ACS Materials Letters · 2023 · 21 citations · 63 references
EngineeringMaterials EngineeringMaterials ScienceMaterials ChemistryMembrane ScienceNanomaterialsMembrane EngineeringMembrane FiltrationMembrane MaterialsMembrane PermeabilityNanotubesPolymeric MembranesGraphene OxideGraphene Oxide MembranesMulti-walled Carbon NanotubesNanofiltrationNanofiltration MembranesOrganic Solvent NanofiltrationOrganic Solvent Nanofiltration MembranesUltrafiltration Membranes
Membrane technology is a key enabler for a circular pharmaceutical industry, but chemically resistant polymeric membranes for organic solvent nanofiltration (OSN) often suffer from lower-than-required performances. Recently, graphene-based laminated membranes using small-flake graphene oxide (SFGO) nanosheets open up new avenues for high-performance OSN, but their permeance toward high viscosity solvents is below expectation. To address this issue, we design hyperlooping channels using multiwalled carbon nanotubes (MWCNTs) intercalated within lanthanum(III) (La 3+ )-cross-linked SFGO nanochannels to form a ternary nanoarchitecture for low-resistant transport toward high viscosity solvents. At optimized MWCNT loading, the defect-free membrane exhibits 138 L m –2 h –1 bar –1 ethanol permeance at >99% rejections toward organic dyes, outperforming state-of-the-art graphene oxide (GO)-based membranes to date. Even butanol─with twice the viscosity of ethanol─exhibits a permeance no less than 60 L m –2 h –1 bar –1 at comparable rejection rates. Theoretical simulation suggests that La 3+ cross-linking is critical and can create an intact architecture that brings size exclusion into play as the dominant separation mechanism. Also, MWCNT nanochannel offers at least 1.5-fold lower ethanol transport resistance than that of the GO nanochannel, owing to greater bulk freedom in orientating ethanol molecules. Overall, the hyperlooping architecture demonstrates ∼3-fold higher permeance than neat SFGO membrane for elevating OSN performances.
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Improved Synthesis of Graphene Oxide
Daniela C. Marcano, Dmitry V. Kosynkin, Jacob M. Berlin et al. · ACS Nano · 2010 · 11.8K citations