پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 651 |
| تعداد مقالات | 9,488 |
| تعداد مشاهده مقاله | 68,311,225 |
| تعداد دریافت فایل اصل مقاله | 47,826,542 |
آشکارسازی غیرمخرب پیش ماده انفجاری آمونیوم نیترات پنهان شده در پوششهای پلیمری توسط طیف‌سنجی رامان عمیق | ||
| شیمى کاربردى روز | ||
| دوره 18، شماره 66، فروردین 1402، صفحه 187-206 اصل مقاله (1.2 M) | ||
| نوع مقاله: مقاله علمی پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22075/chem.2022.26157.2051 | ||
| نویسندگان | ||
| مرضیه همتی فارسانی؛ سیدمحمدرضا دربانی* ؛ ابوالحسن مبشری | ||
| مجتمع دانشگاهی علوم کاربردی، دانشگاه صنعتی مالک اشتر، ایران | ||
| تاریخ دریافت: 16 بهمن 1400، تاریخ بازنگری: 29 مرداد 1401، تاریخ پذیرش: 01 شهریور 1401 | ||
| چکیده | ||
| افزایش جنایت‌های سازمان یافته و فعالیت‌های تروریستی، آشکارسازی غیرمخرب مواد انفجاری پنهان شده در پوشش را به یکی از اولویت‌های دفاعی تبدیل نموده است. در این پژوهش آشکارسازی آمونیوم نیترات پنهان شده در پوششهای پلیمری متداولی مانند پلی‌پروپیلن و پلی‌اتیلن چگالی بالا با استفاده از روش‌های مختلف رامان عمیق همانند طیف‌سنجی رامان جابجایی فضایی(SORS)، طیف‌سنجی رامان تفکیک زمانی(TRRS) و ترکیب این دو روش به نام طیف‌سنجی رامان جابجایی فضایی تفکیک زمانی (TR-SORS) انجام شده است. از آنجایی‌که توانایی آشکارسازی مواد منفجره از فاصله ایمن یک مساله حیاتی در پدافند دفاعی است، چیدمان راه دور رامان عمیق در فاصله 5 متر به‌منظور شناسایی آمونیوم نیترات در پوشش پلی اتیلن چگالی بالا برپا شده است. برای ارزیابی دقت عملکرد و همچنین بیان سنجه‌ای از درستی شناسایی کیفی انجام شده، در تمامی طیف‌های ثبت شده، نسبت SORS به عنوان معیار درنظر گرفته شده است. این مقدار در روش TR-SORS برای آمونیوم نیترات در پوشش پلی‌پروپیلن در فاصله نزدیک، 3/3 و در پلی‌اتیلن چگالی بالا در فاصله نزدیک و دور بترتیب مقادیر 5/11 و 5/3 بدست آمد. نتایج پژوهش نشان داد که تلفیق روش‌های طیف‌سنجی رامان جابجایی فضایی و طیف‌سنجی رامان تفکیک زمانی باعث بهبود نسبت SORS خواهد شد که این مساله در شناسایی بسته‌های مشکوک بدون آسیب زدن به بسته‌بندی و کاربر حائز اهمیت است. | ||
| کلیدواژه‌ها | ||
| طیف‌سنجی رامان عمیق؛ جابجایی فضایی؛ تفکیک زمانی؛ آمونیوم نیترات؛ پلی‌اتیلن چگالی بالا؛ پلی‌پروپیلن | ||
| عنوان مقاله [English] | ||
| Non-invasive detection of pre explosive Ammonium Nitrate concealed in polymer containers by Deep Raman | ||
| نویسندگان [English] | ||
| Marziyeh Hemati Farsani؛ Seyyed Mohammad Reza Darbani؛ Abolhasan Mobashery | ||
| Faculty of Applied Science, Malek Ashtar University of Technology, Iran | ||
| چکیده [English] | ||
| Non-invasive detection of explosive materials concealed in the container is became one of the defense priorities, due to the increasing of organized crimes and terrorist activities. In this research, detection of ammonium nitrate(AN) concealed in common polymer containers such as polypropylene(PP) and high density polyethylene (HDPE) using different Deep Raman techniques such as spatial offset Raman spectroscopy (SORS), time-resolved Raman spectroscopy (TRRS) and the integration of these two techniques is known as time resolved spatially offset Raman spectroscopy(TR-SORS) has been performed. Since the ability to detection of explosives at a safe distance is a critical issue in the defense, a stand-off Deep Raman set-up at a distance of 5m was set up to detect AN concealed in HDPE container. The SORS ratio has been considered as a criterion, to evaluate the accuracy of the performance and to express a measure of the correctness of the qualitative identification, in all recorded spectra. This value in the TR-SORS technique for detection of AN in the PP container in the near distance, HDPE container in the near and far distance was 3.3, 11.5, and 3.5, respectively. The results of research showed that the integration of spatial offset Raman spectroscopy and time-resolved Raman spectroscopy will improve the SORS ratio, which is important in the safe identification of suspicious packages without harming the package and the user. | ||
| کلیدواژه‌ها [English] | ||
| Deep Raman Spectroscopy, Spatial Offset, Time Resolved, Ammonium nitrate, High Density Polyethylene (HDPE), Polypropylene (PP) | ||
| مراجع | ||
|
[1] Caygill, J. S., Davis, F., & Higson, S. P. (2012). Current trends in explosive detection techniques. Talanta, 88, 14-29.
[2] Gulia, S., Gulati, K. K., Gambhir, V., & Sharma, R. (2019). Detection of explosive materials and their precursors through translucent commercial bottles using spatially offset Raman spectroscopy using excitation wavelength in visible range. Optical Engineering, 58(12), 127102-127102.
[3] Guicheteau, J., & Hopkins, R. (2016). Applications of spatially offset Raman spectroscopy to defense and security. Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVII, 9824, 76-85.
[4] Moros, J., Lorenzo, J. A., Novotný, K., & Laserna, J. J. (2013). Fundamentals of stand‐off Raman scattering spectroscopy for explosive fingerprinting. Journal of Raman Spectroscopy, 44(1), 121-130.
[5] Elbasuney, S., & El-Sherif, A. F. (2016). Complete spectroscopic picture of concealed explosives: Laser induced Raman versus infrared. TrAC Trends in Analytical Chemistry, 85, 34-41.
[6] Schrader, B. (Ed.). (2008). Infrared and Raman spectroscopy: methods and applications. John Wiley & Sons.
[7] Matousek, P., Clark, I. P., Draper, E. R., Morris, M. D., Goodship, A. E., Everall, N., ... & Parker, A. W. (2005). Subsurface probing in diffusely scattering media using spatially offset Raman spectroscopy. Applied spectroscopy, 59(4), 393-400.
[8] Eliasson, C., Claybourn, M., & Matousek, P. (2007). Deep subsurface Raman spectroscopy of turbid media by a defocused collection system. Applied spectroscopy, 61(10), 1123-1127.
[9] Eliasson, C., Macleod, N. A., & Matousek, P. (2007). Noninvasive detection of concealed liquid explosives using Raman spectroscopy. Analytical chemistry, 79(21), 8185-8189.
[10] Cletus, B., Olds, W., Izake, E. L., Sundarajoo, S., Fredericks, P. M., & Jaatinen, E. (2012). Combined time-and space-resolved Raman spectrometer for the non-invasive depth profiling of chemical hazards. Analytical and bioanalytical chemistry, 403, 255-263.
[11] Olds, W. J., Jaatinen, E., Fredericks, P., Cletus, B., Panayiotou, H., & Izake, E. L. (2011). Spatially offset Raman spectroscopy (SORS) for the analysis and detection of packaged pharmaceuticals and concealed drugs. Forensic science international, 212(1-3), 69-77.
[12] Eliasson, C., Macleod, N. A., & Matousek, P. (2007). Noninvasive detection of concealed liquid explosives using Raman spectroscopy. Analytical chemistry, 79(21), 8185-8189.
[13] Stone, N., Baker, R., Rogers, K., Parker, A. W., & Matousek, P. (2007). Subsurface probing of calcifications with spatially offset Raman spectroscopy (SORS): future possibilities for the diagnosis of breast cancer. Analyst, 132(9), 899-905.
[14] Ghita, A., Hubbard, T., Matousek, P., & Stone, N. (2020). Noninvasive detection of differential water content inside biological samples using deep Raman spectroscopy. Analytical Chemistry, 92(14), 9449-9453.
[15] Guicheteau, J., & Hopkins, R. (2016). Applications of spatially offset Raman spectroscopy to defense and security. Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVII, 9824, 76-85.
[16] Maher, J. R., & Berger, A. J. (2010). Determination of ideal offset for spatially offset Raman spectroscopy. Applied spectroscopy, 64(1), 61-65.
[17] Matousek, P., Morris, M. D., Everall, N., Clark, I. P., Towrie, M., Draper, E., ... & Parker, A. W. (2005). Numerical simulations of subsurface probing in diffusely scattering media using spatially offset Raman spectroscopy. Applied spectroscopy, 59(12), 1485-1492.
[18] Sundarajoo, S., Izake, E. L., Olds, W., Cletus, B., Jaatinen, E., & Fredericks, P. M. (2013). Non‐invasive depth profiling by space and time‐resolved Raman spectroscopy. Journal of Raman Spectroscopy, 44(7), 949-956.
[19] Martyshkin, D. V., Ahuja, R. C., Kudriavtsev, A., & Mirov, S. B. (2004). Effective suppression of fluorescence light in Raman measurements using ultrafast time gated charge coupled device camera. Review of scientific instruments, 75(3), 630-635.
[20] Zapata, F., & García-Ruiz, C. (2017). Analysis of different materials subjected to open-air explosions in search of explosive traces by Raman microscopy. Forensic science international, 275, 57-64.
[21] Ali, E. M., Edwards, H. G., & Scowen, I. J. (2009). In-situ detection of single particles of explosive on clothing with confocal Raman microscopy. Talanta, 78(3), 1201-1203.
[22] Dunuwille, M., & Yoo, C. S. (2013). Phase diagram of ammonium nitrate. The Journal of Chemical Physics, 139(21), 214503.
[23] Mauricio, F. G. M., Pralon, A. Z., Talhavini, M., Rodrigues, M. O., & Weber, I. T. (2017). Identification of ANFO: Use of luminescent taggants in post-blast residues. Forensic science international, 275, 8-13.
[24] Zapata, F., de la Ossa, M. Á. F., Gilchrist, E., Barron, L., & García-Ruiz, C. (2016). Progressing the analysis of improvised explosive devices: Comparative study for trace detection of explosive residues in handprints by Raman spectroscopy and liquid chromatography. Talanta, 161, 219-227.
[25] Ali, E. M., Edwards, H. G., & Scowen, I. J. (2009). Raman spectroscopy and security applications: the detection of explosives and precursors on clothing. Journal of Raman Spectroscopy: An International Journal for Original Work in all Aspects of Raman Spectroscopy, Including Higher Order Processes, and also Brillouin and Rayleigh Scattering, 40(12), 2009-2014.
[26] Diaz, D., & Hahn, D. W. (2020). Raman spectroscopy for detection of ammonium nitrate as an explosive precursor used in improvised explosive devices. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 233, 118204.
[27] Kuzmin, V., Kozak, G., & Mikheev, D. (2010). Detonability of ammonium nitrate and mixtures on its base. Central European Journal of Energetic Materials, 7(4), 335-343.
[28] Fabin, M., & Jarosz, T. (2021). Improving ANFO: Effect of Additives and Ammonium Nitrate Morphology on Detonation Parameters. Materials, 14(19), 5745.
[29] Dunuwille, M., & Yoo, C. S. (2013). Phase diagram of ammonium nitrate. The Journal of Chemical Physics, 139(21), 214503.
[30] N. Kubota, Propellants and explosives: thermochemical aspects of combustion. John Wiley & Sons. (2015) pp. 274.
[31] Gillen, G., Najarro, M., Wight, S., Walker, M., Verkouteren, J., Windsor, E., ... & Urbas, A. (2015). Particle fabrication using inkjet printing onto hydrophobic surfaces for optimization and calibration of trace contraband detection sensors. Sensors, 15(11), 29618-29634.
[32] Tang, H. C., & Torrie, B. H. (1977). Raman study of NH4NO3 and ND4NO3—250–420K. Journal of Physics and Chemistry of Solids, 38(2), 125-138.
[33] Andreassen, E. (1999). Infrared and Raman spectroscopy of polypropylene (Vol. 2). Springer: Dordrecht, Netherlands.
[34] Zachhuber, B., Gasser, C., Chrysostom, E. T., & Lendl, B. (2011). Stand-off spatial offset Raman spectroscopy for the detection of concealed content in distant objects. Analytical chemistry, 83(24), 9438-9442.
[35] Vardaki, M. Z., Seretis, K., Gaitanis, G., Bassukas, I. D., & Kourkoumelis, N. (2021). Assessment of skin deep layer biochemical profile using spatially offset raman spectroscopy. Applied Sciences, 11(20), 9498.
[36] Izake, E. L., Cletus, B., Olds, W., Sundarajoo, S., Fredericks, P. M., & Jaatinen, E. (2012). Deep Raman spectroscopy for the non-invasive standoff detection of concealed chemical threat agents. Talanta, 94, 342-347.
[37] Olds, W. J., Jaatinen, E., Fredericks, P., Cletus, B., Panayiotou, H., & Izake, E. L. (2011). Spatially offset Raman spectroscopy (SORS) for the analysis and detection of packaged pharmaceuticals and concealed drugs. Forensic science international, 212(1-3), 69-77.
[38] Zachhuber, B., Ramer, G., Hobro, A., Chrysostom, E. T. H., & Lendl, B. (2011). Stand-off Raman spectroscopy: a powerful technique for qualitative and quantitative analysis of inorganic and organic compounds including explosives. Analytical and bioanalytical chemistry, 400, 2439-2447.
[39] Izake, E. L., Sundarajoo, S., Olds, W., Cletus, B., Jaatinen, E., & Fredericks, P. M. (2013). Standoff Raman spectrometry for the non-invasive detection of explosives precursors in highly fluorescing packaging. Talanta, 103, 20-27.
[40] Silva, D. J. D., & Wiebeck, H. (2019). Predicting LDPE/HDPE blend composition by CARS-PLS regression and confocal Raman spectroscopy. Polímeros, 29.
[41] Gulia, S., Gulati, K. K., Gambhir, V., & Sharma, R. (2019). Detection of explosive materials and their precursors through translucent commercial bottles using spatially offset Raman spectroscopy using excitation wavelength in visible range. Optical Engineering, 58(12), 127102-127102. | ||
|
آمار تعداد مشاهده مقاله: 339 تعداد دریافت فایل اصل مقاله: 308 |
||