Electrostatic Potential Matching in an Anion‐Pillared Framework for Benchmark Hexafluoroethane Purification from Ternary Mixture

Abstract One‐step purification of CF 3 CF 3 from ternary CF 3 CH 2 F/CF 3 CHF 2 /CF 3 CF 3 mixture is crucial since its vital role in the semiconductor industry. However, efficient separation of chemically inert CF₃CF₃ remains challenging due to the difficulty in creating specific recognition sites in porous materials. In this work, we report the first example of anion‐pillared MOFs to the separation of fluorinated electronic specialty gases, utilizing the unique electrostatic potential matching in the bipolar pores of SIFSIX‐1‐Cu to realize a benchmark CF 3 CH 2 F/CF 3 CHF 2 /CF 3 CF 3 separation. SIFSIX‐1‐Cu exhibits the highest CF 3 CH 2 F and CF 3 CHF 2 adsorption capacity at 0.01 bar, as well as the highest CF 3 CH 2 F/CF 3 CF 3 and CF 3 CHF 2 /CF 3 CF 3 IAST selectivity. Additionally, high‐purity (≥ 99.995%) CF 3 CF 3 with record productivity (882.9 L kg −1 ) can be acquired through one‐step breakthrough experiment of CF 3 CH 2 F/CF 3 CHF 2 /CF 3 CF 3 (5/5/90). Theoretical calculations further reveal that the coexistence of electronegative SiF 6 2− and partially electropositive H sites promotes SIFSIX‐1‐Cu to effectively anchor CF 3 CH 2 F and CF 3 CHF 2 through multiple supramolecular interactions.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2025-04-08
DOI
https://doi.org/10.1002/ange.202505355
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrostatic Potential Matching in an Anion‐Pillared Framework for Benchmark Hexafluoroethane Purification from Ternary Mixture

Rajamani Krishna, Hengbo Li, Shuixiang Zou, Mingyan Wu et al.
Angewandte Chemie
Gas Sensing Nanomaterials and Sensors
article

Electrostatic Potential Matching in an Anion‐Pillared Framework for Benchmark Hexafluoroethane Purification from Ternary Mixture

Rajamani Krishna, Hengbo Li, Shuixiang Zou, Mingyan Wu, Yashuang Li, Danhua Song, Wenjing Zhang, Cheng Chen, Jinghong Yang
article en

Abstract

Abstract One‐step purification of CF 3 CF 3 from ternary CF 3 CH 2 F/CF 3 CHF 2 /CF 3 CF 3 mixture is crucial since its vital role in the semiconductor industry. However, efficient separation of chemically inert CF₃CF₃ remains challenging due to the difficulty in creating specific recognition sites in porous materials. In this work, we report the first example of anion‐pillared MOFs to the separation of fluorinated electronic specialty gases, utilizing the unique electrostatic potential matching in the bipolar pores of SIFSIX‐1‐Cu to realize a benchmark CF 3 CH 2 F/CF 3 CHF 2 /CF 3 CF 3 separation. SIFSIX‐1‐Cu exhibits the highest CF 3 CH 2 F and CF 3 CHF 2 adsorption capacity at 0.01 bar, as well as the highest CF 3 CH 2 F/CF 3 CF 3 and CF 3 CHF 2 /CF 3 CF 3 IAST selectivity. Additionally, high‐purity (≥ 99.995%) CF 3 CF 3 with record productivity (882.9 L kg −1 ) can be acquired through one‐step breakthrough experiment of CF 3 CH 2 F/CF 3 CHF 2 /CF 3 CF 3 (5/5/90). Theoretical calculations further reveal that the coexistence of electronegative SiF 6 2− and partially electropositive H sites promotes SIFSIX‐1‐Cu to effectively anchor CF 3 CH 2 F and CF 3 CHF 2 through multiple supramolecular interactions.

Angewandte ChemieVol. 137(24)
Chinese Academy of Sciences (CN), Fujian Institute of Research on the Structure of Matter (CN), Institute for Molecular Science (JP), University of Chinese Academy of Sciences (CN), State Key Laboratory of Structural Chemistry, Amsterdam University of Applied Sciences (NL), University of Amsterdam (NL)
Openalex Percentile: Top 94%
Gas Sensing Nanomaterials and Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.