Scientists have developed a new laser technique that may help find sustainable ways to replace fossil fuels with more efficient clean energy.
New laser technique to help develop efficient clean fuels
Carbon dioxide (CO2) is a hugely abundant waste product that can be converted into energy-rich by-products, such as carbon monoxide, said researchers at the University of Liverpool in the UK. However, this process needs to be made far more efficient for it to work on a global, industrial scale, according to the study published in the journal Nature Catalysis.
Researchers at the University of Liverpool, in collaboration with Beijing Computational Science Research Center in China, demonstrated a laser-based spectroscopy technique that can be used to study the electrochemical reduction of CO2 in-situ or original place and provide much-needed insights into these complex chemical pathways.
The researchers used a technique called Vibrational Sum-Frequency Generation (VSFG) spectroscopy coupled with electrochemical experiments to explore the chemistry of a particular catalyst called Mn(bpy)(CO)3Br, which is one of the most promising and intensely studied CO2 reduction electrocatalysts.
Using VSFG, the researchers were able to observe key intermediates that are only present at an electrode surface for a very short time -- something that has not been achieved in previous experimental studies.
"A huge challenge in studying electrocatalysts in situ is having to discriminate between the single layer of short-lived intermediate molecules at the electrode surface and the surrounding 'noise' from inactive molecules in the solution," said Gaia Neri, who was part of the Liverpool team. "We've shown that VSFG makes it possible to follow the behaviour of even very short-lived species in the catalytic cycle.
"This is exciting as it provides researchers with new opportunities to better understand how electrocatalysts operate, which is an important next step towards commercialising the process of electrochemical CO2 conversation into clean fuel technologies," Neri said.
Following on from this research, the team is now working to further improve the sensitivity of the technique and is developing a new detection system that will allow for a better signal-to-noise ratio.