Glycerin, a low-valued waste from biodiesel production, and dopamine were used as precursors for adsorbent materials. The study is centered on the preparation and application of microporous activated carbon as adsorbent materials in the separation of ethane/ethylene and of gases that are natural gas or landfill gas components (ethane/methane and carbon dioxide/methane). The activated carbons were produced by the following sequence reactions: facile carbonization of a glycerin/dopamine mixture and chemical activation. Dopamine allowed the introduction of nitrogenated groups that improved the selectivity of the separations. The activating agent was KOH, but its mass ratio was kept lower than one to improve the sustainability of the final materials. The solids were characterized by N adsorption/desorption isotherms, SEM, FTIR spectroscopy, elemental analysis, and point of zero charges (pH). The order for adsorption of the different adsorbates (in mmolg) on the most well performing material-Gdop0.75-is methane (2.5) < carbon dioxide (5.0) < ethylene (8.6) < ethane (8.9).
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http://dx.doi.org/10.3390/molecules28104071 | DOI Listing |
Environ Res
December 2024
College of Materials Science and Engineering, Fuzhou University, Fuzhou 350116, PR China. Electronic address:
This work developed a novel oxidized hierarchical porous carbon (OHPC) with vesicule-like ultrathin graphitic walls via a method of air oxidation and used as an efficient adsorbent for Congo red (CR) and Malachite green (MG) removal. Results show that the OHPC2 oxidized at 400 °C possesses three-dimensional hierarchical pores with vesicule-like ultrathin graphitic walls. The prepared OHPC2 not only has a large specific surface area of 1020 m g with a high pore volume, but also has abundant oxygen-containing functional groups.
View Article and Find Full Text PDFChemosphere
December 2024
Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, USA. Electronic address:
Phosphate (PO(III)) contamination in water bodies poses significant environmental challenges, necessitating efficient and accurate methods to predict and optimize its removal. The current study addresses this issue by predicting the adsorption capacity of PO(III) ions onto biochar-based materials using five probabilistic machine learning models: eXtreme Gradient Boosting LSS (XGBoostLSS), Natural Gradient Boosting, Bayesian Neural Networks (NN), Probabilistic NN, and Monte-Carlo Dropout NN. Utilizing a dataset of 2952 data points with 16 inputs, XGBoostLSS demonstrated the highest R (0.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
Dept. of Engineering, University of Campania Luigi Vanvitelli, Real Casa dell'Annunziata, via Roma 29, 81031 Aversa, CE, Italy. Electronic address:
Hypothesis: The porosity affects the rheological response of porous particle suspensions.
Experiments: Non-Brownian suspensions of porous particles immersed in a Newtonian Polyisobutene are investigated. Three different particles, with different porosity, pore structure and similar size, and non-porous irregular particles are used.
Sci Rep
December 2024
Qatar Environment and Energy Research Institute (QEERI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, 34110, Qatar.
This study aims to modify raw zeolite with metal oxide nanocomposites to remove nickel (Ni) ions from synthetic wastewater. Novel zeolite-doped magnesium oxide (MgO), iron oxide (FeO), and zinc oxide (ZnO) nanocomposites were synthesized by hydrothermal-calcination methods. The novel zeolite-doped metal oxide nanocomposites were used as adsorbents to remove Ni (II) ions from synthetic wastewater.
View Article and Find Full Text PDFSci Rep
December 2024
Interdisciplinary Centre for Water Research (ICWaR), Indian Institute of Science, Bangalore, 560012, India.
This study presents the synthesis of a green polymer-based nanocomposite by incorporating green CuO nanoparticles into polyaniline (PANI) for the adsorption of Pb (II) ions from contaminated water. The nanocomposite was extensively characterized using FTIR, XRD, BET, SEM-EDX, XPS, and Raman spectroscopy, both before and after Pb(II) adsorption. Optimization studies were performed to assess the effects of key parameters, including pH, adsorbent dosage, and initial ion concentration on the adsorption process.
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