Unraveling the Multi-Enzyme-Like Activities of Iron Oxide Nanozyme via a First-Principles Microkinetic Study

化学 催化作用 纳米材料 机制(生物学) 密度泛函理论 反应机理 联想代换 反应速率常数 计算化学 动力学 纳米技术 材料科学 有机化学 哲学 物理 认识论 量子力学
作者
Sibei Guo,Ling Guo
出处
期刊:Journal of Physical Chemistry C [American Chemical Society]
卷期号:123 (50): 30318-30334 被引量:75
标识
DOI:10.1021/acs.jpcc.9b07802
摘要

The design and construction of efficient artificial enzyme-mimicking nanomaterials, nanozymes, is highly desirable because of their high stability and low cost. Recent studies have demonstrated iron oxide nanomaterials as multifunctional nanozymes. However, the catalytic mechanism remains unclear. Herein we have combined density functional theory calculations with microkinetic modeling to demonstrate (Fe 3 O 4 ) n ( n = 1 to 2) exhibiting the intrinsic activity of mimicking enzymes of catalases (CATs), superoxide dismutases (SODs), and peroxidases (PODs). Their catalytic activities are facilitated by the close proximity of undercoordinated, tunable Fe/O pairs on the (Fe 3 O 4 ) n surfaces. The (Fe 3 O 4 ) n ( n = 1 to 2) with different morphologies and sizes exhibited different catalytic activities on the order of Fe 3 O 4 > (Fe 3 O 4 ) 2 . Three possible reaction mechanisms of CAT-like activity (i.e., base-like dissociative mechanism, acid-like dissociative mechanism, and bihydrogen peroxide associative mechanism) and two possible reaction mechanisms of SOD-like activity (i.e., Langmuir–Hinshelwood mechanism and Eley–Rideal mechanism) are systematically explored based on minimum energy path calculations. It is identified that the acid-like dissociative mechanism and the Langmuir–Hinshelwood mechanism are the energetically most favorable pathways, which is proved by the analysis of the rate-determining step, the energetic span model, and the rate constant. The degree of turnover frequency control ( X TOF ) of the species in the mechanism is calculated and identifies the rate-controlling intermediates and transition states (i.e., those with the highest X TOF ), which are used as descriptors to modify and improve the (Fe 3 O 4 ) n catalysts. This study should not only aid our understanding of Fe 3 O 4 artificial enzymes from atomic level but also facilitate the design and construction of other types of target-specific artificial enzymes.
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