒中心的分诊和转运中护理决策的评估
  • 批准号:
    10448973
  • 财政年份:
    2022
  • 资助金额:
    $ 73.93万
  • 项目类别:
Development and evaluation of an avatar-guided mobile health intervention for emerging adults with alcohol misuse and suicidality
针对酗酒和自杀倾向的新兴成年人开发和评估虚拟化身引导的移动健康干预措施
  • 批准号:
    10573198
  • 财政年份:
    2022
  • 资助金额:
    $ 73.93万
  • 项目类别:
Development and evaluation of an avatar-guided mobile health intervention for emerging adults with alcohol misuse and suicidality
针对酗酒和自杀倾向的新兴成年人开发和评估虚拟化身引导的移动健康干预措施
  • 批准号:
    10369920
  • 财政年份:
    2022
  • 资助金额:
    $ 73.93万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了