SBIR Phase I: High Sensitivity Raman Spectrometer

SBIR 第一阶段：高灵敏度拉曼光谱仪

• 批准号: 9960108
• 负责人: Stuart Farquharson
• 金额: $ 9.96万
• 依托单位: Advanced Fuel Research, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-01-01 至 2000-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9960108&HistoricalAwards=false
• 关键词: SBIR; Phase; Sensitivity; Raman; Spectrometer

This Small Business Innovation Research Phase I project will design and test a hybrid Raman spectrometer suitable for 'on-demand' or continuous process monitoring. This will be accomplished by employing an innovative design that overcomes the limitations traditionally associated with Raman spectroscopy: (1) long-term instrument stability, (2) fluorescence interference, (3) wavelength reproducibility, and (4) sensitivity. A unique combination of components and internal diagnostics will allow greater than 1000 hours of unattended operation. The instrument will be rugged, compact, low-maintenance, require minimum power, and as such, suitable for numerous industrial applications. Phase I will demonstrate the ability of the proposed instrument to overcome all of the listed limitations. The Phase I results will be used to build a prototype during Phase II suitable for customer testing in Phase III.Raman spectroscopy is a very general technique and fiber optic probes will allow integration into a broad range of applications. The long-term stability of the proposed Raman system would make it ideal for process monitoring and control in the following industries: chemical, petrochemical, polymer, composites, pharmaceutical, food processing, environmental and semiconductor industries. It would also be ideal for health monitoring and fieldwork.

这个小企业创新研究第一阶段项目将设计和测试一种适合“按需”或连续过程监测的混合拉曼光谱仪。这将通过采用一种创新的设计来实现，该设计克服了传统上与拉曼光谱相关的局限性：(1)长期仪器稳定性，(2)荧光干扰，(3)波长可重复性，(4)灵敏度。组件和内部诊断的独特组合将允许超过1000小时的无人值守操作。该仪器坚固，紧凑，低维护，需要最小的功率，因此，适用于许多工业应用。第一阶段将展示拟议的工具克服所有列出的限制的能力。第一阶段的结果将用于在第二阶段构建适合第三阶段客户测试的原型。拉曼光谱是一种非常通用的技术，光纤探针将允许集成到广泛的应用中。所提出的拉曼系统的长期稳定性将使其成为以下行业过程监测和控制的理想选择：化学，石化，聚合物，复合材料，制药，食品加工，环境和半导体行业。它也是健康监测和野外工作的理想选择。