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

其目标是开发具有高灵敏度、高选择性和快速响应的先进的纳米结构微型炸药传感器。传感器阵列是以碳纳米管(CHT)为基础的，具有不同的纳米结构，与不同的IED目标分子(TNT和RDX)具有不同的颜色图案。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选择性地结合IED靶标。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特征，并有能力从统计上区分少量的错误警报和错误检测。这项工作可能会影响安全和工业用气体检测系统的未来发展。这也可能导致新的生物传感器的开发。

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.