Biological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99352, USA.
Anal Chem. 2009 Nov 1;81(21):8749-57. doi: 10.1021/ac900880v.
A key application of field asymmetric waveform ion mobility spectrometry (FAIMS) has been in selectively transmitting trace analyte ions that are present in a complex ion mixture to a mass spectrometer (MS) for identification and quantification. The overall sensitivity of FAIMS-MS, however, still needs to be significantly improved through the optimization of ion transmission into FAIMS and at the FAIMS-MS interface. Processes that cause ion losses include diffusion, space charge, separation field in the FAIMS and fringe fields around the edges of the FAIMS electrodes. These were studied here by first developing an algorithm using SIMION as its core structure to compute ion trajectory at different ratios of electric field to buffer gas number density (E/N). The E/N was varied from a few Td to approximately 80 Td by using an asymmetric square waveform. The algorithm was then combined with statistical diffusion simulation (SDS) model, columbic repulsion, and a parabolic gas flow profile to realistically simulate current transmission and peak shape. The algorithm was validated using a FAIMS model identical to the Sionex Corporation SVAC model. Ions modeled included low mass ions with K(o) in the range of 2.17 (m = 55) to 1.39 cm(2) x V(-1) x s(-1) (m = 368). Good agreement was achieved between simulated and experimental CV (peak maxima) values, peak width (fwhm), and transmitted ion current I(output). The model was then used to study fringe fields in a simple arrangement where a 0.5 mm (w) gap was created between the FAIMS exit and a capillary inlet (i.d. = 0.5 mm). At an optimum CV (11.8 V), only approximately 17% (1.3 pA) of the total ion current that correlate to CV = 11.8 V, entered the capillary; bulk of the ion loss was caused by the fringe fields. Current transmission into the capillary was improved, however, by applying a 500 V DC bias across w (0.5 mm).
场非对称波形离子淌度谱(FAIMS)的一个主要应用是选择性地传输存在于复杂离子混合物中的痕量分析物离子,然后将其传输到质谱仪(MS)进行识别和定量。然而,FAIMS-MS 的整体灵敏度仍需要通过优化离子向 FAIMS 的传输以及 FAIMS-MS 接口来显著提高。导致离子损失的过程包括扩散、空间电荷、FAIMS 中的分离场以及 FAIMS 电极边缘的边缘场。在这里,我们首先使用 SIMION 作为其核心结构开发了一种算法,以计算不同电场与缓冲气体数密度(E/N)比值下的离子轨迹。通过使用不对称方波,E/N 从几个 Td 变化到大约 80 Td。然后,该算法与统计扩散模拟(SDS)模型、库仑排斥和抛物线气流分布相结合,以真实地模拟电流传输和峰形。该算法使用与 Sionex 公司 SVAC 模型相同的 FAIMS 模型进行了验证。模拟的离子包括低质量离子,其 K(o) 范围为 2.17(m = 55)至 1.39 cm(2) x V(-1) x s(-1)(m = 368)。模拟和实验 CV(峰最大值)值、峰宽(fwhm)和传输离子电流 I(output)之间达到了很好的一致性。然后,该模型用于研究在简单布置中的边缘场,在 FAIMS 出口和毛细管入口(内径= 0.5 毫米)之间创建 0.5 毫米(w)的间隙。在最佳 CV(11.8 V)下,只有大约 17%(1.3 pA)与 CV = 11.8 V 相关的总离子电流进入毛细管;大部分离子损失是由边缘场引起的。然而,通过在 w(0.5 毫米)上施加 500 V DC 偏压,可以改善离子向毛细管的传输。