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Catalyst Could Make Production of Key Chemical More Eco-Friendly

A new catalyst combining copper nanoparticles with a special type of graphene could lead to a greener way of producing ethylene, a key commodity chemical

by Brown University
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Composite catalystComposite catalyst: Nitrogen-rich graphene festooned with finely tuned copper nanoparticles selectively converts carbon dioxide to ethylene.Image credit: Sun Lab / Brown UniversityPROVIDENCE, R.I. [Brown University] — The world has more carbon dioxide than it needs, and a team of Brown University chemists has come up with a potential way to put some of it to good use.

The researchers developed a new composite catalyst using nitrogen-rich graphene dotted with copper nanoparticles. A study, published in the journal Nano Energy, showed that the new catalyst can efficiently and selectively convert carbon dioxide to ethylene, one of the world’s most important commodity chemicals.

Ethylene is used to make plastics, construction materials and other products. Chemical companies produce it by the millions of tons each year using processes that usually involve fossil fuels. If excess carbon dioxide can be used to make ethylene, it could help make the chemical industry more sustainable and eco-friendly.

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“We hope that this new catalyst could be a step toward a greener way to produce ethylene,” said Shouheng Sun, a professor of chemistry and engineering at Brown, whose research team developed the catalyst. “There is much more work to be done to bring such a process to an industrial scale, but this is a start.”

Selectivity is key

Carbon dioxide is a stable form of carbon, and breaking it down into active carbon forms is no easy task. While some catalysts can do the job, they generally do not have good selectivity, meaning they create a variety of different reaction products.

“Most other techniques produce ethylene, methane, carbon monoxide—all kinds of things that you would then have to separate,” Sun said. “We wanted something that could be more selective.”

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Qing Li, a former postdoctoral fellow in Sun’s lab and now a professor at Huazhong University of Science and Technology in China, thought a catalyst that combines copper nanoparticles with graphene might be effective. Sun’s lab had previously shown that metal nanoparticles, when tuned to the right size, could have increased reactivity. Graphene, one-atom-thick sheets of carbon, has also been shown to increase catalyst reactivity.

Li, the new study’s lead author, experimented with copper nanoparticles deposited on several different graphene surfaces—pure graphene, graphene oxide and graphene doped with nitrogen in various forms. Nitrogen doping is a process of introducing nitrogen atoms into the lattice of carbon atoms that make up graphene.

The study showed that seven-nanometer copper particles deposited on graphene doped with pyridinic nitrogen (an arrangement that causes nitrogen atoms to be bonded to two carbon atoms) had the best performance. That arrangement had selectivity for ethylene of 79 percent, significantly higher than other approaches, according to the study.

"Synergistic effect"

It is not entirely clear what about the new catalyst is responsible for its performance, but Li and Sun propose a few ideas.

“It’s probably a synergistic effect,” Li said. “The pyridinic nitrogen helps to anchor the copper nanoparticles and change the electronic environment around them, which changes the reaction pathway to selectively produce ethylene.”

Sun noted that carbon dioxide can serve as a weak Lewis acid—a compound that accepts electrons from donor compounds. Pyridinic nitrogen in the nitrogen-doped graphene forms a Lewis base center.

“We think that the presence of this Lewis base center helps to draw more carbon dioxide close to the copper for the observed catalysis,” Sun said.

The researchers plan to continue work with the new catalyst, possibly using it in tandem with other catalysts to produce different reaction products.

“The possibilities are exciting,” Sun said.

Other authors on the paper were Wenlei Zhu, Jiaju Fu and Hongyi Zhang from Brown, and Gang Wu from SUNY Buffalo. The work was supported by the U.S. Army Research Laboratory and the U.S. Army Research Office (W911NF-15-1-0147 and W911NF-11-1-0353), and the National Science Foundation ( CHE-1240020).