Efficient Enantiomeric Selectivity Separation Via Homochiral Graphene Oxide Membrane

Membrane‐based enantioselective separation offers various advantages, making it a promising method for chiral separation. However, its realistic application remains a challenge due to limitations in current separation performance. Here, we propose a new type of chiral graphene oxide membrane that exhibits a tyrosine racemates separation factor up to 20.1, as well as a preferential enantiomer flux of 4.5 mmol m −2 h −1 , superior to those of the most advanced membranes. Moreover, the chiral sieving application of this graphene oxide membrane is extended to four different chiral amino acids representing two distinct classes. These abundant oxygen‐containing groups in the graphene oxide membrane allow the extensive functionalization of chiral amino acids. Theoretical analyses reveal the significant interaction differences between the functionalized‐graphene oxide sheets and D‐ or L‐chiral amino acids, maintaining the remarkable chiral separation performance of this graphene oxide membrane. Besides, the novel fast protein liquid chromatography‐compatible column was further developed via stacking these chiral graphene oxide membranes, facilitating more efficient, lower operational requirement, and cost‐effective enantioselective separation, a capability that other reported high‐performance liquid chromatography‐compatible‐only materials lack. Therefore, this study not only highlights the superior performance of the specifically designed graphene oxide membrane for chiral amino acid separations but also provides an accessible, cost‐effective, and highly efficient approach for chiral separation.

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Publication Details

Journal
Energy & environment materials
Published
2026-01-15
DOI
https://doi.org/10.1002/eem2.70254
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
0.00

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article

Efficient Enantiomeric Selectivity Separation Via Homochiral Graphene Oxide Membrane

Yifan Tan, Fangfang Dai, Zonglin Gu, Liuhua Mu et al.
Energy & environment materials
Analytical Chemistry and Chromatography
article

Efficient Enantiomeric Selectivity Separation Via Homochiral Graphene Oxide Membrane

Yifan Tan, Fangfang Dai, Zonglin Gu, Liuhua Mu, Yi Li, Jie Jiang, Junbo Wang, Binquan Peng, Pei Li, Yusong Tu
article en

Abstract

Membrane‐based enantioselective separation offers various advantages, making it a promising method for chiral separation. However, its realistic application remains a challenge due to limitations in current separation performance. Here, we propose a new type of chiral graphene oxide membrane that exhibits a tyrosine racemates separation factor up to 20.1, as well as a preferential enantiomer flux of 4.5 mmol m −2 h −1 , superior to those of the most advanced membranes. Moreover, the chiral sieving application of this graphene oxide membrane is extended to four different chiral amino acids representing two distinct classes. These abundant oxygen‐containing groups in the graphene oxide membrane allow the extensive functionalization of chiral amino acids. Theoretical analyses reveal the significant interaction differences between the functionalized‐graphene oxide sheets and D‐ or L‐chiral amino acids, maintaining the remarkable chiral separation performance of this graphene oxide membrane. Besides, the novel fast protein liquid chromatography‐compatible column was further developed via stacking these chiral graphene oxide membranes, facilitating more efficient, lower operational requirement, and cost‐effective enantioselective separation, a capability that other reported high‐performance liquid chromatography‐compatible‐only materials lack. Therefore, this study not only highlights the superior performance of the specifically designed graphene oxide membrane for chiral amino acid separations but also provides an accessible, cost‐effective, and highly efficient approach for chiral separation.

Energy & environment materials
Ningbo University of Technology (CN), Fudan University (CN), University of Chinese Academy of Sciences (CN), Yangzhou University (CN)
National Natural Science Foundation of China, Fudan University, Ningbo University
Openalex Percentile: Top 88%
Analytical Chemistry and Chromatography
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