University of Tartu, Institute of Chemistry, 14a Ravila street, 50411 Tartu, Estonia.
Anal Chem. 2010 Apr 1;82(7):2865-72. doi: 10.1021/ac902856t.
Ionization efficiency (IE) of different compounds in electrospray ionization (ESI) source differs widely, leading to widely differing sensitivities of ESI-MS to different analytes. An approach for quantifying ESI efficiencies (as logIE values) and setting up a self-consistent quantitative experimental ESI efficiency scale of organic compounds under predefined ionization conditions (ionization by monoprotonation) has been developed recently. Using this approach a logIE scale containing 62 compounds of different chemical nature and ranging for 6 orders of magnitude has been established. The scale is based on over 400 relative IE (DeltalogIE) measurements between more than 250 different pairs of compounds. To evaluate which molecular parameters contribute the most to the IE of a compound linear regression analysis logIE values and different molecular parameters were carried out. The two most influential parameters in predicting the IE in ESI source are the pK(a) and the molecular volume of the compound. This scale and the whole approach can be a tool for practicing liquid chromatographists and mass spectrometrists. It can be used in any mass-spectrometry laboratory and we encourage practitioners to characterize their analytes with the logIE values so that a broad knowledge base on electrospray ionization efficiencies of compounds would eventually develop.
不同化合物在电喷雾电离(ESI)源中的离化效率(IE)差异很大,导致 ESI-MS 对不同分析物的灵敏度差异很大。最近开发了一种用于定量 ESI 效率(以 logIE 值表示)并在预定义的电离条件(单质子化电离)下建立有机化合物自我一致的定量实验 ESI 效率尺度的方法。使用该方法,已经建立了一个包含 62 种不同化学性质且范围涵盖 6 个数量级的 logIE 标度。该标度基于超过 400 个相对 IE(DeltalogIE)测量值,涉及超过 250 种不同化合物对。为了评估哪些分子参数对化合物的 IE 贡献最大,进行了线性回归分析 logIE 值和不同分子参数。在预测 ESI 源中的 IE 时,两个最具影响力的参数是化合物的 pK(a)和分子体积。该标度和整个方法可以成为实践液相色谱仪和质谱仪的工具。它可以在任何质谱实验室中使用,我们鼓励从业者使用 logIE 值对其分析物进行表征,以便最终开发出关于化合物电喷雾电离效率的广泛知识库。