Carbon nanofibers (CNFs) derived from electrospun polyacrylonitrile (PAN) were investigated with respect to their gas adsorption properties. By employing CO adsorption measurements, it is shown that the adsorption capacity and selectivity of the fibers can be tailored by means of the applied carbonization temperature. General pore properties of the CNFs were identified by Ar adsorption measurements, whereas CO adsorption measurements provided information about the ultramicroporosity, adsorption energies, and adsorption capacities. Ideal adsorbed solution theory (IAST) selectivities under practically relevant conditions were determined by evaluation of single-component data for N and CO . Especially for low carbonization temperatures, the CNFs exhibit very good low-pressure adsorption performance and excellent CO /N IAST selectivities of 350 at 20 mbar and 132 at 1 bar, which are attributed to a molecular-sieve effect in very narrow slit pores. These IAST selectivities are some of the highest values for carbon materials reported in the literature so far and the highest IAST selectivities for as-prepared, non-post-treated carbon ever.
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http://dx.doi.org/10.1002/cssc.202000520 | DOI Listing |
Environ Res
January 2025
School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Tehran, Iran.
Highly effective adsorbents, with their impressive adsorption capacity and outstanding selectivity, play a pivotal role in technologies such as carbon capture and utilization in industrial flue gas applications, leading to significant reductions in greenhouse gas emissions. This study aims to synthesize advanced composites via solvothermal methods, incorporating a defective Zirconium-based MOF and amine-functionalized graphene oxide. The main objective is to enhance the CO adsorption capacity of the composite and improve its CO/N separation selectivity.
View Article and Find Full Text PDFSmall
January 2025
School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, 510640, P. R. China.
Sulfur hexafluoride (SF), widely used in electric power systems, is one of the most potent greenhouse gases. Efficient separation of SF/N by adsorptive separation technology based on porous materials is of great significance in the industry yet remains a daunting challenge. Herein, a novel strategy is introduced to construct unique pore channels with multiple SF nano-traps by precisely selecting bipyrazole ligands to design the nonpolar surface of microporous metal-organic frameworks (MOFs), which significantly enhances the material's affinity for SF.
View Article and Find Full Text PDFMolecules
December 2024
Institut Européen des Membranes (IEM), CNRS, ENSCM, Univ Montpellier, Place Eugène Bataillon, 34095 Montpellier, France.
This study explores Zeolitic Imidazolate Frameworks (ZIFs) as promising materials for adsorbing alcohol vapors, one of the main contributors to air quality deterioration and adverse health effects. Indeed, this sub-class of Metal-Organic Frameworks (MOFs) offers a promising alternative to conventional adsorbents like zeolites and activated carbons for air purification. Specifically, this investigation focuses on ZIF-8_Br, a brominated version of ZIF-8_CH, to evaluate its ability to capture aliphatic alcohols at lower partial pressures.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
Nanotechnology Research Center, Research Institute of Petroleum Industry (RIPI), West Blvd. Azadi Sports Complex, P.O. Box 14665, 1998 Tehran, Iran.
Herein, a novel nanocomposite was developed to adjust the textural properties of metal-organic frameworks (MOFs) for adsorptive applications. To this end, nitrogen-doped carbon quantum dots/reduced graphene oxide nanocomposite (RC) was embedded into MIL-101(Cr) crystals, named RC-ML-x nanocomposites. The prepared nanoadsorbents were thoroughly characterized by different techniques.
View Article and Find Full Text PDFJ Imaging
December 2024
College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.
With technological advancements, remarkable progress has been made with the convergence of health sciences and Artificial Intelligence (AI). Modern health systems are proposed to ease patient diagnostics. However, the challenge is to provide AI-based precautions to patients and doctors for more accurate risk assessment.
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