Solid progress in carbon capture
Carbon dioxide capture is a high-profile area of chemical research offering a direct approach to tackling the rise in atmospheric carbon dioxide. This greenhouse gas is largely blamed for global warming and climate change.
Professor Mohamed Eddaoudi, associate director of the University's Advanced Membranes and Porous Materials Research Center, leads a team of researchers at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, who are developing porous solids called metal-organic frameworks (MOFs) for the selective removal of various gases from gas mixtures. Their latest breakthrough material can effectively take up carbon dioxide even when it is present at concentrations as low as 400 parts per million and opens possibilities for capturing CO2 as it is generated.
MOFs contain metal ions or clusters that are held in place by organic molecules known as linkers. Altering the chemical composition and geometry of these two primary components can produce versions with varying and highly selective abilities to adsorb and store gases.
“The discovery of this latest material for capturing carbon dioxide is the result of about four to five years of work on this unique MOF platform,” said Eddaoudi. He explained that the key challenge was to create something that could exceed the performance of existing options while also greatly reducing the energy requirements over the full cycle of operation.
The researchers' response was to develop a fluorine-containing MOF in which square-grid layers encompassing Ni(II) metal centers and pyrazine linkers are bridged via pillars composed of niobium, oxygen and the fluorine atoms [1].
“The ability to control the distance between the fluorine atoms allowed us to create the ideal square-shaped pockets for trapping carbon dioxide molecules effectively and efficiently and giving our material such impressive performance,” said Eddaoudi.
The location of carbon dioxide molecules inside the MOFs was visualized using X-ray diffraction equipment at the University of Stellenbosch in South Africa.
The ability to trap carbon dioxide when it is at very low concentrations makes the new material suitable for a wide range of applications, including the direct capture from air.
Eddaoudi explained that the MOF might be adapted for use in static industrial processes that generate carbon dioxide (such as cement factories), but could also be used on board vehicles such as trucks, cars and aircraft. Capturing the carbon dioxide as soon as it is emitted could be significantly more effective and efficient than going after it when it has mixed in with the atmosphere overall.
“We are now working to scale up the use of this material, allowing us to seek industry collaboration towards eventual commercialization,” Eddaoudi said.
Associated links
Journal information
[1] Bhatt, P. M., Belmabkhout, Y., Cadiau, A., Adil, K., Shekhah, O. et al. A fine-tuned fluorinated MOF addresses the needs for trace CO2 removal and air capture using physiosorption. Journal of the American Chemical Society 138, 9301 – 9307 (2016).
Media Contact
More Information:
http://www.researchsea.comAll latest news from the category: Power and Electrical Engineering
This topic covers issues related to energy generation, conversion, transportation and consumption and how the industry is addressing the challenge of energy efficiency in general.
innovations-report provides in-depth and informative reports and articles on subjects ranging from wind energy, fuel cell technology, solar energy, geothermal energy, petroleum, gas, nuclear engineering, alternative energy and energy efficiency to fusion, hydrogen and superconductor technologies.
Newest articles
First-of-its-kind study uses remote sensing to monitor plastic debris in rivers and lakes
Remote sensing creates a cost-effective solution to monitoring plastic pollution. A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor and…
Laser-based artificial neuron mimics nerve cell functions at lightning speed
With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction. Researchers have developed a laser-based…
Optimising the processing of plastic waste
Just one look in the yellow bin reveals a colourful jumble of different types of plastic. However, the purer and more uniform plastic waste is, the easier it is to…