Ammonia is a strong-smelling, colourless gas that has become an essential chemical for agriculture and pharmaceutical companies, with around 200 million tonnes produced and consumed each year.
Credit: Southeast University, China
Ammonia is a strong-smelling, colourless gas that has become an essential chemical for agriculture and pharmaceutical companies, with around 200 million tonnes produced and consumed each year.
The Haber-Bosch process is the only option currently available for industrial production of ammonia, but the elevated temperature and pressure it requires, leads to high energy use and CO2 emission rates. As a result, researchers have been seeking new energy-saving and eco-friendly methods for ammonia synthesis. The electrocatalytic reduction of dinitrogen, a colorless, odorless gas that makes up approximately 78% of the Earth’s atmosphere, is proving a promising approach.
In a study published in the KeAi journal Green Energy & Environment, researchers screened dozens of single-atom and double-atom catalysts in a bid to find a new, more green option for the dinitrogen reduction process. Study author Qiang Zhou, who is currently a PhD student in the Department of Mechanical Engineering at Japan’s Tokyo University, explains: “Catalyst design is the most crucial element in successful electrocatalytic dinitrogen reduction. We knew that heterogenous catalysts, in other words, catalysts with multiple phases, have the highest ammonia yield rate, but we wanted to find out why, and then use that knowledge to identify new, even more effective electrocatalytic options.”
Zhou and his colleagues used density functional theory (DFT), a computational quantum mechanical modelling method used to investigate the electronic structure of systems, such as atoms and molecules. According to Zhou, “it is widely employed to design novel catalysts, to support experimental results, and to investigate catalytic mechanism. We knew that DFT simulation would not only help us know which catalysts worked well, but know why they worked well. And that would help us better understand the reaction process and design better catalysts.”
Using DFT computation, the research team systematically screened and compared dozens of single-atom catalysts. This gave them vital information to develop a general strategy for the design of dual-atom (heterogeneous) catalysts. They found that a dual-atom approach using a hybrid of iron and molybdenum was the most effective at activating the dinitrogen.
According to Dr. Feng Gong, an investigator from Southeast University, China, who led the study, this finding has the potential to greatly impact the field of heterogeneous catalysis. He adds: “It is our hope it will provide some guidelines for future experimental synthesis of dual-atom catalysts and encourage scientists to continue exploring the mechanism of catalytic reactions.”
###
Contact the authors: Gong Feng, [email protected] | Qiang Zhou [email protected]
The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 100 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).
Journal
Green Energy & Environment
DOI
10.1016/j.gee.2022.06.005
Method of Research
Computational simulation/modeling
Subject of Research
Not applicable
Article Title
1+1>2: Learning from the interfacial modulation on single-atom electrocatalysts to design dual-atom electrocatalysts for dinitrogen reduction
Article Publication Date
15-Jun-2022
COI Statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.