Strategies for utilizing covalent organic frameworks as host materials for the integration and delivery of bioactives

Lulu He abc, Le Wang ac, Zhen He a, Cheng Heng Pang *b, Bencan Tang *b, Aiguo Wu *ac and Juan Li *ac
aNingbo Key Laboratory of Biomedical Imaging Probe Materials and Technology, Zhejiang International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Sciences (CAS) Key Laboratory of Magnetic Materials and Devices, Ningbo Cixi Institute of Biomedical Engineering, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China. E-mail: aiguo@nimte.ac.cn; lij@nimte.ac.cn
bDepartment of Chemical and Environment Engineering, The University of Nottingham Ningbo China, Ningbo, 315100, China. E-mail: Chengheng.Pang@nottingham.edu.cn; Bencan.Tang@nottingham.edu.cn
cAdvanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516000, China

Received 17th September 2023 , Accepted 1st December 2023

First published on 19th December 2023


Abstract

Covalent organic frameworks (COFs), a new and developing class of porous framework materials, are considered a type of promising carrier for the integration and delivery of bioactives, which have diverse fascinating merits, such as a large specific surface area, designable and specific porosity, stable and orderly framework structure, and various active sites. However, owing to the significant differences among bioactives (including drugs, proteins, nucleic acid, and exosomes), such as size, structure, and physicochemical properties, the interaction between COFs and bioactives also varies. In this review, we firstly summarize three strategies for the construction of single or hybrid COF-based matrices for the delivery of cargos, including encapsulation, covalent binding, and coordination bonding. Besides, their smart response release behaviors are also categorized. Subsequently, the applications of cargo@COF biocomposites in biomedicine are comprehensively summarized, including tumor therapy, central nervous system (CNS) modulation, biomarker analysis, bioimaging, and anti-bacterial therapy. Finally, the challenges and opportunities in this field are briefly discussed.


image file: d3mh01492d-p1.tif

Lulu He

Lulu He is currently a PhD student jointly trained at the University of Nottingham Ningbo China (UNNC) and the Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences (CNITECH). She received her Master's degree in Analytical Chemistry from the Zhejiang University of Technology in 2020. Currently, she is working on the design and preparation of nanoscale COFs for various biomedical applications.

image file: d3mh01492d-p2.tif

Le Wang

Le Wang is currently a Master's student jointly trained at the Wenzhou Medical University (WMU) and CNITECH. She received her BS degree in Pharmaceutical Engineering from Southwest Jiaotong University in 2020. Her research interests include the synthesis of COF-based nanomaterials and their biomedical applications.

image file: d3mh01492d-p3.tif

Cheng Heng Pang

Dr Cheng Heng Pang received his BS degree in Engineering from University of Nottingham, Semenyih, Selangor, Malaysia in 2008 and his PhD from University of Nottingham, Nottingham, Nottinghamshire, GB in 2012. Dr Pang is now a professor of Chemical Engineering and Advanced Materials, the director of Teaching and Learning, Deputy Head of Department (CEE), and the head of Research Group (AEEMT) of UNNC. Dr Pang's research interest, experience, and expertise are primarily focused on renewable energy and manufacturing of advanced materials for biomedical applications, particularly in anti-cancer therapy.

image file: d3mh01492d-p4.tif

Bencan Tang

Bencan Tang received her BS and a MS degrees from Lanzhou University, and obtained a PhD degree from the University of Nottingham, UK, working on the biomimetic syntheses of complex polycyclic diterpenes found in corals. After postdoctoral work with Prof. David Harrowven at the University of Southampton, she joined Professor Paton's group at the University of Oxford to focus on computational studies of biomimetic syntheses of natural products. In 2014, Bencan became an Assistant Professor and in 2019, an Associate Professor at the University of Nottingham Ningbo China, where she explores the biomimetic syntheses of marine natural products, both computationally and experimentally. Her other research interests include artificial intelligence assisted drug discovery and organic photovoltaics.

image file: d3mh01492d-p5.tif

Aiguo Wu

Dr Aiguo Wu received his BS degree from Nanchang University in 1998 and his PhD from Changchun Institute of Applied Chemistry, Chinese Academy of Sciences in 2003. After his postdoctoral studies at the University of Marburg, Marburg, Germany (2004 to 2005) and the California Institute of Technology, Pasadena, CA, USA (2005 to 2006), he moved to Northwestern University, Chicago, IL, USA as a Research Associate from 2006 to 2009. He is a professor at the CNITECH since 2009. Dr Wu's research area is primarily focused on the application of nanomaterials in biomedical, bioanalytical chemistry, and environmental sciences.

image file: d3mh01492d-p6.tif

Juan Li

Dr Juan Li received her BS and MS degrees from Shenyang Pharmaceutical University in 2004 and 2007, respectively. She received her PhD from the Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics and the University of Tubingen, Germany in 2012. After that, she worked as a postdoctoral researcher in CNITECH from 2012 to 2014. Dr Li is now a professor at the CNITECH since 2020. Her research includes the design and application of neuropeptide-based nanomaterials for the imaging and therapy of tumors as well as central nervous system diseases.



Wider impact

Covalent organic frameworks (COFs) have received increasing attention owing to their potential applications in tumor therapy, central nervous system (CNS) modulation, biomarker analysis, bioimaging, and anti-bacterial therapy. More importantly, COFs with a high porosity, abundant active sites, and stimulus-responsive structures, usually function as host materials for the integration and delivery of bioactives in the above-mentioned practical applications. In this review, we summarize and discuss three types of synthetic strategies for the preparation of COF-based host–guest systems towards diverse bioactives, including small molecules, proteins, nucleic acids and exosomes. In addition, the recent advances in various types of COFs towards diverse biomedical applications are discussed in detail. This review also provides a complete overview of the current developments in COF-based nanosystems from the viewpoint of host–guest connection approach design and synthetic strategies, and their applicability in biomedical applications. We believe that the integration approaches of COFs and bioactives elucidated in this review will provide a significant basis for exploring next-generation COF-based integrated nanosystems.

1. Introduction

Covalent organic frameworks (COFs) are a class of porous crystalline organic polymers formed by covalent bonding with light elements (C, H, O, N, and B), which can be precisely regulated in terms of structure type through reversible condensation reactions to construct preferred topologies based on the connectivity and shape of the monomer building blocks.1–4 With the progression of host–guest chemistry, several functional COFs have been synthesized to entrap specific bioactives (guests) in their skeletons (hosts), producing structurally stable host–guest ensembles (termed cargo@COF). Thus far, host–guest systems for bioactives based on COFs have been much less explored compared to those based on traditional carriers (mesoporous silica, liposomes, chitosan, and others) or relatively novel vehicles (MOF, erythrocytes, exosomes, and others).5–7

Here, bioactives not only refer to small molecules, such as therapeutic drugs, but also biomacromolecules, including proteins and nucleic acids, and even more complex vesicles, such as exosomes. Bioactives alone often fail to achieve a satisfactory therapeutic result owing to their inherent drawbacks. For example, conventional chemotherapeutic drugs are always limited by poor targeting ability and serious side effects.8 Furthermore, maintaining the activity of proteins and prolonging the half-life of nucleic acids in vivo are also some of the challenging issues.9 However, owing to the unique properties of COFs, they can overcome these difficulties, and thus have attracted extensive attention for the integration and delivery of bioactives.

The main advantages of COFs as carriers for the integration of bioactives are as follows: (1) diverse COF-based functional materials with different sizes, topologies, morphologies, and physical/chemical properties that can be designed and fabricated using available organic linkers and linkages, which can be summarized in one word: designability. (2) COFs with a high crystallinity tend to provide an extremely high specific surface area (over 1000 m2 g−1), uniform pore shape, ultrahigh porosity, and adjustable and wide pore size distribution (from micropore to mesopore), making them an excellent host matrix for encapsulating bioactives. (3) COFs possess a good biocompatibility and low cytotoxicity, which is attributed to their organic and metal-free nature. (4) Through the post-synthetic modification (PSM) strategy, bonding defect functionalization (BDF) strategy, or other surface decoration approach, target molecules can be covalently attached to the COF backbone by reacting with the active sites of its linkers, while retaining the original framework. (5) Smart stimuli-responsive COFs have been successfully designed for controlled and sustained drug release due to the physical and chemical difference in the microenvironment between healthy and diseased tissues.

This review focuses on the integration strategies for cargo@COF complexes and their diverse biomedical applications (Scheme 1). Thus far, several excellent reviews have discussed COFs and their wide applications, such as catalysis,10–12 gas storage and separation,13,14 vapor sorption,15 electronic and ionic conduction.16–18 However, only a few further presented the diverse bio-applications of COFs.19–21 Also, another limitation of existing reviews on COF-based carrier systems in the biomedical field is that almost all focused on cancer therapy, while ignoring other applications.22 Thus, in this review, we highlight the importance of COFs as host materials for the delivery of bioactives and their applications, not only in cancer therapy but also in other biomedical fields. Notably, the use of COFs as hosts for the integration and delivery of bioactives is still in its infancy, making it important to summarize and introduce this COF-based specific area, expanding the applications of COFs.


image file: d3mh01492d-s1.tif
Scheme 1 Categorization of COFs as host materials for the integration and delivery of bioactives and their biomedical applications.

2. Synthetic strategies for COF-based host–guest systems

To date, several reviews have summarized the processes for the synthesis of COFs including solvothermal,23–25 ionothermal,26,27 microwave-assisted,28 sonochemical,29,30 room-temperature,31–33 mechanochemical,34,35 electrochemical,36 and light-promoted methods.37 Alternatively, in this section, we focus on the synthetic strategies for the whole host–guest platform, denoted as cargo@COF, and present a brief review and summary. The currently reported synthetic strategies for the construction of cargo@COF complexes can be divided into three different paths, including (A) encapsulation, (B) covalent binding and (C) coordination bonding, as shown in Fig. 1, which will be discussed in detail in this section. Besides, Table 1 summarizes the diversity of cargo@COF delivery systems for various biomedical applications.
image file: d3mh01492d-f1.tif
Fig. 1 The synthetic strategies for the construction of cargo@COF. (A1) Two-step encapsulation procedure. (A2) One-pot encapsulation method. (A3) Hollow encapsulation process. (B1) Post-synthetic modification (PSM). (B2) Bonding defect functionalization (BDF). (C) Coordination bonding strategy. The blue and red graphics represent monomers, the yellow balls represent cargos (including small molecules, biomacromolecules and exosomes), the green straight lines stand for covalent bonds, and the green curves stand for coordination bonds.
Table 1 Summary of cargo@COF integration and delivery systems for biomedical applications
Year Carrier Cargo Composite strategy Loading percentage Applications Ref.
2015 PI-COF-4 IBU/captopril/caffeine Two-step encapsulation ∼20 wt% for IBU 55
PI-COF-5
2016 PI-3-COF 5-FU/captopril/IBU Two-step encapsulation 16 wt% Drug delivery in vitro 56
PI-2-COF 30 wt%
2017 PCTF IBU Two-step encapsulation 19 wt% 57
PCTF-Mn 23 wt%
2017 TpAPH 5-FU PSM 12 wt% Targeted drug delivery 48
TpASH
2018 APTES-COF-1 DOX Two-step encapsulation 9.71 ± 0.13 wt% Chemotherapy 58
2019 TPB-DMTP-COF Por BDF 0.091 ± 0.010 μmol mg−1 PDT/PTT 59
VONc Two-step encapsulation 0.256 ± 0.030 μmol mg−1
2019 COF-LZU1 BODIPY-2H BDF 0.1545 ± 0.0220 mmol g−1 PDT 50
BODIPY-2I 0.1360 ± 0.0312 mmol g−1
2019 TAPB-DMTP-COF DOX One-pot encapsulation 32.1 wt% Chemotherapy 42
2019 PI-CTF Sorafenib Two-step encapsulation 83 wt% Anti-cancer in vitro 60
2019 TP-Por-COF CAD/IR783 Two-step encapsulation CT/PTT 61
2020 DT-COF Carboplatin Two-step encapsulation 31.32 wt% 62
2020 TPB-DHTP-COF 5-FU Two-step encapsulation 44 μg mg−1 Chemotherapy 63
COF-HQ PSM 73 μg mg−1
2020 SS-COF DOX Two-step encapsulation 36 wt% Chemotherapy 64
F68@SS-COF 21 wt%
2020 TPA-TA-BD-COF DOX Two-step encapsulation 35 wt% Anti-cancer in vitro 65
2020 HY/SS COF DOX Two-step encapsulation 18 wt% 66
2020 COFTTA-DHTA Pirfenidone Two-step encapsulation 32 ± 4 wt% PDT 67
2021 Tph-Dha-COF Fe Covalent binding 1.6 mg mg−1 Chemotherapy/CDT 52
DOX Two-step encapsulation
2021 TA-COF Ce 6 Two-step 14.3 wt% Chemotherapy/PDT 68
TPZ encapsulation 17.8 wt%
2021 Tph-Dha-COF Gambogic acid Two-step encapsulation 0.004 μg μg−1 PTT 69
2021 Tf-TAPB-COF FcCHO Two-step encapsulation 0.170 ± 0.018 μmol mg−1 CDT 51
0.201 ± 0.032 μmol mg−1
RSL3
2021 TCOF DOX Two-step encapsulation ∼28.57% Chemotherapy 70
2021 RT-COF-1 Lonidamine Two-step encapsulation 0.66 ± 0.05 mmol g−1 Chemotherapy 41
2021 JUC-556 (E/Z) Cytarabine Two-step encapsulation 71
2022 DMTP-TAPB-COF Heteropoly blue One-pot encapsulation PTT 72
2022 JUC-580 Cisplatin Two-step encapsulation 20 wt% Cell fluorescence imaging 73
JUC-581
2022 COF-366 Plumbagin Two-step encapsulation 16.3 wt% Anti-cancer in vitro 74
2022 TAPB-DMTA-COF Curcumin (CUR) One-pot encapsulation 27.68 wt% Wound dressing 43
2022 TRIPTA-COF Cis Two-step encapsulation 31.19% Chemotherapy 39
2022 DF-TAPB-COF 5-FU Two-step encapsulation up to 60 wt% 75
DF-TATB-COF Captopril
2022 TPE-ss COF Matrine Two-step encapsulation 15.61 ± 0.23 wt% Myocardial ischemia/reperfusion injury 76
2022 AQ4N@THPPTK-PEG AQ4N Two-step encapsulation 26.35 wt% CT/PDT 77
2022 TAPP-ANT-COF Cypate Two-step encapsulation 11.2% PDT/PTT 78
2022 PER@PDA-COF-1 Mitoxantrone Two-step encapsulation ∼63% CT 79
2022 DiSe-Por DOX Two-step encapsulation 35.12% CT/PTT/CDT 80
2022 COF-909 Cu Coordinated bonding 10.76% CDT/PDT/Immunotherapy 54
Fe 10.05%
Ni 9.17%
2022 TAPB-DMTP-COF DOX Two-step encapsulation 92 μg mg−1 Tumor therapy 81
Camptothecin 222 μg mg−1
2022 APTES-COF-1 Rapamycin Two-step encapsulation Attenuate retinal ganglion cells death 82
2022 Hollow PDA-TMD-COF Apatinib Two-step/hollow encapsulation ∼40.5 wt% MWTT/CT 83
2022 TUS-84 IBU Two-step encapsulation 11.05 wt% 38
2022 SP-COFs POCl3 Covalent binding Inhibition of amyloid-β (Aβ) fibrillation 84
2023 TUS-64 Captopril/IBU/isoniazid/5-FU/brimonidine Two-step encapsulation 4.09–17.37 wt% 85
2023 DSPP-COF 5-FU Two-step encapsulation ∼0.86 μmol mg−1 Chemotherapy/PDT 86
2023 DMTP-TPB-COF ICG/AQ4N Two-step encapsulation 53.1% for ICG PTT/PDT/chemotherapy 40
2023 Hollow HAPTP-TFPB/TPA/TFPA 2DCOFs IBU Two-step encapsulation 12–20 wt% 45
2023 TAPB-DMTP-COF Rose Bengal (RB) Two-step encapsulation 20.6% SDT 87
2023 TAPB-DVA-COF DOX/RB/CUR/ICG/Ce6 Hollow encapsulation 41.7–67.8% SDT 47
2015 COF-DhaTab Trypsin Two-step encapsulation 15.5 μmol g−1 88
2018 NKCOF-1 Lysozyme/tripeptide/lysine Covalent binding 22 μmol g−1 for lysozyme Chiral separation 89
2018 TPB-DMTP-COF Amano lipase PS Two-step encapsulation 0.95 mg mg−1 90
2020 TPMM COF α-amylase Two-step encapsulation 550 mg g−1 Biocatalyst 91
2020 Tph-Dha-COF Survivin antisense strand Two-step encapsulation 0.572 nmol mg−1 Tumor imaging/PDT/prognostic evaluation 92
2020 TAPB-BTCA-COF Ovalbumin Two-step encapsulation PTT/immunotherapy 93
2020 COF-1 GOx/iunsulin Two-step encapsulation ∼45% Anti-type 1 diabetes mellitus 94
COF-5
2021 TTA-DFP-nCOF Insulin Two-step encapsulation ∼65 wt% Anti-type 1 diabetes mellitus 95
2021 DHA-TAPP-COF GOx Two-step encapsulation 46.1 μg mg−1 PDT/starvation therapy 96
CAT 392.58 μg mg−1
2021 TPB-DMTP-COF Survivin mRNA Two-step encapsulation 0.106 nmol mg−1 Biomarkers fluorescence imaging 97
MUC1 aptamers 0.120 nmol mg−1
2021 Tph-Dha-COF DNA Covalent binding 0.695 nmol mg−1 Cancer cell imaging 98
2021 CTF-PEG-PEI pDNA Two-step encapsulation Gene transfection 99
2022 COF-LZU1 Trypsin/HRP/GOx/BSA One-pot encapsulation 5.0 mg g−1 for trypsin 44
2022 [OH]x%-TD-COFs Cytochrome c (Cyt c) Covalent binding 100
2022 BPTA-TPB-COF Peptide/HRP Covalent binding Protein detection 101
2022 ETTA-TPAL-COF Glucose oxidase GOD Two-step encapsulation 30 μg mg−1 Glucose detection 102
2022 Alkynyl-COF DNA Covalent binding 16 μg mg−1 Exosomes detection 103
2023 Alkynyl-COF DNA/HRP Covalent binding Exosomes analysis 104
2023 TAPB-DMTA-COF Peptide T5/SOD/CAT Covalent binding 16.29 wt% Modulates oxidative stress in Alzheimer's disease 105
Two-step encapsulation
2023 Tp-Bd-COF Cyt c/GOx/HRP Hollow encapsulation 57–127 mg g−1 Glucose detection 106
2023 TAPB-DMTA COF GOx/Cyt c Two-step encapsulation Biocatalyst 107
2022 TPB-DHTA-COF Exosome Two-step encapsulation Diabetic fester wound healing 108


2.1 Encapsulation routes for COF-based system

The encapsulation method is a frequently used strategy to prepare host–guest systems. Specifically, the guest molecules are gradually allowed to enter the host materials until achieving adsorption and diffusion equilibrium with the help of electrostatic attraction, hydrogen bonding, van der Waals interactions, π interactions, and hydrophobic/hydrophilic effect. In recent years, numerous COFs have been successively used to accommodate cargos based on the encapsulation strategy.
2.1.1 The two-step encapsulation procedure. The two-step encapsulation procedure is commonly used for the preparation of cargo@COF systems by immersing the prepared COF carriers in cargo-containing solutions with continuous stirring. In step I, it is critical to construct COF-based carriers with outstanding characteristics that satisfy the delivery conditions, such as large surface area, tunable pore size, and ordered channels. In step II, the cargos are inserted in the pre-synthesized COFs with good stability and dispersibility under long-time stirring until adsorption and diffusion balance is reached for the cargo molecules and COF carriers. Usually, it takes a few of hours to construct cargo@COF composite systems.

For example, a three-dimensional (3D) COF (TUS-84) with scu-c topology was synthesized via the [8+4] imine condensation reaction in 2022.38 This is a typical example of a COF synthesized through the traditional solvothermal method, where two monomers (DPTB-Me and TAPP), catalyst (6 M aqueous acetic acid) and solvent (mesitylene and 1,4-dioxane, 5[thin space (1/6-em)]:[thin space (1/6-em)]5, v/v) are mixed at 120 °C for 3 days. As shown in Fig. 2(A), the PXRD and HRTEM characterization results of TUS-84 indicated it had an ordered microporous structure with high crystallinity, which showed great potential for drug delivery. Subsequently, in the second step of drug loading, the TUS-84 powder was immersed in a hexane solution of ibuprofen, and then stirred at room temperature for 4 h. Both UV-Vis spectroscopy and thermogravimetric analysis (TGA) were conducted to measure the loading capacity of ibuprofen in Ibu@COF, and the results from these two methods corresponded well, revealing a value of 11 wt%. Similarly, Sabuj Kanti Das and co-workers employed a novel biocompatible COF (TRIPTA-COF) to serve as a great nanocarrier for cisplatin (Fig. 2(B)).39 Briefly, the monomers were added to a dry Pyrex tube, followed by the addition of the solvent and catalyst. Subsequently, the homogeneously dispersed reaction mixture was degassed by three freeze–pump–thaw cycles, flame-sealed, and then allowed it to react for 4 days. Finally, cisplatin was impregnated in the unoccupied pores of the COF by overnight stirring using DMSO as the solvent. The quantitative drug loading assay was performed by TGA and ICP-OES techniques, resulting in a high loading efficiency of 31.19%.


image file: d3mh01492d-f2.tif
Fig. 2 The two-step encapsulation procedure via the solvothermal method. (A) I. Strategy for the constructing of 3D COFs with scu or scu-c topology. II. PXRD patterns and HRTEM images of TUS-84. Reproduced from ref. 38 with permission from ACS Applied Materials & Interfaces, Copyright 2022. (B) Synthesis of cisplatin-loaded TRIPTA-CISPLATIN. Reproduced from ref. 39 with permission from Nanoscale Advances, Copyright 2022.

Unlike traditional solvothermal COF synthesis, room temperature synthesis approaches do not require any rigorous reaction conditions, such as high temperature, long reaction time and inert atmosphere (absence of water and oxygen). Alternatively, mild reaction conditions are employed to construct cargo@COF systems. In 2023, Han et al. synthesized a dual-drug delivery system to immobilize both the photosensitizer indocyanine green (ICG) and the hypoxia-activated prodrug AQ4N.40 In a typical synthesis procedure, a transparent homogeneous solution of monomers and catalyst was stirred for 12 h at room temperature. Subsequently, the residue was collected by centrifugation, followed by washing with anhydrous ethanol three times. The pre-synthesized TPB-DMTP-COF was used to entrap ICG and AQ4N stepwise through stirring for 12 h to obtain COF@ICG and COF@ICG/AQ4N, respectively. As shown in Fig. 3(A), the TEM images verified that all products were dispersed uniformly.


image file: d3mh01492d-f3.tif
Fig. 3 The two-step encapsulation procedure with room temperature synthesis approach. (A) I. Synthesis process of HA-COF@ICG/AQ4N. II. TEM images of COF, COF@ICG, and HA-COF@ICG/AQ4N nanoparticles. Reproduced from ref. 40 with permission from Colloids and Surface B: biointerfaces, Copyright 2023. (B) I. Synthesis process of imine-linked COFs. II. SEM images of COFs and equipment for the gram-scale synthesis of RT-COF-1. III. Synthesis process of LND@RT-COF-1. Reproduced from ref. 41 with permission from Advanced Therapeutics, Copyright 2021.

In almost all previous studies, COFs were synthesized on the milligram-scale; however, Dong's group proposed a novel strategy that expanded the synthesis procedure to the gram-scale, while maintaining the particle size and spherical morphology.41 The photocatalytic cascade reactions played a dominant role in the newly propounded strategy, which were performed to prepare four previously reported imine-linked COFs after sequential reactions under ambient conditions at room temperature (Fig. 3(B)). Subsequently, RT-COF-1 with an average size of 167.9 nm was selected as a model nanocarrier for the delivery of the anticancer drug lonidamine (LND). As shown in Fig. 3(B)-III, the LND@ RT-COF-1 composite was simply obtained by immersing RT-COF-1 in an ethanol solution of LND for 24 h.

2.1.2 The one-pot encapsulation method. Moreover, another encapsulation method is defined as the “one-pot” encapsulation procedure, where all the necessary reactants including the monomers, drugs, and catalyst are added to “one pot” for the fabrication of the drug@COF system. Compared with the general two-step process, the “one-pot” method is more convenient and time-saving. For example, in 2019, DOX was successfully in situ loaded in a COF via a one-pot method for the first time by Liu and co-workers.42 Specifically, the raw materials were mixed, followed by stirring at room temperature for 24 h. Finally, as shown in Fig. 4(A), the DOX@COF platform with a high drug loading capacity of 32.1 wt% was successfully constructed.
image file: d3mh01492d-f4.tif
Fig. 4 The one-pot encapsulation method. (A) Illustration of the synthesis and application of DOX@COF. Reproduced from ref. 42 with permission from Chemistry, Copyright 2019. (B) A schematic diagram of the preparation of CUR@COF. Reproduced from ref. 43 with permission from ACS Applied Materials & Interfaces, Copyright 2022. (C) The synthesis process and formation mechanism of the trypsin@COF-LZU1 capsule. Reproduced from ref. 44 with permission from ACS Applied Materials & Interfaces, Copyright 2022.

Recently, Zou et al. fabricated a CUR@COF nanosystem via a facile “one pot” method for the delivery of curcumin (CUR).43 The CUR loading capacity in the COF was calculated to be in the range of 15.05% to 27.68% with an increase in the content of CUR from 2 to 8 mg, while the encapsulation efficiency decreased from 78.26% to 49.63%. Furthermore, the standard CCK-8 assay was conducted to evaluate the in vitro cytotoxicity of COF or CUR@COF, and the results showed that 91% and 95% cells survived at the concentration of 200 μg mL−1, indicating the low cytotoxicity and good biocompatibility of COF and CUR@COF (Fig. 4(B)).

The “one-pot” method was used for the delivery of not only small molecules but also for the immobilization of biomacromolecules, such as enzymes. Recently, a hollow COF-based capsule for the template-free in situ encapsulation of enzymes was prepared by Chao and co-workers.44 As shown in Fig. 4(C), the enzyme (trypsin) and raw materials in process for the synthesis of COF-LZU1 (benzene-1,3,5-tricarbaldehyde and p-phenylenediamine) were mixed in 1,4-dioxane at room temperature and left to react for 3 days without stirring. Finally, the trypsin@COF-LZU1 composites were successfully prepared via the single-step and template-free process. With an increase in the content of trypsin from 0 to 6.0 mg, the crystallinity of COF-LZU1 showed no significant change given that the X-ray diffraction peaks of the products remained the same. More importantly, this single-step strategy can also be extended to other biomolecules (HRP, GOx and BSA), making it a high potential method for the encapsulation of biomacromolecules.

2.1.3 The hollow encapsulation process. Hollow nanoparticles with empty cavities are fascinating materials for the immobilization and delivery of biomolecules. These hollow materials are usually fabricated via soft/hard templating routes, sacrificial template methods, etc.

Recently, Du and co-workers proposed a self-templating method for the synthesis of a hollow 2D COF using a newly synthesized building block (2,3,6,7,10,11-hexakis(4-aminophenyl) triphenylene, HAPTP) under solvothermal conditions.45 Impressively, the newly synthesized COFs were homogeneous solid spheres initially; however, a transformation occurred based on a time-dependent model, gradually turning into uniform hollow spheres accompanied by the Ostwald ripening process, as shown in Fig. 5(A). Subsequently, IBU was loaded successfully, and the loading capacity was determined by TGA to be as high as 20 wt%, benefitting from the high crystallinity quality and large surface area of the host COFs.


image file: d3mh01492d-f5.tif
Fig. 5 The hollow encapsulation procedure. (A) I. Process for the synthesis of HAPTP-TPA 2DCOFs. Reproduced from ref. 45 with permission from Chemistry of Materials, Copyright 2023. (B) Synthetic route for biomacromolecule@COF capsules. Reproduced from ref. 46 with permission from Journal of the American Chemical Society, Copyright 2020. (C) Synthesis process of the COF and hollow COF. Reproduced from ref. 47 with permission from Angewandte Chemie-International Edition, Copyright 2023.

Li et al. used metal–organic frameworks (MOFs) as sacrificial templates to construct COF capsules for the encapsulation of an enzyme (Fig. 5(B)).46 Firstly, the catalase (CAT) molecules were in situ encapsulated in digestible MOFs to form biomacromolecules@MOF, which could protect enzymes from losing their bioactivities. Secondly, the COF coating was grown on the surface to obtain biomacromolecule@MOF@COF core–shell structures. Finally, the MOF core was etched and the as-obtained hollow COF was used to immobilize the enzyme successfully. Consequently, compared with free CAT or the CAT@MOF complex, the CAT@COF capsules exhibited an excellent protection effect on the enzyme activity under various perturbation conditions including acid, proteases, acetone and high temperature.

Liu and coworkers proposed a fascinating strategy for the controllable synthesis of a series of hollow COFs via the oxidation of the imine bond via hydroxyl radicals (˙OH) generated from the Fenton reaction.47 The whole procedure included two steps (Fig. 5(C)), where firstly, a solvent evaporation strategy was proposed for the synthesis of high crystallinity COFs, by which the solvent (ACN) and catalysis (acetic acid) were evaporated when exposed in an uncovered vessel at mild temperature (room temperature to 60 °C) with stirring. Secondly, the synthesized COFs were converted into hollow COFs by breaking the imine bond under the combined action of ferric chloride (FeCl3), hydrogen peroxide (H2O2) and acetic acid. Whether in step one or two, several COFs or HCOFs with diverse morphologies were successfully achieved, demonstrating the universality of this strategies. Finally, the synthesized TAPB-DVA-HCOF functioned as a nanocarrier to load five small molecule drugs. The DLC was calculated to be in the range of 41.7% to 67.8% and EE calculated to be in the range of 31.5% to 75.1% for the five drugs, which were much higher than previous reports. Finally, Ce6@HCOF showed an excellent enhanced sonodynamic cancer therapy ability and anti-tumor efficiency both in vitro and in vivo.

2.2 Covalent binding strategy for COF-based system

The active sites, whether on the side chain of the monomers or unbonded functional groups, are always regarded as potential locations for the covalent binding of targeted cargos, which is defined as post-synthetic modification (PSM) for the former or bonding defect functionalization (BDF) for the latter.

The active sites of COFs can be connected with specific guest molecules through covalent bonds. For example, Shouvik Mitra et al. covalently connected folic acid (FA) to a COF (TpASH-FA) through three sequential post-synthetic modifications (Fig. 6(A)).48 Firstly, the phenolic hydroxyl groups of the original COF (TpASH) were used to conjugate glycidol (Glc). Secondly, the surface hydroxy groups of Glc were used for conjugation of 3-aminopropyltriethoxysilane (APTES) to produce amine (–NH2)-functionalized COFs. Thirdly, the free amino groups of the other end of the APTES molecules reacted with the carboxyl groups of FA through the EDC/NHS coupling reaction, resulting in the formation of the folate-conjugated targeted COF-based delivery system (TpASH-FA). This was the first case of COF-based targeted drug delivery using sequential post-synthetic modifications.


image file: d3mh01492d-f6.tif
Fig. 6 Post-synthetic modification (PSM). (A) I. A schematic diagram of the chemical structure of COF nanosheets. II. Sequential PSM processes of TpASH to TpASH-FA and their NMR spectra (III), as well as SEM and TEM images (IV). Reproduced from ref. 48 with permission from Journal of the American Chemical Society, Copyright 2017. (B) I. Two reversible redox states of a bipyridine-like structure. II. Sequential PSM processes of Py-BPY-COF to Py-Bpy2+-COF or Py-BPy+˙-COF. Reproduced from ref. 49 with permission from Journal of the American Chemical Society, Copyright 2019.

Besides the active sites of the linkers, linkers with particular structures can also be target locations for PSM. Guo's team fabricated a 2,2′-bipyridine-based COF using sequential reactions in situ.49 The obtained Py-BPy-COF contained a 2,2′-bipyridine-like structure whose dicationic derivatives could undergo two-step reversible reductions to form a radical cation and a neutral species (Fig. 6(B)-I), leading to the formation of two cationic types of COFs, Py-Bpy2+-COF and Py-BPy+˙-COF (Fig. 6(B)-II).

The bonding defect functionalization (BDF) was proposed by Dong's group in 2019, which is an alternative strategy to covalently connect the guest with the host.50 In practical terms, the unbonded functional groups (bonding defects) at the end of the COF matrix are supposed to be ideal active sites for grafting small organic molecules (guest). For example, Dong's group prepared two boron-dipyrromethene (BODIPY)-decorated nanoscale COFs (NCOFs) through this BDF approach, i.e., a Schiff-base condensation between the free end aldehyde groups (bonding defects in COFs) of NCOFs and the amino moieties of the organic photosensitizer BODIPY (Fig. 7(A)).50 Similarly, through the BDF method, Dong's group also fabricated a COF-Fc nanosystem (Fig. 7(B)) through the Schiff-base condensation between the free end amino groups (bonding defects in COFs) of COFs and the aldehyde moieties of the Fenton-like reaction catalyst ferrocenecarboxaldehyde (FcCHO).51


image file: d3mh01492d-f7.tif
Fig. 7 Bonding defect functionalization (BDF). (A) Design of BODIPY-loaded nanoscale COFs and their photographs. Reproduced from ref. 50 with permission from iScience, Copyright 2019. (B) Material design and synthesis process of RSL3@COF-Fc. Reproduced from ref. 51 with permission from Small, Copyright 2021.

2.3 Coordination bonding strategy for COF-based system

Monomers with specific structures sometimes are a powerful weapon for anchoring metal ions to obtain metalated COFs, which show great potential for biomedical application. For example, porphyrin-based COF nanoparticles were prepared and further coordinated with Fe2+ by Tang's group in 2021 (Fig. 8(A)).52 Interestingly, the metalloporphyrin-based COF had high catalytic activity and enzyme-like property, which could effectively convert intracellular overexpressed H2O2 into highly toxic hydroxyl radical (˙OH), i.e., it exhibited chemodynamic therapy effects.
image file: d3mh01492d-f8.tif
Fig. 8 Coordination bonding strategy. (A) Synthetic processes of DOX@COF(Fe) and its application. Reproduced from ref. 52 with permission from Chemical Communications, Copyright 2021. (B) Synthetic processes of CFAP and its application. Reproduced from ref. 53 with permission from ACS Applied Materials & Interfaces, Copyright 2022. (C) I. Illustration of the construction of bulk species (L-3N-M) or porous scaffolds (COF-909-M). II. Schematic diagram of multienzyme-mimicking COFs. Reproduced from ref. 54 with permission from Advanced Materials, Copyright 2022.

In 2020, Liu et al. fabricated a TAPB-DMTP-COF using two types of monomers, 1,3,5-tris(4-aminophenyl)benzene (TAPB) and 2,5-dimethoxyterephthaldehyde (DMTP).53 Subsequently, to endow the platform with the ability to further catalyze and degrade the overexpressed H2O2 in the acidic tumor microenvironment (TME) through Fenton-like reactions, ferric chloride was introduced, by which Fe3+ could be coordinated with the amino groups of the COFs to form metallized COFs (Fig. 8(B)). The pre-synthesized CFAP nanocomposite showed efficacious synergistic photo-, chemodynamic-, and immunotherapy effects towards both the primary tumor and tumor metastasis.

In addition, COF-909-Cu with a bipyridine-like structure monomer is another typical example of metal coordination, which exhibited excellent CDT efficacy, and also efficiently triggered pyroptosis.54 The adjacent tri-pyridines of 4,4′,4′′-(1,4-phenylene)bis(([2,2′:6′,2′′-terpyridine]-5,5′′-dicarbaldehyde)) were ideal candidates for synthesizing metalated COFs. The tri-pyridine structure acted as a paw, which anchored the metal ions (e.g., Cu2+, Fe3+, and Ni2+) tightly, as illustrated in Fig. 8(C).

3. COFs for integration and delivery of small molecules, biomacromolecules and exosomes

Due to their large specific surface area and tunable pore size, COFs have been widely used as carriers for bioactives. Here, we classify COFs in three different groups according to the molecule size of the cargos they deliver, namely, small molecule@COF, biomacromolecule@COF and exosome@COF. The most studied small-guest molecules include anticancer drugs, such as DOX, 5-Fu, and cisplatin. Besides, COFs for the delivery of biomacromolecules has attracted interest from researchers recently, especially for enzymes and genes. Surprisingly, COFs also work as an excellent choice for the delivery of more complicated targets, such as exosomes.

3.1 COFs for the integration and delivery of small molecules

Many anticancer drugs and other bioactive components with low molecular weight exhibit limited therapeutic outcomes due to their inherent properties such as low water solubility, poor bioavailability and short biological half-life. Furthermore, some traditional cytotoxic drugs can accumulate in tissues and organs, causing serious side effects. In this case, the construction of COF-based delivery platforms for small molecules is a powerful strategy to overcome the above-mentioned limitations. In fact, several researchers that have achieved success in this field.

In 2015, Fang and co-workers innovatively proposed that COFs have potential for drug delivery for the first time (Fig. 9(A)).55 They fabricated two PI-based COFs, which were denoted PI-COF-4 and PI-COF-5, using a linear dianhydride and two different tetrahedral amines through an imidization reaction, exhibiting high crystallinity and considerable BET surface areas. The selected PI-COFs had pore sizes in the range of 11 Å to 15 Å, which provided sufficient room to entrap ibuprofen (IBU) molecules, which have a size of approximately 5 Å × 15 Å. Furthermore, the loading capacity of IBU was evaluated to be 24 wt% for PI-COF-4 and 20 wt% for PI-COF-5 based on the TGA analysis.


image file: d3mh01492d-f9.tif
Fig. 9 Small molecule@COF. Synthesis process of (A) PI-COF-4 and PI-COF-5. Reproduced from ref. 55 with permission from the Journal of the American Chemical Society, Copyright 2015. (B) PI-3-COF and PI-2-COF. Reproduced from ref. 56 with permission from Chemical Communications, Copyright 2016. (C) DOX-loaded PEG-CCM@APTES-COF-1. Reproduced from ref. 58 with permission from Nature Communications, Copyright 2018. (D) Synthesis process of TD-COFs and SP-COFs. Reproduced from ref. 84 with permission from Chemical Science, Copyright 2022.

In the next year, compared with PI-COF-4 or PI-COF-5 on the micro-scale, nano-sized COFs were successfully fabricated, realizing tremendous progress for biomedical application. Bai et al. used 1,3,5-triformylbenzene and two types of amine compounds to synthesize two other polyimine-based COFs, namely, PI-3-COF and PI-2-COF (Fig. 9(B)).56 Subsequently, by following one gold standard that the molecular size of the guest should fit well with the pore width of host, three different drug molecules (5-FU, captopril and IBU) were selected, resulting in a high DLC, which reached up to 30 wt%. Unlike the micro-scale PI-COF-4 and PI-COF-5 synthesized by Fang's group, the average diameter of PI-3-COF and PI-2-COF was about 50 nm, providing a greater possibility for applications in vivo. Moreover, the phenomenon that the drug-loaded COFs can be endocytosed in cancer cells was observed and confirmed by confocal laser scanning microscopy, providing direct evidence for nano COFs serving as drug carriers.

Subsequently, Guiyang Zhang et al. developed an amine-functionalized COF-1 (APTES-COF-1) to encapsulate DOX, which is a classic anticancer drug,58 followed by decorating with fluorescent composite polyethylene-glycol-modified monofunctional curcumin derivatives (PEG-CCM), and then obtained a water-dispersible polymer-COF-DOX nanocomplex (Fig. 9(C)). Notably, this was the first time that COF-based nanocomposites were investigated for in vivo drug delivery and antitumor efficacy in nude mice, which can facilitate innovations and applications for COF-based carriers for drug delivery.

Recently, Yao and co-workers used this type of PSM strategy to functionalize TD-COFs with sodium phosphate groups in their channels to obtain phosphorylated COFs (SP-COFs), as shown in Fig. 9(D).84 Interestingly, the hydroxyl unit ligands of TD-COFs were ideal phosphorylation sites, and it only took two simple steps to obtain the final product SP-COFs. After exploring the mechanism of action between SP-COFs and the Aβ42 peptide (a typical cytotoxin to Alzheimer's disease) through molecular dynamics simulation, the single pore of SP-COFs was proven to have potential for the recognition and targeting of specific amino acid sites of the Aβ42 sequence. Besides, the following cellular level experiments also demonstrated that SP-COFs are new nano-inhibitors for the inhibition of Aβ fibrillation for the prevention and treatment of Alzheimer's disease.

In addition to drug molecules, COFs can also serve as carriers for photosensitizers (PSs) and photothermic agents (PTAs), where the former are employed photodynamic therapy (PDT), while the latter for photothermal therapy (PTT). Guan et al. prepared a nano COF-based system (VONc@COF-Por) through a facile synthetic approach under ambient conditions.59 In this platform, porphyrinic PS (Por) was covalently grafted through the bonding defect functionalization strategy and the naphthalocyanine PTA (VONc) was noncovalently loaded via the guest encapsulation approach to obtain a multifunctional nanosystem for PDT/PTT combination therapy, as shown in Fig. 10(A). Quantitatively, the loading capacity of Por and VONc was determined by the UV-Vis external standard method and calculated to be 0.091 ± 0.010 and 0.256 ± 0.030 μmol mg−1, respectively.


image file: d3mh01492d-f10.tif
Fig. 10 Small molecule@COF. (A) Mind mapping for designing nanotherapeutic systems and synthesis process of VONc@COF-Por. Reproduced from ref. 59 with permission from ACS Nano, Copyright 2019. (B) Schematic illustration of synthesis of COF@IR783@CAD and its application. Reproduced from ref. 61 with permission from ACS Applied Materials & Interfaces, Copyright 2019. (C) Fabrication process and photoimmunotherapy performance of ICG@COF-1@PDA nanosheets. Reproduced from ref. 109 with permission from Advanced Functional Materials, Copyright 2019. (D). The synthetic process of RCMP and its application in SDT. Reproduced from ref. 87 with permission from Advanced Science, Copyright 2023.

Various COF-based delivery systems for PSs and PTAs have successively emerged. Wang et al. developed the COF@IR783@CAD dual-delivery system for the combination of chemotherapy and PTT (Fig. 10(B)).61 More importantly, this complex showed an excellent photo-absorption property and good light-to-heat conversion efficiency, suggesting that COF@IR783 can be used for photoacoustic (PA) imaging in vivo. Besides, Gan et al. constructed COF-1 using 1,4-benzendiborinic acid as a monomer for the delivery of ICG in 2019 (Fig. 10(C)).109 Besides, Ge et al. obtained a TA-COF, which was synthesized using 1,3,5-triformyl-2,4,6-trihydroxybenzene (TP) and 4,4-azodiaminobenzene (AD) for the delivery of Ce6 in 2021.68

Recently, Zhang and co-workers designed a COF nanobowl and engineered it as an activatable nanosensitizer for the delivery of the small-molecule sonosensitizer Rose Bengal (RB) to realize activatable and ferroptosis-boosted sonodynamic therapy (SDT).87 As shown in Fig. 10(D), COF nanobowls with high crystallinity and uniform morphologies were synthesized using a hard-template method. Benefiting from the MnOx shell with glutathione (GSH)-responsive degradation behavior, the nanoplatform could switch from the “off” to “on” state to exert therapeutic efficacy at the tumor site under US irradiation.

3.2 COFs for the integration and delivery of biomacromolecules

COF-based carriers are not only good candidates for the delivery of small molecules, but also show a good performance for the immobilization of biomacromolecules. Nanomaterials with micropores are not ideal choices for the immobilization of biomacromolecules given that their pore sizes are too small to accommodate these large-sized biomolecules. By contrast, the pore size of COFs is designable, ranging from several to tens of angstroms, making mesoporous COFs popular materials for the encapsulation of biomacromolecules.
3.2.1 COFs for protein integration and delivery (protein@COF). Since the first reported work on the use of COFs as host materials for the immobilization of enzymes in 2015, many researches have proven that COFs as enzyme immobilization hosts can maintain the activity and stability of the immobilized enzyme.88 For example, Wan et al. fabricated a COF-based nanopocket for the dual loading of GOx and CAT (Fig. 11(A)), which could generate cascade enzyme catalysis reactions and further give starvation therapy and enhanced photodynamic therapy.96 After being labelled by Cy3 (a type of fluorescence dye), the loading capacity of GOx and CAT could be analyzed by a fluorescence spectrometer, with values of 46.1 μg mg−1 and 392.6 μg mg−1, respectively. To further explore the retention time of free GOx and GOx@COF in tumor tissues, they were labelled with IR808 for fluorescence detection. The fluorescence intensity of COF@GOx-IR808 remained strong, even 5 days post-injection, indicating that GOx@COF could be retained for a long period to support complete catalysis.
image file: d3mh01492d-f11.tif
Fig. 11 Protein@COF. (A) Preparation of the COF@GOx@CAT nanopocket for cancer therapy. Reproduced from ref. 96 with permission from Chemical Communications, Copyright 2021. (B) The fabrication and mechanism of phototherapy and immunotherapy by CIO. Reproduced from ref. 93 with permission from Journal of Materials Chemistry B, Copyright 2020. (C) Covalent immobilization of Cyt c onto COFs. Reproduced from ref. 100 with permission from Angewandte Chemie-International Edition, Copyright 2022. (D) Synthesis of FITC-PEG-COF@Ins-GOx composites (I and II) and the possible mechanism of glucose and pH dual-responsive insulin delivery (III). Reproduced from ref. 94 with permission from ACS Applied Materials & Interfaces, Copyright 2019.

In addition, ovalbumin (OVA) is a common antigen used for antigen-induced immunotherapy. Pang's group developed a COF-based antigen delivery system (named COF@ICG@OVA, CIO) for synergistic cancer phototherapy and immunotherapy (Fig. 11(B)).93 The particle size of the composite material was measured to be ∼100 nm, and the loading efficiency towards OVA was around 40.44%. More importantly, the CIO nanoparticle could not only ablate primary tumors through PDT/PTT, but also induce antitumor immune responses combined with checkpoint blockade therapy.

Recently, Xing et al. covalently immobilized cytochrome c (Cyt c) in [OH]x%-TD-COFs.100 These COFs were synthesized using one triamine 1,3,5-tris(4-aminophenyl) benzene (TAPB) and two dialdehydes including 2,5-dihydroxyterephthalaldehyde (DHTA) and 2,5-dimethoxyterephthalaldehyde (DMTA) with different proportions (Fig. 11(C)), where x% represents the molar percentage of DHTA in the dialdehyde mixture. Therefore, the obtained COFs had different contents of anchoring sites (phenolic groups) for further introducing epoxy units on the channel walls of the COFs through a Williamson ether reaction. The third step was to anchor Cyt c in the COFs by the covalent linkage between nucleophilic groups from the enzyme guest (mainly the amino moiety) and epoxy groups from the COF host. Consequently, the covalent interactions between COFs and Cy c could induce secondary structural changes in the latter, resulting in a more accessible heme center, and thus enhancing the catalytic activity, which could reach 600% activity compared with the free enzyme.

Zhang et al. firstly prepared two borate-based COFs (COF-1 and COF-5) for the encapsulation of insulin (Ins) and glucose oxidase (GOx) via Brønsted and Lewis type (N: → B) complexation, and subsequently decorated them with polyethylene glycolated isothiocyanate (FITC-PEG) to finally obtain FITC-PEG-COF@Ins-GOx (Fig. 11(D)).94 The obtained composite was suggested to achieve the glucose- and pH dual-responsive delivery of COF-based insulin. Due to the presence of fluorescein FITC, the bio-distribution of the composite could be seen by tracking the intrinsic fluorescence of FITC in vivo. Besides, this composite showed excellent anti-diabetic effects on type I diabetic mice and could maintain the blood glucose level in the normal range.

In addition to intravenous delivery, COFs could also be used for the oral delivery of insulin. Farah Benyettou and co-workers prepared layered 2D COF nanosheets with insulin loaded between the nanosheet layers (TTA-DFP-nCOF/insulin) with a high loading capacity (∼65 wt%).95 It was noteworthy that TTA-DFP-nCOF could protect the encapsulated insulin to maintain its activity under harsh conditions mimicking the stomach environment (pH = 2.0); meanwhile, the sustainable release of insulin could be successfully implemented under hyperglycemic conditions.

3.2.2 COFs for nucleic acid integration and delivery (nucleic acid@COF). In addition to proteins, COFs can also serve as carriers for other biomacromolecules, i.e., genes. For instance, Tang's group prepared a COF-based platform for integrating a dye-labeled oligonucleotide in the carriers.92 Compared with the monomer porphin, the porphin-based COF had a better crystalline reticular structure and large planar structure with strong π-electron system, making the latter easy to absorb DNA single strands (Fig. 12(A)). The relative fluorescence intensity of the COF–survivin system changed slightly during incubation in PBS or DMEM for 7 days, indicating that it had a good stability. Also, the system possessed the ability to selectively image cancer through fluorescence resonance energy transfer (FRET) with a ‘turn-on’ pattern. Besides, the porphin-based COF could generate abundant 1O2 species under NIR laser irradiation, inducing cancer cell apoptosis without dark toxicity.
image file: d3mh01492d-f12.tif
Fig. 12 Nucleic acid@COF. (A) Synthesis of the COF–survivin system. Reproduced from ref. 92 with permission from Chemical Science, Copyright 2020. (B) Construction of CTF-PEG-PEI for efficient intracellular gene delivery. Reproduced from ref. 99 with permission from ACS Applied Nano Materials, Copyright 2021. (C) Construction of CLZU nanoparticles and their application for anti-tumor gene therapy. Reproduced from ref. 110 with permission from Science Chins Chemistry, Copyright 2021. (D) Construction of DNA-COFs for the detection of exosomes. Reproduced from ref. 103 with permission from Analytical Chemistry, Copyright 2022.

Cao et al. reported a strategy to construct triazine-based COF nanosheets (CTF-PEG-PEI) via exfoliation and surface modification for the delivery of DNA (Fig. 12(B)).99 This nonviral vector had a unique brush-like hierarchical structure, making it strongly condense nucleic acids and efficiently release the nucleic acid cargo after cellular uptake. To further study the in vivo gene delivery ability of COFs, Hao et al. designed a series of cationic porous COF-based nanoparticles with a good gene transfection effect and biocompatibility (Fig. 12(C)).110 After successfully constructing the vehicles, a therapeutic gene for tumor suppression, shVEGF, was chosen for in vivo delivery. Finally, this platform could significantly inhibit tumor growth, indicating its excellent potential for gene therapy.

Yang's group firstly proposed a strategy to functionalize COFs with DNA by covalent interaction.103 As shown in Fig. 12(D), the azide-modified DNA could be efficiently connected to the pre-prepared alkynyl-rich COFs through Cu(I)-catalyzed azide/alkyne cycloaddition (CuAAC) reaction. Then, a complementary 5-carboxyfluorescein-labeled DNA (FAM-DNA) strand was used to hybridize with the single-strand DNA on the COF surface to obtain DNA@COF composites. In this design, the COF probes were further used to construct an effective electrochemical biosensor for the detection of exosomes.

3.3 COFs for the integration and delivery of exosomes (exosome@COF)

More impressively, COFs have potential to deliver more complex objectives, such as exosomes. Sun et al. designed and fabricated a 2D COF-based nanoagent for the delivery of antibacterial immuno-engineered exosomes, which was designated as PCOF@E-Exo.108 This COF, TPB-DHTA-COF, was synthesized through the polycondensation of 1,3,5-tris-(4-aminophenyl) benzene (TPB) and 2,5-dihydroxyterephthalaldehyde (DHTA), with a 3.3 nm pore diameter and a 3.2 Å neighboring layer size, as shown in Fig. 13. Furthermore, the surface functionalization of COFs was accomplished by introducing polydopamine to overcome their poor water dispersibility and inefficient intracellular uptake efficiency. Subsequently, the engineered exosomes were integrated in a PCOF nanosheet platform via simple electrostatic interaction. The TEM image (Fig. 13(II)) of PCOF@E-Exo proved the abundant binding of E-Exos to the PCOF nanosheets, which were marked with blue arrows. Additionally, the prepared PCOF@E-Exos remained stable and relatively uniform in various solvents, such as deionized water, PBS, fetal bovine serum (FBS, 10%) and DMEM medium. As shown in Fig. 13(IV), the PCOF@E-Exo-integrated nanoagent showed excellent antibacterial activity towards both Gram-negative (Escherichia coli) and Gram-positive (Staphylococcus aureus) bacteria.
image file: d3mh01492d-f13.tif
Fig. 13 Exosome@COF. I. Formation of TPB-DHTA-COF, synthesis of PCOF, and preparation of engineered exosome (E-Exo). II. TEM image of the PCOF@E-Exo nanoagent. III. Preparation of the PCOF@E-Exo integrated nanoagent and its theranostic mechanism in infected diabetic fester wounds. IV. Antibacterial activity analysis of the PCOF@E-Exo nanoagent against E. coli and S. aureus. Reproduced from ref. 108 with permission from Small, Copyright 2022.

4. COF-based hybrid materials for the integration and delivery of bioactives

Hybrid materials are expected to make up for the original deficiencies of their components or enhance their advantages to realize ‘the whole is greater than the sum of the parts’. Impressively, COFs show good potential as hybrid material candidates,111 and researchers have begun to combine COFs with other functional materials to prepare COF-based composites for the delivery of cargo, such as MOF@COFs, metal NP@COFs, metal oxide/sulfide@COFs, silica@COFs, and polymer@COFs. Table 2 summarizes the COF-based hybrid composites reported for the delivery of cargo in the last three years.
Table 2 Summary of COF-based hybrid composites for cargo integration and delivery
Year Composite Hybrid type Cargo Applications Ref.
2019 ICG@COF-1@PDA PDA@COF ICG Immunotherapy/PTT 109
2020 HRP-pSC4-AuNPs@COFs Au NP@COF HRP Exosomes detection 112
2023 ICPA Pt NP@COF ICG Self-strengthening photocatalytic therapy 113
2019 Co-MOF@TPN-COF MOF@COF Aptamer Ampicillin detection 114
2021 Cu-MOF@CuPc-TA-COF MOF@COF pDNA HIV-1 DNA detection 115
2021 Cu-MOF@TpBD-COF MOF@COF Aptamer PDGF-BB detection 116
2022 MOF@COF-Apatinib MOF@COF Apatinib MWDT/anti-angiogenesis therapy 117
2022 CA4V/ZIF-90@TzCOF@Apt MOF@COF CA4V Anti-vascular therapy 118
2022 C60@TAPT-DHTA-COF C60@COF Aptamer Tobramycin detection 119
2022 O2-FeCOF@CaCO3@FA CaCO3@COF FA PDT/Ca2+ overload treatment 120
2021 Au/COF/MnO2 MnO2@COF@Au NP Antibody HCG detection 121
2021 Fe3O4@COF-BSA–FA Fe3O4@COF DOX PTT/CT 122
2021 Fe3O4@COF@BSA Fe3O4@COF BSA Chiral recognition 123
2022 Fe3O4@SiO2@COF Fe3O4@SiO2@COF Hairpin DNA Glioma detection 124
2022 Fe3O4@COF-Au NP Fe3O4@COF@Au NP ssDNA ATP detection 125
2023 GOx–Fe3O4@COF Fe3O4@COF GOx Removal of mycotoxins 126
2023 MnO2-Poly(I:C)@COF MnO2@COF Poly(I:C) Immuno-sonodynamic therapy 127
2022 MGPPCLP SiO2@COF Gemcitabine/glycoprotein Programmed multi-drugs delivery 128
Inhibitor/losartan
2022 OC-COF Cyclodextrin@COF Ligustrazine (LIG) Inhalation therapy against acute lung injury 129
2023 Por-COF-gel Gel@COF Acrylate Sterilization/wound healing 130
2023 CuS@COFs-BSA–FA/DOX CuS@COF DOX/BSA CT/PTT/CDT 131


4.1 MOF@COFs

It is a good strategy to combine MOFs and COFs to realize a collaborative functional effect. One the one hand, the limitation of COFs of the lack of active metal centers can be addressed by introducing metal complexes in COFs. On the other hand, the restriction that the relatively weak strength of coordination bonds of MOFs can be strengthened by encapsulating other functional materials.

For example, Li et al. proposed the combination of a COF-based nanocapsule with an MOF (MOF@COF) for loading the hydrophobic inhibitor apatinib.117 The MOF as the inner layer consisted of Bi3+ and Mn2+, which was designed as a microwave sensitizer to generate cytotoxic 1O2 and heat for microwave dynamic/thermos synergistic therapy (MWDT/MWTT), as shown in Fig. 14(A). The COF as the outer layer was covalently coated on MOF for further augmenting these two treatment effects. Besides, Wang et al. proposed a bioorthogonal nanoreactor (CA4V/ZIF-90@TzCOF@Apt) with a ZIF-90 core and COF shell (Fig. 14(B)).118 Specifically, the ZIF-90 core was used for the delivery of CA4V, a prodrug of the vascular disrupting agent CA4, through a ‘one-pot’ in situ self-assembly process, involving CA4V, imidazole-2-carboxaldehyde (ICA) and Zn2+. Besides, the TzCOF shell was utilized for coating an aptamer polymer, which could target tumor cells.


image file: d3mh01492d-f14.tif
Fig. 14 MOFs@COFs. (A) Synthesis of BMCAP nanocapsule and its application in MWDT/MWTT for anti-angiogenesis of colorectal cancer. Reproduced from ref. 117 with permission from Biomaterials, Copyright 2022. (B) Synthesis of CA4V/ZIF-90@COF@Apt nanoreactor and its significant cancer inhibition rates towards DU145 cells. Reproduced from ref. 118 with permission from Chemical Communications, Copyright 2022.

4.2 Metal nanoparticle@COFs

COFs can be functionalized with metal nanoparticles such as Au NPs, and Pt NPs, and the resulting composites have extensive application prospect. For instance, Wang et al. designed a novel COF-based nanoprobe (HRP-pSC4-AuNPs@COFs), whose surface was decorated with AuNPs, which were further used for the immobilization of horseradish peroxidase (HRP) (Fig. 15(A)).112 Notably, the COF could not only load a large amount of HRP due to its high porosity, but also maintain the functionality of HRP owing to its exoskeleton support. The AuNPs were used for accelerating the migration of charge carriers and improving the response of biosensors. Consequently, the whole design showed an excellent analytical performance for the detection of colorectal cancer-derived exosomes, even in clinical serum samples.
image file: d3mh01492d-f15.tif
Fig. 15 Metal nanoparticles@COFs. (A) I. Process for the fabrication of COF-based nanoprobes and II. mechanism of the electrochemical biosensor for the detection of exosomes. Reproduced from ref. 112 with permission from Biosensors and Bioelectronics, Copyright 2020. (B) Synthesis process of ICPA and its application in reversing tumor hypoxia and inducing tumor thermal damage and oxidative stress. Reproduced from ref. 113 with permission from Biomaterials, Copyright 2023.

Recently, increasing efforts have been devoted to the combination of functional components, i.e., metal nanoparticle-doped COFs. Tang's group proposed the preparation of ultra-small Pt NPs deposited on a COF nanoplatform (termed CP) via an in situ chemical reduction method (Fig. 15(B)).113 Subsequently, a thiol-terminated AS1411 aptamer was decorated on it by forming a stable Pt–S bond and the photosensitizer ICG was loaded to obtain the final versatile nanosystem (ICPA).

4.3 Metal oxide/sulfide@COFs

Metal oxides or sulfides play an important role in biomedical applications because of their metal active sites and intrinsic enzyme-mimicking abilities. Recently, Liu's group fabricated well-defined COFs with sonosensitive properties for the efficient loading of the toll-like receptor agonist, Poly(I:C), as well as in situ growth of MnO2, which acts as an enzyme-like nano-catalyst for oxygen production by reacting with TME-overexpressed H2O2.127 Finally, the prepared MnO2-Poly(I:C)@COF composites were successfully used for imaging-guided cancer combinatorial immuno-sonodynamic therapy, as illustrated in Fig. 16(A).
image file: d3mh01492d-f16.tif
Fig. 16 Metal oxides/sulfides@COFs. (A) Construction of MnO2-Poly(I:C)@COF NPs for enhanced SDT. Reproduced from ref. 127 with permission from Advanced Functional Materials, Copyright 2022. (B) Synthesis of Fe3O4@COF-BSA–FA system and its synergistic treatment. Reproduced from ref. 122 with permission from Microporous and Mesoporous Materials, Copyright 2021. (C) Preparation and therapeutic functions of CuS@COFs-BSA–FA/DOX. Reproduced from ref. 131 with permission from Chemical Engineering Journal, Copyright 2023.

Zhao et al. integrated a magnetic COF with Fe3O4 shell and further functionalized it with bovine serum albumin (BSA) and folic acid (FA) to improve its dispersibility and selectivity.122 Finally, the prepared novel Fe3O4@COF-BSA–FA nanosystem worked as an effective DOX carrier with excellent photothermal performance, resulting in chemo/photothermal combined therapy (Fig. 16(B)). Similarly, Wang et al. established a multifunctional nanoplatform (CuS@COFs-BSA–FA/DOX) based on a hybrid CuS/COF inner layer and BSA/FA outer layer for synergistic chemo/photothermal/chemodynamic therapy (Fig. 16(C)).131

5. Stimuli-responsive release in COF-based system

The key to drug delivery systems is not only about their high loading capacity, but also their ability to act as vehicles that can release cargos in a stimuli-responsive, controllable and sustained manner over time. In this part, we introduce a variety of stimuli-responsive COFs that can achieve the regulated delivery and controlled release of loaded cargos upon activation by diverse stimuli, such as pH, GSH, hypoxia, and albumin. Table 3 summarizes the recent studies on COF-based stimuli-responsive release systems.
Table 3 Summary of recent studies on COF-based stimuli-responsive release systems
COF Linkage Stimuli type Morphology and size Cargo Release behavior Disease model Ref.
TAPB-DMTP-COF Imine pH Nanosphere (200–400 nm) DOX Almost 100% at pH = 5.0 in 24 h H22 xenograft mouse model 42
TAPB-DMTA-COF Imine pH Multiantenna-like particle (160.5 nm) Curcumin 74.6% at pH = 5.0 in 100 h Animal full-thickness wound defect model 43
DT-COF Imine pH Nanosphere (500–600 nm) Carboplatin Completely released for 1 h at pH = 5.0 and 12 h at pH = 7.4 62
Tf-TAPB COF Imine pH Nanosphere (∼170 nm) RSL3 61.1% ± 9.0% at pH = 5.0 in 96 h HT-1080 xenograft mouse model 51
TPB-DMTP-COF Imine pH Radial sphere (144 nm) Gambogic acid 59.43% at pH = 5.0 in 24 h 4T1 xenograft breast cancer model 132
COF-366 Imine pH Sphere (∼150 nm) Plumbagin 93% at pH = 5.5 in 72 h LNCap cells 74
Hollow COF Imine pH Hollow nanosphere (∼30 nm shell thickness) Apatinib 76.3% at pH = 5.7 in 24 h HepG2 xenograft mice 83
TTA-DFP-nCOF Imine pH Nanosheet (stacking of ∼18 layers) Insulin Almost 100% at pH = 7.4 with 5 mg mL−1 glucose after 7.5 h Streptozotocin-induced type 1 diabetic rat model 95
PI-CTF Triazine pH Tubular structure (∼30 nm) Sorafenib 66% at pH = 5.3 in 48 h LNCaP cells 60
JUC-56-[HZ]x Hydrazone pH Cytarabine 74.56% at pH = 4.8 in 72 h 71
F68@SS-COF Imine and disulfide pH/GSH Nanosphere (140 ± 15 nm) DOX 90% at pH = 5.0 with 10 mM GSH in 24 h HepG2 cells 64
HY/SS-CONs Imine and disulfide pH/GSH Nearly sphere (120 ± 20 nm) DOX About 90% at pH = 5.0 with 10 mM GSH in 72 h HepG2 cells 66
DSPP-COF Imine and disulfide pH/GSH 59 nm 5-Fu ∼96.9% at 10 mM GSH in 24 h MCF-7 xenograft nude mouse 86
TPE-ss COF Imine and disulfide pH/GSH Nanosheet (5 nm thickness) Matrine ∼80% at pH = 5.0 with 10 mM GSH in 80 h Myocardial ischemia/reperfusion injury 76
Dise-Por Imine and diselenide pH/GSH/photo Sheet-like morphology DOX 89.6% at pH = 5.4 with 10 mM GSH and 808 nm laser in 96 h PC-3 tumor xenografted mice 80
TA-COF Imine and azo Hypoxia Sphere-like (90 nm) TPZ ∼65% with 2 mM Na2S2O4 in 2 h 4T1 tumor xenografted model 68
PER@PDA-COF-1 Imine Protein Nanosheet Mitoxantrone UV-Vis absorption increase and shift when adding 0.3 mM human serum albumin CT-26 tumor xenografted model 79
THPPTK-PEG Thioketal Photo/hypoxia Nanoparticle AQ4N 78.79% after 4 h with a 660 nm laser 4T1 xenograft breast cancer model 40
Nano TKPP-COF Dithioketal Photo Nanoparticle DC_AC50 97.7% in 12 h with a 660 nm laser HT-1080 xenograft mouse model 133


5.1 pH-responsive COFs

Among the COF-based carriers triggered by internal stimuli, pH-responsive COFs are the most widely studied biomaterials, especially for cancer therapy, because of the acidic TME and the sensitivity of imine bonds to external pH values. Specifically, the large amount of H+ tends to induce the protonation of the nitrogen atoms of –C[double bond, length as m-dash]N– bonds under low pH conditions, which decreases the hydrophobic interaction between the cargo and COF, achieving a pH-responsive and controlled release profile. For example, Lalehan Akyuz designed and fabricated an imine-based COF (DT-COF) for the further delivery of an antineoplastic drug, carboplatin, with a significant loading capacity of 31.32%.62 More importantly, to determine the in vitro drug release kinetics, three models (zero order, first order, and Higuchi models) were used to explain the drug release mechanism of carboplatin from the CP-DT-COF nanospheres, and the final results suggested that the Higuchi model based on Fickian diffusion was the most suitable model for drug release. Besides, the drug release performance was recorded at pH = 7.4 (physiological pH of normal cells) and pH = 5.0 (physiological pH of cancer cells). Under both conditions, the release profile for CP-DT-COF was observed to be fast release in the first 12 h, followed by continuous and sustained release over 120 h. However, the drug releasing rate at pH = 5.0 was higher than that at pH = 7.4, suggesting that CP-DT-COF exhibited pH-dependent release, as illustrated in Fig. 17(A). Moreover, a DFT theoretical calculation was used to investigate the interaction forces between carboplatin and the DT-COF carrier. Geometry optimization and interaction energy calculations demonstrated that the guest molecule preferentially interacted with the imine nitrogen and methoxy oxygen of the host CP-DT-COF.
image file: d3mh01492d-f17.tif
Fig. 17 pH-responsive COFs. (A) I. Schematic diagram of chemical structure of DT-COF. II. Schematic representation of the loading of carboplatin. III. Drug release profiles of carboplatin-loaded DT-COF. IV. Formation of a hydrogen bond between carboplatin and DT-COF from DFT calculation. Reproduced from ref. 62 with permission from Microporous and Mesoporous Materials, Copyright 2020. (B) I. Schematic representation for preparing JUC-556-[HZ]X with E/Z isomerization. II. Release of Ara-C from the channels of JUC-556-[HZ]X in acidic solution. III. Drug release profiles and IV. reversibility of Ara-C-loaded JUC-556-[HZ]0.50 in a simulated cancer fluid. Reproduced from ref. 71 with permission from Small, Copyright 2021.

Fang's group constructed two 3D pH-triggered COFs based on a hydrazone derivative with E/Z interconversion, with the abbreviations of JUC-556-[HZ]x (Z) and JUC-556-[HZ]x (E), where x was the proportion of one of the linkers HZ (x = 0.25, 0.50, 0.75, or 1.00).71 These functionalized COFs were used for loading cytarabine (Ara-C) in a pH-responsive way. Specifically, the addition of acid (trifluoroacetic acid, TFA) or base (triethylamine, Et3N) induced E/Z isomerization in the dissociative HZ units, which could be inspected by UV-vis absorption spectroscopy, showing a characteristic absorption band at 249 nm for Z isomerization and 263 nm for E isomerization. Finally, JUC-556-[HZ]0.50 displayed the best performance in terms of drug release, which reached 74.56% in pH = 4.8 buffer within 72 h, while only 18.59% in pH = 7.4 buffer, as illustrated in Fig. 17(B).

5.2 Redox-responsive COFs

Cellular redox homeostasis provides a vital function for life and the normal physical activity of cells. Thus, tipping the redox balance may be beneficial to get rid of harmful cells. Based on this idea, COFs with particular building blocks have been designed and fabricated, which are sensitive to the overexpressed GSH in the TME. The protonation and oxidation of disulfide or diselenium groups in COFs tend to initiate drug release upon exposure to GSH. Zhang's group firstly proposed a GSH-responsive COF (denoted as F68@SS-COF) using commercially available disulfide-bearing building blocks to efficiently encapsulate and deliver DOX.64 Due to the presence of rich disulfide bonds in COFs, F68@SS-COFs were expected to disintegrate in the presence of GSH, which was overexpressed in the tumor intracellular microenvironment. This was demonstrated by the experimental results, where the DOX release from F68@SS-COFs in the presence of GSH (over 90% in 24 h) was significantly higher than that in the absence of GSH (about 40% release in 24 h), as shown in Fig. 18(A).
image file: d3mh01492d-f18.tif
Fig. 18 Redox-responsive COFs. (A) Preparation of drug-loaded F68@SS-COFs and their intracellular GSH-responsive drug release. Reproduced from ref. 64 with permission from Macromolecular Rapid Communications, Copyright 2020. (B) Synthesis of 5-Fu⊂nano DSPP-COF and its treatment application, and the 5-Fu release behavior triggered by GSH with different concentrations. Reproduced from ref. 86 with permission from Chemical Science, Copyright 2023. (C) Preparation of matrine-loaded TPE-ss COF (TPE-ss COF@matrine) and intracellular GSH-responsive drug release. Reproduced from ref. 76 with permission from Small, Copyright 2022. (D) Schematic illustration of DiSe-Por-DOX for combination antitumor therapy and drug release curves with different conditions. Reproduced from ref. 80 with permission from Journal of Materials Chemistry B, Copyright 2022.

Recently, Dong's group constructed a host–guest supramolecular system (5-Fu⊂nano DSPP-COF) by immersing nano DSPP-COF in a 5-Fu methanol solution at room temperature for 24 h, and the loading content of 5-Fu was calculated to be around 0.86 μmol mg−1.86 The disulfide-involved DSPP-COF showed GSH-triggered biodegradability as expected, which was verified by the experimental results, where up to ∼96.9% of the encapsulated 5-Fu was released from 5-Fu⊂nano DSPP-COF with the external environment of a 10 mM GSH buffered solution, while only ∼11.3% 5-Fu was observed without GSH (Fig. 18(B)). In addition to TME that overexpresses GSH, the intracellular myocyte microenvironment also undergoes overexpression of GSH after ischemia-reperfusion injury. Thus, Huang et al. designed a redox-responsive COF (TPE-ss COF) as an effective drug delivery carrier for matrine, an anti-cryptosporidial drug.76 As shown in Fig. 18(C), the matrine-loaded TPE-ss COF composite (TPE-ss COF@matrine) exhibited an evident GSH-dependent release profile, where over 90% of loaded drugs was released from the COF within 80 h in response to the condition of pH = 5.0 and 10 mM GSH, while only about 30% or 10% release could be seen under pH = 5.0 or 7.4 in the same period.

Interestingly, Lou et al. prepared a diselenium-bridged COF (DiSe-Por-DOX) for the effective encapsulation and highly controlled release of DOX.80 When internalization in tumor cells, the disrupting of diselenium bonds (Se–Se) in the high GSH tumor internal environment could not only promote the release of DOX, but also boost the generation of intracellular ROS, which broke the redox homeostasis of cancer cells (Fig. 18(D)). As expected, the release of DOX increased with a decrease in acidity (pH = 7.4/6.5/5.5) or increase in the GSH concentration (0.1 mM to 10 mM) or combined condition.

5.3 Hypoxia-responsive COFs

It is well-known that hypoxia is a common pathological feature of most solid tumors. By taking advantage of oxygen-deficient property, COFs containing azo groups are easier to be degraded upon azo reductase, which was generated due to the stimulation of aggravated hypoxia, resulting in the release of the encapsulated drugs. For example, Ge et al. firstly prepared a hypoxia-responsive COF (TA-COF-P@CT) by incorporating azobenzene groups in the COF skeleton, and further dual-loaded chlorin e6 (Ce6) and tirapazamine (TPZ), where the former is a photodynamic therapeutic agent and the latter is a hypoxia-activated anticancer prodrug.68 As shown in Fig. 19, the size distribution of the TB-COF-P@CT solution remained unchanged (Fig. 19-II); however, it changed to a triple peak from the original single peak for the TA-COF-P@CT solution (Fig. 19-III) under the same condition. Compared with TB-COF-P@CT, which had no AZO group, the spherical structure of TA-COF-P@CT was destroyed in sodium hydrosulfite (Na2S2O4) solution, which worked as a biomimetic azo reductase, strongly supporting the hypoxia-responsive feature of TA-COF-P@CT.
image file: d3mh01492d-f19.tif
Fig. 19 Hypoxia-responsive COFs. (I) Process for the synthesis of TA-COF-P@CT for light-activated hypoxia-sensitive cancer treatment. Hydrodynamic size distribution and TEM images (inset) of (II) TB-COF-P@CT and (III) TA-COF-P@CT before and after the treatment with Na2S2O4. Reproduced from ref. 68 with permission from Nano Letters, Copyright 2021.

5.4 Protein-responsive COFs

Drug molecules get into the layers of 2D COFs, resulting in their intercalation and storage; however, when they are exposed to the biological environment, which contains serum, the albumin can insert in the COF layers, and followed by the exfoliation of the COF layers, ultimately triggering sustained drug release. For example, Subhajit et al. synthesized a perylene-based COF (PER@PDA-COF-1), which acted as an effective carrier for the delivery of an anticancer drug mitoxantrone (MXT).79 The presence of the perylene-like structure could offer a π-electron-rich net layer by layer, and the electrophilic guest molecule MXT could serve as an intercalant between the perylene-comprised 2D layers. Thus, the donor–acceptor interaction between COF and MXT made the whole system strong enough to avoid the premature leakage of MXT from MXT-PER@PDA-COF-1. However, with the additive of albumin, the time-dependent and concentration-dependent intracellular release of MXT was observed, which was attributed to the formation of a protein corona around the exfoliated COF crystallites, followed by the sustained release of MXT from the COF into cancer cells (Fig. 20).
image file: d3mh01492d-f20.tif
Fig. 20 Protein-responsive COFs. I. Process for the synthesis of PER@PDA-COF-1 and its structure. II. Donor–acceptor based strategy for the loading of bio-actives and albumin-triggered cellular release. III. Schematic representation of albumin-triggered mitoxantrone (MXT) release from the porous host PER@PDA-COF-1. IV. DLS profile of PER@PDA-COF-1 in the presence of different concentrations of albumin. V. Time-dependent drug release profiles of MXT-PER@PDA-COF-1 alone and HAS-MXT-PER@PDA-COF-1 nano-formulations with different albumin concentrations. Reproduced from ref. 79 with permission from Chemical Science, Copyright 2022.

5.5 Photo-responsive COFs

Some COFs with particular cross-linkers can firstly produce 1O2 because of their photo-response, followed by a cascade reaction, which releases the encapsulated drugs due to the destruction of the 1O2-cleavable thioketal linker by the 1O2 generated in the previous step. In conclusion, photo-responsive COFs need to meet two conditions, as follows: (1) a photosensitizer-like linker that can be generated under laser, e.g., porphyrin-based structure and (2) a thioketal-like linker that is sensitive to 1O2. For example, He and co-workers synthesized a nanoscale COF using two linkers including a porphyrin-based monomer tetra(4-hydroxyphenyl)porphine (THPP) and a thioketal-containing monomer, to further load the hypoxia-responsive prodrug banoxantrone (AQ4N) with a high loading (termed AQ4N@THPPTK-PEG NPs).77 Due to the presence of the porphyrin structure, which functioned as a photosensitizer, it was easy for AQ4N@THPPTK-PEG NPs to generate 1O2. Subsequently, the self-generated 1O2 could break the thioketal linker, and thus allowed the release of AQ4N. In particular, the release of AQ4N showed a laser power density-dependent pattern. When exposed to a 660 nm laser, the release of AQ4N increased to 78.79% within 4 h, compared with only 8.87% after 24 h without a 660 nm laser (Fig. 21(A)). Similarly, Dong's group also reported the preparation of a dithioketal-linked COF for loading of DC_AC50, and the obtained DC_AC50@nano TKPP-COF realized the combination of tumor PDT and chemotherapy.133 Upon 660 nm laser irradiation, it displayed excellent 1O2 generation ability, and therefore reacted with the dithioketal linkers of the COF skeleton to realize rapid ROS-triggered DC_AC50 release. The release rate was up to 95.2% in 36 h at 200 mW cm−2 and 97.7% in 12 h under 600 mW cm−2, whereas only 15.8% in 48 h under the dark condition (Fig. 21(B)).
image file: d3mh01492d-f21.tif
Fig. 21 Photo-responsive COFs. (A) Process for the synthesis of AQ4N@THPPTK-PEG NPs and their combined chemotherapy and photodynamic therapy effects and photo-responsive release behavior under 660 nm laser irradiation. Reproduced from ref. 77 with Acta Biomaterialia, Copyright 2022. (B) Preparation of DC_AC50@nano TKPP-COF and its “on–off” photo-responsive release behavior under 660 nm laser irradiation. Reproduced from ref. 133 with Chemical Communications, Copyright 2023.

6. Summary and outlook

The large numbers of studies summarized here illustrated that nanoscale COFs are attracting increasing attention in the field of bioactive delivery because of their unique features including crystallinity and porous structure, efficient loading and controlled release, biocompatibility and biodegradability. Different types of cargos have been embedded in the pores COFs or linked with the COF skeleton using various strategies. The most commonly reported method involves a two-step encapsulation process, comprised of COF synthesis and activation, followed by drug impregnation inside the pores as long as the size of the drugs fits well. However, for the immobilization of biomacromolecules, especially enzymes, more efforts are focused on the one-step encapsulation or hollow encapsulation process. In addition, the covalent binding approach is also a powerful strategy, although it needs a certain amount of bondable active sites for both COFs and cargos. Finally, the coordination bonding strategy is irreplaceable for anchoring metal ions on COFs. To date, several tailored COF-based hybrid composites have been constructed for diverse applications; however, not many have been reported for biomedicine. In this case, there is still room for improving the integration of COFs with other materials.

A variety of stimuli-responsive COFs that can be activated by diverse stimuli including pH, GSH, hypoxia, albumin and light was discussed in this review. For example, imine-based COFs condensed through the Schiff-base reaction have attracted the most attention for pH-responsive release due to the pH-sensitivity of their imine bonds. In addition, by introducing S–S or Se–Se bonds, the spontaneous redox reactions between materials and the microenvironment make GSH-response possible. Similarly, the hypoxia-response is achievable through the introduction of azo bonds in COFs. Furthermore, in the case of 2D COFs for DDS, the layer-by layer exfoliating strategy seems to be a powerful method for controlled release when using a specific protein exfoliating agent.

Based on the current research status, there are still many challenges associated with COFs in bio-applications. Firstly, from the perspective of COF synthesis, more efforts should devoted to obtaining high-quality nanoscale COFs, especially for high crystallinity and porosity. The lack of finite porosity and functionality may result in potential flaws. Secondly, COFs need to be stable enough to carry their entrapped cargos to the biological targets to avoid trigger leakage, causing toxicological effects. Thirdly, there is little or no research on the in vitro or in vivo pharmacokinetics of COFs. The investigation of possible cumulative and chronic toxicity of monomers degraded from COFs has not been formulated. Fourthly, there is indeed a long way to go before translating basic research results into clinical practice.

In conclusion, the library of COFs that are suitable for the integration and delivery of cargos is growing as research proceeds, and it will continue to be an attractive and challenging research field. We hope that this review article will inspire follow-up studies on COFs for the integration, delivery and controlled release of bioactives.

Conflicts of interest

The authors declare no potential conflicts of interest.

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (T2222021, 32025021, 31971292, and 32011530115), the Key R&D Program of Zhejiang Province (2020C03110), the Science & Technology Bureau of Ningbo City (2020Z094, 2021Z072) and Excellent Member of Youth Innovation Promotion Association Foundation of CAS (Y2021079). The authors also acknowledged Shanghai Synchrotron Radiation Facility at BL19U2 used for small-angle X-ray scattering.

References

  1. E. Ploetz, H. Engelke, U. Lächelt and S. Wuttke, Adv. Funct. Mater., 2020, 30, 1909062 CrossRef CAS.
  2. H. S. Sasmal, A. Kumar Mahato, P. Majumder and R. Banerjee, J. Am. Chem. Soc., 2022, 144, 11482–11498 CrossRef CAS PubMed.
  3. W. Zhang, L. Chen, S. Dai, C. Zhao, C. Ma, L. Wei, M. Zhu, S. Y. Chong, H. Yang, L. Liu, Y. Bai, M. Yu, Y. Xu, X. W. Zhu, Q. Zhu, S. An, R. S. Sprick, M. A. Little, X. Wu, S. Jiang, Y. Wu, Y. B. Zhang, H. Tian, W. H. Zhu and A. I. Cooper, Nature, 2022, 604, 72–79 CrossRef CAS PubMed.
  4. Y. G. Hui, Z. Zhe, Y. C. Cong, S. X. Song and W. Yong, Chin. J. Polym. Sci., 2022, 40, 338–344 CrossRef.
  5. A. M. Vargason, A. C. Anselmo and S. Mitragotri, Nat. Biomed. Eng., 2021, 5, 951–967 CrossRef PubMed.
  6. Z. Zhao, W. Wang, C. Li, Y. Zhang, T. Yu, R. Wu, J. Zhao, Z. Liu, J. Liu and H. Yu, Adv. Funct. Mater., 2019, 29, 1905013 CrossRef CAS.
  7. S. Mallakpour, E. Nikkhoo and C. M. Hussain, Coord. Chem. Rev., 2022, 451, 214262 CrossRef CAS.
  8. Y. Cao, X. Ge, X. Zhu, Y. Han, P. Wang, O. U. Akakuru, A. Wu and J. Li, Adv. Sci., 2023, 10, e2300545 CrossRef PubMed.
  9. Y. Hu, L. Dai, D. Liu, W. Du and Y. Wang, Renewable Sustainable Energy Rev., 2018, 91, 793–801 CrossRef CAS.
  10. Y. Zhao, Y. Liang, D. Wu, H. Tian, T. Xia, W. Wang, W. Xie, X. M. Hu, X. Tian and Q. Chen, Small, 2022, e2107750 CrossRef PubMed.
  11. S. Maiti, A. R. Chowdhury and A. K. Das, ChemNanoMat, 2019, 6, 99–106 CrossRef.
  12. L. Zhang, R. Bu, X.-Y. Liu, P.-F. Mu and E.-Q. Gao, Green Chem., 2021, 23, 7620–7629 RSC.
  13. L.-G. Ding, B.-J. Yao, F. Li, S.-C. Shi, N. Huang, H.-B. Yin, Q. Guan and Y.-B. Dong, J. Mater. Chem. A, 2019, 7, 4689–4698 RSC.
  14. O. F. Altundal, C. Altintas and S. Keskin, J. Mater. Chem. A, 2020, 8, 14609–14623 RSC.
  15. P. Das and S. K. Mandal, Chem. Mater., 2019, 31, 1584–1596 CrossRef CAS.
  16. H. Zhang and H. Li, J. Mater. Chem. C, 2022, 10, 13834–13843 RSC.
  17. X. F. Liu, H. Chen, R. Wang, S. Q. Zang and T. C. W. Mak, Small, 2020, 16, e2002932 CrossRef PubMed.
  18. Z. Xie, B. Wang, Z. Yang, X. Yang, X. Yu, G. Xing, Y. Zhang and L. Chen, Angew. Chem., Int. Ed., 2019, 58, 15742–15746 CrossRef CAS PubMed.
  19. Y. Shi, J. Yang, F. Gao and Q. Zhang, ACS Nano, 2023, 17, 1879–1905 CrossRef CAS PubMed.
  20. A. Mal, H. Ding, M. Li, W. Li and C. Wang, ACS Appl. Nano Mater., 2022, 5, 13972–13984 CrossRef CAS.
  21. X. Wang, D. A. Lewis, G. Wang, T. Meng, S. Zhou, Y. Zhu, D. Hu, S. Gao and G. Zhang, Adv. Ther., 2022, 5, 2200053 CrossRef CAS.
  22. L. Wang, H. Xie, Y. Lin, M. Wang, L. Sha, X. Yu, J. Yang, J. Zhao and G. Li, Biosens. Bioelectron., 2022, 217, 114668 CrossRef CAS PubMed.
  23. Y. Zhang, X. Xu, Q. Liao, Q. Wang, Q. Han, P. Chen and K. Xi, J. Mater. Chem. B, 2022, 10, 3285–3292 RSC.
  24. L. Zhang, Y. Xiao, Q. C. Yang, L. L. Yang, S. C. Wan, S. Wang, L. Zhang, H. Deng and Z. J. Sun, Adv. Funct. Mater., 2022, 32, 2201542 CrossRef CAS.
  25. M. Wang, M. Ballabio, M. Wang, H. H. Lin, B. P. Biswal, X. Han, S. Paasch, E. Brunner, P. Liu, M. Chen, M. Bonn, T. Heine, S. Zhou, E. Canovas, R. Dong and X. Feng, J. Am. Chem. Soc., 2019, 141, 16810–16816 CrossRef CAS PubMed.
  26. M. Siebels, C. Schlüsener, J. Thomas, Y.-X. Xiao, X.-Y. Yang and C. Janiak, J. Mater. Chem. A, 2019, 7, 11934–11943 RSC.
  27. P. Kuhn, M. Antonietti and A. Thomas, Angew. Chem., Int. Ed., 2008, 47, 3450–3453 CrossRef CAS PubMed.
  28. B. Diaz de Grenu, J. Torres, J. Garcia-Gonzalez, S. Munoz-Pina, R. de Los Reyes, A. M. Costero, P. Amoros and J. V. Ros-Lis, ChemSusChem, 2021, 14, 208–233 CrossRef CAS PubMed.
  29. W. Zhao, P. Yan, H. Yang, M. Bahri, A. M. James, H. Chen, L. Liu, B. Li, Z. Pang, R. Clowes, N. D. Browning, J. W. Ward, Y. Wu and A. I. Cooper, Nat., Synth., 2022, 1, 87–95 CrossRef.
  30. D. Wang, L. Lin, T. Li, M. Meng, K. Hao, Z. Guo, J. Chen, H. Tian and X. Chen, Adv. Mater., 2022, e2205924 CrossRef PubMed.
  31. R. Xia, C. Li, X. Yuan, Q. Wu, B. Jiang and Z. Xie, ACS Appl. Mater. Interfaces, 2022, 14, 19129–19138 CrossRef CAS PubMed.
  32. X. Shi, L. Yi and H. Deng, Sci. China: Chem., 2022, 65, 1315–1320 CrossRef CAS.
  33. D. Zhu, Z. Zhang, L. B. Alemany, Y. Li, N. Nnorom, M. Barnes, S. Khalil, M. M. Rahman, P. M. Ajayan and R. Verduzco, Chem. Mater., 2021, 33, 3394–3400 CrossRef.
  34. X. Li, T. Goto, K. Nomura, M. Zhu, T. Sekino and Y. Osakada, Appl. Surf. Sci., 2020, 513, 145720 CrossRef CAS.
  35. S. Kandambeth, K. Dey and R. Banerjee, J. Am. Chem. Soc., 2019, 141, 1807–1822 CrossRef CAS PubMed.
  36. X. Wang, P. She and Q. Zhang, Smart Mater., 2021, 2, 299–325 CAS.
  37. J. Yuan, X. You, N. A. Khan, R. Li, R. Zhang, J. Shen, L. Cao, M. Long, Y. Liu, Z. Xu, H. Wu and Z. Jiang, Nat. Commun., 2022, 13, 3826 CrossRef CAS PubMed.
  38. S. Das, T. Sekine, H. Mabuchi, T. Irie, J. Sakai, Y. Zhao, Q. Fang and Y. Negishi, ACS Appl. Mater. Interfaces, 2022, 14, 48045–48051 CrossRef CAS PubMed.
  39. S. K. Das, S. Roy, A. Das, A. Chowdhury, N. Chatterjee and A. Bhaumik, Nanoscale Adv., 2022, 4, 2313–2320 RSC.
  40. Z. Han, Y. Qian, X. Gao, D. Yang, Y. Cai, Y. Chen, J. Jin and Z. Yang, Colloids Surf., B, 2023, 222, 113094 CrossRef CAS PubMed.
  41. Q. Guan, L. L. Zhou and Y. B. Dong, Adv. Ther., 2021, 5, 2100177 CrossRef.
  42. S. Liu, C. Hu, Y. Liu, X. Zhao, M. Pang and J. Lin, Chemistry, 2019, 25, 4315–4319 CrossRef CAS PubMed.
  43. Y. Zou, P. Wang, A. Zhang, Z. Qin, Y. Li, Y. Xianyu and H. Zhang, ACS Appl. Mater. Interfaces, 2022, 14, 8680–8692 CrossRef CAS PubMed.
  44. H. Chao, Z. Zhou, W. He, M. Li, X. Yuan, P. Su, J. Song and Y. Yang, ACS Appl. Mater. Interfaces, 2022, 14, 20641–20651 CrossRef CAS PubMed.
  45. C. Du, W. Na, M. Shao, S. Shang, Y. Liu and J. Chen, Chem. Mater., 2023, 35, 1395–1403 CrossRef CAS.
  46. M. Li, S. Qiao, Y. Zheng, Y. H. Andaloussi, X. Li, Z. Zhang, A. Li, P. Cheng, S. Ma and Y. Chen, J. Am. Chem. Soc., 2020, 142, 6675–6681 CrossRef CAS PubMed.
  47. S. Liu, K. Dou, B. Liu, M. Pang, P. Ma and J. Lin, Angew. Chem., Int. Ed., 2023, 135, e202301831 CrossRef.
  48. S. Mitra, H. S. Sasmal, T. Kundu, S. Kandambeth, K. Illath, D. Diaz Diaz and R. Banerjee, J. Am. Chem. Soc., 2017, 139, 4513–4520 CrossRef CAS PubMed.
  49. Z. Mi, P. Yang, R. Wang, J. Unruangsri, W. Yang, C. Wang and J. Guo, J. Am. Chem. Soc., 2019, 141, 14433–14442 CrossRef CAS PubMed.
  50. Q. Guan, D. D. Fu, Y. A. Li, X. M. Kong, Z. Y. Wei, W. Y. Li, S. J. Zhang and Y. B. Dong, iScience, 2019, 14, 180–198 CrossRef CAS PubMed.
  51. L. L. Zhou, Q. Guan, W. Y. Li, Z. Zhang, Y. A. Li and Y. B. Dong, Small, 2021, 17, e2101368 CrossRef PubMed.
  52. P. Gao, T. Zheng, B. Cui, X. Liu, W. Pan, N. Li and B. Tang, Chem. Commun., 2021, 57, 13309–13312 RSC.
  53. S. Liu, Y. Zhou, C. Hu, L. Cai and M. Pang, ACS Appl. Mater. Interfaces, 2020, 12, 43456–43465 CrossRef CAS PubMed.
  54. L. Zhang, Q. C. Yang, S. Wang, Y. Xiao, S. C. Wan, H. Deng and Z. J. Sun, Adv. Mater., 2021, 34, e2108174 CrossRef PubMed.
  55. Q. Fang, J. Wang, S. Gu, R. B. Kaspar, Z. Zhuang, J. Zheng, H. Guo, S. Qiu and Y. Yan, J. Am. Chem. Soc., 2015, 137, 8352–8355 CrossRef CAS PubMed.
  56. L. Bai, S. Z. Phua, W. Q. Lim, A. Jana, Z. Luo, H. P. Tham, L. Zhao, Q. Gao and Y. Zhao, Chem. Commun., 2016, 52, 4128–4131 RSC.
  57. Y. Luo, J. Liu, Y. Liu and Y. Lyu, J. Polym. Sci., Part A: Polym. Chem., 2017, 55, 2594–2600 CrossRef CAS.
  58. G. Zhang, X. Li, Q. Liao, Y. Liu, K. Xi, W. Huang and X. Jia, Nat. Commun., 2018, 9, 2785 CrossRef PubMed.
  59. Q. Guan, L. L. Zhou, Y. A. Li, W. Y. Li, S. Wang, C. Song and Y. B. Dong, ACS Nano, 2019, 13, 13304–13316 CrossRef CAS PubMed.
  60. N. Mokhtari, S. Taymouri, M. Mirian and M. Dinari, J. Mol. Liq., 2019, 297, 111898 CrossRef.
  61. K. Wang, Z. Zhang, L. Lin, K. Hao, J. Chen, H. Tian and X. Chen, ACS Appl. Mater. Interfaces, 2019, 11, 39503–39512 CrossRef CAS PubMed.
  62. L. Akyuz, Microporous Mesoporous Mater., 2020, 294, 109850 CrossRef CAS.
  63. Y. Jia, L. Zhang, B. He, Y. Lin, J. Wang and M. Li, Mater. Sci. Eng., C, 2020, 117, 111243 CrossRef CAS PubMed.
  64. S. Liu, J. Yang, R. Guo, L. Deng, A. Dong and J. Zhang, Macromol. Rapid Commun., 2020, 41, e1900570 CrossRef PubMed.
  65. B. Wang, X. Liu, P. Gong, X. Ge, Z. Liu and J. You, Chem. Commun., 2020, 56, 519–522 RSC.
  66. C. Wang, H. Liu, S. Liu, Z. Wang and J. Zhang, Front. Chem., 2020, 8, 488 CrossRef CAS PubMed.
  67. S. B. Wang, Z. X. Chen, F. Gao, C. Zhang, M. Z. Zou, J. J. Ye, X. Zeng and X. Z. Zhang, Biomaterials, 2020, 234, 119772 CrossRef CAS PubMed.
  68. L. Ge, C. Qiao, Y. Tang, X. Zhang and X. Jiang, Nano Lett., 2021, 21, 3218–3224 CrossRef CAS PubMed.
  69. Q. Sun, K. Tang, L. Song, Y. Li, W. Pan, N. Li and B. Tang, Biomater. Sci., 2021, 9, 7977–7983 RSC.
  70. R. Anbazhagan, R. Krishnamoorthi, S. Kumaresan and H. C. Tsai, Mater. Sci. Eng., C, 2021, 120, 111704 CrossRef CAS PubMed.
  71. W. Zhao, C. Yu, J. Zhao, F. Chen, X. Guan, H. Li, B. Tang, G. Yu, V. Valtchev, Y. Yan, S. Qiu and Q. Fang, Small, 2021, 17, e2102630 CrossRef PubMed.
  72. W. Wang, Y. Song, J. Chen, Y. Yang, J. Wang, Y. Song, J. Ni, M. Tang, J. Zhao, Y. Sun, T. Sun and J. Peng, J. Mater. Chem. B, 2022, 10, 1128–1135 RSC.
  73. L. Liao, Z. Zhang, X. Guan, H. Li, Y. Liu, M. Zhang, B. Tang, V. Valtchev, Y. Yan, S. Qiu, X. Yao and Q. Fang, Chin. J. Chem., 2022, 40, 2081–2088 CrossRef CAS.
  74. Y. Wang, X. Sun and Y. Wang, RSC Adv., 2022, 12, 16046–16050 RSC.
  75. B. Ma, Y. Xu, F. Hu, L. Zhai, Y. Huang, H. Qiao, J. Xiong, D. Yang, Z. Ni, X. Zheng and L. Mi, RSC Adv., 2022, 12, 31276–31281 RSC.
  76. C. Huang, S. Zhou, C. Chen, X. Wang, R. Ding, Y. Xu, Z. Cheng, Z. Ye, L. Sun, Z. J. Wang, D. Hu, X. Jia, G. Zhang and S. Gao, Small, 2022, 18, e2205062 CrossRef PubMed.
  77. H. He, L. Du, H. Xue, J. Wu and X. Shuai, Acta Biomater., 2022, 149, 297–306 CrossRef CAS PubMed.
  78. D. Dutta, J. Wang, X. Li, Q. Zhou and Z. Ge, Small, 2022, 18, e2202369 CrossRef PubMed.
  79. S. Bhunia, P. Saha, P. Moitra, M. A. Addicoat and S. Bhattacharya, Chem. Sci., 2022, 13, 7920–7932 RSC.
  80. H. Lou, L. Chu, W. Zhou, J. Dou, X. Teng, W. Tan and B. Zhou, J. Mater. Chem. B, 2022, 10, 7955–7966 RSC.
  81. L. Zhang, Y. Jia, H. Hao, M. Wang and J. Wang, Microporous Mesoporous Mater., 2022, 344, 112198 CrossRef CAS.
  82. K. Yao, X. Liang, G. Zhang, Y. Rong, Q. Zhang, Q. Liao, H. Zhang, K. Xi and J. Wang, Polymers, 2022, 14, 3265 CrossRef CAS PubMed.
  83. Q. Du, J. Zou, Z. Huang, S. Li, L. Tan, X. Ren, G. Yin, Y. Zheng and X. Meng, Chin. Chem. Lett., 2022, 34, 107763 CrossRef.
  84. L. Yao, Z. Zhou, S. Wang, Q. Zou, H.-X. Wang, L.-X. Ma, S. Wang and X. Zhang, Chem. Sci., 2022, 13, 5902–5912 RSC.
  85. Y. Zhao, S. Das, T. Sekine, H. Mabuchi, T. Irie, J. Sakai, D. Wen, W. Zhu, T. Ben and Y. Negishi, Angew. Chem., Int. Ed., 2023, e202300172 CAS.
  86. W. Y. Li, J. J. Wan, J. L. Kan, B. Wang, T. Song, Q. Guan, L. L. Zhou, Y. A. Li and Y. B. Dong, Chem. Sci., 2023, 14, 1453–1460 RSC.
  87. S. Zhang, S. Xia, L. Chen, Y. Chen and J. Zhou, Adv. Sci., 2023, 10, e2206009 CrossRef PubMed.
  88. S. Kandambeth, V. Venkatesh, D. B. Shinde, S. Kumari, A. Halder, S. Verma and R. Banerjee, Nat. Commun., 2015, 6, 6786 CrossRef CAS PubMed.
  89. S. Zhang, Y. Zheng, H. An, B. Aguila, C. X. Yang, Y. Dong, W. Xie, P. Cheng, Z. Zhang, Y. Chen and S. Ma, Angew. Chem., Int. Ed., 2018, 57, 16754–16759 CrossRef CAS PubMed.
  90. Q. Sun, C. W. Fu, B. Aguila, J. Perman, S. Wang, H. Y. Huang, F. S. Xiao and S. Ma, J. Am. Chem. Soc., 2018, 140, 984–992 CrossRef CAS PubMed.
  91. A. Samui, Happy and S. K. Sahu, Microporous Mesoporous Mater., 2020, 291, 109700 CrossRef CAS.
  92. P. Gao, M. Wang, Y. Chen, W. Pan, P. Zhou, X. Wan, N. Li and B. Tang, Chem. Sci., 2020, 11, 6882–6888 RSC.
  93. Y. Zhou, S. Liu, C. Hu, L. Cai and M. Pang, J. Mater. Chem. B, 2020, 8, 5451–5459 RSC.
  94. G. Zhang, Y. Ji, X. Li, X. Wang, M. Song, H. Gou, S. Gao and X. Jia, Adv. Healthcare Mater., 2020, 9, e2000221 CrossRef PubMed.
  95. F. Benyettou, N. Kaddour, T. Prakasam, G. Das, S. K. Sharma, S. A. Thomas, F. Bekhti-Sari, J. Whelan, M. A. Alkhalifah, M. Khair, H. Traboulsi, R. Pasricha, R. Jagannathan, N. Mokhtari-Soulimane, F. Gandara and A. Trabolsi, Chem. Sci., 2021, 12, 6037–6047 RSC.
  96. X. Wan, H. Zhang, W. Pan, N. Li and B. Tang, Chem. Commun., 2021, 57, 5402–5405 RSC.
  97. P. Gao, R. Wei, Y. Chen, X. Liu, J. Zhang, W. Pan, N. Li and B. Tang, Anal. Chem., 2021, 93, 13734–13741 CrossRef CAS PubMed.
  98. P. Gao, K. Tang, R. Lou, X. Liu, R. Wei, N. Li and B. Tang, Anal. Chem., 2021, 93, 12096–12102 CrossRef CAS PubMed.
  99. Y. Cao, J. Zhang, L. Wang, M. Cen, W. Peng, Y. Li, F. Zhang, J. Tan and X. Fan, ACS Appl. Nano Mater., 2021, 4, 4948–4955 CrossRef CAS.
  100. C. Xing, P. Mei, Z. Mu, B. Li, X. Feng, Y. Zhang and B. Wang, Angew. Chem., Int. Ed., 2022, 61, e202201378 CrossRef CAS PubMed.
  101. J. Lu, Y. Han, K. Wang, Y. Zhang, J. Li, Y. Xu, L. Sun, J. Yang and G. Li, Anal. Chem., 2022, 94, 15139–15145 CrossRef CAS PubMed.
  102. T. Li, D. Deng, D. Tan, S. Chen, Y. Ji and R. Li, Anal. Bioanal. Chem., 2022, 414, 6247–6257 CrossRef CAS PubMed.
  103. J. Lu, M. Wang, Y. Han, Y. Deng, Y. Zeng, C. Li, J. Yang and G. Li, Anal. Chem., 2022, 94, 5055–5061 CrossRef CAS PubMed.
  104. Y. Lin, Y. Deng, M. Wang, T. Zhou, L. Wang, J. Ma and J. Yang, Talanta, 2023, 253, 124043 CrossRef CAS.
  105. Q. Ren, H. Chen, Y. Chen, Z. Song, S. Ouyang, S. Lian, J. Tao, Y. Song and P. Zhao, ACS Appl. Mater. Interfaces, 2023, 15, 4947–4958 CrossRef CAS PubMed.
  106. C. Zhong, G. Li, W. Tian, D. Ouyang, Y. Ji, Z. Cai and Z. Lin, ACS Appl. Mater. Interfaces, 2023, 15, 10158–10165 CrossRef CAS PubMed.
  107. Y. Zhang, C. Xing, Z. Mu, Z. Niu, X. Feng, Y. Zhang and B. Wang, J. Am. Chem. Soc., 2023, 145, 13469–13475 CrossRef CAS PubMed.
  108. B. Sun, F. Wu, X. Wang, Q. Song, Z. Ye, M. Mohammadniaei, M. Zhang, X. Chu, S. Xi, N. Zhou, W. Wang, C. Yao and J. Shen, Small, 2022, 18, e2200895 CrossRef PubMed.
  109. S. Gan, X. Tong, Y. Zhang, J. Wu, Y. Hu and A. Yuan, Adv. Funct. Mater., 2019, 29, 1902757 CrossRef CAS.
  110. K. Hao, Z. Guo, L. Lin, P. Sun, Y. Li, H. Tian and X. Chen, Sci. China: Chem., 2021, 64, 1235–1241 CrossRef CAS.
  111. J. Chen, Y. Wang, Y. Yu, J. Wang, J. Liu, H. Ihara and H. Qiu, Exploration, 2023, 3, 20220144 CrossRef PubMed.
  112. M. Wang, Y. Pan, S. Wu, Z. Sun, L. Wang, J. Yang, Y. Yin and G. Li, Biosens. Bioelectron., 2020, 169, 112638 CrossRef CAS PubMed.
  113. P. Gao, R. Wei, Y. Chen, X. Li, W. Pan, N. Li and B. Tang, Biomaterials, 2023, 297, 122109 CrossRef CAS PubMed.
  114. X. Liu, M. Hu, M. Wang, Y. Song, N. Zhou, L. He and Z. Zhang, Biosens. Bioelectron., 2019, 123, 59–68 CrossRef CAS PubMed.
  115. M. Xu, K. Chen, L. Zhu, S. Zhang, M. Wang, L. He, Z. Zhang and M. Du, Langmuir, 2021, 37, 13479–13492 CrossRef CAS PubMed.
  116. Y. Li, Z. Liu, W. Lu, M. Zhao, H. Xiao, T. Hu, J. Ma, Z. Zheng, J. Jia and H. Wu, Analyst, 2021, 146, 979–988 RSC.
  117. S. Li, Z. Chen, L. Tan, Q. Wu, X. Ren, C. Fu, M. Niu, H. Li and X. Meng, Biomaterials, 2022, 283, 121472 CrossRef CAS PubMed.
  118. P. Wang, M. Li, F. Zhou, Y. Yang, X. Yin, X. Zhang and G. Song, Chem. Commun., 2022, 58, 11107–11110 RSC.
  119. R. Yuan, Z. Yan and H. He, Appl. Surf. Sci., 2022, 573, 151556 CrossRef CAS.
  120. Y. Zhou, S. Jing, S. Liu, X. Shen, L. Cai, C. Zhu, Y. Zhao and M. Pang, J. Nanobiotechnol., 2022, 20, 188 CrossRef CAS PubMed.
  121. H. Liang, G. Ning, L. Wang, C. Li, J. Zheng, J. Zeng, H. Zhao and C.-P. Li, ACS Appl. Nano Mater., 2021, 4, 4593–4601 CrossRef CAS.
  122. K. Zhao, P. Gong, J. Huang, Y. Huang, D. Wang, J. Peng, D. Shen, X. Zheng, J. You and Z. Liu, Microporous Mesoporous Mater., 2021, 311, 110713 CrossRef CAS.
  123. L. Wang, W. Gao, S. Ng and M. Pumera, Anal. Chem., 2021, 93, 5277–5283 CrossRef CAS PubMed.
  124. D. Liang, X. Zhang, Y. Wang, T. Huo, M. Qian, Y. Xie, W. Li, Y. Yu, W. Shi, Q. Liu, J. Zhu, C. Luo, Z. Cao and R. Huang, Bioact. Mater., 2022, 14, 145–151 CAS.
  125. H. Li, B. Kou, Y. Yuan, Y. Chai and R. Yuan, Biosens. Bioelectron., 2022, 197, 113758 CrossRef CAS PubMed.
  126. C. Fu, T. Lu, X. Dai, P. Ding, Y. Xiong, J. Ge and X. Li, ACS Appl. Mater. Interfaces, 2023, 15, 6859–6867 CrossRef CAS PubMed.
  127. Z. Lu, S. Bai, Y. Jiang, S. Wu, D. Xu, Y. Chen, Y. Lan, Y. An, J. Mao, X. Liu and G. Liu, Adv. Funct. Mater., 2022, 32, 2207749 CrossRef CAS.
  128. T. Huo, X. Zhang, M. Qian, H. Nie, D. Liang, C. Lin, Y. Yang, W. Guo, U. Lachelt and R. Huang, Adv. Sci., 2022, 9, e2200608 CrossRef PubMed.
  129. S. He, L. Wu, H. Sun, D. Wu, C. Wang, X. Ren, Q. Shao, P. York, J. Tong, J. Zhu, Z. Li and J. Zhang, ACS Appl. Mater. Interfaces, 2022, 14, 38421–38435 CrossRef CAS PubMed.
  130. M. C. Wang, J. X. Guo, L. J. Chen and X. Zhao, Biomater. Sci., 2023, 11, 1776–1784 RSC.
  131. S. Wang, Y. Pang, S. Hu, J. Lv, Y. Lin and M. Li, Chem. Eng. J., 2023, 451, 138864 CrossRef CAS.
  132. J. Feng, W.-X. Ren, F. Kong, C. Zhang and Y.-B. Dong, Sci. China Mater., 2021, 65, 1122–1133 CrossRef.
  133. W. Y. Li, J. L. Kan, J. J. Wan, Y. A. Li, T. Song, B. Wang, Q. Guan, L. L. Zhou and Y. B. Dong, Chem. Commun., 2023, 59, 5423–5426 RSC.

This journal is © The Royal Society of Chemistry 2024
Click here to see how this site uses Cookies. View our privacy policy here.