SBIR Phase I: Rydberg Fingerprint Spectroscopy for Sensitive Identification of Isomerically-Dependent Environmental Pollutants. Test Case: Dioxins

SBIR 第一阶段：里德伯指纹光谱用于灵敏识别异构相关环境污染物。

• 批准号: 1013149
• 负责人: Joseph Geiser
• 金额: $ 14.98万
• 依托单位: Ryon Technologies Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1013149&HistoricalAwards=false
• 关键词: SBIR; Phase; Rydberg; Fingerprint; Spectroscopy

This SBIR Phase I project will develop a spectroscopic device for detecting and discriminating congeners of isomeric compounds based on their Rydberg spectroscopic "fingerprints." It enables the development of a newanalytical tool for the detection of dioxins which are environmental contaminants that arise from combustion of organic materials in the presence of chlorine. Dioxins build up in human tissues, causing long-term health problems including cancer, diabetes, endometriosis and others. The toxicity of many isomers is unknown, as it is difficult to selectively identify many isomeric forms of dioxins. Current analytical methods involve mass spectrometry (MS), or tandem-MS techniques. However, the former cannot identify individual isomers, while the latter lacks sufficient sensitivity to reach low detection limits. The broader/commercial impact of the project will be to potentially impact the $6 billion worldwide market for mass spectrometers, of which the investigators expect to capture 1 percent, or $60 million. In addition, differentiation of isomeric forms with high sensitivity in a compact form-factor would be a new and welcome capability in multiple scientific fields, including air pollution monitoring, toxicology, and exposure assessment.

这个SBIR I期项目将开发一种光谱设备，用于根据其Rydberg光谱型“指纹”来检测和区分异构化合物的同类物。 它可以开发一种新的分析工具，用于检测二恶英，这种二恶英是在氯存在下燃烧有机材料而产生的环境污染物。二恶英在人体组织中积聚，引起长期健康问题，包括癌症，糖尿病，子宫内膜异位症等。许多异构体的毒性是未知的，因为很难选择性地识别许多异构形式的二恶英。当前的分析方法涉及质谱（MS）或串联MS技术。但是，前者无法识别单个异构体，而后者缺乏足够的灵敏度无法达到低检测限。该项目的更广泛/商业影响将是可能影响质谱仪的60亿美元全球市场，研究人员预计将捕获1％或6000万美元。 此外，在紧凑的形式因子中具有较高灵敏度的异构体形式的差异将是多个科学领域的新型和欢迎能力，包括空气污染监测，毒理学和暴露评估。