Metal Variance in Multivariate Metal–Organic Frameworks for Boosting Catalytic Conversion of CO 2
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Abstract
Developing efficient, low-cost, MOF catalysts for CO2 conversion at low CO2 concentrations under mild conditions is particularly interesting but remains highly challenging. Herein, we prepared an isostructural series of two-dimensional (2D) multivariate metal–organic frameworks (MTV-MOFs) containing copper- and/or silver-based cyclic trinuclear complexes (Cu-CTC and Ag-CTC). These MTV-MOFs can be used as efficient and reusable heterogeneous catalysts for the cyclization of propargylamine with CO2. The catalytic performance of these MTV-MOFs can be engineered by fine-tuning the Ag/Cu ratio in the framework. Interestingly, the induction of 10% Ag remarkably improved the catalytic efficiency with a turnover…
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113
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10Topics & keywords
Topics
Keywords
- Chemistry
- Multivariate statistics
- Boosting (machine learning)
- Metal
- Catalysis
- Metal-organic framework
- Multivariate analysis
- Variance (accounting)
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