Staňo Roman, van Lente Jéré J, Lindhoud Saskia, Košovan Peter
Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria.
Vienna Doctoral School in Physics, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria.
Macromolecules. 2024 Jan 18;57(3):1383-1398. doi: 10.1021/acs.macromol.3c01209. eCollection 2024 Feb 13.
Mixing of oppositely charged polyelectrolytes can result in phase separation into a polymer-poor supernatant and a polymer-rich polyelectrolyte complex (PEC). We present a new coarse-grained model for the Grand-reaction method that enables us to determine the composition of the coexisting phases in a broad range of pH and salt concentrations. We validate the model by comparing it to recent simulations and experimental studies, as well as our own experiments on poly(acrylic acid)/poly(allylamine hydrochloride) complexes. The simulations using our model predict that monovalent ions partition approximately equally between both phases, whereas divalent ones accumulate in the PEC phase. On a semiquantitative level, these results agree with our own experiments, as well as with other experiments and simulations in the literature. In the sequel, we use the model to study the partitioning of a weak diprotic acid at various pH values of the supernatant. Our results show that the ionization of the acid is enhanced in the PEC phase, resulting in its preferential accumulation in this phase, which monotonically increases with the pH. Currently, this effect is still waiting to be confirmed experimentally. We explore how the model parameters (particle size, charge density, permittivity, and solvent quality) affect the measured partition coefficients, showing that fine-tuning of these parameters can make the agreement with the experiments almost quantitative. Nevertheless, our results show that charge regulation in multivalent solutes can potentially be exploited in engineering the partitioning of charged molecules in PEC-based systems at various pH values.
带相反电荷的聚电解质混合会导致相分离,形成聚合物含量低的上清液和聚合物含量高的聚电解质复合物(PEC)。我们提出了一种用于大反应方法的新粗粒度模型,该模型使我们能够在广泛的pH值和盐浓度范围内确定共存相的组成。我们通过将该模型与最近的模拟和实验研究以及我们自己关于聚丙烯酸/聚烯丙胺盐酸盐复合物的实验进行比较来验证该模型。使用我们的模型进行的模拟预测,单价离子在两相之间的分配大致相等,而二价离子则在PEC相中积累。在半定量水平上,这些结果与我们自己的实验以及文献中的其他实验和模拟结果一致。接下来,我们使用该模型研究弱二元酸在不同上清液pH值下的分配情况。我们的结果表明,酸在PEC相中的电离增强,导致其在该相中优先积累,并随pH值单调增加。目前,这种效应仍有待实验证实。我们探讨了模型参数(粒径、电荷密度、介电常数和溶剂质量)如何影响测量的分配系数,表明对这些参数进行微调可以使与实验的一致性几乎达到定量。然而,我们的结果表明,在设计基于PEC的系统中带电分子在不同pH值下的分配时,可以潜在地利用多价溶质中的电荷调节作用。