“Swiss Army Knife” Nanoparticle Catalyst Can Make Natural Gas Burn Cleaner

The elements that make up the metal oxide nanoparticle catalyst. Credit: Zhennan Huang

Lowering the Combustion Temperature for Methane

Natural gas is the cleanest traditional fossil fuel source because it produces relatively low amounts of pollutants like carbon dioxide – a potent greenhouse gas and major contributor to climate change. But greenhouse gases and pollutants released by burning natural gas could be reduced even further with the help of advanced catalysts that help lower the temperature at which methane – the largest component of natural gas – is burned.

“The more efficiently we burn methane and the less energy we use to burn it, the less greenhouse gas and pollutants it produces. So, anything we can do to get this combustion temperature down is an environmental win,” said Reza Shahbazian-Yassar, professor of mechanical and industrial engineering at the University of Illinois Chicago.

Shahbazian-Yassar and colleagues facilitated the development of a cutting edge “Swiss Army knife” catalyst made up of 10 different elements – each of which on its own has the ability to reduce the combustion temperature of methane – plus oxygen. This unique catalyst can bring the combustion temperature of methane down by about half – from above 1400 degrees Kelvin down to 600 to 700 degrees Kelvin.

Their findings are reported in the journal Nature Catalysis.

Reza Shahbazian-Yassar, professor of mechanical and industrial engineering at the UIC College of Engineering and Zhennan Huang, a Ph.D. student in Shahbazian-Yassar’s lab and co-first author of the paper. Credit: Jenny Fontaine/UIC

In previously published research, Shahbazian-Yassar and colleagues demonstrated the ability to create multi-element nanoparticle catalysts, known as high entropy alloys using a unique shock-wave technique. Before this, materials scientists didn’t make serious attempts to create nanoparticles out of more than three elements because of the tendency of each element’s atoms to separate from each other and become useless.

Taking advantage of the unique real-time, high-temperature electron microscopy system at UIC, Shahbazian-Yassar’s team showed that high entropy nanoparticles made up of 10 metal oxides were highly stable at temperatures up to 1,073 degrees Kelvin and the individual elements were distributed evenly throughout each nanoparticle forming a single, solid-state stable crystalline structure.

Their metal oxide alloy contained various mixtures of transition metals, which are rare-earth elements, and noble metals plus oxygen.

“It is almost impossible to maintain a perfect mix of these elements in a solid phase due to the differences in atomic radius, crystal structure, oxidation potential, and electronic properties of the elements,” said Zhennan Huang, a Ph.D. student in Shahbazian-Yassar’s lab and co-first author in the paper. “But we were able to show that this is possible.”

“Among multiple alloys with multiple elements that we created, the particles made of 10 elements not only were most effective in reducing the combustion point of methane gas but also the most stable at those temperatures,” said Shahbazian-Yassar, who is a corresponding author on the paper.

The researchers believe the catalyst could be used to reduce the output of harmful greenhouse gases produced by burning natural gas in individual households, to power turbines, and even in cars that run on compressed natural gas.

Reference: “Denary oxide nanoparticles as highly stable catalysts for methane combustion” by Tangyuan Li, Yonggang Yao, Zhennan Huang, Pengfei Xie, Zhenyu Liu, Menghao Yang, Jinlong Gao, Kaizhu Zeng, Alexandra H. Brozena, Glenn Pastel, Miaolun Jiao, Qi Dong, Jiaqi Dai, Shuke Li, Han Zong, Miaofang Chi, Jian Luo, Yifei Mo, Guofeng Wang, Chao Wang, Reza Shahbazian-Yassar and Liangbing Hu, 11 January 2021, Nature Catalysis.
DOI: 10.1038/s41929-020-00554-1

Tangyuan Li, Yonggang Yao, Menghao Yang, Jinglong Gao, Alexandra Brozena, Liangbing Hu, Yifei Mo, Glenn Pastel, Miaolun Jiao, Qi Dong, Jiaqi Dai and Shuke Li of the University of Maryland; Pengfei Xie, Kaizhu Zeng, Han Zong and Chao Wang of Johns Hopkins University; Zhenyu Liu and Guofeng Wang of the University of Pittsburgh; Miaofang Chi of Oak Ridge National Laboratory and Jian Luo of the University of California, San Diego, are co-authors on the paper.