Ion mobility spectrometry (IMS) has become the most widely used technology for trace explosives detection. A key task in designing IMS systems is to balance the explosives detection performance with size, weight, cost, and safety of the instrument. Commercial instruments are, by and large, equipped with radioactive (63)Ni ionization sources which pose inherent problems for transportation, safety, and waste disposal regulation. An alternative to a radioactive source is a corona discharge ionization source, which offers the benefits of simplicity, stability, and sensitivity without the regulatory problems. An IMS system was designed and built based on modeling and simulation with the goal to achieve a lightweight modular design that offered high performance for the detection of trace explosives using a corona ionization source. Modeling and simulations were used to investigate design alternatives and optimize parameters. Simulated spectra were obtained for 2,4,6-trinitrotoluene (TNT) and cyclo-1,3,5-trimethylene-2,4,6-trinitramine (RDX) and showed good agreement with experimentally measured spectra using a corona ionization source. The reduced mobilities for TNT and RDX obtained with corona ionization were 1.53 and 1.46 cm(2)/(V s), respectively, and this agreed well with literature values.
The effect of space charge on the performance of an Ion Mobility Spectrometry (IMS) system becomes more important as the system is made smaller. We use the SIMION software package with the Statistical Diffusion Simulation (SDS) module and SIMION's new capability to solve the Poisson equation to study the effect of space charge on ion loss and resolving power in IMS systems. We consider IMS systems ranging in length from 50 mm to 150 mm and in diameter from 8.33 mm to 50 mm with a fixed electric field of 50 V/mm. We also examine a system with a length of 50 mm, a diameter of 16.7 mm, and an electric field of 16.7 V/mm. We assume that any charge density can be injected into the IMS system, and we have obtained expressions that predict the ion loss and resolving power of IMS systems as a function of input charge density and drift tube aspect ratio (length/diameter).
Liquid phase ion mobility spectrometry (LPIMS) has the potential to be miniaturized such that it can be incorporated into chip based technology, providing higher performance in terms of both detection sensitivity and resolving power than is currently available by other separation technologies such as gas phase IMS, chromatography, or electrophoresis. This work presents modeling, simulation, and experimental investigations to characterize the mobility of ions in a liquid phase. This study included the ionization, transfer, separation, and detection of ions in non-electrolyte liquids. Using a resistive glass tube, mobility spectra were obtained by pulsed ionization for several different analytes, namely, tetramethylammonium chloride, tetrabutylammonium chloride, and dimethyl methylphosphonate (DMMP). Ion separation was demonstrated by separating solvent ions from the ions generated from the test compounds. Simulation and theoretical resolving power calculations were made to validate the experimental mobility measurements. A parametric study on the dependence of IMS resolving power on drift length, voltage across drift cell, and pulse width determined the requirements for designing a miniaturized IMS system, approximately the centimeter scale, with high performance, resolving power approaching 100 or higher. Mobility spectra are used for the first time to determine the diffusion coefficients of ions in a liquid.
This paper presents the Static Computational Optical Undersampled Tracker (SCOUT), an architecture for compressive motion tracking systems. The architecture uses compressive sensing techniques to track moving targets at significantly higher resolution than the detector array, allowing for low cost, low weight design and a significant reduction in data storage and bandwidth requirements. Using two amplitude masks and a standard focal plane array, the system captures many projections simultaneously, avoiding the need for time-sequential measurements of a single scene. Scenes with few moving targets on static backgrounds have frame differences that can be reconstructed using sparse signal reconstruction techniques in order to track moving targets. Simulations demonstrate theoretical performance and help to inform the choice of design parameters. We use the coherence parameter of the system matrix as an efficient predictor of reconstruction error to avoid performing computationally intensive reconstructions over the entire design space. An experimental SCOUT system demonstrates excellent reconstruction performance with 16X compression tracking movers on scenes with zero and nonzero backgrounds.
Simulation of IMS systems is important for gaining insight into the role of its geometric and operational parameters. Using two simulation programs, SIMION and LORENTZ, this study looks into questions pertaining to miniaturization, dimensional disparity across different geometrical axes, and the drift cell medium, both gas and liquid phase. Additionally, we address key physics issues related to space-charge effects and induced current by varying gate pulse width and input charge. This study determines the comparative merits of the two simulation programs, from both computational effectiveness and efficiency standpoints. We explain the necessary techniques for applying these programs to IMS, and we describe similarities and differences of the methods of the programs and how they affect their suitability for simulation of IMS.
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