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Hyperlooping Carbon Nanotube-Graphene Oxide Nanoarchitectonics as Membranes for Ultrafast Organic Solvent Nanofiltration AITranslate

Nanyang Technological University; Nanyang Technological University; Nanyang Technological University; Gebze Technical University; Nanyang Technological University; Nanyang Technological University; Nanyang Technological University; Nanyang Technological University; Korea Advanced Institute of Science and Technology (KAIST); Nanyang Technological University
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Publisher: ACS
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Abstract AITranslate

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) (La3+)-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 La3+ 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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DOI:https://doi.org/10.1021/acsmaterialslett.2c00997

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Citation Information:

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) (La3+)-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 La3+ 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.

quote

GB/T 7714-2015 [1] Lina Nie, Kunli Goh, Yu Wang, et al. ACS Materials Letters, 2023(5). DOI:10.1021/acsmaterialslett.2c00997.
MLA [1] Lina Nie, et al., ACS Materials Letters, no. 5, 2023, https://doi.org/10.1021/acsmaterialslett.2c00997.
APA [1] Lina Nie, Kunli Goh, Yu Wang, Sadiye Velioğlu, Yinjuan Huang, Shuo Dou, Yan Wan, Kun Zhou, TaeHyun Bae, & JongMin Lee. (2023). ACS Materials Letters(5). https://doi.org/10.1021/acsmaterialslett.2c00997
IEEE [1] Lina Nie, Kunli Goh, Yu Wang, Sadiye Velioğlu, Yinjuan Huang, Shuo Dou, Yan Wan, Kun Zhou, TaeHyun Bae, and JongMin Lee, ACS Materials Letters, no. 5, 2023, doi: 10.1021/acsmaterialslett.2c00997.