Hierarchically MOF‐Based Porous Monolith Composites for Atmospheric Water Harvesting
This review explores the design of hierarchical porous materials for atmospheric water harvesting, focusing on metal‐organic frameworks (MOFs) and porous monoliths. Emphasis is placed on integrating MOF nanoscale porosity with the microscale channels of monolithic scaffolds to enhance sorption‐desorption performance.
Mahyar Panahi‐Sarmad+7 more
wiley +1 more source
Geopolymer-Based Stabilization of Heavy Metals, the Role of Chemical Agents in Encapsulation and Adsorption: Review. [PDF]
Genua F, Lancellotti I, Leonelli C.
europepmc +1 more source
Conductive Polymer Coatings Control Reaction Selectivity in All‐Iron Redox Flow Batteries
Aqueous redox flow batteries are limited by the competing hydrogen evolution reaction (HER) at their negative electrodes. In this work, conductive polymers are conformally coated on porous carbonaceous electrodes to improve the reaction selectivity of hybrid all‐iron redox flow batteries.
Emre B. Boz+3 more
wiley +1 more source
Effects of Environmental Non-Essential Toxic Heavy Metals on Epigenetics During Development. [PDF]
Kurita H, Ohuchi K, Inden M.
europepmc +1 more source
Adsorption and Separation by Flexible MOFs
Flexible metal–organic frameworks (MOFs) present significant potential for gas storage and separation due to their structural dynamic. This review explores the rationale behind the flexible MOFs' enhanced working capacity and separation factors. It also addresses key challenges, including phase transition kinetics, crystal robustness, cycling, shaping,
Irena Senkovska+4 more
wiley +1 more source
Biomarkers of heavy metals pollution in mangrove ecosystems: Comparative assessment in industrial impact and conservation zones. [PDF]
Rozirwan+6 more
europepmc +1 more source
Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai+8 more
wiley +1 more source
The interpretable machine learning model for depression associated with heavy metals via EMR mining method. [PDF]
Xu S, Sun M.
europepmc +1 more source