Peró-Gascón Roger, Benavente Fernando, Barbosa José, Sanz-Nebot Victoria
Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, c/ Martí i Franqués 1-11, 3rd floor, 08028 Barcelona, Spain.
Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, c/ Martí i Franqués 1-11, 3rd floor, 08028 Barcelona, Spain.
J Chromatogr A. 2017 Jul 28;1508:148-157. doi: 10.1016/j.chroma.2017.05.069. Epub 2017 Jun 3.
In this paper we describe a strategy to estimate by CE the acidity constants (pK) of complex polyprotic peptides from their building peptide fragments. CE has been used for the determination of the pKs of five short polyprotic peptides that cover all the sequence of amyloid beta (Aβ) peptides 1-40 and 1-42 (Aβ fragments 1-15, 10-20, 20-29, 25-35 and 33-42). First, the electrophoretic mobility (m) was measured as a function of pH of the background electrolyte (BGE) in the pH range 2-12 (bare fused silica capillary, I=25mM and T=25°C). Second, the ms were fitted to equations modelling the ionisable behaviour of the different fragments as a function of pH to determine their pKs. The accuracy of the pKs was demonstrated predicting the electrophoretic behaviour of the studied fragments using the classical semiempirical relationships between m and peptide charge-to-mass ratio (m vs. q/M, classical polymer model, q=charge and M=relative molecular mass). Separation selectivity in a mixture of the fragments as a function of pH was evaluated, taking into account the influence of the electroosmotic flow (EOF) at each pH value, and a method for the simple and rapid simulation of the electropherograms at the optimum separation pH was described. Finally, the pKs of the fragments were used to estimate the pKs of the Aβ peptides 1-40 and 1-42 (C and D 3.1, E 4.6 and Y 10.8 for acidic amino acids and N-D 8.6, H 6.0, K 10.6 and R 12.5 for basic amino acids), which were used to predict their behaviour and simulate their electropherograms with excellent results. However, as expected due to the very small differences on q/M values, separation resolution of their mixtures was poor over the whole pH range. The use of poly(vinyl alcohol) (PVA) coated capillaries allowed reducing the EOF and a slight improvement of resolution.
在本文中,我们描述了一种通过毛细管电泳(CE)从其构建肽片段估计复杂多质子肽酸度常数(pK)的策略。CE已用于测定覆盖淀粉样β(Aβ)肽1-40和1-42所有序列的五个短多质子肽的pK值(Aβ片段1-15、10-20、20-29、25-35和33-42)。首先,在2-12的pH范围内(裸熔融石英毛细管,I = 25mM,T = 25°C),测量背景电解质(BGE)的pH值函数的电泳迁移率(m)。其次,将迁移率拟合到模拟不同片段作为pH值函数的可电离行为的方程中,以确定它们的pK值。使用m与肽电荷质量比之间的经典半经验关系(m与q/M,经典聚合物模型,q = 电荷,M = 相对分子质量)预测所研究片段的电泳行为,证明了pK值的准确性。考虑到每个pH值下电渗流(EOF)的影响,评估了片段混合物中作为pH值函数的分离选择性,并描述了一种在最佳分离pH下简单快速模拟电泳图的方法。最后,片段的pK值用于估计Aβ肽1-40和1-42的pK值(酸性氨基酸的C和D为3.1、E为4.6、Y为10.8,碱性氨基酸的N-D为8.6、H为6.0、K为10.6、R为12.5),这些值用于预测它们的行为并模拟它们的电泳图,结果非常好。然而,正如预期的那样,由于q/M值差异非常小,它们混合物的分离分辨率在整个pH范围内都很差。使用聚乙烯醇(PVA)涂层毛细管可以降低EOF并略微提高分辨率。