School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China.
ACS Nano. 2011 Jan 25;5(1):530-6. doi: 10.1021/nn1025252. Epub 2010 Dec 23.
Selective aggregation and precipitation of like-charged nanoparticles (NPs) covered with carboxylate ligands can be induced by different monovalent cations. The ordering of critical concentrations required for NP precipitation is Cs(+) ≫ K(+) > Li(+) > Na(+) > Rb(+) and does not correlate with the size of hydrated cations M(+), nor can it be predicted by the Hofmeister series. On the other hand, different anions have no effect on the precipitation trends. These observations are rationalized by a theoretical model combining the elements of the DLVO theory with molecular-level calculations. The key component of the model is the cation-specific binding of various metal cations to the carboxylate ligands.
带负电荷的纳米颗粒 (NPs) 表面覆盖的羧酸配体可以通过不同的单价阳离子诱导选择性聚集和沉淀。沉淀所需的临界浓度的顺序为 Cs(+) ≫ K(+) > Li(+) > Na(+) > Rb(+)，与水合阳离子 M(+)的大小无关，也不能用哈夫迈斯特序列来预测。另一方面，不同的阴离子对沉淀趋势没有影响。这些观察结果可以通过一个理论模型来解释，该模型结合了 DLVO 理论的元素和分子水平的计算。该模型的关键组成部分是各种金属阳离子与羧酸配体的特定阳离子结合。
