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

目标是开发具有高灵敏度、选择性和快速响应的先进纳米结构微型爆炸物传感器。一种基于碳纳米管（CHT）的传感器阵列，具有不同的纳米结构和不同的IED目标分子（TNT和RDX）的不同颜色图案。为了提高化学选择性，将使用Chem3D和sculppt进行分子力学分析，以寻找理想的宿主分子来选择性地结合IED目标。将进一步利用径向基函数神经网络等软计算方法对不同的炸药进行改进。该系统将能够检测爆炸物的特征，并具有区分统计上少量的假警报和假探测的能力。这项工作可以影响未来用于安全和工业用途的气体检测系统的发展。它还可能导致新型生物传感器的发展。

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.