A Hybrid Electronic Tongue for Geoenvironmental Site Characterization

这个项目将支持一部小说的发展。电子舌锥贯入仪？现场表征重金属，如砷，镉，铜，铬，铅，锰，汞，镍，硒，铊和锌在土壤和地下水。电子舌头是一种利用微电极传感器阵列和人工智能进行模式识别来模拟人类味觉系统的设备。该项目将涉及设计和组装高灵敏度和广泛选择的微电极传感器材料的基础研究。这将是随后的发展电导和伏安技术的混合电子舌。此外，将开发用于多变量数据处理和解释的智能机器学习模型，用于重金属的分类和量化。将进行校准室研究，以制定分析含水土壤样品中重金属的方法。最后，微电极传感器阵列将部署在野外坚固的锥形穿透仪中，以促进实时地球环境现场表征。该项目的成功完成将导致一种新的原位工具和方法的发展，用于快速，安全和经济有效地表征重金属污染场地。这种微创技术将限制潜在的人员接触受污染的介质，并减少在常规钻孔和采样活动中通常产生的调查废物量。它还将减少在初始现场调查期间耗时的实验室分析，并将为监管机构提供必要的关键信息，以采取适当步骤，如及时传达饮用水建议。这项技术还可以进一步扩展，以检测其他类型的毒素，使这种方法适用于各种领域，如生物技术、制药和医疗诊断、食品工业、环境监测、执法和国土安全。

This project will support the development of a novel ?electronic tongue cone penetrometer? for on-site characterization of heavy metals such as Arsenic, Cadmium, Copper, Chromium, Lead, Manganese, Mercury, Nickel, Selenium, Thallium and Zinc in soils and groundwater. The electronic tongue is a device that mimics the human gustatory system using microelectrode sensor arrays coupled with artificial intelligence for pattern recognition. The project will involve fundamental research to design and assemble materials for highly sensitive and broadly-selective microelectrode sensors. This will be followed by the development of conductometric and voltammetric techniques for the hybrid electronic tongue. In addition, intelligent machine learning models for multivariate data processing and interpretation will be developed for classification and quantification of heavy metals. Calibration chamber studies will be conducted to develop methods for analysis of heavy metals in aqueous soil samples. Finally, the microelectrode sensor arrays will be deployed in a field-rugged cone penetrometer to facilitate real-time geoenvironmental site characterization. The successful completion of this project would result in the development of a novel in situ tool and method, for rapid, safe, and cost effective characterization of heavy metal contaminated sites. This minimally invasive technology will limit potential personnel exposure to contaminated media, and reduce the amount of investigation-derived waste normally generated during conventional borehole drilling and sampling activities. It will also reduce the time-consuming laboratory analysis during initial site investigations, and will provide regulatory agencies with critical information that is necessary for taking appropriate steps such as communicating drinking water advisories in a timely manner. This technology can also be expanded further to detect other types of toxins, making this approach applicable to diverse fields such as biotechnology, pharmaceuticals and medical diagnostics, food industry, environmental monitoring, law enforcement and homeland security.