Matches in SemOpenAlex for { <https://semopenalex.org/work/W3043803332> ?p ?o ?g. }
- W3043803332 endingPage "105104" @default.
- W3043803332 startingPage "105104" @default.
- W3043803332 abstract "The ability to create well-ordered graphitic carbon nitride (g-C3N4) assemblies with good surface adsorption for CO2 represents an important endeavor towards achieving high photocatalytic CO2 reduction activity that yet remains a significant challenge. Herein, a simple yet robust double-solvent-induced self-assembly strategy is, for the first time, developed to yield supramolecular precursors using a single monomer for crafting one-dimensional (1D), highly porous g-C3N4 microtubes that possess remarkable photocatalytic CO2 conversion performance. Intriguingly, the introduction of water and isopropanol triggers the self-assembly of dicyandiamide under hydrothermal conditions to form a melamine-cyanaurate-like complex (MCC) composed of 1D hexagon-shaped, micron-sized crystals with outstanding thermal stability. Subsequent thermal pyrolysis converts these pillar-like crystals into 1D mesoporous g-C3N4 microtubes (denoted MCNM) comprising well-packed nano-leaf-like frameworks (i.e., hierarchical structure). Such unique microtubes are oxygen-doped g-C3N4 and mechanically stable, exhibiting improved visible-light harvesting ability, enhanced charge transfer, increased active sites, and preferred adsorption and activation for CO2, as revealed by a suite of characterization techniques. Consequently, in sharp contrast to bulk g-C3N4, the MCNM manifests a markedly improved photocatalytic activity with a CO evolution rate of 45.16 μmolh−1, reflecting an 11.0-fold enhancement and an apparent quantum efficiency of 2.55% at 420 nm. As such, the double-solvent-induced self-assembly may stand out an effective route to organized supramolecular precursors for preparing hierarchically structured g-C3N4 for efficient photocatalysis." @default.
- W3043803332 created "2020-07-23" @default.
- W3043803332 creator A5002742613 @default.
- W3043803332 creator A5009534643 @default.
- W3043803332 creator A5015015240 @default.
- W3043803332 creator A5055761370 @default.
- W3043803332 creator A5084290966 @default.
- W3043803332 creator A5088133681 @default.
- W3043803332 creator A5091034645 @default.
- W3043803332 date "2020-11-01" @default.
- W3043803332 modified "2023-10-14" @default.
- W3043803332 title "Robust route to highly porous graphitic carbon nitride microtubes with preferred adsorption ability via rational design of one-dimension supramolecular precursors for efficient photocatalytic CO2 conversion" @default.
- W3043803332 cites W1845271011 @default.
- W3043803332 cites W1885794747 @default.
- W3043803332 cites W1899600941 @default.
- W3043803332 cites W1966355535 @default.
- W3043803332 cites W1968158051 @default.
- W3043803332 cites W1980936423 @default.
- W3043803332 cites W1997380582 @default.
- W3043803332 cites W1998747508 @default.
- W3043803332 cites W1999797050 @default.
- W3043803332 cites W2000823853 @default.
- W3043803332 cites W2019851851 @default.
- W3043803332 cites W2027761479 @default.
- W3043803332 cites W2030170783 @default.
- W3043803332 cites W2073132299 @default.
- W3043803332 cites W2083281885 @default.
- W3043803332 cites W2099703620 @default.
- W3043803332 cites W2102563308 @default.
- W3043803332 cites W2105629151 @default.
- W3043803332 cites W2150399639 @default.
- W3043803332 cites W2153107949 @default.
- W3043803332 cites W2161736606 @default.
- W3043803332 cites W2218002557 @default.
- W3043803332 cites W2328853921 @default.
- W3043803332 cites W2372330921 @default.
- W3043803332 cites W2385852729 @default.
- W3043803332 cites W2401906193 @default.
- W3043803332 cites W2466765068 @default.
- W3043803332 cites W2529916912 @default.
- W3043803332 cites W2548593830 @default.
- W3043803332 cites W2560460940 @default.
- W3043803332 cites W2571928238 @default.
- W3043803332 cites W2581557749 @default.
- W3043803332 cites W2585592272 @default.
- W3043803332 cites W2605295360 @default.
- W3043803332 cites W2612045712 @default.
- W3043803332 cites W2617038631 @default.
- W3043803332 cites W2747174144 @default.
- W3043803332 cites W2751348861 @default.
- W3043803332 cites W2766491903 @default.
- W3043803332 cites W2770811885 @default.
- W3043803332 cites W2782745861 @default.
- W3043803332 cites W2800418248 @default.
- W3043803332 cites W2801952800 @default.
- W3043803332 cites W2804235153 @default.
- W3043803332 cites W2806165521 @default.
- W3043803332 cites W2806176638 @default.
- W3043803332 cites W2886896645 @default.
- W3043803332 cites W2887649527 @default.
- W3043803332 cites W2888347976 @default.
- W3043803332 cites W2898415091 @default.
- W3043803332 cites W2908416385 @default.
- W3043803332 cites W2911309276 @default.
- W3043803332 cites W2912830218 @default.
- W3043803332 cites W2913146326 @default.
- W3043803332 cites W2913379862 @default.
- W3043803332 cites W2917952344 @default.
- W3043803332 cites W2940068205 @default.
- W3043803332 cites W2944607259 @default.
- W3043803332 cites W2946789396 @default.
- W3043803332 cites W2951159821 @default.
- W3043803332 cites W2954721102 @default.
- W3043803332 cites W2955062720 @default.
- W3043803332 cites W2961464596 @default.
- W3043803332 cites W2964539443 @default.
- W3043803332 cites W2965193464 @default.
- W3043803332 cites W2966222655 @default.
- W3043803332 cites W2968693108 @default.
- W3043803332 cites W2969368245 @default.
- W3043803332 cites W2970934007 @default.
- W3043803332 cites W2973141153 @default.
- W3043803332 cites W2992542521 @default.
- W3043803332 cites W2996423441 @default.
- W3043803332 cites W3026564685 @default.
- W3043803332 cites W4233406686 @default.
- W3043803332 cites W4241971017 @default.
- W3043803332 cites W4243298835 @default.
- W3043803332 cites W4245292554 @default.
- W3043803332 cites W4253676386 @default.
- W3043803332 cites W4376848533 @default.
- W3043803332 doi "https://doi.org/10.1016/j.nanoen.2020.105104" @default.
- W3043803332 hasPublicationYear "2020" @default.
- W3043803332 type Work @default.
- W3043803332 sameAs 3043803332 @default.
- W3043803332 citedByCount "62" @default.
- W3043803332 countsByYear W30438033322020 @default.
- W3043803332 countsByYear W30438033322021 @default.