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Liquid explosives detection in transparent containers
M. Gafta, L. Naglia,b
a Laser Distance Spectrometry, Petah Tikwa, Israel
b University Tel Aviv, Israel
Abstract. The principal possibility to recognize liquid explosives and their components in various
glass and plastic containers with different transparency in visible spectral range was demonstrated.
Acetone was used as a target, as alone and mixed with traditional liquids. The advantage of gated
Raman spectroscopy over the CW was proved. It was found that using 532 nm, 6 ns laser pulses any
real target with characteristic Raman spectrum with intensity similar to those for acetone may be
detected in 100 % of glass and in 80 % of plastic containers. The mixing with different liquid makes
detection more difficult and acetone was detected in 55 % of studied cases. The main reasons for
detection difficulties are intrinsic Raman and luminescence of plastic containers and liquids relevant
to airport passengers. In case of strong luminescence the advantages of red light excitation over
green light was demonstrated.
1. Introduction
The constant threat of terror attack on civilian targets emphasizes the need to develop a
sophisticated means of detecting explosive materials in different aggregations phases and amounts.
Lately terror organizations enhance their efforts of delivering attacks using bombs camouflaged to
fine alcohol hoping a security services won’t open a several hundred's dollar worth bottle. Thus there
is a demand for simple and reliable device for chemical analysis of liquids inside sealed bottles.
Detection of liquid explosives inside of different kind of transparent or semitransparent containers
requires the development of new analytical techniques. A suitable analytical instrument must be able
to detect and identify in almost real-time the explosive liquids materials with a reasonable level of
confidence. It is well recognized that laser-based spectroscopy is the proper technique, which may be
potentially capable for this purpose in airport scenario. Laser Induced Luminescence and Laser
excited Raman scattering may be proposed as suitable for this purpose. In most cases the liquids
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luminescence spectra are broad and not specific enough, thus luminescence may not be used alone
but must be combined with Raman spectroscopy. Several Raman based devices were proposed
recently for liquid detection inside containers, but all of them are based on continuous wave (CW)
Raman technique [1,2]. It is well known that luminescence of bottles and liquids may interfere with
CW Raman measurements. Gated Raman spectroscopy technique using a visible laser for excitation
seems to be very promising for our goal showing several advantages over CW Raman [3].
The aim of this paper was to check the ability of our laboratory gated Raman system to recognize
acetone and its mixtures with relevant liquids, such as wines, oils and different soft drinks, in more
than 60 transparent and semitransparent glass and plastic vessels. The intensity of acetone Raman
spectrum was compared with some liquid explosives components, such as nitromethane, hydrogen
peroxide and different acids to check our ability to develop a real detector. Several excitation
wavelengths in visible diapason have been compared.
2. Experimental technique
The detailed description of the experimental system was presented elsewhere [3]. The sample
holder was modified to contain different kinds of bottles. Two excitation sources were used: (i)
second harmonic of Continuum Micro-Light Nd-YAG (532 nm, 6 ns, 40 mJ) and (ii) tunable
Opotek’s Opolette 355 Optical Parametric Oscillator (OPO) in spectral range from 0.410 μm up to
2.5 μm with pulse duration about 6 ns and laser pulse energy about 1 mJ. The experiment was
performed with two different CCD exposure times: gate widths – 10 ns for gated Raman
measurements and 9 ms for a quasi-continuous Raman. In the gated Raman experiment a gate width
is of the order of magnitude of laser pulse, so the much longer luminescence processes interfere less
than in quasi-continuous experiment, where the luminescence has much greater influence. It’s
important to emphasize that both measurements were performed in exactly the same physical
conditions. Both empty and filled bottles were measured. All Nd-YAG measurements were
performed averaging over a 100 laser pulses. In the case of OPO excitation averaging was over 1000
laser pulses due to weakness of laser pulse. Raman signals intensity is measured from the base of the
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line on broadband background. Signal to Noise (S/N) was evaluated as a ratio of the normalized
intensity to the electronic noise of the detection system. The transmittance spectra have been
measured using the container pieces from different bottles by Jasco spectrophotometer (model V-
530) in 400-1000 nm spectral range. The numerical transmittance data are presented for 535 and 590
nm points, which represent the limits of the spectral range where Raman spectrum has been
measured.
3. Experimental results
3. 1. Raman spectra of acetone in glass bottles
Mainly acetone was selected as a target compound for this study and sometimes ethanol and
acetone/ethanol mixtures were used. Table 1 represents the types of studied glass containers and
Figures 1, 2 their typical transmittance spectra and Raman spectra of acetone inside those containers.
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779.63592
1063.08381213.4983 1424.7964
792.45913
1075.9127 1446.5278 1711.3816
Tran
smitt
ance
, %
535 nm-87.5 % 590 nm - 88 %
Vodka Absolute, transparent
Inte
nsity
(a.u
.)
Vodka Absolute
Inte
nsity
(a.u
.)
Tran
smitt
ance
, %
535 nm - 19 %
590 nm -30 %
Liquor Frangeliko, brown Liquor Frangeliko
Inte
nsity
(a.u
.)
Whisky Glenlivet, green
Tran
smitt
ance
, %
nm
535 nm - 57%
590 nm - 42 %
Whisky Glenlivet
Raman Shift, cm-1
Figure 1. Transmittance spectra of transparent, brown and green bottles and Raman spectra of
acetone inside those containers.
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Table 1. The studied glass bottles and the main Raman line of acetone intensity
N Name Color Transmittance, %
Normalized Intensity
au
S/N
1 Vodka Absolute Transparent 87.5-88 400
100
2 Vodka Smirnoff Transparent 580
150
3 Shablis Red Wine Greenish 260
75
4 Sardasol, Red Wine Green 180
50
5 Frangeliko Liquor Brown 19-30 10
10
6 Bacardi Breezer Lemon Transparent 1600
500
7 Bacardi Breezer Melon Transparent 1760 500 8 Beer Grolsch Green 420 100 9 Malt Nesher Brown 10-28 30 15
10 Gerber Juice Pear Transparent 125 100 11 Liquor Coffee Transparent 150 50 12 Kikkoman Transparent 30 75 13 Olive Oil Transparent 20 50 12 Perfume NafNaf Red 17.2-17.5 30 10 13 Arak Transparent 100 25 14 Perfume Love Line Red 1.5-11.5 55 15 15 Cream Revlon Absolutes Dull 9.5-10 110 50 16 Malt Glenlivet Green 57-42 40 15 17 Perfume Toxic Red 5-16 20 10 18 Perfume Dee Deep Red 5-15.5 40 15
In all glass containers acetone was definitely detected by its characteristic Raman lines. Both
the strongest line peaking at 782 cm-1 and the weaker lines peaking at 1063, 1216, 1427 and 1712
cm-1 may be seen, which makes the identification ability very high and the false rate actually zero.
The intensity of the main Raman peak is changing from approximately 1800 to 25 arbitrary units
depending on transmittance of the corresponding glass in the spectral range of 535-590 nm, which is
relevant for Raman lines. The lowest intensities were detected for brown and red glasses. No one of
the studied glass materials revealed strong luminescence in 535-590 nm spectral range using gated
Raman technique, while it is the main obstacle for traditional CW Raman. Only one red glass
exhibits detectable luminescence. Studied glass bottles mostly do not exhibit strong intrinsic Raman
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lines. The only exception with detectable Raman line near 1094 cm-1 is red perfume bottle (Fig. 2),
but it is very weak and will not prevent Raman identification of the future target compounds.
Because those containers do not reveal their own luminescence or Raman signals, even one Raman
line of suspicious material in any part of the Raman spectrum (400-3000 cm-1) will be enough.
Comparing the gated and not gated spectra it was found that for glass the short-gated spectra have
major advantage over quasi-continuous ones (Fig. 3). There is a much weaker luminescence that can
mask a Raman signal in the short-gated spectra. It appears that while gated Raman demonstrates no
differences between various bottles presenting a strong and clear quartz lines, the quasi-continuous
spectra present clear variations connected with intrinsic luminescence. Acetone and ethanol have
been measured inside glass bottles by gated and not gated modes. In such scenario, we have to move
the focus inside the bottle. It makes the signal coming from the walls weaker while the main signal
comes from the liquids. Thus, the glass material which bottles are made of is less important as long
as it is transparent for the visible light. Nevertheless, comparison between the gated Raman spectra
and actually not-gated demonstrates that gating enables to remove totally the interference from bottle
material luminescence and Raman signatures are much clearer, allowing to better detect and
recognize the substance inside the bottle (Fig. 4).
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785.23091
1065.6168
1436.18031705.7927
789.7976
1065.5555
1441.5486 1713.797
785.2321
1065.61571230.27831431.2089
1708.1324
Tran
smitt
ance
, %
Perfume Naf-Naf, red
535 nm - 1.5 %
590 nm - 11.5 %
Inte
nsity
(a.u
.) Perfume Naf Naf
Tran
smitt
ance
, %
535 nm - 17.2 % 590 nm - 17.5 %
Perfume Love Line, red
Inte
nsity
(a.u
.)
Bottle
Tran
smitt
ance
, %
nm
535 nm - 5 %
590 nm - 16 %
Perfume Toxic, red
Inte
nsity
(a.u
.)
Raman Shift, cm-1
Perfume Toxic
Figure 2. Transmittance spectra of red bottles and Raman spectra of acetone inside those containers.
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Inte
nsity
(a.u
.) 1
Beer Tuborg, brow n
Tuborg beer, green
Inte
nsity
(a.u
.)Carlseberg beer, bright green
Tuborg beer,bright green
Inte
nsity
(a.u
.)
Edelw eiss beer, brow n
6
Utenos beer, brow n
Inte
nsity
(a.u
.)
Raman Shift, cm -1
Santa Ana Cabarne Souvignon,dark green)
Raman Shift, cm -1
Angove's Shiraz, dark green
Figure 3. Raman spectra of different glass bottles with gating of 10 ns (low line) and without gating
(upper line).
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95.38
752.056
1037.791396.791677.22
754.773
1032.541396.791677.22
852.0031058.75
1424.31849.318
1019.41
1242.39
1421.81
Inte
nsity
(a.u
.)
Acetone in green beer bottle
Acetone in brown red wine bottle
Inte
nsity
(a.u
.)
Raman Shift, cm-1
Ethanol in green beer bottle
Raman Shift, cm-1
Ethanol in dark green red wine bottle
Figure 4. Raman spectra of acetone and ethanol in different glass bottles with gating of 10 ns (low
line) and without gating (upper line).
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3. 2. Raman spectra of acetone in different plastic bottles
Actually all plastic containers exhibit very strong luminescence under excitation by 532 nm
both in not gated and gated modes. Nevertheless the gated technique enables to substantially reduce
the luminescence interference (Fig. 5). Table 2 represents the types of studied plastic containers and
Figures 6, 7 their typical transmittance spectra and Raman spectra of acetone inside those containers.
Opposite to the glass containers, acetone was definitely detected by its characteristic Raman lines
only in 26 plastic bottles from 35 while in two bottles only the strongest acetone Raman line may be
identified because of influence of intrinsic plastic Raman. Thus acetone may be detected in 28 from
35 plastic containers (80 %). The intensity of the main Raman peak is changing from ~ 300 to 0
arbitrary units. The lower maximal intensity compared to glass containers is connected to
substantially lower (~ 100 times) excitation energy which may be used for Raman excitation. The
reason is plastic burning under excitation density more than 1 MW/cm2. It appears that the main
reason when the identification is not possible is not the low transparency of plastic containers, but
their intrinsic Raman and luminescence. In our experiments it appears that focusing laser light inside
the plastic bottle partly prevent the bottle burning but not improve Raman signal quality. The
identification of acetone was not possible in seven plastic bottles. In two of them the intrinsic Raman
is so strong that it covers the target compound Raman. In other five bottles the strong luminescence
even using gated Raman technique prevents detection.
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1500
2000
2500
3000
Inte
nsity
(a.u
.)
Raman Shift, cm-1
Figure 5. Typical Raman spectra of plastic bottle with gating of 10 ns (low line) and without gating
(upper line).
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1063.0838
1429.8305 1717.1906
785.004891429.8305
1712.3131
768.14893
1049.0539 1202.7509 1421.5916
Tran
smitt
ance
, % 535 nm - 84 %590 nm - 84.5 %
Fanta Ornage Mango, transparent
Fanta Orange mango
Tran
smitt
ance
, %
Tran
smitt
ance
, %
535 nm - 0.3 % 590 nm - 0.3 %
Johnson Baby Oil, white semi-transparent
Johnson Baby Oil
nm
535 nm - 9.8 %
590 nm - 3.3 %
Bleach Economica, blue, semi-transparent
Raman Shift, cm-1
Acetone 100%
Bleach Economica
Figure 6. Transmittance spectra of transparent, white and blue semi-transparent plastic bottles and Raman spectra of acetone inside those containers.
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790.610791288.60321431.2089
1612.22471724.7764
Tran
smitt
ance
, %
590 nm - 53.1 %535 nm - 50 %
Retarding Lavander, white semi-transparent
Retarding Lavander
Tran
smitt
ance
, %
535 nm - 65 %
590 nm - 85 %
Life, pink transparent
Inte
nsity
(a.u
.)
Life
Tran
smis
sion
, %
nm
535 nm - 1.2 %
590 nm - 42.0 %
Washing Softener, red semi-transparent
Inte
nsity
(a.u
.)
Inte
nsity
(a.u
.)
Raman Shift, cm-1
Washing Softener
Figure 7. Transmittance spectra of white, pink and blue semi-transparent plastic bottles without Raman spectra of acetone inside those containers.
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Table 2. The studied plastic bottles and the main Raman line of acetone intensity
N Name Color Transmittance, %
Normalized Intensity, au
S/N
1 Fanta Orange Mango Transparent 84.0-84.5 70 35 2 Primor Fruit Juice Transparent 140 75 3 Tapuzina Diet Transparent 190 100 4 Prigat Apple Honey Transparent 25 20 5 Baby Oil Transparent 135 70 6 Sod Max Transparent 100 60 7 Johnson Baby Oil White 0.3 – 0.3 10 3 8 Glass Cleaner Transparent 170 50 9 Nestea Mango Apple Transparent 80 10
10 Tapuzina Fresh Apple
Transparent 90 12
11 Prigat Citrus Honey Transparent 73.7 – 74.1 30 15 12 Pepper Mouth Wash Transparent 30 30 13 Cool Mint Mouth
Wash Transparent 25 25
14 Coca Cola Zero Transparent 30 20 15 Fairy Original Transparent 60 50 16 Pashtan Oil Transparent 15 25 17 Canola Oil Transparent 20 20 18 Bleach Economica Bluish 9.8-3.3 7 5 19 Retarding Lavender White 50-53.1 0 0 20 Souse Soya Transparent 88-88.2 0 0 21 Life Pink 65-85 0 0 22 Life Blue 82-73 100 100 23 Life Purple 120 80 24 Life Transparent 150 125 25 Body Wash Transparent 120 100 26 Bath Gel Transparent 86.5-87 27 20 27 Body Scrub Transparent 32 25 28 Thai Sweat Chili
Sauce Purple 40 35
29 Pachuki Lavander Purple 10 5 30 Shock White 20 15 31 Vaseline White 0.55-0.65 0 0 32 Washing Softener Purple 10-12 0 0 33 Body Lotion Pink 42.5-71 0 0 34 Washing Softener Red 1.2-42 0 0 35 Empty Keter Transparent 70 75
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3. 3. Raman spectra of acetone in glass bottle mixed with different liquids
Table 3 represents the types of studied mixtures and Figure 8 their typical Raman spectra inside
transparent glass bottle. The identification probability becomes lower compared to identification in
empty bottles. Acetone was definitely detected in mixtures with 18 liquids from 34 while in mixtures
with 14 liquids only the strongest acetone Raman line may be identified and the detection is
potentially possible, but very difficult. In mixtures with two liquids the detection is impossible. The
reasons for the difficult detection are the influence of intrinsic liquids Raman and luminescence.
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875.86429
1076.14
1228.92881424.7964
1707.4328 790.37116
1704.9917
793.053281148.9429
1514.9978
790.37116
1614.1955
Vodka Absolute+Acetone, 50+50 %
Acetone
Acetone
Raman Shift, cm-1Raman Shift, cm-1
Bacardi Breezer Melon+Acetone, 50+50 %
Inte
nsity
(a.u
.)
Inte
nsity
(a.u
.)
Grape fruite+acetone, 50+50%
Acetone
Acetone
Prigat Apple Honey+Acetone, 50+50 %
Figure 8. Typical Raman signal of liquid-acetone mixtures measured in transparent glass bottle.
All studied liquids are characterized by very strong luminescence with relatively weak ethanol
lines for alcohol drinks. This strong luminescence present both in gated and in quasi-continuous
modes, but it is several times lower for the first technique (Fig. 9). Thus common liquids that can be
transported in passenger’s luggage present a strong luminescence when excited by 532 nm
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wavelengths. This luminescence can mask the signal coming from explosive or other potentially
dangerous materials. One known way to avoid luminescence excitation is to use red or NIR
excitations. We checked several liquids with intensive luminescence using different excitation
wavelengths and arrived to conclusion that such approach may be really helpful. For example, Figure
10 represents cognac luminescence spectra under different visible excitations. It may be seen that
cognac exhibits slightly different luminescence with different excitations. The band’s maximum is at
500, 540 and 580 nm for 410, 480 and 532 nm excitations, respectively. The excitation spectra
present a clear tendency of growing luminescence intensity towards the blue region. This tendency
takes place both for measurements at the center of luminescence band and for the off-center ones.
Starting from excitation by 590 nm the cognac luminescence becomes very weak. Similar behavior
was found for other alcohol liquids, such as whisky. In red wine, however, the luminescence
behavior is different and the band’s center is constant peaking at 650 nm (Fig. 11). But once again,
starting from excitation by 590 nm the red wine luminescence becomes very weak.
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849.3181421.81
849.3181045.661419.31
Inte
nsity
(a.u
.) Whisky
Cognac
Inte
nsity
(a.u
.)
Raman Shift, cm-1
Martini
Raman Shift, cm-1
Red wine
Figure 9. Raman spectra of several non-explosive liquids in transparent glass bottle with gating of
10 ns (low line) and without gating (upper line).
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Table 3. The studied mixtures of acetone and liquids
N Name Normalized Intensity au
S/N
1 Vodka Absolute 110 100 2 Vodka Smirnoff 275 150 3 Shablis Red Wine 125 75 4 Sardasol, Red Wine 6 3 5 Frangeliko Liquor 10 10 6 Bacardi Breezer Lemon 80 50 7 Bacardi Breezer Melon 10 10 8 Beer Grolsch 30 15 9 Malt Nesher 5 5 10 Fanta Orange Mango 45 25 11 Grape Fruit Juice 50 25 12 Tapuzina Diet 65 50 13 Prigat Apple Honey 50 25 14 Gerber Juice Pear 40 15 15 Baby Oil 20 10 16 Sod Max 15 10 17 Johnson Baby Oil 25 15 18 Glass&Window Cleaner 50 25 19 Nestea Mango Pine Apple 35 20 20 Tapuzina Fresh Apple 60 25 21 Whisky Glenlivet 70 45 22 Liquor Coffee 150 50 23 Prigat Citrus Honey 10 10 24 Pepper Mint Mouth Wash 10 10 25 Cool Mint Mouth Wash 10 10 26 Coca Cola Zero 0 0 27 Fairy Original 50 25 28 Kikkoman 0 0 29 Olive Oil 15 10 30 Pashtan Oil 12 10 31 Canola Oil 13 10 32 Bleach Economica 10 10 33 Arak 65 25 34 Perfume Love Line Rouge 5 5
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50
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150
200
250
300
350
Inte
nsity
(arb
. uni
ts)
Wavelength (nm)
530nm 540nm 550nm 560nm 570nm 580nm 590nm 600nm 610nm 620nm 630nm
Figure 10. Cognac luminescence with different excitations (sharp picks are laser excitation lines).
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15
30
45
60
75
90
Inte
nsity
(arb
. uni
ts)
Wavelength (nm)
530nm 540nm 550nm 560nm 570nm 580nm 590nm 600nm 610nm 620nm 630nm
Figure 11. Red wine luminescence with different excitations. (Sharp picks are laser excitation lines).
It may be concluded that application of red and not green Raman excitation appears preferable to
overcome the luminescence interference. Thus we start to check the red Raman spectra of several
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from studied objects. Figure 12 demonstrates such spectra for acetone and ethanol. In contrast with
excitation by 532 nm, the difference between short gated and long gated spectra is substantially less.
Relatively strong luminescence exists under red excitation also, but its influence is less prominent.
For example, under excitation by 532 nm almost no intrinsic ethylene Raman signal was visible on
strong luminescence background in alcohol drinks, while it may be seen even in red wine spectrum,
while in cognac, whiskey and white wine they are strong and clear (Figure 13).
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784.92508
1065.828371277.638141430.04781712.57823
1096.066781276.01805
1455.3253
Inte
nsity
(a.u
.)
Raman Shift, cm-1
Ethanol
In
tens
iuty
(a.u
.)
Acetone
Figure 12. Raman spectra of acetone and ethanol under excitation by 650 nm in transparent glass
bottle with gating of 10 ns (low line) and without gating (upper line).
3.4. Raman spectra of TNT and RDX dissolved in acetone and ethanol
The Raman spectra of TNT and RDX diluted in acetone and ethanol have been studied.
Comparing those four different possibilities for explosive solution demonstrates that the most
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recognizable features relate to TNT solution in acetone, evidently due to good dissolving properties
of acetone and strong TNT Raman signal. Example of such spectra are presented in Figure 14.
Subtracting a pure acetone spectrum from TNT-acetone mixtures and plotting the highest TNT peak
(ν = 1326 cm-1) height against the TNT concentration, the good linear correlation was received
between TNT concentration and its Raman signal (Fig. 15). It may be concluded that it is possible to
detect TNT mixtures in acetone down to a concentration of 10 mg/cm3.
Figure 13. Raman spectra of several non-explosive liquids under excitation by 650 nm in transparent
glass bottle with gating of 10 ns (low line) and without gating (upper line).
3.4. Raman spectra of TNT and RDX dissolved in acetone and ethanol
The Raman spectra of TNT and RDX diluted in acetone and ethanol have been studied.
Comparing those four different possibilities for explosive solution demonstrates that the most
recognizable features relate to TNT solution in acetone, evidently due to good dissolving properties
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1082.643141276.018051453.74546
874.18827
1082.643141276.01805
1452.17567
872.45045
1077.60173
1276.01805
1452.17567
Inte
nsity
(a.u
.)
Cognak
Red wine
Inte
nsity
(a.u
.)
Raman Shift, cm-1
Wisky
Raman Shift, cm-1
White semidry wine
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of acetone and strong TNT Raman signal. Example of such spectra are presented in Figure 14.
Subtracting a pure acetone spectrum from TNT-acetone mixtures and plotting the highest TNT peak
(ν = 1326 cm-1) height against the TNT concentration, the good linear correlation was received
between TNT concentration and its Raman signal (Fig. 15). It may be concluded that it is possible to
detect TNT mixtures in acetone down to a concentration of 10 mg/cm3.
Figure 14. Raman spectra of TNT, acetone and 30 % TNT solution in acetone
Figure 15. Correlation between Raman signal of TNT and its concentration in acetone
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nsity
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.)
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TNT powder Acetone 30w% TNT in acetone
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0.3
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0.6
1326
cm
-1 p
eak
heig
ht
TNT concentration (mg/cm3)
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Other mixtures show worse results. The ratio between the RDX and acetone peaks is relatively
small even for high concentrations of RDX. The same picture is for TNT solution of ethanol – only
in saturated solution the TNT spectral fingerprint can be clearly seen. The worst case is RDX
solution in ethanol. The poor diluting power of ethanol combines with the fact that the highest RDX
peak overlaps with highest ethanol peak and consequently even in saturated solution no RDX
features can be clearly seen.
3.5. Raman spectra of liquid and solid explosive components
Figures 16 and 17 demonstrate Raman spectra of some potentially dangerous liquids
components measured at the same experimental conditions. It may be seen that fortunately all have
specific Raman signatures with intensity similar to those for acetone, which makes Raman
spectroscopy a potential tool for their identification inside transparent containers.
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Inte
nsity
, a.u
.
Raman shift cm-1
Acetone
30 % H2O2
Nitromethane
Figure 16. Raman spectra of acetone, 30% solution of hydrogen peroxide and nitromethane
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Inte
nsity
a.u
.
Raman shift cm-1
Acetone
H3PO4
H2SO4
Figure 17. Raman spectra of acetone, H2SO4 and H3PO4 acides
4. Conclusions
This study was devoted to Raman detection of pure acetone in different glass and plastic
containers, and of acetone mixed with different liquids in transparent containers. Laboratory device
used for this task includes excitation laser (second harmonic, 532 nm, 6 ns) and gated ICCD iStar
detector. Seventeen glass containers with different transparencies and colors have been tested.
Acetone was detected in 100 % of them. Thirty five plastic containers with different transparencies
and colors have been tested. Acetone was be detected in 80 % of them. Thirty-four different liquid
mixtures with acetone in transparent containers have been tested. Acetone detected in 55 % of them.
The main obstacle for acetone detection is strong intrinsic luminescence of certain plastics
and liquids under excitation by 532 nm. Gated Raman technique with red excitation with optical
parametric oscillator (OPO) pulsed laser as excitation source is evidently the better approach.
Besides better luminescence removing, plastic materials are burning under green excitation density
more than 1 MW/cm2. Lower excitation intensities lead to relatively weak Raman signals. Once
again, using less energetic red excitation may help to overcome this problem.
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References
[1] "Fist Defender" www.ahuracorp.com
[2] Matousek, P., Clark,I., Draper,E., Morris,M., Goodship,A., Everall,N., Towrie,M., Finney, W.
and Parker,A.,"Subsurface probing in diffusely scattering media using spatially offset Raman
spectroscopy", Appl. Spectrosc. 59,393-400 (2005).
[3] Gaft, M. and Nagli, L., "Laser-based spectroscopy for standoff detection of explosives." Optical
Materials, 30, 1739-1746 (2008).
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