EXP-LA: Development of a Nanostructured-Based Sensor System for Reliable Detection of Improvised Explosive Devices

EXP-LA：开发基于纳米结构的传感器系统，用于可靠检测简易爆炸装置

• 批准号: 0731102
• 负责人: J. Indacochea
• 金额: $ 54.65万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0731102&HistoricalAwards=false
• 关键词: EXP; LA; Development; Nanostructured; Based

The objective is to develop advanced nanostructured miniature explosives sensors with high sensitivity, selectivity, and fast response. An array of sensors is carbon nanotube (CHT) based with different nanostructures having distinctive color patterns with different IED target molecules (TNT and RDX). To enhance the chemical selectivity, a molecular mechanics analysis using Chem3D and Sculpt will be used to search for ideal host molecules to bond the IED target selectively. A soft computing such as radial basis functions neural networks will be further utilized for improving the different explosives. The system will be able to detect explosives signatures with capacity to differentiate statistically small amount of false alarms and false detection. The work can impact future development of gas detection systems for security and industrial use. It could also lead to development of new biosensors.

目标是开发具有高灵敏度、高选择性和快速响应的先进纳米结构微型炸药传感器。传感器阵列是基于碳纳米管（CHT）的，其具有不同的纳米结构，所述纳米结构具有不同的IED目标分子（TNT和RDX）的独特颜色图案。 为了提高化学选择性，将使用Chem3D和Sculpt进行分子力学分析，以寻找理想的主体分子，从而选择性地结合IED目标。软计算，如径向基函数神经网络将进一步用于改进不同的炸药。 该系统将能够探测爆炸物特征，并有能力在统计上区分少量误报和误报。 这项工作可能会影响安全和工业用途的气体检测系统的未来发展。它还可能导致新的生物传感器的开发。