2020
DOI: 10.1016/j.clay.2020.105735
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Catalytic degradation of P-chlorophenol by muscovite-supported nano zero valent iron composite: Synthesis, characterization, and mechanism studies

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Cited by 50 publications
(15 citation statements)
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“…A brilliant 2D carbon-based material was discovered via a micromechanical cleavage 'scotch-tape' approach in 2004 [19,20]. Extraordinary properties of graphene encouraged researchers to utilize this carbon-based material in several fields, including hydrogen storage, batteries, conductors, solar cells, capacitors, fuel cells, biosensing, drug delivery, catalysis, transistors, and composite materials [21][22][23].…”
Section: Graphenementioning
confidence: 99%
“…A brilliant 2D carbon-based material was discovered via a micromechanical cleavage 'scotch-tape' approach in 2004 [19,20]. Extraordinary properties of graphene encouraged researchers to utilize this carbon-based material in several fields, including hydrogen storage, batteries, conductors, solar cells, capacitors, fuel cells, biosensing, drug delivery, catalysis, transistors, and composite materials [21][22][23].…”
Section: Graphenementioning
confidence: 99%
“…In MD, a hydrophobic membrane is used as a separation layer between a hot feed and cool permeate. The driving force is the partial vapor pressure difference brought about by temperature difference across the membrane [ 68 , 69 ]. MD technology is not entirely new, but it has regained much interest in the past three decades due to improvements in the module design and materials development.…”
Section: Applications Of Electrospun Nanofiber Compositesmentioning
confidence: 99%
“…Subsequently, the highest magnitude of the potential methane yield (Go), the maximum methane production rate (R max ), and a short lag-phase (λ) were considered to be the most critical factors used to reflect co-digestion performance. These model parameters are also essential toward improving the process economics via reducing digester volume and therefore influencing plant capital investment [9,26].…”
Section: Modeling Kinetics Of Bmp Assaymentioning
confidence: 99%