Pandey Srijana, Gautam Dinesh, Chen Jixin
Department of Chemistry and Biochemistry, Nanoscale & Quantum Phenomena Institute, Ohio University, Athens, Ohio 45701, United States.
J Phys Chem B. 2024 Jul 25;128(29):7254-7262. doi: 10.1021/acs.jpcb.4c03359. Epub 2024 Jul 16.
Many interactions between small molecules and particles occur in solutions. They are surrounded by other molecules that do not react, for example, biological processes in water, chemical reactions in gas or liquid solutions, and environmental reactions in air and water. However, predicting the rate of such diffusive interactions remains challenging, due to the random motion of molecules in solutions, as exampled by the famous Brownian motion of pollen particles. In this report, we experimentally confirmed that a disruptive rate equation we have published before can predict the association rate of typical adsorption at interfaces, which has a surprising fraction order of 4/3 that has not been considered before. This could be an important step toward a generalized method to predict the adsorption rate of many reactions.
小分子与颗粒之间的许多相互作用发生在溶液中。它们被其他不发生反应的分子所包围，例如，水中的生物过程、气体或液体溶液中的化学反应以及空气和水中的环境反应。然而，由于溶液中分子的随机运动，预测这种扩散相互作用的速率仍然具有挑战性，花粉颗粒著名的布朗运动就是一个例子。在本报告中，我们通过实验证实，我们之前发表的一个破坏速率方程可以预测界面处典型吸附的缔合速率，其具有令人惊讶的4/3分数阶，这是之前未被考虑过的。这可能是迈向预测许多反应吸附速率的通用方法的重要一步。
