Carta Maria, Delogu Francesco, Porcheddu Andrea
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, via Marengo 2, 09123 Cagliari, Italy.
Department of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria, SS 554 bivio per Sestu, 09042 Monserrato, CA, Italy.
Phys Chem Chem Phys. 2021 Jul 7;23(26):14178-14194. doi: 10.1039/d1cp01361k.
With its ability to enable solvent-free chemical reactions, mechanochemistry promises to open new and greener synthetic routes to chemical products of industrial interest. Its practical exploitation requires understanding the relationships between processing variables, powders' mechanical behaviour, and chemical reactivity. To this aim, rationalizing experimental kinetics is of paramount importance. In this work, we propose a phenomenological kinetic model that could help experimentalists to disentangle the mechanical, chemical, and statistical factors underlying mechanochemical reactions. The model takes into account the statistical nature of ball milling and relates the global kinetic curve that can be obtained experimentally to the deformation and chemical processes that occur on the mesoscopic and microscopic scales during individual impacts. We show that our model equations can satisfactorily best fit experimental datasets, providing information on the underlying mechanochemistry.
机械化学具有实现无溶剂化学反应的能力,有望为具有工业价值的化学产品开辟新的、更绿色的合成路线。其实际应用需要了解加工变量、粉末的机械行为和化学反应性之间的关系。为此,合理分析实验动力学至关重要。在这项工作中,我们提出了一个唯象动力学模型,该模型可以帮助实验人员理清机械化学反应背后的机械、化学和统计因素。该模型考虑了球磨的统计性质,并将通过实验获得的整体动力学曲线与单个冲击过程中在介观和微观尺度上发生的变形和化学过程联系起来。我们表明,我们的模型方程能够令人满意地最佳拟合实验数据集,提供有关潜在机械化学的信息。