Matches in SemOpenAlex for { <https://semopenalex.org/work/W4322761737> ?p ?o ?g. }
- W4322761737 endingPage "131134" @default.
- W4322761737 startingPage "131134" @default.
- W4322761737 abstract "Membrane-based imprinted sites for achieving specific molecule transport and precise recognition have great potential to revolutionize nanofiltration technology. Nonetheless, how to efficiently prepare imprinted membrane structures with accurate identification - ultrafast molecular transport - high stability in mobile phase remains a key issue and serious challenge. Herein, we have developed a dual-activation strategy to constructing nanofluid-functionalized membranes with double imprinted nanoscale channels (NMDINCs), realizing ultrafast transport performance as well as structure&size-exclusion selectivity in allusion to particular compounds. The resultant NMDINCs, founded on principal nanofluid-functionalized construction companied by the boronate affinity sol-gel imprinting systems, illustrated that delicate regulation towards polymerization framework as well as functionalization belonging to distinctive membrane structures was crucial for realizing ultrafast molecules transport combined with prominent molecules selectivity. The synergistic recognition of covalent bonds and non-covalent bonds driven by two functional monomers effectively realized the selective recognition to template molecules, leading to the high selective separation factors of Shikimic acid (SA)/ Para hydroxybenzoic acid(PHA), SA/ P nitrophenol(PN)and catechol(CL)for 8.9, 8.14 and 7.23, respectively. The dynamic consecutive transport outcomes exhibited that numerous SA-dependent recognition sites could still keep reactivity under pump-driven permeation pressure for appreciable time, forcefully proving the successful construction as to high-efficiency membrane-based selective separation system. It is anticipated that this strategy as to the in situ introduction of nanofluid-functionalized construction into porous membrane would hold great promise in preparing high-intensities membrane-founded discriminating separation systems, which was equipped with prominent consecutive permeability as well as excellent selectivity." @default.
- W4322761737 created "2023-03-03" @default.
- W4322761737 creator A5031330989 @default.
- W4322761737 creator A5037787746 @default.
- W4322761737 creator A5044367029 @default.
- W4322761737 creator A5052508908 @default.
- W4322761737 creator A5057637384 @default.
- W4322761737 date "2023-06-01" @default.
- W4322761737 modified "2023-10-14" @default.
- W4322761737 title "Precise identification and ultrafast transport of specific molecules with nanofluid-functionalized imprinted membrane" @default.
- W4322761737 cites W1043699832 @default.
- W4322761737 cites W1946145193 @default.
- W4322761737 cites W1979599602 @default.
- W4322761737 cites W1993194975 @default.
- W4322761737 cites W2001109587 @default.
- W4322761737 cites W2004018813 @default.
- W4322761737 cites W2007192795 @default.
- W4322761737 cites W2019773930 @default.
- W4322761737 cites W2035445174 @default.
- W4322761737 cites W2037976290 @default.
- W4322761737 cites W2094123239 @default.
- W4322761737 cites W2100174417 @default.
- W4322761737 cites W2154893790 @default.
- W4322761737 cites W2496947650 @default.
- W4322761737 cites W2509577407 @default.
- W4322761737 cites W2514935741 @default.
- W4322761737 cites W2604368673 @default.
- W4322761737 cites W2616322707 @default.
- W4322761737 cites W2745252600 @default.
- W4322761737 cites W2793322961 @default.
- W4322761737 cites W2897997040 @default.
- W4322761737 cites W2900609106 @default.
- W4322761737 cites W2947578472 @default.
- W4322761737 cites W3004725258 @default.
- W4322761737 cites W3011895358 @default.
- W4322761737 cites W3028906486 @default.
- W4322761737 cites W3112731872 @default.
- W4322761737 cites W3152352215 @default.
- W4322761737 cites W3156288119 @default.
- W4322761737 cites W3156972204 @default.
- W4322761737 cites W3166348259 @default.
- W4322761737 cites W3179905592 @default.
- W4322761737 cites W3191812423 @default.
- W4322761737 cites W3207851494 @default.
- W4322761737 cites W4200260084 @default.
- W4322761737 cites W4200575526 @default.
- W4322761737 cites W4210837735 @default.
- W4322761737 cites W4213173854 @default.
- W4322761737 cites W4281711171 @default.
- W4322761737 cites W4283155707 @default.
- W4322761737 cites W4283165282 @default.
- W4322761737 cites W4283171950 @default.
- W4322761737 cites W4283321024 @default.
- W4322761737 cites W4283691126 @default.
- W4322761737 cites W4283785123 @default.
- W4322761737 cites W4283787130 @default.
- W4322761737 cites W4285384028 @default.
- W4322761737 cites W4285793431 @default.
- W4322761737 cites W4292014153 @default.
- W4322761737 cites W4292608725 @default.
- W4322761737 cites W4292641216 @default.
- W4322761737 cites W4293577204 @default.
- W4322761737 cites W4297874932 @default.
- W4322761737 cites W4308058540 @default.
- W4322761737 doi "https://doi.org/10.1016/j.jhazmat.2023.131134" @default.
- W4322761737 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36871464" @default.
- W4322761737 hasPublicationYear "2023" @default.
- W4322761737 type Work @default.
- W4322761737 citedByCount "4" @default.
- W4322761737 countsByYear W43227617372023 @default.
- W4322761737 crossrefType "journal-article" @default.
- W4322761737 hasAuthorship W4322761737A5031330989 @default.
- W4322761737 hasAuthorship W4322761737A5037787746 @default.
- W4322761737 hasAuthorship W4322761737A5044367029 @default.
- W4322761737 hasAuthorship W4322761737A5052508908 @default.
- W4322761737 hasAuthorship W4322761737A5057637384 @default.
- W4322761737 hasConcept C115537861 @default.
- W4322761737 hasConcept C118792377 @default.
- W4322761737 hasConcept C127413603 @default.
- W4322761737 hasConcept C147789679 @default.
- W4322761737 hasConcept C161790260 @default.
- W4322761737 hasConcept C162602672 @default.
- W4322761737 hasConcept C171250308 @default.
- W4322761737 hasConcept C178790620 @default.
- W4322761737 hasConcept C179303850 @default.
- W4322761737 hasConcept C180577832 @default.
- W4322761737 hasConcept C185592680 @default.
- W4322761737 hasConcept C192562407 @default.
- W4322761737 hasConcept C21951064 @default.
- W4322761737 hasConcept C32909587 @default.
- W4322761737 hasConcept C41625074 @default.
- W4322761737 hasConcept C42360764 @default.
- W4322761737 hasConcept C50670333 @default.
- W4322761737 hasConcept C55493867 @default.
- W4322761737 hasConceptScore W4322761737C115537861 @default.
- W4322761737 hasConceptScore W4322761737C118792377 @default.
- W4322761737 hasConceptScore W4322761737C127413603 @default.
- W4322761737 hasConceptScore W4322761737C147789679 @default.