Deep ultraviolet Raman spectroscopy measurements have been performed at the German Aerospace Center (DLR) with the aim of detecting traces (μg range) of explosive precursors. In this study, a backscattering Raman system was setup and optimized to detect urea, sodium perchlorate, ammonium nitrate, and sodium nitrate at a 60-cm short-range remote detection. The sample was tested at 264-nm ultraviolet laser excitation wavelength to experimentally observe any possible trace over textiles samples. For each colored sample textile, Raman spectra were acquired and no background fluorescence interference was observed at this laser excitation wavelength. Detection limits and system sensitivity with an acquisition time up to 3 s for microgram traces are presented. |
1.IntroductionRemote laser-based techniques are useful to detect harmful substances (such as vapors and particles from explosives or surface traces such as a fingerprint residue) without requiring direct contact from the operator. A potential warning at a safe distance from the identification site is wanted to both save the life of the personnel investigating a contaminated area and avoid directly damaging the detection required equipment.1 Among many available laser-based techniques, Raman spectroscopy is a powerful tool to detect and uniquely identify unknown substances. It is non-destructive and highly selective2–6 while other techniques such as infrared spectroscopy suffers more on the background surface (surface reflectivity and roughness) and sample size (thickness), which affects peak positions and intensities,7 or laser-induced fluorescence, which is highly sensitive but poorly selective.7 Spectroscopic detection of explosive traces and their precursors is a very important topic for homeland security applications to reduce the threat of improvised explosive devices (IED). A precursor is a common material easily available on the markets, such as fertilizers, food preservatives, solvents for cleaning agents, fuels, and pyrotechnic kits, which can be turned into an explosive with minimal effort by mixing or blending with other chemicals or by simple chemical processing (see EU regulation No. 98/2013, Ref. 8). Hence, it is critical to be able to detect those chemicals before a detonation happens. Often, after handling, traces of the chemical compounds easily stick to the operator leaving traces on clothes. The aim of this study is to find the detection limits (sensitivity) to develop a screening device for civil applications (i.e., traces of explosive precursors on clothing to prevent terrorist attack in airports, malls, and public buildings). For this reason, in this work, four precursors (urea, sodium perchlorate, ammonium nitrate, and sodium nitrate) were chosen and detected over different colored textiles using UV Raman scattering. Usually, the amount of an explosive precursor left from a fingerprint is estimated to be in the order of micrograms () and the chemical solid traces tend to adhere quite well on a rough surface.9 Raman spectroscopy allows low species concentration detection (traces) while the main experimental limit is the low intensity of the scattered radiation. The laser wavelength is chosen close to the electronic transition of a target molecule to be tested so that the inelastic scattered signal identifies a specific compound. For resonant Raman scattering, the scattered radiation carrying the signal information is inversely proportional to the forth power of the incident laser radiation wavelength, therefore, an ultraviolet laser source was chosen since the signal increases several orders of magnitude when compared to the visible light. Furthermore, invisible light is suitable for covert detection applications. 2.Experimental Setup2.1.Optical SetupFigure 1 shows a sketch of the Raman laser and optical setup. A Continuum Sunlite EX-OPO FX-1 laser tunable source provided the 264 nm (10 Hz repetition rate, 3-ns pulse length, linewidth) excitation wavelength. The laser beam was relayed by several high UV reflective mirrors to the sample. The backscattered Raman signal was collected by a 12-cm parabolic UV mirror at 45 deg standing far from the sample and then sent through an optical fiber ( resolution) connected to a Horiba iR550 spectrometer ( holographic grating, blaze 250 mm, 0.06 nm resolution, CCD , maximum resolution 0.01 nm). A 266 nm long-pass filter was placed in front of the fiber to reject the incoming UV laser radiation. 2.2.Samples PreparationExplosive precursors samples were prepared over different colored textile materials: urea (Fig. 2), sodium perchlorate (Fig. 3), ammonium nitrate (Fig. 4), and sodium nitrate (Fig. 5). The preparation of the samples was a challenging task to provide realistic scenarios. A standard drop-cast method [REF] was not suitable because the solution tended to penetrate into textile without leaving all the traces on the surface. Another difficulty was due to the lab configuration: the sample must stand vertically, hence the precursors’ material must sustain gravity during the measurements. For this reason, a new method was employed: standardized amount of 2, 1, 0.5, and 0.25 mg and traces ( range) for each respective precursor were first weighted and then pressed at 5 tons over colored cotton textiles. The applied method was found successful in both having the precursors’ crystal on the textile surface and in having the sample standing. The sample areas were prepared to be below the upcoming laser beam size (elliptic shape , 2 mJ per pulse, ). All the samples were first analyzed to verify their distribution using an Olympus LEXT OLS 4000 3D microscope with a magnification. In addition, these images were used to quantify the overall amount of the sample over the background surface. Traces were photographed after all tests to observe a photo deterioration of the chemical compound or any possible background photobleaching. 2.3.Sample Image AnalysisFor each precursor measurement, it was possible to quantify the amount probed. An arbitrary threshold was applied using ImageJ2 software10 to each microscope image to force each pixel to be either black or white as shown in Fig. 6. White indicates the presence of precursor crystal while black indicates its absence. Knowing the size of the picture () and the percentage of white pixels, it was possible to calculate the area covered by each precursor. Then knowing from literature11 the penetration depth and the respective given density, the effective amount measured was finally computed and summarized in Table 1. The penetration depth at 266 nm was found in literature for urea and ammonium nitrate () while for sodium perchlorate and sodium nitrate the maximum penetration depth was assumed to be the depth crystal measured with the microscope (average ). From Table 1 It is possible to calculate the sensitivity of this experiment. The minimum effective amount measured on traces for all the tested explosive precursors was found to be: for urea, for sodium perchlorate, for ammonium perchlorate, and for sodium nitrate. Table 1Effective measured amount in μg for all samples.
3.Results3.1.Raman SpectraDeep UV Raman spectra of the selected explosive precursors [urea (Fig. 8), sodium perchlorate (Fig. 9), ammonium nitrate (Fig. 10), and sodium nitrate (Fig. 11)] were detected over a remote distance of 60 centimeters. The overall testing time was 3 s for each experimental point (10 integrated nanosecond pulses acquired at 10 Hz, three accumulations). All spectra were background subtracted. The textile backgrounds signals were recorded at the same operating conditions and shown in Fig. 7. It can be noticed that Raman signal was not detected from the colored dyes used to change the fabric color. Therefore, it is not expected any interference due to peak overlap. A little bit of fluorescence is observed for the yellow color textile used (yellow curve). In this case, the observed effect was about 10 counts shift upward on the right between 1200 and . However, this effect is neglectable comparing the Raman signal strength so no significant fluorescence interference is expected during the detection of the explosive precursors as well. In addition to the five different amounts of chemicals, a measurement of the bulk compound (labeled as f) is also provided for comparison. The bulk consisted in a standard chemical QS-Suprasil cuvette filled with each chemical respectively. Figure 8 shows the Raman spectra of urea. A distinct Raman peak simultaneously identifies several chemicals in a sample even if the spectral signatures seem closer. The strongest Raman vibrational mode ( planar) for urea was detected at .12 This spectral line is chosen to be the specific signature for urea since it appears for all the concentrations. Above 0.5 mg, a secondary peak appears on the right-hand side of to the strongest one and it can be distinguished from the background (, planar vibrational mode). For concentrations above 1 mg [Figs. 6(d) and 6(e)], three main peaks can be distinguished: (asymmetric NCN stretch), ( bend) and the close 1578, and (CO stretch).12 Figure 9 shows the Raman spectra of sodium perchlorate. A main Raman vibrational mode (Cl-O symmetric stretch) at 13 can be noticed for all the concentrations tested. A secondary double peak ( antisymmetric stretch) at 1087 and is distinguishable above 0.5 mg. A weak (antisymmetric band) peak placed on the left-hand side of the strong at is barely noticeable. Figure 10 shows the Raman spectra of ammonium nitrate. We notice a characteristic band (symmetric stretch) at for all the samples.6 Above 0.5 mg, some secondary vibrational modes appear respectively from left to right at (), a double peak at 1408 and . In the region between 1400 and those vibrational modes are related to the deformation and the stretching.12 Figure 11 shows the Raman spectra of sodium nitrate. For all the different amount probed, the two vibrational modes at ()10 and () are always visible. The vibrational mode at vanishes at the background noise level; however, both and bands can be used to clearly identify the presence of this precursor over the others. The stronger Raman signal recorded for traces was urea, followed by , , and . As expected the bulk materials show the strongest signal-to-noise ratio (S/N) and the signal strength keeps decreasing lowering the amount of the chemicals. In all the recorded spectra, a significant interfering fluorescence was not observed and photo degradation was minimized keeping the average laser energy below 2 mJ per pulse. However, despite the laser energy was relatively low, it was not kept under the maximum permissible skin and eye exposure limits of (MPEs) for a nanosecond laser source.14 The eye-safe requirement would be an important target if the system will be employed in public spaces and it will be addressed in the near future. 3.2.Detection LimitsFigure 12 represents the S/N versus the effective mass amounts previously calculated from each explosive precursor in Table 1. For every sample tested, the S/N was calculated as signal/h background.15 The value background was calculated as the difference of maximum and minimum value in a region without the presence of the Raman signal. Since every explosive precursor has a different Raman signature, it was not possible to choose a unique region to determine h background. For this reason, the range was chosen from 1220 to for both urea and , from 80 to for , and from 1120 to for . Figure 12 also shows the limit of detection (LOD) and the limit of quantification (LOQ) respectively defined as three times and 10 times the S/N.15 It can be noticed that for all the cases S/N is , so the detection is always possible for all precursors even in the smallest amounts. The LOQ shows that it is possible to quantify the acquired spectra for urea for the lowest masses measured. For the other precursors there are limitation: for sodium perchlorate, quantification is possible above ; for ammonium nitrate, more than are necessary; and for sodium nitrate, are required due to its low signal intensity. 4.ConclusionsAn experimental setup for a remote backscattering UV Raman spectroscopy was optimized for the investigation of precursors of explosives (urea, sodium perchlorate, ammonium nitrate, and sodium nitrate) on contaminated colored textile backgrounds within 3 s of acquisition time. First results were presented in this study to identify the detection limits for all the selected precursors. The measurements were performed over pressed (5 tons) standardized quantities of precursors on textiles. This method was found more reliable than the standard drop-casting. The exact detectable amount was then calculated using microscope images. The Raman signature of all the precursors was compared to the bulk measurement and correspond to the signature of the bulk known from the literature. The minimum detectable was found to be: for urea, for sodium perchlorate, for ammonium perchlorate, and for sodium nitrate with exciting laser energy of . S/N and LOD were calculated and, for all the precursors, it is always possible a clear identification. Limits of quantification were also found to be: for urea, for sodium perchlorate, for ammonium nitrate, and for ammonium nitrate. Moreover, in the test performed, the choice of 264-nm laser excitation wavelength was found to be free from interfering fluorescence and photo deterioration of the sample was not observed in the subsequent microscope imaging. A further optimization of the system will be performed to possibly decrease the detectable amount limits (maybe lowering the excitation wavelength toward deeper UV), the laser energy density (toward eye-safe), and increase detection distance. AcknowledgmentsThe authors would like to thank Kirsten Klaffki for providing the microscope images and Björn Prietzel for the chemical laboratory help. ReferencesR. Chirico et al.,
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BiographyEmanuela Gallo is a current research scientist at the German Aerospace Center (DLR) and her research interests are in advanced lasers, optical detection systems, high speed and hot flows. Prior to working at DLR she was a research contractor at NASA LaRC. She received her PhD in aerospace engineering from George Washington University, her MS in aerospace engineering from Virginia Tech, and her BS in aerospace engineering from Polytechnic of Milan. Luca Cantu is a research scientist at the German Aerospace Center (DLR). His work is mainly focused on the remote Raman detection of explosives and warfare agents. Previously, he was working in another branch of DLR working on laser thermometry in gas turbine combustion. He received his PhD from George Washington University in aerospace engineering, and in the same major obtained the MS from Virginia Tech and BS from Polytechnic of Milan. |