Collaborative research: Disorder-induced high sensitivity Raman sensor

合作研究：无序引起的高灵敏度拉曼传感器

• 批准号: 0926035
• 负责人: Andrey Chabanov
• 金额: $ 18万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926035&HistoricalAwards=false
• 关键词: Collaborative; research; Disorder; induced; sensitivity

Intellectual merit: This project is aimed at experimental and theoretical investigations of linear and nonlinear optical phenomena in the presence of multiple scattering and photon localization in random media. The amplification of weak optical signals, such as linear and nonlinear Raman scattering, due to greatly elongated wave trajectories in strongly scattering optical samples will be explored. Disordered nanostructures in GaP and InP exhibiting controlled microscopic/ mesoscopic disorder and light scattering efficiency will be employed to study their linear and nonlinear optical response. The precise material and structural characteristics in these samples will be optimized to achieve the enhancement of Raman signal that is comparable to the state-of-the-art techniques and is enough to detect environmentally significant concentrations of hazardous chemicals in water solution. The ultimate design of Raman sensor developed in this proposal will be implemented as a prototype that will be tested at the sewage facilities for continuous monitoring of the water quality. Broader Impact: This research brings together collaborators from optical and material sciences to create a unique climate for the active student participation in research and science/engineering education and for the preparation of the future scientists, engineers and educators. Students from the largest and diverse urban centers in Texas and Wisconsin, including those of underrepresented groups, will be able to gain interdisciplinary experience and training in optics, materials, biological and chemical sciences. The significant improvement of chemical sensor architecture, aimed as a part of the proposed research, will have an immediate impact on society and economy through established partnerships with local industrial companies and communities.

智力优势：本项目旨在对随机介质中存在多次散射和光子局域化的线性和非线性光学现象进行实验和理论研究。我们将探索由于强散射光学样品中的波轨迹大大拉长而导致的弱光信号的放大，例如线性和非线性拉曼散射。GaP和InP中的无序纳米结构具有可控的微观/介观无序性和光散射效率，将被用来研究它们的线性和非线性光学响应。这些样品中精确的材料和结构特征将得到优化，以实现与最先进技术相媲美的拉曼信号增强，并足以检测水溶液中对环境有影响的危险化学品浓度。在这项建议中开发的拉曼传感器的最终设计将作为原型实施，将在污水处理设施进行测试，以持续监测水质。更广泛的影响：这项研究汇集了光学和材料科学的合作者，为积极参与研究和科学/工程教育的学生创造了独特的氛围，并为未来的科学家、工程师和教育工作者做好了准备。来自德克萨斯州和威斯康星州最大和多样化的城市中心的学生，包括那些代表人数较少的群体，将能够获得光学、材料、生物和化学科学方面的跨学科经验和培训。作为拟议研究的一部分，化学传感器架构的重大改进将通过与当地工业公司和社区建立伙伴关系，对社会和经济产生直接影响。