Coherent Anti-Stokes Raman Spectroscopy for detecting explosives in real-time

被引:9
|
作者
Dogariu, Arthur [1 ]
Pidwerbetsky, Alex [2 ]
机构
[1] Princeton Univ, Dept Mech & Aerosp Engn, Princeton, NJ 08540 USA
[2] LGS Innovat, Bell Labs, Florham Pk, NJ 07932 USA
来源
CHEMICAL, BIOLOGICAL, RADIOLOGICAL, NUCLEAR, AND EXPLOSIVES (CBRNE) SENSING XIII | 2012年 / 8358卷
关键词
remote detection; Raman; CARS; hyperspectral imaging; STANDOFF DETECTION; DIPICOLINIC ACID; SCATTERING;
D O I
10.1117/12.919568
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
We demonstrate real-time stand-off detection and imaging of trace explosives using collinear, backscattered Coherent Anti-Stokes Raman Spectroscopy (CARS). Using a hybrid time-resolved broad-band CARS we identify nanograms of explosives on the millisecond time scale. The broad-band excitation in the near-mid-infrared region excites the vibrational modes in the fingerprint region, and the time-delayed probe beam ensures the reduction of any non-resonant contributions to the CARS signal. The strong coherent enhancement allows for recording Raman spectra in real-time. We demonstrate stand-off detection by acquiring, analyzing, and identifying vibrational fingerprints in real-time with very high sensitivity and selectivity. By extending the focused region from a 100-micron sized spot to a 5mm long line we can obtain the spectral information from an extended region of the remote target with high spatial resolution. We demonstrate fast hyperspectral imaging by one-dimensional scanning of the Line-CARS. The three-dimensional data structure contains the vibrational spectra of the target at each sampled location, which allows for chemical mapping of the remote target.
引用
收藏
页数:9
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