Percutaneous Absorption of Explosives and Related Compounds: An Empirical Model of Bioavailability of Organic Nitro Compounds from Soil

2002 ◽  
Vol 182 (2) ◽  
pp. 160-168 ◽  
Author(s):  
W Reifenrath
Keyword(s):  
Empirical Model ◽  
Percutaneous Absorption ◽  
Nitro Compounds ◽  
Related Compounds ◽  
Explosives And Related Compounds

Microbial Degradation of Explosives and Related Compounds

1994 ◽  
Vol 20 (4) ◽  
pp. 265-284 ◽  
Author(s):  
T. Gorontzy ◽  
O. Drzyzga ◽  
M. W. Kahl ◽  
D. Bruns-nagel ◽  
J. Breitung ◽  
...  
Keyword(s):  
Microbial Degradation ◽  
Related Compounds ◽  
Explosives And Related Compounds

THz diffuse reflectance spectra of selected explosives and related compounds

2005 ◽  
Author(s):  
Yunqing Chen ◽  
Haibo Liu ◽  
Michael J. Fitch ◽  
Robert Osiander ◽  
James B. Spicer ◽  
...  
Keyword(s):  
Diffuse Reflectance ◽  
Reflectance Spectra ◽  
Diffuse Reflectance Spectra ◽  
Related Compounds ◽  
Explosives And Related Compounds

scholarly journals Computer Vision-Based Portable System for Nitroaromatics Discrimination

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Nuria López-Ruiz ◽  
Miguel M. Erenas ◽  
Ignacio de Orbe-Payá ◽  
Luis F. Capitán-Vallvey ◽  
Alberto J. Palma ◽  
...  
Keyword(s):  
Computer Vision ◽  
Picric Acid ◽  
Color Space ◽  
Control Unit ◽  
Nitroaromatic Compounds ◽  
Raspberry Pi ◽  
Real Time Analysis ◽  
Portable System ◽  
Related Compounds ◽  
Explosives And Related Compounds

A computer vision-based portable measurement system is presented in this report. The system is based on a compact reader unit composed of a microcamera and a Raspberry Pi board as control unit. This reader can acquire and process images of a sensor array formed by four nonselective sensing chemistries. Processing these array images it is possible to identify and quantify eight different nitroaromatic compounds (both explosives and related compounds) by using chromatic coordinates of a color space. The system is also capable of sending the obtained information after the processing by a WiFi link to a smartphone in order to present the analysis result to the final user. The identification and quantification algorithm programmed in the Raspberry board is easy and quick enough to allow real time analysis. Nitroaromatic compounds analyzed in the range of mg/L were picric acid, 2,4-dinitrotoluene (2,4-DNT), 1,3-dinitrobenzene (1,3-DNB), 3,5-dinitrobenzonitrile (3,5-DNBN), 2-chloro-3,5-dinitrobenzotrifluoride (2-C-3,5-DNBF), 1,3,5-trinitrobenzene (TNB), 2,4,6-trinitrotoluene (TNT), and tetryl (TT).

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