Mechanistic model for quantifying the effect of impact force on mechanochemical reactivity†

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Emmanuel Nwoye, Shivaranjan Raghuraman, Maya Costales, James Batteas and Jonathan R. Felts
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引用次数: 0

Abstract

Conventional mechanochemical synthetic tools, such as ball mills, offer no methodology to quantitatively link macroscale reaction parameters, such as shaking frequency or milling ball radius, to fundamental drivers of reactivity, namely the force vectors applied to the reactive molecules. As a result, although mechanochemistry has proven to be a valuable method to make a wide variety of products, the results are seldom reproduceable between reactors, difficult to rationally optimize, and hard to ascribe to a specific reaction pathway. Here we have developed a controlled force reactor, which is a mechanochemical ball mill reactor with integrated force measurement and control during each impact. We relate two macroscale reactor parameters—impact force and impact time—to thermodynamic and kinetic transition state theories of mechanochemistry utilizing continuum contact mechanics principles. We demonstrate force controlled particle fracture of NaCl to characterize particle size evolution during reactions, and force controlled reaction between anhydrous copper(II) chloride and (1, 10) phenanthroline. During the fracture of NaCl, we monitor the evolution of particle size as a function of impact force and find that particles quickly reach a particle size of ∼100 μm largely independent of impact force, and reach steady state 10–100× faster than reaction kinetics of typical mechanochemical reactions. We monitor the copper(II) chloride reactivity by measuring color change during reaction. Applying our transition state theory developed here to the reaction curves of copper(II) chloride and (1, 10) phenanthroline at multiple impact forces results in an activation energy barrier of 0.61 ± 0.07 eV, distinctly higher than barriers for hydrated metal salts and organic ligands and distinctly lower than the direct cleavage of the CuCl bond, indicating that the reaction may be mediated by the higher affinity of Fe in the stainless steel vessel to Cl. We further show that the results in the controlled force reactor match rudimentary estimations of impact force within a commercial ball mill reactor Retsch MM400. These results demonstrate the ability to quantitatively link macroscale reactor parameters to reaction properties, motivating further work to make mechanochemical synthesis quantitative, predictable, and fundamentally insightful.

Abstract Image

用于量化冲击力对机械化学反应性影响的力学模型。
传统的机械化学合成工具,如球磨机,没有提供将宏观反应参数(如振动频率或磨球半径)与反应性的基本驱动因素(即施加到反应分子上的力矢量)定量联系起来的方法。因此,尽管机械化学已被证明是制造各种产品的一种有价值的方法,但其结果很少在反应器之间重现,难以合理优化,也难以归因于特定的反应途径。在这里,我们开发了一种可控力反应器,这是一种机械化学球磨机反应器,在每次冲击过程中都能进行综合力测量和控制。利用连续接触力学原理,我们将两个宏观反应器参数——冲击力和冲击时间——与机械化学的热力学和动力学过渡态理论联系起来。我们证明了NaCl的力控制颗粒断裂以表征反应过程中的颗粒尺寸演变,以及无水氯化铜(II)和(1,10)菲罗啉之间的力控制反应。在NaCl断裂过程中,我们监测了颗粒尺寸随冲击力的变化,发现颗粒很快达到~100μm的颗粒尺寸,这在很大程度上与冲击力无关,并且达到稳态的速度比典型机械化学反应的反应动力学快10-100倍。我们通过测量反应过程中的颜色变化来监测氯化铜(II)的反应性。将我们在此发展的过渡态理论应用于氯化铜(II)和(1,10)菲咯啉在多重冲击力下的反应曲线,导致0.61±0.07eV的活化能垒,明显高于水合金属盐和有机配体的势垒,并且明显低于CuCl键的直接断裂,表明该反应可能由不锈钢容器中Fe对Cl的更高亲和力介导。我们进一步表明,受控力反应器中的结果与商业球磨机反应器Retsch MM400中的冲击力的初步估计相匹配。这些结果证明了将宏观反应器参数与反应性质定量联系起来的能力,推动了进一步的工作,使机械化学合成具有定量、可预测性和基本洞察力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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