| Literature DB >> 34315880 |
Liang Chen1,2, Wenxing Wang1, Jia Tian3, Fanxing Bu1, Tiancong Zhao1, Minchao Liu1, Runfeng Lin1, Fan Zhang1, Myongsoo Lee1, Dongyuan Zhao1, Xiaomin Li4.
Abstract
The potential applications of covalent organic frameworks (COFs) can be further developed by encapsulating functional nanoparticles within the frameworks. However, the synthesis of monodispersed core@shell structuredEntities:
Year: 2021 PMID: 34315880 PMCID: PMC8316466 DOI: 10.1038/s41467-021-24838-7
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Fig. 1Synthesis and characterization of core-shell SiO2@COF.
a Schematic illustration of the preparation of monodisperse COF-coated SiO2 nanoparticles. b, c TEM images of the obtained SiO2@COF nanocomposites. d HRTEM image of the COF shell from the area of red square in (c). e The corresponding selected area electron diffraction image taken from the COF shell. f SEM image of SiO2@COF nanocomposites. Inset is the colloid dispersion of as-prepared SiO2@COF after 1 month storage. g Nitrogen-sorption isotherms and (h) XRD patterns of the bare SiO2 and SiO2@COF nanocomposites. Scale bars are 200 nm in (b), 50 nm in (c), 5 nm in (d), and 1 μm in (f). A representative image of three replicates from each group is shown.
Fig. 2General applicability of the dual-ligand assistant strategy for synthesizing functional COF nanocomposites.
TEM images of COF-coated (a) mesoporous SiO2 (mSiO2), (b) Upconverting nanoparticles@SiO2 (UCNPs@SiO2), and (c) Fe2O3 ellipsoids. d TEM image of COF nanobowls obtained from SiO2@COF after etching SiO2 core. Inset is the SEM image of the obtained bowl-shaped COF. e TEM image of yolk-shell UCNP@COF obtained from UCNP@SiO2@COF after etching the SiO2 interlayer. f TEM image of core@satallite@shell structured Zr-MOF@DCNPs@COF. Scale bars are all 200 nm. g Hysteresis loops of the Fe3O4 and Fe3O4@COF nanocomposites. Inset represents the photos of Fe3O4@COF aqueous dispersion before and after separated by external magnetic field. h UV–vis spectra of CuS nanoplates and CuS@COF aqueous dispersions. Inset indicates the thermal images of CuS@COF dispersion after irradiated by 808 nm NIR laser (0.5 W/cm2) for different time. i Downconversion luminescent spectra of Zr-MOF@DCNPs and Zr-MOF@DCNPs@COF dispersions. Inset represents the NIR II emission intensity of Zr-MOF@DCNPs@COF dispersions with different concentrations upon excited by 808 nm NIR laser and the corresponding NIR II images (concentration increases from left to right). A representative image of three replicates from each group is shown.
Fig. 3Dual-ligand assistant strategy for growing LZU-1 and porphyrin-based COF-coated SiO2.
Structural unit and (inset) space filling model of (a) LZU-1 and (b) porphyrin-based COF. TEM images of the core@shell structured (c) SiO2@LZU-1, and (d) SiO2@porphyrin-COF nanocomposites. Scare bars are 100 nm in (c) and 200 nm in (d). A representative image of three replicates from each group is shown.
Fig. 4Synthesis of UC-COF for combined photodynamic and chemotherapeutic drug delivery.
a Schematic illustration of NIR laser-activated PDT by the porphyrin COF-coated UCNPs@SiO2 (UC-COF). b TEM image of prepared UC-COF. c Confocal laser scanning microscope (CLSM) images of 4T1 cells and corresponding 3D surface plot images determined by the intensity of the green fluorescence after different treatments. A representative image of three replicates from each group is shown. d Cell viability of 4T1 cells and (e) the corresponding live-dead staining images by Calcein-AM and PI after different treatments, data in d are presented as mean ± s.d. derived from n = 3 independent biological samples. The statistical analysis was performed using one-way analysis of variance (ANOVA), followed by post hoc Tukey’s method. Asterisks indicate a significant difference (*p < 0.05 and **p < 0.01). Source data underlying (d) are provided as a Source Data file.
Fig. 5In vivo antitumor efficiency of UC-COF on 4T1-tumor-bearing mice.
a Schematic illustration of the building of subcutaneous tumor model and NIR light-triggered combinational therapy. b Tumor volume change of experimented mice under different treatments. c Photographs (i: Control, ii: NIR laser, iii: UC-COF-Pt, iv: UC-COF + laser, and v: UC-COF-Pt + laser), (d) weight, and (e) immunohistochemical analysis of extracted tumors from different groups after treatments. Scale bars in (e) are 200 μm. Data in (b) and (d) are presented as mean ± s.d. derived from n = 5 independent biological mice. Source data underlying (b) and (d) are provided as a Source Data file.
Fig. 6The mechanism of the dual-ligand assistant strategy.
a The schematic illustration of the oligomers concentration in the solution for the formation of the COF shell varied with the reaction time in the presence of the nanoparticles with different ligands (PVP, PEI and PVP, and PEI) based on LaMer model. C1, C2, and C3 are the critical heterogeneous nucleation concentrations of polyimine oligomers on PEI-modified SiO2 nanoparticles, PEI and PVP co-modified SiO2 nanoparticles, and PVP modified SiO2 nanoparticles, respectively. C4 and C5 represent the critical homogeneous and heterogeneous nucleation concentrations of polyimine oligomers on bare SiO2 nanoparticles. b The schematic illustration of the interaction between the dual ligands and monomers. c The relationship between PVP concentration and shell thickness of the core@shell SiO2@COF nanoparticles by dual ligands assistant strategy. Scale bars are 50 nm. Data in (c) are presented as mean ± s.d. derived from n = 10 independent particles. Source data underlying (c) are provided as a Source Data file.