Conventional crime scene investigation is slow as traces are collected at the scene and are only subsequently analyzed in the lab. Rapid and contactless detection and examination of various trace materials at the scene without alteration is highly desirable as it avoids degradation of traces, significantly speeds up the investigations, and reduces the time to capture the perpetrator. Furthermore, contactless identification is crucial in guaranteeing the health and safety of crime scene investigators for chemical or explosive threats. Here we present a quantum-cascade laser-based backscattering infrared sensor that allows instantaneous detection and identification of a wide range of forensic relevant samples, from explosives to drugs, and precursors to bodily fluids. The system is based on external-cavity tunable quantum cascade lasers (EC-QCL) using resonant MOEMS (micro-opto-electromechanical system scanners) diffraction gratings, offering kilohertz spectral scan speeds. Two such MOEMS EC-QCL modules are multiplexed in the system and spectrally combined into a single laser beam. The (scalable) approach almost doubles the spectral coverage and increases the selectivity without sacrificing spectral scan speed. We report here on the system design and show first results.
Traditional crime scene investigation is slow as traces are collected at the scene and only subsequently analyzed in the lab. Rapid contactless detection and examination of various trace materials at the crime scene without any alteration avoids degradation of traces, significantly speeds up investigation and reduces the time to capture the originator before he can commit further offences. Furthermore, contactless identification is crucial in guaranteeing the health and safety of crime scene investigators for chemical, biological and explosives treats. Here we report on the development of a quantum-cascade laser based infrared sensors, that allows instantaneous detection and identification of a wide range of forensic relevant samples, from explosives to drugs, their precursors, but also biological traces such as blood. The system is based on MOEMS-EC-QCLs that allow kilohertz spectral scan speed. Two such sources are combined in the sensor to extend the spectral coverage to increase the selectivity without sacrificing scan speed. We report on the system design and show first results on drugs and explosive identification.
The North Atlantic Treaty Organization (NATO) SET-237 Task Group (TG) was formed in January 2016 to develop and recommend to NATO a reference standard methodology (or methodologies) for fabricating quantifiable surface standards for the evaluation of stand-off active and passive optical systems. The purpose of this task group, which was led by the DEVCOM-Chemical Biological Center, was to utilise different printing technologies to produce explosives test standards for the evaluation of effective standoff threat detection capabilities for force protection, IED detection and threat diagnostics. The TG also developed the procedures to characterize the samples (crystalline phase of material, morphology) and to estimate accuracy and precision information like surface coverage, particle size distribution, areal density, etc. of the prepared samples. Fraunhofer ICT was one of the organizations fabricating quantifiable surface standards using a Nanoplotter NP 2.1 from GeSim GmbH, Germany, a piezo-based drop on demand printer. In collaboration with DEVCOM-CBC, Fraunhofer ICT and ENEA, an ImageJ Standard Operating Procedures (SOP) for calculating particle statistics was established. ENEA acted as an “independent laboratory” characterising the coupons produced by the other partners to develop standard protocols to be included in the certificate of analysis of the coupons produced with ink-jet printers. A NATO field trial was organised by ENEA at its test site in Frascati (Rome) in 2019 to assess the printed samples against multiple field instruments for the test standard’s ability to meet the NATO SET-237 mission requirements. The poster will present samples prepared with Inkjet printer as well as protocols for their evaluation together with a new plug-in for the software ImageJ to process micrographs of the samples. The results of the work done in this TG will be utilised to support the work within the NATO-SPS project DEXTER and the EU Horizon 2020 project RISEN.
Detection systems for explosives have to be tested and validated with realistic samples. However, at present, well defined and characterized and homogeneous test materials for the development and validation of trace detection systems are still missing. Drop-on-demand and inkjet printing technology has become a promising method of producing standardized chemically contaminated test materials with high precision, accuracy, scalability, and flexibility to allow for the inexpensive, high throughput production. Especially for the preparation of samples for optical stand-off technologies the drop-on-demand technique leads to samples of higher quality. Test samples with contaminations ranging from nanograms to micrograms have been prepared and analysed over several weeks of storage. The influence of plot parameters on the morphology and durability of printed samples of various common explosives have been investigated on different substrates. Our results show that this technique leads to samples of higher quality compared to already existing preparation methods of reference samples. For the evaluation of deposition uniformity, quantity and reproducibility samples on several different surfaces, with different solvents and areal density distributions were prepared and analysed. HPLC measurements were used to quantitatively evaluate the durability of printed samples. The morphology of the test samples has been characterized by optical microscopy and confocal Raman-microscopy. This poster focuses on the development of a proposed standardized methodology for the characterization of particulate trace explosive samples of all types. Micrographs were processed with ImageJ (National Institutes of Health), an open source image processing program designed for scientific multidimensional images, which has already been applied to the shape analysis of particles in various research areas and for different materials. The main problem is to find the right threshold to apply to segment the image into features of interest (particles) and background. It is certainly a goal of digital image processing to establish protocols that eliminate variability, but currently it is not possible to use only one threshold with a fixed value for a set of images of samples of various explosives. Manual methods have several limitations like reduced reproducibility, high user bias, tedious and time-consuming fiddling-around finding an "appropriate" cut-off value, etc. The open source software that is in use to process the images provides several methods to automatically apply a threshold. Based on the morphology of the particles and the applied threshold, the obtained results can be really different and, an incorrect selection of the automatic threshold could provide either an overestimation or an underestimation of the parameters to be evaluated, particle size distribution and area coverage.
Tougher security requirements and an increasing number of terror attacks have led to rapid advances in the field of explosive detection in the past few years. Detection systems have to be tested and validated with realistic samples and amounts as early as possible during the development. However, at present, well defined and homogeneous test materials which are a crucial requirement for development and validation of trace detection systems are not available.
Existing preparation methods of reference samples, such as drop-and-dry (drop casting) methods, present a range of variability and reproducibility issues, including inhomogeneous sample coverage and material waste. Especially for the preparation of samples for optical stand-off technologies the drop-on-demand and inkjet printing technology could be a promising method of producing standardized chemically contaminated test materials with high accuracy, precision, scalability, and flexibility to allow for the inexpensive, high-throughput production.
Test samples with contaminations ranging from nanogrammes to microgrammes have been prepared and analysed over several weeks of storage. The influence of plot parameters on the morphology and durability of printed samples of various common explosives have been investigated on different substrates.
HPLC measurements were made to quantitatively evaluate the durability of printed samples. The morphology of the test samples was additionally characterized by optical microscopy and confocal Raman-microscopy. Besides the occurrence of polymorphic phase changes, described in literature for low concentrated drop-on-demand samples of RDX, we observed changes in sample distribution by recrystallization of some explosives in the printed samples.
This paper focuses on the optimization of methods for the preparation of test samples and on the analysis especially concerning the effect of polymorphic phase changes caused by inkjet printing of samples.
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