In Arkansas, SIEV Technologies, a catalytic membrane reactor design company started by University of Arkansas researchers, has been awarded a $256,000 Small Business Innovation Research Grant from the National Science Foundation to develop technology that improves biofuel production. The grant will enable SIEV to continue developing its business model as well as its catalytic membrane […]
In Arkansas, University of Arkansas researchers have developed an efficient tool for controlling genes in methanogens, a finding that could advance research in fields as diverse as climate change and biofuel production. The tool, a variation of the CRISPR-Cas9 system, was used to repress targeted gene functions in methanogens without altering any DNA in the […]
In Arkansas, a University of Arkansas biologist working on research that could decrease the need for agricultural fertilizers and boost the production of biofuels recently received grants totaling more than $1 million from the National Science Foundation and the U.S. Department of Energy. He is studying how methanogens, organisms similar to bacteria, are able to […]
In Arkansas, University of Arkansas biologist Ruben Michael Ceballos is developing methods that could make the production of biofuel more efficient and environmentally sound using a protein derived from microorganisms that live in acidic geothermal pools and springs to enhance the process of turning organic material into fuel. Ceballos, an assistant professor in the Department […]
In Arkansas, the University of Arkansas is helping lead an effort to develop a bioscience network of scientists in the United States and Southeast Asia. The National Science Foundation recently awarded a $500,000 grant to establish the Food, Energy, Water and Ecosystems Resources Research Coordination Network, to build a team of minority and minority-serving faculty […]
In Arkansas, a University of Arkansas chemistry professor has received a $400,000 award from the National Science Foundation to investigate a roadblock in the harvesting of biomass from perennial plants for the purpose of creating a source of renewable energy. Computational modeling is an important route toward understanding this process. Wang will develop computer models […]
