A team of chemical and biological engineers has developed highly selective membrane filters that could enable manufacturers to separate and purify chemicals in ways that are currently impossible, allowing them to potentially use less energy and cut carbon emissions, according to findings published in print today in the journal ACS Nano.
Tufts University scientists said the sophisticated membranes can separate organic compounds not only by size—as small as a molecule—but also by their electrostatic charge, meaning manufacturers could sort compounds by both size and type. The membranes use a simple, scalable process in which a specialty polymer is dissolved in a solvent and coated onto a porous support. The polymer self-assembles to create approximately 1 nanometer size channels that mimic biological systems, such as ion channels, which control the passage of compounds through cell membranes with great effectiveness.
Corresponding-author Ayse Asatekin, Ph.D., a chemical and biological engineering professor in the Tufts School of Engineering, said the team's discovery responds to industry-wide calls for the development of more efficient solutions for separating chemicals, which accounts for 10 to 15 percent of global energy use, according to a report in Nature.
"Our study is promising because it is the first demonstration of a new way of making these selective membranes that are so important for chemical manufacturing," she said. "Designing very selective membranes that can perform these complex separations could really boost energy efficiency and greatly reduce manufacturing waste."
The newly designed membranes can:
- Allow neutral compounds to pass through 250 times faster than charged compounds of similar size;
- When charged and uncharged compounds are mixed, prevent the charged compound from passing through at all—its passage is averted because the neutral compound gets into the channels first and prevents the charge compound from entering; and
- Provide the ability to separate charged and uncharged compounds in various filtration systems.
Asatekin noted that the charge-based separation is enhanced when the solution contains a mixture of solutes, which indicates that the membrane structure successfully mimics how biological systems such as ion channels operate. This discovery has led the researchers to believe that this approach can be used to address other separations, and bring about selectivities above and beyond what can be attained using conventional membranes.
"This means we could potentially make filters that are capable of separations that cannot be achieved currently. Filters today usually are limited to separating big from small, and we want to be able to separate compounds that are the same size but different," Asatekin said.
Asatekin noted some potential applications for this project include the purification of antibiotics, amino acids, antioxidants and other small molecule biologic compounds, and the separation of ionic liquids from sugar in biorefinery facilities. However, she said she believes this general approach may potentially be adapted further to different separations with further research.
Asatekin serves as the principal investigator of the Smart Polymers, Membranes, and Separations Laboratory at Tufts. The lab aims to develop the next generation of membranes by designing them from molecules up. The membranes rely on polymers that self-assemble, form nanostructures, and expose chemical functionalities that enable them to perform tasks normally not expected from membranes. They remove not only bacteria but also heavy metals, react to stimuli, and separate small molecules by chemical structure. Overall, the goal is to develop membranes that will help generate clean, safe water more efficiently and separate chemicals with lower energy use.
Explore further: Membranes for the industrial-scale separation of chemical mixtures
Ilin Sadeghi et al, Selective Transport through Membranes with Charged Nanochannels Formed by Scalable Self-Assembly of Random Copolymer Micelles, ACS Nano (2017). DOI: 10.1021/acsnano.7b07596