Department of Chemistry and Biochemistry, Auburn University, Auburn, AL 36849-5312, USA.
Phys Chem Chem Phys. 2023 Feb 15;25(7):5313-5326. doi: 10.1039/d2cp05480a.
Transition metal oxides have been extensively used in the literature for the conversion of methane to methanol. Despite the progress made over the past decades, no method with satisfactory performance or economic viability has been detected. The main bottleneck is that the produced methanol oxidizes further due to its weaker C-H bond than that of methane. Every improvement in the efficiency of a catalyst to activate methane leads to reduction of the selectivity towards methanol. Is it therefore prudent to keep studying (both theoretically and experimentally) metal oxides as catalysts for the quantitative conversion of methane to methanol? This perspective focuses on molecular metal oxide complexes and suggests strategies to bypass the current bottlenecks with higher weight on the computational chemistry side. We first discuss the electronic structure of metal oxides, followed by assessing the role of the ligands in the reactivity of the catalysts. For better selectivity, we propose that metal oxide anionic complexes should be explored further, while hydrophylic cavities in the vicinity of the metal oxide can perturb the transition-state structure for methanol increasing appreciably the activation barrier for methanol. We also emphasize that computational studies should target the activation reaction of methanol (and not only methane), the study of complete catalytic cycles (including the recombination and oxidation steps), and the use of molecular oxygen as an oxidant. The titled chemical conversion is an excellent challenge for theory and we believe that computational studies should lead the field in the future. It is finally shown that bottom-up approaches offer a systematic way for exploration of the chemical space and should still be applied in parallel with the recently popular machine learning techniques. To answer the question of the title, we believe that metal oxides should still be considered provided that we change our focus and perform more systematic investigations on the activation of methanol.
过渡金属氧化物在将甲烷转化为甲醇的文献中得到了广泛应用。尽管在过去几十年中取得了进展,但没有发现具有令人满意的性能或经济可行性的方法。主要的瓶颈是,由于甲醇的 C-H 键比甲烷弱,因此生成的甲醇会进一步氧化。催化剂对甲烷的活化效率的每一次提高都会导致甲醇的选择性降低。因此,继续研究(理论和实验)金属氧化物作为甲烷定量转化为甲醇的催化剂是否明智?本观点侧重于分子金属氧化物配合物,并提出了通过在计算化学方面投入更多资源来绕过当前瓶颈的策略。我们首先讨论金属氧化物的电子结构,然后评估配体在催化剂反应性中的作用。为了提高选择性,我们建议进一步探索金属氧化物阴离子配合物,而金属氧化物附近的亲水性空腔可以改变甲醇的过渡态结构,显著增加甲醇的活化能垒。我们还强调,计算研究应该针对甲醇的活化反应(而不仅仅是甲烷)、完整催化循环的研究(包括重组和氧化步骤)以及使用分子氧作为氧化剂。标题所示的化学转化对理论来说是一个极好的挑战,我们相信计算研究应该在未来引领该领域。最后表明,自下而上的方法为探索化学空间提供了一种系统的方法,并且应该与最近流行的机器学习技术并行应用。为了回答标题的问题,我们认为只要我们改变我们的重点,对甲醇的活化进行更系统的研究,金属氧化物就仍然值得考虑。