Cell-Based Olfactory Sensing for Biometrics [48U08UMDabsh]

基于细胞的生物识别嗅觉传感 [48U08UMDabsh]

• 批准号: 0813773
• 负责人: Pamela Abshire
• 金额: $ 19.1万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0813773&HistoricalAwards=false
• 关键词: Cell; Based; Olfactory; Sensing; Biometrics

The gold standard against which chemical sensors are compared is the dog?s nose. However, dogs are expensive to train and can only be used a few hours per day. By detecting the electrical signals produced by olfactory sensory neurons (OSNs), it should be possible to achieve high-sensitivity, high-specificity, high-speed, stand-off detection of trace amounts of compounds associated with volatile human compounds characteristic of gender, stress, individual ?fingerprint?, and various medical conditions. The team plans to develop a miniaturized system for human biometric characterization using, initially immortalized cell lines for detection of human compounds and then developing techniques for direct detection of airborne odorants using artificial mucous, thin membranes, continuous perfusion with water or a combination. Cell-based chemical sensors will have broad societal benefits through diverse applications, outside of biometric detection: explosives detection, monitoring food and air, odor-based medical diagnosis, drug detection in airports, and screening of pharmaceuticals, to name a few. This project will support two full time graduate research assistants. The PIs are actively engaged in educating graduate and undergraduate students and interdisciplinary curricular development. The PIs have demonstrated strong track records of mentoring and supporting students from underrepresented groups and of developing and supporting programs that train and promote these students.

对比化学传感器的黄金标准是狗？年代的鼻子。然而，狗是昂贵的训练，每天只能使用几个小时。通过检测嗅觉感觉神经元（OSNs）产生的电信号，应该有可能实现高灵敏度、高特异性、高速、远距离检测痕量与挥发性人体化合物相关的化合物，这些化合物具有性别、压力、个体指纹等特征。以及各种医疗状况。该团队计划开发一种用于人体生物特征表征的小型化系统，最初使用永生化细胞系来检测人体化合物，然后开发直接检测空气中气味的技术，使用人工粘液、薄膜、连续灌注水或两者的组合。基于细胞的化学传感器将通过生物识别检测以外的各种应用产生广泛的社会效益：爆炸物检测、监测食品和空气、基于气味的医疗诊断、机场药物检测和药物筛选，等等。本项目将支持两名全职研究生研究助理。pi积极参与研究生和本科生的教育以及跨学科课程的开发。在指导和支持来自代表性不足群体的学生，以及制定和支持培训和促进这些学生的项目方面，私人顾问机构表现出了良好的记录。