SGER: Molecular Design of Intelligent Sensors for Selected Chemical Warfare Agents using Support Vector Machines

SGER：使用支持向量机对选定化学战剂的智能传感器进行分子设计

• 批准号: 0210968
• 负责人: Omowunmi Sadik
• 金额: $ 10万
• 依托单位: SUNY at Binghamton
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-03-15 至 2003-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0210968&HistoricalAwards=false
• 关键词: SGER; Molecular; Design; Intelligent; Sensors

This SGER grant is awarded to Professors Omowunmi Sadik and Walker Land of SUNY Binghamton by the Analytical and Surface Chemistry Program (MPS) to apply Support Vector Machines (a computational intelligence technique) to analytical data on chemical warfare simulants. The analytical data originates from a hybrid sensor based on gas chromatography coupled with microarrays of conducting polymer sensing elements, a so-called electronic nose. The data from these arrays is complex and is appropriately studied using advanced pattern recognition techniques. This collaboration connects an analytical chemist with a computer scientist. The exploratory aspect is the opportunity for analytical chemists to take advantage of the advent of the new computational intelligence method, which has been successfully applied by the coPI to breast cancer detection.So called "electronic nose" devices have the potential to serve as sensitive and selective detectors of mixtures of chemicals. There are many applications of sensors, including homeland security, ascertaining food quality, environmental monitoring, and production process and transportation engineering. More sophisticated data analysis is required to bring next generation sensors into fruition. The application of computer intelligence methods is promising in this regard.

这笔 SGER 赠款由分析和表面化学项目 (MPS) 授予纽约州立大学宾厄姆顿分校的 Omowunmi Sadik 和 Walker Land 教授，用于将支持向量机（一种计算智能技术）应用于化学战模拟物的分析数据。 分析数据源自基于气相色谱法与导电聚合物传感元件微阵列相结合的混合传感器，即所谓的电子鼻。 来自这些阵列的数据很复杂，需要使用先进的模式识别技术进行适当的研究。 这种合作将分析化学家与计算机科学家联系起来。 探索性的方面是分析化学家利用新计算智能方法的出现的机会，该方法已被 coPI 成功应用于乳腺癌检测。所谓的“电子鼻”设备有潜力充当化学混合物的灵敏和选择性检测器。 传感器有许多应用，包括国土安全、食品质量确定、环境监测以及生产过程和运输工程。 需要更复杂的数据分析来实现下一代传感器。 计算机智能方法的应用在这方面大有可为。