Researchers at Indian Institute of Technology (IIT), Guwahati, have formulated efficient "pincer" catalytic systems that transform industrial or biomass wastes into valuable chemicals.
According to the team, tiny amounts of these "pincer catalysts" repeatedly convert large amounts of industrial waste such as glycerol into lactic acid and hydrogen. Such catalysts also efficiently convert bioethanol, a low-energy density fuel, into high-energy density butanol.
"Pincer catalysts are complex molecules in which, an organic moiety holds on tightly to a metal core, much like the claws of a crab. Such an arrangement not only confers stability to the catalyst, but also selectivity to bring about the intended transformations," said IIT Guwahati professor Akshai Kumar Alape Seetharam.
"(We) rationally designed and tested a large library of 'pincer catalysts' to be used for these transformations. The experiments were carried out under environmentally benign conditions without the use of hazardous reagents and solvents.
"The most efficient pincer catalyst was found to be one that had least crowding around the metal centre. Such an arrangement enabled easy removal of hydrogen from the starting materials, glycerol and ethanol, and their selective conversion into lactic acid and butanol, respectively," he added.
The findings of the time have also been featured in the Royal Society of Chemistry journals--Chemical Communications and Catalysis Science and Technology.
"Our computational studies have attributed the unprecedented activity of the pincer catalysts to the minimal crowding present at the metal centre and have enabled good understanding of the electronic and steric (crowding) factors that control reactivity," said Hemant Kumar Srivastava from National Institute of Pharmaceutical Education and Research (NIPER) Guwahati.
The team also included research scholars Kanu Das, Moumita Dutta, Siriyara Jagannatha Prathapa, Eileen Yasmin and Babulal Das.
(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)