Applied Design Strategies for MOFs in CO 2 Capture: Balancing Stability, Selectivity, and Scalability
CO2回収におけるMOFの応用設計戦略：安定性、選択性、スケーラビリティのバランス (AI 翻訳)
R. Vinayak
🤖 gxceed AI 要約
日本語
本レビューは、CO2回収用金属有機構造体（MOF）の設計戦略を包括的に解説。欠陥工学、アミングラフト化などの手法を比較し、実用化に向けた安定性・選択性・スケーラビリティの課題と今後の方向性（機械学習活用など）を提示する。
English
This review comprehensively covers design strategies for metal-organic frameworks (MOFs) for CO₂ capture, comparing approaches like defect engineering and amine grafting. It addresses key challenges in stability, selectivity, and scalability, and outlines future directions including machine learning for discovery.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、NEDOやJOGMECが主導するCCUS実証事業が進んでおり、本レビューが示すMOFの性能比較やトレードオフ分析は、国産技術の開発指針として有用。特にアミングラフト化や階層構造設計は、国内の排ガス条件に適した材料選択に役立つ。
In the global GX context
Globally, CCUS is a key pillar for net-zero targets, and MOFs offer a tunable platform for post-combustion and direct air capture. This review's benchmarking and trade-off analysis provide practical guidance for scaling up MOF-based capture systems, addressing critical issues like moisture stability and regeneration energy.
👥 読者別の含意
🔬研究者:Provides a comprehensive benchmarking of MOF types and design strategies, with trade-off analysis useful for guiding future research.
🏢実務担当者:Offers insights on material selection and practical challenges for integrating MOFs into commercial CO₂ capture processes.
📄 Abstract（原文）
Metal–organic frameworks (MOFs) have become promising materials for capturing carbon dioxide from industrial sources and the atmosphere due to their adjustable porosity, high surface areas, and customizable chemical properties. However, turning lab results into real‐world CO 2 capture systems requires overcoming three main challenges: maintaining stability under practical conditions, achieving gas selectivity in complex mixtures, and scaling up production and integration. This review covers recent advances in MOF design strategies, focusing on how structural changes such as defect engineering, post‐synthetic functionalization, amine grafting, and optimizing framework structure affect stability, selectivity, and scalability. We compare the performance of leading MOF types (including ZIFs, MIL‐series, HKUST‐1, UiO‐66, CALF‐20, and amine‐functionalized frameworks), highlight ongoing issues such as moisture stability and regeneration energy, and explore future directions, including machine learning for discovery, hierarchical structures for process integration, and cost‐effective optimization. This review uniquely combines performance benchmarking with trade‐off analysis, providing practical insights to advance MOF‐based CO 2 capture toward commercial use.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1002/slct.73531first seen 2026-06-10 05:36:37
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