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Investigating an Inkjet Printer for Standardized Sample Preparatioin

机译:研究用于标准样品制备的喷墨打印机

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Hazard detection systems must be evaluated with appropriate test material concentrations under controlled conditions in order to accurately identify and quantify unknown residues commonly utilized in theater. The existing assortment of hazard reference sample preparation methods/techniques presents a range of variability and reproducibility concerns, making it increasingly difficult to accurately assess optically based detection technologies. To overcome these challenges, we are examining the optimization, characterization, and calibration of microdroplets from an inkjet printer that has a proven capability for the preparation of energetic reference materials. Unlike other sample preparation methods that often result in the "coffee ring" effect, for which most of the material is concentrated along the edges, samples prepared using drop-on-demand inkjet technology demonstrate excellent uniform material dispersion throughout. Research presented herein focuses on the development of a simplistic printer calibration technique and sample preparation protocol for explosive materials testing based on drop-on-demand technology. Droplet mass and reproducibility were measured using ultraviolet-visible (UV-Vis) absorption spectroscopy. The results presented here demonstrate the operational factors that influence droplet dispensing for specific materials (e.g., energetic and interferents). Understanding these parameters permits the determination of droplet and sample uniformity and reproducibility (typical R2 values of 0.991, relative standard deviation or RSD < 5%), and thus the demonstrated maturation of a successful and robust methodology for energetic sample preparation.
机译:必须在受控条件下使用适当的测试物质浓度对危险检测系统进行评估,以便准确地识别和量化剧院中常用的未知残留物。现有的各种危害参考样品制备方法/技术提出了一系列的可变性和可重复性问题,这使得准确评估基于光学的检测技术变得越来越困难。为了克服这些挑战,我们正在研究喷墨打印机中微滴的优化,表征和校准,该喷墨打印机具有制备高能参考材料的成熟能力。与其他通常导致“咖啡环”效应的样品制备方法不同(大多数材料沿边缘集中),使用按需滴落喷墨技术制备的样品在整个过程中均表现出优异的均匀材料分散性。本文介绍的研究重点在于基于按需滴落技术的用于爆炸性材料测试的简化打印机校准技术和样品制备协议的开发。使用紫外可见(UV-Vis)吸收光谱法测量液滴质量和重现性。此处显示的结果证明了影响特定材料(例如,高能和干扰物)的液滴分配的操作因素。理解这些参数可以确定液滴和样品的均匀性和再现性(典型的R2值为0.991,相对标准偏差或RSD <5%),因此证明了一种成功而可靠的高能样品制备方法已经成熟。

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