A Hybrid Electronic Tongue for Geoenvironmental Site Characterization

这个项目将支持一部小说的发展？电子舌锥流量计用于现场表征土壤和地下水中的重金属，如砷、镉、铜、铬、铅、锰、汞、镍、硒、铊和锌。电子舌是一种模仿人类味觉系统的设备，使用微电极传感器阵列与人工智能相结合进行模式识别。该项目将涉及设计和组装高灵敏度和广泛选择性微电极传感器材料的基础研究。这将是其次是电导和伏安技术的混合电子舌的发展。此外，还将开发用于多变量数据处理和解释的智能机器学习模型，以便对重金属进行分类和量化。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被部署在一个现场坚固的锥形电磁流量计，以促进实时地质环境的网站特性。该项目的成功完成将导致开发一种新的原位工具和方法，用于快速，安全和具有成本效益的重金属污染场地的表征。这种微创技术将限制人员接触受污染介质的可能性，并减少常规钻孔和取样活动中通常产生的调查废物量。它还将减少最初现场调查期间耗时的实验室分析，并将为监管机构提供采取适当步骤所需的关键信息，例如及时通报饮用水供应情况。这项技术还可以进一步扩展到检测其他类型的毒素，使这种方法适用于生物技术、制药和医疗诊断、食品工业、环境监测、执法和国土安全等不同领域。

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.