Cell-Based Olfactory Sensing for Biometrics [48U08UMDabsh]

化学传感器比较的黄金标准是狗？S的鼻子。然而，狗的训练费用很高，而且每天只能用几个小时。通过检测嗅觉神经元(OSNs)产生的电信号，可以实现对痕量化合物的高灵敏度、高特异性、高速、远距离检测，这些化合物与具有性别、压力、个人指纹？和各种医疗条件特征的挥发性人类化合物有关。该团队计划开发一种微型化的人体生物特征系统，使用最初永生化的细胞系来检测人类化合物，然后开发使用人工粘膜、薄膜、连续灌流或水的组合来直接检测空气中气味的技术。除了生物测定检测之外，基于细胞的化学传感器将通过各种应用具有广泛的社会效益：爆炸物检测、监测食品和空气、基于气味的医疗诊断、机场药物检测和药品筛选，仅举几例。该项目将支持两名全职研究生研究助理。PIS积极参与研究生和本科生的教育以及跨学科课程的发展。私人投资机构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计划方面表现出了良好的记录。

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.