Description of Gas-Phase Ion/Neutral Interactions in Differential Ion Mobility Spectrometry: CV Prediction Using Calibration Runs
Description of Gas-Phase Ion/Neutral Interactions in Differential Ion Mobility Spectrometry: CV Prediction Using Calibration Runs
复制标题
微分离子淌度谱中气相离子/中性相互作用的描述:使用校准运行进行 CV 预测
DOI:
10.1007/s13361-014-0934-8
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发表时间:
2014
影响因子:
3.2
通讯作者:
Volmer DA
中科院分区:
文献类型:
--
作者:
Auerbach D;Aspenleiter J;Volmer DA
Differential ion mobility spectrometry (DMS) coupled to mass spectrometry is increasingly used in both quantitative analyses of biological samples and as a means of removing background interferences for enhanced selectivity and improved quality of mass spectra. However, DMS separation efficiency using dry inert gases often lacks the required selectivity to achieve baseline separation. Polar gas-phase modifiers such as alcohols are therefore frequently employed to improve selectivity via clustering/declustering processes. The choice of an optimal modifier currently relies on trial and error experiments, making method development a tedious activity. It was the goal of this study to establish a means of CV prediction for compounds using a homologous series of alcohols as gas-phase modifiers. This prediction was based on linear regression of compensation voltages of two calibration runs for the alcohols with the lowest and the highest molecular weights and readily available descriptors such as proton affinity and gas phase acidity of the modifier molecules. All experiments were performed on a commercial quadrupole linear ion trap mass spectrometer equipped with a DMS device between electrospray ionization source and entrance quadrupole lens. We evaluated our approach using a homologous series of 4-alkylbenzoic acids and a selection of 23 small molecules of high chemical diversity. Predicted CV values typically deviated from the experimentally determined values by less than 0.5 V. Several test compounds changed their ion mobility behavior for the investigated gas phase modifiers (e.g., from type B to type A) and thus could thus not be evaluated.
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影响因子:
1.8
作者:
L. Brown;C. Creaser
通讯作者:
C. Creaser
影响因子:
1.8
作者:
Krylov, E. V.;Nazarov, E. G.
通讯作者:
Nazarov, E. G.
影响因子:
--
作者:
Sven Roetering;E. Nazarov;H. Borsdorf;C. Weickhardt
通讯作者:
C. Weickhardt
DOI:
10.1007/s12127-012-0104-2
发表时间:
2012-06
影响因子:
--
作者:
G. Spangler
通讯作者:
G. Spangler
影响因子:
1.1
作者:
Pervukhin, V. V.
通讯作者:
Pervukhin, V. V.