4.8 Review

Natural Products Derived Porous Carbons for CO2 Capture

期刊

ADVANCED SCIENCE
卷 -, 期 -, 页码 -

出版社

WILEY
DOI: 10.1002/advs.202304289

关键词

adsorption; biomass; CO2 capture; machine learning; porous carbon; simulation; synthesis

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With global warming and climate change being a reality, international investments are increasingly being made in climate change mitigation. Carbon capture and separation (CCS) is gaining paramount importance as an effective solution for global warming. Sorption on porous materials, especially natural products-derived porous carbons, shows promise as an alternative to traditional CO2 capture technologies due to their sustainable availability, economic viability, and recyclability. This review provides crucial insights and analyses on the application of porous carbons in CO2 capture, including synthesis methods, structural characterization, and the use of simulation techniques. The review also outlines future research directions to progress the use of natural products-derived porous carbons for CO2 capture.
As it is now established that global warming and climate change are a reality, international investments are pouring in and rightfully so for climate change mitigation. Carbon capture and separation (CCS) is therefore gaining paramount importance as it is considered one of the powerful solutions for global warming. Sorption on porous materials is a promising alternative to traditional carbon dioxide (CO2) capture technologies. Owing to their sustainable availability, economic viability, and important recyclability, natural products-derived porous carbons have emerged as favorable and competitive materials for CO2 sorption. Furthermore, the fabrication of high-quality value-added functional porous carbon-based materials using renewable precursors and waste materials is an environmentally friendly approach. This review provides crucial insights and analyses to enhance the understanding of the application of porous carbons in CO2 capture. Various methods for the synthesis of porous carbon, their structural characterization, and parameters that influence their sorption properties are discussed. The review also delves into the utilization of molecular dynamics (MD), Monte Carlo (MC), density functional theory (DFT), and machine learning techniques for simulating adsorption and validating experimental results. Lastly, the review provides future outlook and research directions for progressing the use of natural products-derived porous carbons for CO2 capture.

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