Institute for Photonics & Advanced Sensing and School of Chemistry & Physics, the University of Adelaide, Adelaide, South Australia 5005, Australia.
Sensors (Basel). 2013 Sep 30;13(10):13163-77. doi: 10.3390/s131013163.
A novel approach for identifying explosive species is reported, using Raman spectroscopy in suspended core optical fibers. Numerical simulations are presented that predict the strength of the observed signal as a function of fiber geometry, with the calculated trends verified experimentally and used to optimize the sensors. This technique is used to identify hydrogen peroxide in water solutions at volumes less than 60 nL and to quantify microgram amounts of material using the solvent's Raman signature as an internal calibration standard. The same system, without further modifications, is also used to detect 1,4-dinitrobenzene, a model molecule for nitrobenzene-based explosives such as 2,4,6-trinitrotoluene (TNT).
一种用于识别爆炸物的新方法被报道，使用悬浮芯光纤中的拉曼光谱。本文提出了数值模拟，预测了观察到的信号强度作为光纤几何形状的函数，计算趋势通过实验验证，并用于优化传感器。该技术用于在小于 60nL 的水溶剂体积中识别过氧化氢，并使用溶剂的拉曼特征作为内部校准标准来定量微克级的物质。相同的系统，无需进一步修改，也可用于检测 1,4-二硝基苯，一种硝基苯基爆炸物的模型分子，如 2,4,6-三硝基甲苯（TNT）。
