The appeal of MOFs begins with their architecture. Metal centers or clusters act as nodes, joined by organic linkers into extended three-dimensional crystalline networks whose pores can be adjusted with near-atomic precision. Because researchers can independently vary the metal, the linker and the functional groups decorating the pore walls, MOFs offer record-breaking internal surface areas, tunable pore sizes and a modular versatility that rigid inorganic adsorbents such as zeolites struggle to match. The review categorizes frameworks into rigid structures suited to molecular sieving, flexible or breathing frameworks whose unit cells expand and contract as guest molecules enter and leave, and surface-functionalized frameworks grafted with groups such as amines, sulfonates or carboxylates that dramatically alter adsorption affinity, hydrophobicity and stability. Open metal sites, generated when coordinated solvent molecules are stripped away during activation, add another handle for tuning performance; the copper framework HKUST-1, for example, adsorbs notably more carbon dioxide in the presence of a small amount of water.

A substantial portion of the review is devoted to how these materials are actually made, because the synthesis route shapes everything from crystallinity to cost. Solvothermal and hydrothermal methods remain the workhorses, producing highly crystalline frameworks such as MIL-101(Cr) and UiO-66, but they demand high temperatures and pressures, large volumes of organic solvents and long reaction times that limit scalability. Microwave-assisted synthesis slashes reaction times and yields uniform nanocrystals with high phase purity, yet scaling microwave equipment to industrial throughput is difficult. Sonochemistry accelerates nucleation with cavitation bubbles that momentarily reach thousands of kelvin, producing nanoscale MOFs with high surface areas, though controlling particle size distribution remains a challenge. Mechanochemical routes grind metal salts and linkers together in ball mills with little or no solvent, offering a genuinely green option at room temperature, at the cost of somewhat lower crystallinity. Electrochemical synthesis, first used by BASF to make HKUST-1 in 2005, supplies metal ions through anodic dissolution of a metal electrode, avoiding corrosive counterions and enabling continuous production. The authors conclude that no method is universally ideal: high crystallinity and tunability favor solvothermal chemistry, while green scalability increasingly points toward mechanochemical and continuous-flow techniques.

In the environmental arena, the review highlights MOFs as adsorbents and catalytic degradation platforms for three major classes of pollutants: synthetic dyes, heavy metals and emerging contaminants. Dye pollution is a serious concern because many residual dyes are carcinogenic and persist in water systems. Frameworks from the UiO, ZIF and MIL families, along with their composites, capture both cationic dyes such as methylene blue, rhodamine B and malachite green and anionic dyes such as methyl orange and congo red. The removal mechanisms operate in synergy: electrostatic attraction between oppositely charged dye molecules and framework surfaces, pi–pi stacking between the aromatic rings of dyes and the organic linkers, hydrogen bonding between surface functional groups and dye molecules, and size-selective pore filling. Because the surface charge of a MOF depends on solution pH and the functional groups present, researchers can engineer adsorbents that switch selectivity simply by decorating the pore walls.

Heavy metals present an even sterner test because they are non-biodegradable and toxic at low concentrations. MOFs bind Pb(II), Cr(VI), As(III/V) and Hg(II) through a combination of ion exchange, surface complexation, chelation, electrostatic interaction and redox conversion. Functionalization with thiol or amine groups markedly boosts selectivity for soft, highly toxic ions such as Hg(II), while redox-active iron-based frameworks can reduce toxic Cr(VI) to the far less hazardous Cr(III), coupling detoxification with immobilization. The review also emphasizes MOF-based membranes, formed when MOF crystals self-assemble on porous supports, which combine tunable pore sizes with high selectivity and recyclability for continuous water purification. The trade-offs are candidly acknowledged: MIL-101(Cr) offers enormous mesoporous cages that handle bulky dye and pharmaceutical molecules, but zirconium-based UiO-66 provides superior chemical robustness, and ZIF-8 resists water yet suffers from narrow pore apertures that restrict diffusion of large contaminants.

The second half of the review turns to biomedicine, where the requirements are far stricter than in industrial applications. An effective MOF drug carrier must encapsulate therapeutics at high loading, degrade in a controlled manner, release its cargo on demand, present acceptable toxicology and lend itself to surface engineering that dictates its fate in the body. MOFs meet these criteria in ways that conventional carriers such as liposomes, mesoporous silica and polymeric nanoparticles often cannot: their surface areas permit exceptionally high drug loading, pores of up to six nanometers accommodate molecules ranging from small-molecule drugs to peptides and large biomolecules, and their relatively weak coordination bonds allow the framework to decompose harmlessly and release its components. Loading can be achieved by diffusion into preformed crystals, by covalent attachment to the external surface, by in situ encapsulation during synthesis, or by using the drug itself as a ligand in framework construction.

Concrete examples illustrate the promise. A chiral zinc-based framework built from triazine-triisophthalate linkers absorbed the anticancer drug 5-fluorouracil through hydrogen bonding at a loading of 0.5 grams per gram and released it slowly over a week in buffered saline. In antibacterial applications, the iron framework MIL-53(Fe) physically loaded the glycopeptide antibiotic vancomycin to nearly 20 percent by weight and, under the acidic conditions that mimic a bacterial infection, released it in a controlled fashion that achieved 99.3 percent efficacy against Staphylococcus aureus while remaining biocompatible in vitro. ZIF-8 has been used to ferry the broad-spectrum cephalosporin ceftazidime, confirmed by element mapping in electron microscopy, and to co-deliver doxorubicin with the P-glycoprotein inhibitor verapamil in folate-targeted, PEG-coated particles that overcame multidrug resistance in tumor cells. A biomimetic nanoreactor combining ZIF-8 with the prodrug tirapazamine, the enzyme glucose oxidase and an erythrocyte membrane coating points toward cancer starvation therapy with improved delivery.

The range of biomedical uses continues to broaden. Copper nanowires sheathed in ZIF-8 slowed the release of antiviral copper ions, showed low cytotoxicity with 99 percent of kidney cells surviving after 48 hours, and were investigated against SARS-CoV-2 in infected cells; surface-functionalized MOFs bearing nystatin, folic acid or tenofovir can bind viral capsid proteins and immobilize viruses. Copper–BTC films grown directly on stent surfaces catalyze the production of nitric oxide from blood-borne s-nitroso-cysteine, improving blood compatibility, while MOF–polymer coatings have been shown to inhibit bacterial attachment to medical tubing under flow. Frameworks delivering ibuprofen to reduce brain inflammation or dopamine for neurological therapy, along with ATP-responsive zirconium systems, extend the concept into chronic disease management, although crossing the blood–brain barrier remains a formidable hurdle.

The review is refreshingly blunt about the obstacles that stand between laboratory success and clinical or industrial deployment. MOF toxicity, driven by metal ion release, particle size, shape and aggregation, can produce oxidative stress, inflammation and organ damage, and standardized toxicity testing protocols and long-term in vivo biocompatibility data are still lacking. Water stability in real treatment streams, biodegradability in physiological settings, regeneration and reuse of adsorbents, material costs and the reproducibility of green synthesis routes all demand further work. Compared with clinically established liposomes and hydrogels, MOFs carry biosafety uncertainty and more complex, expensive synthesis. Yet the trajectory is clear. With defect engineering, biocompatible metal choices, scalable continuous-flow production and rational linking of synthesis conditions to structure–performance relationships, the authors argue, these crystalline cages could become central platforms for sustainable water purification and personalized medicine alike, addressing some of the most pressing environmental and health challenges of the coming decades.

Subject of Research: Metal–organic frameworks for wastewater treatment and targeted drug delivery

Article Title: Emerging roles of metal organic frameworks in wastewater treatment and targeted drug delivery applications

Article References: Singh, P., Singh, G., Singh, C. K., Nitin, V., & Sodhi, K. K. (2026). Emerging roles of metal organic frameworks in wastewater treatment and targeted drug delivery applications. Discover Industrial Chemistry and Materials, 1(1), Article 12. https://doi.org/10.1007/s44508-026-00010-1

Image Credits: AI Generated

DOI: 10.1007/s44508-026-00010-1

Keywords: metal–organic frameworks, MOF synthesis, wastewater treatment, heavy metal adsorption, dye removal, drug delivery, targeted cancer therapy, biocompatibility, MOF membranes, stimuli-responsive release, antibacterial agents, water purification

MOFs are crystalline materials composed of metal ions or clusters interconnected by organic linkers, creating porous, highly ordered architectures that resemble molecular LEGO structures in their modularity and design flexibility. This architecture facilitates the periodic organization of functional sites, granting researchers immense control over the physical and chemical properties of these materials. Despite the wide interest in MOFs for catalytic processes, sensing technologies, and molecular separations, their potential for electrochromic applications is just beginning to be tapped. The main challenge lies in achieving precise control over their electrochromic behaviors to meet the sophisticated demands of next-generation electronics.

A breakthrough comes from the research group at Nankai University in China, spearheaded by Professor Jiandong Pang. Their innovative approach focuses on crafting a new electrochromic MOF platform using specialized organic linkers that incorporate naphthalene diimide (NDI) moieties. These primary linkers, termed R-linkers, are designed to impart a first set of electrochromic colors, referred to as “color 1.” Complementing them are various linear auxiliary linkers (X-linkers), which contribute a second palette, “color 2.” Unlike conventional methods that merely blend multiple electrochromic materials physically to combine color effects, this platform achieves a molecular-level integration of electrochromic cores within a single solid-state framework. This integration enables unprecedented multidirectional tunability of the material’s electrochromic properties.

The versatility of this system stems from the meticulous manipulation of its fundamental components and structural topology. By altering the chemical nature of the R-groups within the NDI-containing linkers, researchers can modulate the intensity and hue of “color 1,” offering fine control over the depth and strength of the electrochromic response. Likewise, varying the identity of the X-linkers allows the generation of distinct “color 2” shades, effectively broadening the spectrum of achievable colors. Moreover, modifications to the MOF’s topology influence the spatial arrangement and concentration of auxiliary linkers, effectively tuning the contribution of “color 2” by adjusting its relative abundance within the framework.

This triad of tunable parameters—R-group chemistry, X-linker selection, and MOF topology—establishes a sophisticated compositional and structural design space where electrochromic behavior can be precisely engineered. The capacity to systematically control the types, intensities, and dynamic mixing sequences of electrochromic colors within a single MOF solid exemplifies an innovative leap forward. Such control transcends the typical limitations of binary compound mixing, offering a platform intrinsically suited for the complexity demanded by modern, responsive electronic devices.

From a synthetic chemistry standpoint, the MOFs developed in this research maintain broad generalizability and reproducibility. The standardizable synthetic conditions across various R- and X-linkers enable facile scalability and further exploration. This practical aspect ensures the platform’s extensibility, allowing countless permutations of molecular components to create tailor-made electrochromic materials with application-specific properties.

The implications of this research stretch beyond fundamental science into practical technology development. Electrochromic MOFs designed with this approach are poised to enhance smart window technologies by providing more subtle and controllable tinting capabilities, potentially leading to significant energy savings in building environments. Additionally, the built-in modularity and precision could yield breakthroughs in adaptive displays that require rapid and reliable color changes at low energy costs. Anti-counterfeiting measures can also benefit from the molecular-level complexity that MOF electrochromics afford, enabling intricate color-shifting behaviors that are difficult to replicate through conventional means.

Moreover, this work highlights the broader trend of incorporating MOFs into the spectrum of smart electronics, emphasizing their multifunctional capabilities beyond established domains. The integration of redox-active linkers, such as those bearing naphthalene diimide, fuses electronic responsiveness with porous crystalline order, underpinning a new class of materials capable of complex electrochemical modulation. The systematic design philosophy adopted here reflects a promising direction for the field—a move towards multifunctional materials where electronic, optical, and structural properties can be finely tuned in unison.

Published in the esteemed National Science Review, this research underscores the potential of MOFs as tunable electrochromic materials, inviting further exploration into their vast, yet underutilized, capabilities in modern electronic systems. The combination of experimental rigor and visionary design sets a new benchmark for future developments in the field, promising to accelerate the advent of more adaptable, energy-efficient, and aesthetically versatile electronic devices. As the demand for sophisticated, multi-functional materials grows, platforms like this will be crucial for bridging molecular science and real-world applications.

For researchers and technologists eager to delve deeper, the full details of this study can be accessed through the Digital Object Identifier (DOI) 10.1093/nsr/nwaf326, connecting to comprehensive experimental data and analyses. This accessibility not only promotes transparency but also encourages collaborative efforts to further refine and harness MOF-based electrochromic technologies.

The work demonstrates how molecular-level ingenuity, combined with material engineering, can yield profound advancements. By constructing a versatile palette of electrochromic colors within a single framework, the Nankai University team has opened doors to novel functional materials with transformative potential across multiple technological domains. As these platforms mature, they are expected to integrate seamlessly into smart electronics, marking a significant stride toward more responsive, customizable, and energy-efficient devices of the future.

Subject of Research: Electrochromic metal-organic frameworks (MOFs) design and tunability for advanced smart electronics

Article Title: A New Electrochromic Metal-Organic Framework Platform Enabling Molecular-level Color Tunability

Web References:
10.1093/nsr/nwaf326

Image Credits: ©Science China Press

Keywords

Electrochromic materials, metal-organic frameworks, MOFs, naphthalene diimide, color tunability, smart electronics, adaptive surfaces, molecular design, redox-active linkers, material synthesis, energy-efficient color change, multifunctional materials

Covalent organic frameworks represent an emerging class of porous crystalline materials characterized by their modular assembly from organic building blocks via strong covalent bonds. Their structural tunability and potential for high stability position them as ideal candidates for applications in photonics and electronics. However, traditional trial-and-error approaches to COF discovery are severely hampered by the combinatorial explosion of possible building blocks, with each new amine and aldehyde combination potentially giving rise to novel properties. This experimental bottleneck has left many promising COFs unexplored, highlighting an urgent need for intelligent guidance.

Recognizing these challenges, an interdisciplinary team led by Zhang, Du, and Xie has engineered an AI-assisted interactive experimental evolution approach that bridges theoretical prediction and practical synthesis. This strategy intertwines machine learning-driven recommendations, hands-on experimental validation, and iterative model refinement in a dynamic feedback loop. By doing so, the AI system is not a mere passive predictor but an adaptive entity that evolves its predictive accuracy in tandem with real-world experimental outcomes. This synergy is particularly critical when targeting properties as nuanced as fluorescence quantum yield, which hinges on complex electronic interplay within the framework.

At the heart of this approach lies an expansive chemical library composed of 20 distinct amine and 26 aldehyde building blocks. Theoretically, these components could be assembled into 520 unique COFs, creating an expansive search space with immense experimental demands if traditional screening methods were employed. Astonishingly, the researchers were able to experimentally synthesize and evaluate just 11 COFs—roughly 2% of the total possible combinations—yet identify a standout material exhibiting a photoluminescence quantum yield exceeding 41%. This efficiency underscores the power of AI-guided prioritization in funneling experimentations toward the most promising candidates, saving invaluable resources while pushing the frontiers of material performance.

Integral to the success of this AI-assisted methodology is the innovative embedding of quantum chemical insights within the learning framework. Instead of relying solely on statistical correlations derived from chemical descriptors, the model assimilates electronic configuration data and quantum-level parameters, such as the spatial distribution of electron density and frontier molecular orbital energies. These inclusions allow the AI to transcend conventional intuition, incorporating a deeper chemical understanding that enhances both the robustness and interpretability of its predictions. By focusing on fundamental electronic factors, the model aligns with established chemical principles, bringing a new level of confidence to the discovery process.

The study’s findings extend far beyond mere material identification; they elucidate the underpinnings of fluorescence mechanisms in COFs. Through rigorous analysis, the researchers revealed how the alignment between the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energies plays a critical role in governing photoluminescence efficiency. Furthermore, the excited-state charge distribution within the COF architecture emerges as a determinant factor influencing emission intensity and stability. These insights not only guide future design strategies but also contribute vital knowledge to the broader field of photophysics within porous organic materials.

Methodologically, the interactive experiment–learning cycle employed in this research epitomizes an elegant convergence of AI and experimental chemistry. Initially, the AI model recommends a set of target COFs based on its current understanding of the chemical space. Researchers then synthesize and characterize these targets, feeding the resultant data back into the model for recalibration. Iterations proceed until the AI attains enhanced predictive power and a definitive material candidate is pinpointed. Such a workflow minimizes redundant experimentation and accelerates the journey from concept to application-ready discovery, exemplifying a new paradigm in materials research where human expertise and machine intelligence collaborate seamlessly.

Beyond fluorescence, the implications of this AI-empowered framework resonate broadly across materials science. Porous crystalline frameworks with tailored optoelectronic properties hold tremendous promise for technologies including light-emitting diodes, chemical sensors, and photovoltaic devices. By demonstrating that AI-driven exploratory cycles can effectively uncover high-performance COFs with unprecedented efficiency, the study charts a pathway toward expedited innovation in these critical technological sectors. Moreover, the interpretability imbued by quantum-informed learning ensures that discoveries are not black-box outputs but grounded in mechanistic understanding.

The innovation presented extends to how the model treats data fusion, integrating chemical intuition, quantum mechanics, and machine learning into a cohesive entity. This layered intelligence overcomes limitations faced by purely data-driven approaches, which may falter when extrapolating beyond known chemical spaces. By incorporating theoretical insights about electronic states and charge distributions, the AI becomes capable of reasoning about unseen materials with greater accuracy. This breakthrough paves the way for future material discovery pipelines that could seamlessly combine simulation, prediction, and experiment—a trifecta long dreamed of in computational materials design.

Importantly, the study also highlights the practical realities of applying AI in chemical research. The iterative nature of the experimental cycles acknowledges that models evolve through experience and are inherently dynamic. Rather than presenting AI as a magic bullet that replaces human trial, it frames the technology as an indispensable collaborator tuning its perspective through hands-on validation. This paradigm shift fosters a more symbiotic relationship between chemists and machines, transforming how research questions are posed, hypotheses tested, and discoveries validated.

As the demand for novel functional materials intensifies in the context of sustainable technologies and advanced electronics, the AI-assisted framework demonstrated here offers a compelling blueprint. By drastically reducing experimental workloads and enriching interpretability, it enables researchers to rapidly explore complex chemical terrains with increased confidence and efficiency. The discovery of a COF with a photoluminescence quantum yield surpassing 40% within a fraction of the possible chemical combinations showcases how algorithmic intelligence can propel materials innovation beyond the constraints of human intuition alone.

Looking forward, this paradigm is poised to influence not only porous crystalline materials but also broader classes of organic and inorganic functional compounds. The integration of electronic-structure-informed AI models with adaptive experimental workflows could unlock new frontiers in catalyst design, battery materials, and molecular electronics. Crucially, the study offers a replicable template underscoring that the fusion of chemical knowledge and machine learning is greater than the sum of its parts, heralding a new era of data-driven yet theory-grounded discovery.

In conclusion, Zhang, Du, Xie, and colleagues have unveiled a pioneering integration of AI and chemistry that dramatically accelerates the identification of highly fluorescent COFs. Their iterative, knowledge-embedded experiment–learning cycles exemplify a future where computational foresight and experimental acumen converge, transforming the landscape of materials research. As we witness the dawn of true AI-augmented discovery, this approach sets a new standard in the quest for advanced functional materials, blending quantum insights with powerful learning algorithms to unlock nature’s untapped chemical potential.

Subject of Research: Discovery of highly fluorescent covalent organic frameworks (COFs) using AI-assisted iterative experimental learning.

Article Title: Discovery of highly fluorescent covalent organic frameworks through AI-assisted iterative experiment–learning cycles.

Article References:
Zhang, L., Du, J., Xie, Z. et al. Discovery of highly fluorescent covalent organic frameworks through AI-assisted iterative experiment–learning cycles. Nat. Chem. 17, 1645–1654 (2025). https://doi.org/10.1038/s41557-025-01974-x

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41557-025-01974-x

Metal–organic frameworks are renowned for their modularity and tunable porosity, which make them prime candidates for applications ranging from gas storage and separation to catalysis and drug delivery. Central to their design philosophy is the assembly of metal nodes coordinated to organic linkers, leading to highly ordered frameworks with precise control over pore size and shape. However, incorporating infinite organic networks such as COFs, known for their robust covalent bonding and intrinsic order, into MOFs has remained elusive. This is primarily due to the intrinsic disorder and flexibility inherent in organic chains and layers, which tend to disrupt the long-range periodicities essential for MOF crystallinity.

The innovative synthesis reported by Liu, Wu, Wang, and colleagues circumvents these obstacles by carefully selecting boroxine-based COFs as the organic subnet units and pairing them with Zr6O8 or Hf6O8 metal clusters to form stable frameworks. Boroxine rings, formed through the dehydration of boronic acids, provide a rigid and planar building motif conducive to establishing well-defined organic layers and chains. These boroxine-based structures exhibit remarkable stability and structural uniformity, enabling their integration as infinite connectivity units within MOFs.

A critical insight driving this research is the spatial compatibility between the metal clusters and the boroxine COFs. The complementary geometries and bonding preferences effectively lock the continuous organic units into precisely ordered arrangements within the MOF lattice. This interlocking mechanism ensures that the infinite organic chains or layers are not merely embedded as random phases but serve as well-defined, ordered building blocks coexisting with discrete inorganic nodes. The result is a compartmentalized framework architecture, where distinct structural entities and pore environments are spatially segregated yet interconnected along specific crystallographic directions.

This compartmentalization introduces unprecedented control over pore environments within a single crystalline material, allowing for selective interactions and functionalities to be harnessed in separate spatial domains. For instance, the one-dimensional boroxine chains can provide channels of specific chemical environments and conformations, while the two-dimensional layers offer planar domains with unique topologies. Meanwhile, the inorganic Zr6O8 or Hf6O8 clusters maintain the framework’s mechanical strength and facilitate robust metal-ligand coordination, essential for long-term stability.

The synthetic strategy utilized is a one-pot approach, a streamlined method that combines all starting materials in a single reaction vessel, promoting the simultaneous formation and self-assembly of the organic and inorganic subnetworks. This method enhances synthetic efficiency and reproducibility, which is significant for scaling up these complex architectures for practical applications. Moreover, the controlled reaction environment allows for the precise tuning of the resulting framework’s composition, topology, and porosity by adjusting parameters such as reagent stoichiometry, solvent system, and temperature.

Structurally, the new MOFs embody a remarkable duality: they hold both extended covalent organic frameworks, known for their planar and highly conjugated layers or linear chains, alongside isolated inorganic metal-oxo clusters, each retaining their intrinsic identities. Such duality not only enriches the structural diversity but also imbues the material with multifunctionality derived from both organic and inorganic constituents.

This discovery challenges the traditional paradigm where MOFs and COFs existed as separate classes of porous materials. Now, the coexistence of infinite organic subnetworks within metal-containing frameworks opens avenues for synergistic properties. For example, electronic communication might be facilitated across the organic layers while the metal clusters provide active sites for chemical reactions or adsorption, simultaneously enhancing conductivity and catalytic activity—a feat difficult to realize in separate materials.

The authors report that the pore environments within these frameworks show high compartmentalization along specific crystallographic directions, which can influence diffusion and adsorption selectivity of guest molecules. This could translate into advanced molecular sieving capabilities or catalytic site isolation, allowing for tandem reactions or multi-step processes to occur within a single solid material without cross-interference.

Beyond fundamental structural innovation, these compartmentalized MOFs have promising implications in gas storage, sensing, and heterogeneous catalysis. The spatial segregation allows for hosting multiple guest species in different framework regions or creating multi-functional catalysts with reaction zones confined and optimized for specific steps. Additionally, the boroxine linkers’ chemical tunability provides handles for post-synthetic modifications, further customizing the pore chemistry.

The use of Zr6O8 and Hf6O8 clusters as inorganic nodes is noteworthy for imparting exceptional thermal and chemical robustness, a well-recognized advantage of zirconium and hafnium-based MOFs. Their high valency and strong metal-oxo bonds provide stability that enables these frameworks to withstand harsh conditions, a critical consideration for real-world applications where durability often limits MOF deployment.

To summarize, Liu et al. have realized a new class of MOFs that uniquely integrate infinite covalent organic networks as integral building units. By harnessing boroxine-based COFs and compatible metal-oxo clusters, they achieved highly ordered, compartmentalized pore architectures, unlocking avenues for advanced materials with multifunctional capabilities and spatially regulated interactions. These results demonstrate the power of combining the chemical stability and modularity of MOFs with the extended conjugation and covalency of COFs, marking a significant milestone in reticular chemistry.

Future directions inspired by this work may include exploring other infinite subnet moieties such as covalent chains with different functional groups or electronic properties, expanding the repertoire of metal clusters, or investigating stimuli-responsive behaviors resulting from compartmentalized architectures. Furthermore, the precise control over pore environments raises prospects for complex catalysis, selective molecular recognition, and separation technologies tailored at the nanoscale.

The implications of this synthesis strategy extend beyond purely academic interest; they herald new frontiers in the design of porous crystalline materials, blending the best of both worlds—organic framework conjugation and metal cluster robustness—into architecturally complex, chemically resilient, and functionally diverse materials primed for tackling grand challenges in energy, environment, and medicine.

Subject of Research:
Metal–organic frameworks (MOFs) incorporating covalent organic frameworks (COFs) as infinite building units for creating compartmentalized pore structures.

Article Title:
Covalent organic frameworks as infinite building units for metal–organic frameworks with compartmentalized pores.

Article References:
Liu, B., Wu, Y., Wang, L. et al. Covalent organic frameworks as infinite building units for metal–organic frameworks with compartmentalized pores.
Nat. Chem. (2025). https://doi.org/10.1038/s41557-025-01953-2

Image Credits:
AI Generated