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Flowing Atmospheric Pressure Afterglow for Ambient Ionization: Reaction Pathways Revealed by Modeling

机译:流动的大气压余量用于环境电离:通过建模显示的反应途径

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We describe the plasma chemistry in a helium flowing atmospheric pressure afterglow (FAPA) used for analytical spectrometry, by means of a quasi-one-dimensional (1D) plasma chemical kinetics model. We study the effect of typical impurities present in the feed gas, as well as the afterglow in ambient humid air. The model provides the species density profiles in the discharge and afterglow regions and the chemical pathways. We demonstrate that H, N, and O atoms are formed in the discharge region, while the dominant reactive neutral species in the afterglow are O-3 and NO. He* and He-2* are responsible for Penning ionization of O-2, N-2, H2O, H-2, and N, and especially O and H atoms. Besides, He-2(+) also contributes to ionization of N-2, O-2, H2O, and O through charge transfer reactions. From the pool of ions created in the discharge, NO+ and (H2O)(3)H+ are the dominant ions in the afterglow. Moreover, negatively charged clusters, such as NO3H2O- and NO2H2O-, are formed and their pathway is discussed as well. Our model predictions are in line with earlier observations in the literature about the important reagent ions and provide a comprehensive overview of the underlying pathways. The model explains in detail why helium provides a high analytical sensitivity because of high reagent ion formation by both Penning ionization and charge transfer. Such insights are very valuable for improving the analytical performance of this (and other) ambient desorption/ionization source(s).
机译:我们用准一维等离子体化学动力学模型描述了用于分析光谱的氦流动大气压余辉(FAPA)中的等离子体化学。我们研究了原料气中典型杂质的影响,以及环境潮湿空气中的余辉。该模型提供了放电和余辉区域的物种密度分布以及化学途径。我们证明,H、N和O原子是在放电区域形成的,而余辉中主要的活性中性物质是O-3和NO。He*和He-2*负责O-2、N-2、H2O、H-2和N的潘宁电离,尤其是O和H原子。此外,He-2(+)还通过电荷转移反应促进N-2、O-2、H2O和O的电离。从放电产生的离子池中,NO+和(H2O)(3)H+是余辉中的主要离子。此外,还形成了负电荷团簇,如NO3H2O-和NO2H2O-,并讨论了它们的途径。我们的模型预测与文献中有关重要试剂离子的早期观察结果一致,并提供了潜在途径的全面概述。该模型详细解释了为什么氦提供了高分析灵敏度,因为潘宁电离和电荷转移产生了高试剂离子。这些见解对于提高该(和其他)环境解吸/电离源的分析性能非常有价值。

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