SBIR Phase I: A Real Time, High Sensitivity Atmospheric Benzene Vapor Monitor

SBIR 第一阶段：实时、高灵敏度大气苯蒸气监测仪

• 批准号: 1215518
• 负责人: Anthony Miller
• 金额: $ 15万
• 依托单位: Entanglement Technologies, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1215518&HistoricalAwards=false
• 关键词: SBIR; Phase; Real; Time; Sensitivity

This Small Business Innovation Research (BSIR) Phase I project will address the need for a trace benzene vapor sensor for ambient air. Benzene is a carcinogen and significant Mobile Source Air Toxic (MSAT) released during incomplete combustion of fossil fuels, and is commonly emitted from motor vehicles and many industrial sites. Entanglement Technologies proposes to determine the feasibility of developing a benzene vapor sensor with sensitivity better than 100 pptv in 30 minutes based on the combination of cavity ring-down spectroscopy (CRDS) and diffusion time-of-flight (DiTOF). This combination allows the use of the extremely sensitive CRDS technique to detect large molecules that cannot be distinguished spectrally using CRDS alone. The Phase I project will develop a prototype detector to evaluate and demonstrate the critical technologies. The broader/commercial impacts of this research are the development of a sensor with the ability to detect benzene and map its dispersal into the environment. This will directly impact health hazard mitigation, liability exposure reduction, and reduced regulatory compliance costs in numerous industries. The improved sensitivity and reduced cost of the sensor indicate strong market demand for the sensor. The technology platform will be readily extended to a wide variety of other air toxics including toluene, ethyl-benzene, and xylenes. In the long term, this technology will be applied to biomedical science, industrial process monitoring, environmental remediation and explosives detection. Diffusion-based selectivity will allow separation and quantification of the many hydrocarbon gas components in human breath, that are useful for non-invasive diagnosis of disease.

这项小型企业创新研究（BSIR）I阶段项目将满足对环境空气的追踪苯蒸气传感器的需求。苯是一种致癌物质，是在化石燃料不完全燃烧期间释放出的大量移动源空气有毒（MSAT），通常是从汽车和许多工业场所发出的。纠缠技术提议确定基于空腔降压光谱（CRD）和扩散飞行时间（DITOF）的组合，在30分钟内开发具有比100 PPTV更好的苯蒸气传感器的可行性。这种组合允许使用极敏感的CRD技术来检测仅使用CRD的频谱区分的大分子。第一阶段项目将开发一个原型检测器来评估和证明关键技术。这项研究的更广泛/商业影响是传感器的开发，具有检测苯并将其扩散到环境中的能力。这将直接影响健康危害缓解，减少责任暴露以及降低许多行业的监管合规成本。提高的灵敏度和传感器成本降低表明传感器的市场需求强劲。该技术平台将很容易扩展到其他各种空气有毒物质，包括甲苯，乙烯和二甲苯。从长远来看，该技术将应用于生物医学科学，工业过程监测，环境修复和爆炸物检测。基于扩散的选择性将允许人类呼吸中许多烃类气体成分的分离和定量，这对于疾病的非侵入性诊断很有用。