Dynamic Response of Ion Mobility Spectrometry,ACS Environmental Au

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Dynamic Response of Ion Mobility Spectrometry
ACS Environmental Au ( IF 6.7 ) Pub Date : 2022-06-08 , DOI: 10.1021/jasms.2c00010
Mahmoud Tabrizchi ₁ , Elaheh Maki Abadi ₁ , Razieh Parchami ₁ , Elham Fadaei ₁

Affiliation

Ion mobility spectrometers (IMS) are widely used in the security industry as well as in analytical measurements. Nevertheless, the IMS input is dynamic in nature because the sampling input can vary over time. Similar to most instruments, IMS is unable to respond immediately to variations in the input sample. Therefore, the measurements are made under transient conditions, which may affect the results. This work investigates the dynamic response of an IMS to different inputs, including steps, pulsed, exponential, and Gaussian functions. A theoretical model was developed based on two phenomena: the accumulation or dilution of a sample in the ionization region and the adsorption or desorption inside the injection port. Both processes have a charging/discharging nature. Thus, a mathematical expression was derived that takes into account two RC circuits in series. Fitting the output signal of the experimental data to the expression obtained from the model gave reasonable time constants of 2–4 s and 15–20 s for the dilution and the desorption processes, respectively. The model performance was evaluated by comparing the output with the experimental results, which were in excellent correlation. IMS was also found to behave in a manner similar to a second-order instrument, in which the output is related to the input via a second-order differential equation. These results are applicable to GC-IMS and IMS-based detectors.

中文翻译：

离子淌度谱的动态响应

离子迁移谱仪 (IMS) 广泛用于安全行业以及分析测量。然而，IMS 输入本质上是动态的，因为采样输入会随时间变化。与大多数仪器类似，IMS 无法立即响应输入样本的变化。因此，测量是在瞬态条件下进行的，这可能会影响结果。这项工作研究了 IMS 对不同输入的动态响应，包括阶跃函数、脉冲函数、指数函数和高斯函数。基于两种现象建立了一个理论模型：样品在电离区域的积累或稀释，以及进样口内的吸附或解吸。这两个过程都具有充电/放电性质。因此，推导了一个数学表达式，其中考虑了两个串联的 RC 电路。将实验数据的输出信号拟合到从模型中获得的表达式，分别给出了稀释和解吸过程的 2-4 秒和 15-20 秒的合理时间常数。通过将输出与实验结果进行比较来评估模型性能，这些结果具有很好的相关性。还发现 IMS 的行为方式类似于二阶仪器，其中输出通过二阶微分方程与输入相关。这些结果适用于 GC-IMS 和基于 IMS 的检测器。分别。通过将输出与实验结果进行比较来评估模型性能，这些结果具有很好的相关性。还发现 IMS 的行为方式类似于二阶仪器，其中输出通过二阶微分方程与输入相关。这些结果适用于 GC-IMS 和基于 IMS 的检测器。分别。通过将输出与实验结果进行比较来评估模型性能，这些结果具有很好的相关性。还发现 IMS 的行为方式类似于二阶仪器，其中输出通过二阶微分方程与输入相关。这些结果适用于 GC-IMS 和基于 IMS 的检测器。

更新日期：2022-06-08

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