Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891824514> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2891824514 endingPage "907" @default.
- W2891824514 startingPage "900" @default.
- W2891824514 abstract "Abstract Solvent extraction at micro-scale has known increased interest in recent years. Consequently, numerous theoretical and experimental studies focused on diagnosis, detection and recovery of either biological substrates or base metals, isotopes and rare earths have been reported so far in the last few years. Within this context, the present work reports a thorough analysis of the coupling between the hydrodynamics, mass transfer and chemical reaction kinetics in multiphase micro-systems; the predictive mathematical model describes under non-steady state, fluid-wall interaction and interaction between the fluids in contact to finally predict the solute mass transport rate between the flowing liquid phases when a fully developed profile and a flat interface are not initially assumed unlike previously reported works. This approach allows tracking the interface along the complete micro device geometry and makes the model adaptive to the specific needs of each micro fluidic application. The analysis has been developed for a model system based on the mass transfer of Cr (VI) from an aqueous feed phase in a stratified 2-layer flow system in a Y-Y shape micro device. Two different scenarios have been considered: (a) two homogeneous phases, where water is the receptor phase (b) an heterogeneous system where the solute moves from the feed solution to a receptor phase composed of Shellsol D-70 and Alamine 336 as the selective extractant. Model simulations accounting for the system reaction parameters already reported have been assessed against a set of experimental runs; the two systems under consideration provided data that satisfactorily fitted simulations with an error less than 10%, thus, validating model calculations. Thus, this rigorous and flexible model seeks to provide a useful tool for the design of micro separation processes by predicting the technical performance for numerous applications at micro scale." @default.
- W2891824514 created "2018-09-27" @default.
- W2891824514 creator A5022447620 @default.
- W2891824514 creator A5029206305 @default.
- W2891824514 creator A5041741622 @default.
- W2891824514 creator A5043377364 @default.
- W2891824514 creator A5053373407 @default.
- W2891824514 date "2019-01-01" @default.
- W2891824514 modified "2023-10-12" @default.
- W2891824514 title "Predictive model for the design of reactive micro-separations" @default.
- W2891824514 cites W1976320507 @default.
- W2891824514 cites W1978106567 @default.
- W2891824514 cites W1978826998 @default.
- W2891824514 cites W1992646660 @default.
- W2891824514 cites W1995340747 @default.
- W2891824514 cites W1997251739 @default.
- W2891824514 cites W1997981586 @default.
- W2891824514 cites W2000263196 @default.
- W2891824514 cites W2004574373 @default.
- W2891824514 cites W2011359763 @default.
- W2891824514 cites W2022069856 @default.
- W2891824514 cites W2035159723 @default.
- W2891824514 cites W2052305554 @default.
- W2891824514 cites W2057180370 @default.
- W2891824514 cites W2059036360 @default.
- W2891824514 cites W2060345460 @default.
- W2891824514 cites W2060354762 @default.
- W2891824514 cites W2063333303 @default.
- W2891824514 cites W2063974761 @default.
- W2891824514 cites W2068770175 @default.
- W2891824514 cites W2073425686 @default.
- W2891824514 cites W2080922987 @default.
- W2891824514 cites W2086187432 @default.
- W2891824514 cites W2090189909 @default.
- W2891824514 cites W2102860514 @default.
- W2891824514 cites W2132769952 @default.
- W2891824514 cites W2167823794 @default.
- W2891824514 cites W2340057958 @default.
- W2891824514 cites W2495527419 @default.
- W2891824514 cites W2561950002 @default.
- W2891824514 cites W2618850489 @default.
- W2891824514 cites W2792832453 @default.
- W2891824514 doi "https://doi.org/10.1016/j.seppur.2018.09.028" @default.
- W2891824514 hasPublicationYear "2019" @default.
- W2891824514 type Work @default.
- W2891824514 sameAs 2891824514 @default.
- W2891824514 citedByCount "12" @default.
- W2891824514 countsByYear W28918245142019 @default.
- W2891824514 countsByYear W28918245142020 @default.
- W2891824514 countsByYear W28918245142021 @default.
- W2891824514 countsByYear W28918245142022 @default.
- W2891824514 crossrefType "journal-article" @default.
- W2891824514 hasAuthorship W2891824514A5022447620 @default.
- W2891824514 hasAuthorship W2891824514A5029206305 @default.
- W2891824514 hasAuthorship W2891824514A5041741622 @default.
- W2891824514 hasAuthorship W2891824514A5043377364 @default.
- W2891824514 hasAuthorship W2891824514A5053373407 @default.
- W2891824514 hasConcept C127413603 @default.
- W2891824514 hasConcept C185592680 @default.
- W2891824514 hasConcept C21880701 @default.
- W2891824514 hasConceptScore W2891824514C127413603 @default.
- W2891824514 hasConceptScore W2891824514C185592680 @default.
- W2891824514 hasConceptScore W2891824514C21880701 @default.
- W2891824514 hasLocation W28918245141 @default.
- W2891824514 hasOpenAccess W2891824514 @default.
- W2891824514 hasPrimaryLocation W28918245141 @default.
- W2891824514 hasRelatedWork W1531601525 @default.
- W2891824514 hasRelatedWork W1990781990 @default.
- W2891824514 hasRelatedWork W2314643286 @default.
- W2891824514 hasRelatedWork W2353789098 @default.
- W2891824514 hasRelatedWork W2606768298 @default.
- W2891824514 hasRelatedWork W2606769243 @default.
- W2891824514 hasRelatedWork W2748952813 @default.
- W2891824514 hasRelatedWork W2899084033 @default.
- W2891824514 hasRelatedWork W2948807893 @default.
- W2891824514 hasRelatedWork W2778153218 @default.
- W2891824514 hasVolume "209" @default.
- W2891824514 isParatext "false" @default.
- W2891824514 isRetracted "false" @default.
- W2891824514 magId "2891824514" @default.
- W2891824514 workType "article" @default.