Supramolecular Materials: From Molecular Recognition and Self-Assembly to Dynamic Function
Supramolecular Materials: From Molecular Recognition and Self-Assembly to Dynamic Function
Introduction
The primary structures of many conventional materials are mainly maintained by covalent bonds, ionic interactions, or other relatively stable linkages. Supramolecular materials further make deliberate use of selective and tunable intermolecular interactions, enabling molecules or macromolecules that already possess complete covalent structures to organize into higher-order structures.
These materials exhibit a continuous multiscale relationship from molecular structure to macroscopic properties:
Molecular structure → Molecular recognition → Self-assembly → Hierarchical structure → Dynamic exchange → Material function
Hydrogen bonding, electrostatic interactions, π–π stacking of aromatic systems, hydrophobic effects in aqueous media, host–guest interactions, and reversible metal–ligand coordination can all participate in this organizational process. Differences among these interactions in binding strength, directionality, spatial tolerance, and exchange rate further influence the resulting assembly structures and their macroscopic properties.
Research on supramolecular materials has also evolved from an early focus on whether molecules can self-assemble to the control of nucleation, assembly pathways, and junction-exchange kinetics, and further toward stimulus-history dependence, transient assembly, and nonequilibrium spatiotemporal self-organization. Reversible changes in internal material junctions have thus become an important basis for many self-healing, stimuli-responsive, reconfigurable, and adaptive behaviors.
1. What Are Supramolecular Materials
1.1 Organizational Hierarchies Beyond Individual Molecules
IUPAC defines supramolecular chemistry as the field concerned with chemical entities and multimolecular systems of greater complexity than individual molecules that are maintained and organized through intermolecular interactions; a supramolecular assembly is formed by two or more molecular or molecular–ionic entities through noncovalent intermolecular association.[1]
“Supramolecular materials” are not a class of materials defined by a single fixed chemical composition. In materials science, such systems are generally described according to whether supramolecular interactions participate in constructing and regulating higher-order structures and material properties. Their building blocks may be small molecules, polymers, peptides, DNA, coordination compounds, or other molecular entities.
Host–guest complexes, micelles, vesicles, and molecular aggregates are supramolecular systems. When they further form nanofibers, layered structures, three-dimensional networks, or other structures with functions at the material scale, molecular recognition and assembly begin to connect with mechanical, mass-transport, optical, or biological properties.
For example:
Small-molecule assembly → Nanofibers → Three-dimensional fiber network → Supramolecular gel
or:
Host–guest recognition → Dynamic crosslinking between polymer chains → Three-dimensional network → Viscoelasticity, stress relaxation, and self-healing
Supramolecular materials thereby establish a multiscale relationship from molecular structure to macroscopic function. Noncovalent interactions with relatively high specificity, directionality, tunability, and reversibility are particularly suitable for constructing modular and environmentally responsive materials.[2]
1.2 Molecular Recognition Provides Selectivity and Directionality for Self-Assembly
Molecular recognition reflects selective association between building blocks. Recognition originates from complementarity in molecular geometry, functional-group positions, charge states, arrangements of hydrogen-bond donors and acceptors, hydrophobic surfaces, and other aspects of the chemical environment.
For a simple 1:1 host–guest system:
H + G ⇌ HG
In dilute solution, the concentration-based association constant is commonly expressed as:
Kₐ = [HG] / ([H][G])
Kₐ is generally reported in M⁻¹. If c° = 1 mol·L⁻¹ is used as the standard concentration, the corresponding dimensionless thermodynamic equilibrium constant is K° = Kₐc°, and the standard binding free energy is given by:
ΔG° = −RT ln K° = −RT ln(Kₐc°)
A larger Kₐ corresponds to a more favorable standard binding free energy. However, material assembly also depends on the direction in which building blocks interact, the number of binding sites on each molecule, and whether these sites are arranged spatially in a manner suitable for continued growth.
Even when one building block can form a stable complex with another, the system may remain as a finite-sized complex or small aggregate if the remaining interaction sites are not appropriately oriented for further connection. By contrast, building blocks with suitable valency and spatial directionality can continuously propagate local recognition relationships to form one-dimensional fibers, two-dimensional networks, or three-dimensional structures.
Molecular recognition provides local binding rules, while self-assembly propagates those rules over larger spatial scales.
1.3 Multiple Interactions Maintain Stable Higher-Order Structures
Under near-equilibrium conditions, the thermodynamic driving force for self-assembly can be described by the change in free energy:
ΔG = ΔH − TΔS
When free molecules form ordered assemblies, their translational, rotational, and conformational degrees of freedom are generally restricted, resulting in an entropic penalty. Favorable interactions arising from hydrogen bonding, electrostatic interactions, and dispersion forces, together with solvent release, counterion rearrangement, and hydrophobic effects in aqueous media, can collectively lower the free energy of the system and provide a thermodynamic driving force for assembly.
Stability at the material scale generally arises from the collective contribution of numerous interaction sites.
Multivalency is one important mechanism. When a building block interacts simultaneously with neighboring components through multiple sites, temporary dissociation of one site still leaves the remaining connections holding the two components in close proximity, increasing the effective local concentration for rebinding and thereby enhancing the persistence of the overall association.
Cooperativity has a more specific meaning: one binding event alters the free energy of subsequent binding events. For example, if the first binding event induces a conformational change that facilitates binding at a second site, the system exhibits positive cooperativity. Multivalent binding can produce very high overall binding strength, but it does not necessarily imply cooperativity.
These mechanisms allow individual junctions to remain reversible while numerous junctions collectively maintain stable hierarchical structures.
1.4 Molecular Recognition, Self-Assembly, and Dynamic Exchange Are Key Features of Supramolecular Materials
These three characteristics of supramolecular materials operate at different levels.
Molecular recognition determines which building blocks preferentially associate and the spatial mode of their association.
Self-assembly amplifies local recognition relationships to generate higher-order structures such as fibers, sheets, micelles, vesicles, or three-dimensional networks.
Dynamic exchange arises because some supramolecular junctions have finite lifetimes and can dissociate and reform, allowing established structures to reorganize over time.
Reversibility does not mean that all supramolecular materials undergo rapid exchange on experimental timescales. When the dissociation barrier of a junction is high, a material may behave as a stable structure for an extended period; when exchange is faster, pronounced stress relaxation, reconfiguration, or self-healing may occur. Material behavior depends on the match between molecular interaction timescales and the timescale of observation.
2. From Self-Assembly to Dynamic Material Function
2.1 Binding Strength, Directionality, and Interfacial Flexibility Jointly Control Assembly Structure
The design of supramolecular materials commonly focuses on binding affinity, directionality, and valency. Recent studies further show that the flexibility of the interaction interface between building blocks can itself substantially alter assembly outcomes.
In 2025, Caroprese et al. reported in Nature Chemistry a study of DNA three-point-star (3PS) macromolecular building blocks with threefold symmetry. The arms of the short 3PS are two DNA double-helical turns in length, whereas the long 3PS contains an additional 0.5 turn at the terminus of each arm, thereby increasing the spatial freedom and interfacial flexibility of the arm ends. Both building blocks form two-dimensional networks through directional π–π stacking between terminal DNA bases.[5]
Steady-state atomic force microscopy (AFM) showed that the two building blocks, despite differing only subtly in geometry, formed clearly distinct supramolecular structures: the short 3PS predominantly produced larger radial hexagonal networks, whereas the long 3PS mainly formed smaller, elongated assemblies. This difference persisted across different building-block concentrations.[5]
Figure 1 illustrates how such local differences in molecular structure are amplified into higher-order network morphologies. Figure 1a compares the structures of the short and long 3PS; Figure 1b and c show AFM images under different conditions; and Figure 1d quantitatively compares the two types of assemblies using network density (ND). The closer ND is to 1, the more closely the assembly approaches an ideal radial crystalline network.[5]
Figure 1. Steady-State Supramolecular Networks Formed by Short and Long 3PS Building Blocks.
(a) Short and long DNA three-point-star (3PS) building blocks obtained from molecular dynamics simulations, with the overall arm length and terminal arm length indicated; (b) AFM images of steady-state networks formed by short and long 3PS building blocks; (c) AFM images of steady-state networks at reduced building-block concentrations; (d) comparison of network density (ND) at different building-block concentrations. The short 3PS mainly forms larger radial hexagonal networks, whereas the long 3PS mainly forms smaller and elongated assemblies. These results show that relatively small changes in building-block geometry and flexibility can substantially alter overall network self-assembly. Reproduced from Caroprese et al.[5] under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This experimental phenomenon was subsequently further explained by kinetic observations and simulations. The strongly directional terminal π–π stacking requires adjacent double helices to adopt suitable spatial orientations. The greater terminal flexibility of the long 3PS reduces the probability that all three interacting arms simultaneously adopt effective binding conformations, thereby suppressing stable nucleation. Further modification of the terminal bases to increase interaction affinity did not restore the radial network characteristic of the short 3PS in the highly flexible long 3PS, indicating that simply increasing affinity is insufficient to compensate for the effects of excessive interfacial flexibility.[5]
Material design therefore needs to consider simultaneously:
Binding free energy, interaction directionality, effective valency, spatial tolerance, building-block flexibility, and nucleation kinetics.
Molecular interaction sites define local assembly rules, whereas the structural and mechanical properties of building blocks determine whether these rules can be continuously propagated to generate long-range ordered structures.
2.2 Junction-Exchange Kinetics Determine the Time-Dependent Behavior of Materials
For a simple one-step reversible binding process:
A + B ⇌ AB
Under the corresponding kinetic model:
Kₐ = k_on / k_off
where k_on is the association rate constant and k_off is the dissociation rate constant.
Two systems can have similar equilibrium association constants while exhibiting different association and dissociation rates. Equilibrium binding strength therefore cannot fully describe the performance of dynamic materials; junction lifetime and exchange rate are equally important.
When the duration of an external force is much shorter than the junction-exchange time, many junctions remain intact during deformation, and the network exhibits stronger elasticity and more solid-like behavior. When the duration of the applied force approaches or exceeds the junction-exchange time, the junctions can dissociate and reform, allowing the network to reorganize and release stress.
Reversible networks therefore exhibit pronounced timescale dependence. Studies of dynamic networks have shown that the lifetimes and exchange kinetics of reversible junctions can regulate properties including stress relaxation, processability, reshaping, and recycling.[3]
2.3 Binding Stability and Exchange Kinetics Must Be Coordinated
Shorter junction lifetimes facilitate rapid network rearrangement but may reduce structural retention; longer junction lifetimes can enhance network stability over short timescales while slowing stress relaxation and structural recovery.
The properties of supramolecular materials depend on the coordinated matching of multiple parameters:
Equilibrium binding strength + Dissociation rate + Junction density + Network topology + Molecular mobility + Timescale of use
The same supramolecular interaction can also produce different outcomes in different materials. For example, a high crosslink density can improve network integrity but may reduce segmental mobility; faster junction exchange can facilitate healing, whereas excessively rapid exchange may increase creep.
Dynamic material design therefore requires sufficient stability during load-bearing and normal use, while maintaining an appropriate rate of reconfiguration during healing, processing, or exposure to specific stimuli.
2.4 Junction Reorganization Enables Self-Healing and Stimuli Responsiveness
Material damage disrupts local network junctions. Effective self-healing requires the fractured interfaces to come back into contact, the building blocks or polymer chains to possess sufficient mobility, and new supramolecular junctions to reform on an appropriate timescale.
The process can be summarized as:
Local junction rupture → Interfacial contact and molecular diffusion → Formation of new junctions → Restoration of network continuity
Self-healing ability is jointly determined by junction reversibility, interfacial contact, chain-segment diffusion, and network reorganization.
Stimuli responsiveness relies on a similar dynamic basis. Changes in pH can alter protonation states and electrostatic interactions; light can change the configuration or electronic state of photoresponsive molecules; redox processes can alter charge and binding ability; and specific ions or molecules can shift assembly equilibria through competitive binding.
When an external stimulus changes the molecular state, interactions, or energy landscape of the system, the original assembly can undergo a transition or redistribute into another state. Macroscopically, this may manifest as gelation or degelation, changes in mechanical properties, morphological changes, optical responses, or payload release.
Self-healing emphasizes structural restoration after damage, whereas stimuli responsiveness emphasizes state transitions caused by changes in external conditions; both depend on the controlled reorganization of supramolecular junctions.
3. From Stimuli Responsiveness to Adaptation and Nonequilibrium Self-Organization
3.1 Stimulus History Can Alter the Final State of a Supramolecular System
Many simple reversible stimuli-responsive systems can be approximated as being governed primarily by the current stimulus conditions. More complex systems can also exhibit path dependence: even when the same types of stimuli are involved, different sequences of stimulus application may generate different final molecular compositions or assembly states.
In 2024, Dünnebacke et al. designed a π-conjugated molecule, (Z)1, containing both photoresponsive and pH-responsive units. The molecule uses 2,2′-bipyridine as the pH-responsive center, with photoresponsive cyanostilbene units on both sides and tris(dodecyloxy)benzene solubilizing groups.[6]
In the molecularly dispersed state, light irradiation alone can induce reversible photoisomerization between (Z)1 and (E)1, whereas addition of trifluoroacetic acid (TFA) protonates the bipyridine unit; this process can be reversed by adding triethylamine (Et₃N). When light and acid are applied sequentially in different orders, the system reaches different final Z/E compositions: irradiation followed by acid addition and acid addition followed by irradiation produce different isomer ratios. This demonstrates coupling between the two stimuli, and the researchers defined this stimulus-sequence-dependent final state as adaptation at the molecular level.[6]
In nonpolar solvents such as n-octane that promote self-assembly, (Z)1 forms nanoparticle-like aggregates, and intermolecular collective behavior further alters the response of the system to a single stimulus. Addition of TFA protonates the bipyridine unit and induces assembly reorganization, producing protonated (Z)1 aggregates with predominantly two-dimensional sheet-like morphology; addition of Et₃N restores the original aggregated state, making this a reversible form of supramolecular adaptation. By contrast, light irradiation of the (Z)1 aggregates induces a photochemical transformation different from the Z/E isomerization observed in the molecularly dispersed state and ultimately produces an insoluble polymer network. Based on spectroscopic and solid-state structural characterization, the authors concluded that this network most likely forms through [2+2] photocycloaddition crosslinking of the cyanostilbene units, and therefore represents irreversible supramolecular adaptation.[6]
Figure 2 summarizes this process at three levels: a single stimulus produces a molecular response; different sequences of stimuli produce molecular adaptation; and collective behavior generated by self-assembly allows a single acid or light stimulus to direct the aggregates toward different supramolecular states.
Figure 2. Hierarchical Relationship among Molecular Responsiveness, Molecular Adaptation, and Supramolecular Adaptation.
The upper portion shows the response of molecularly dispersed (Z)1 to individual stimuli: light irradiation induces photoisomerization between (Z)1 and (E)1, TFA protonates the bipyridine unit, and Et₃N can deprotonate it. The middle portion shows that sequential application of light and acid stimuli in different orders generates different final Z/E compositions, demonstrating stimulus-sequence-dependent molecular adaptation. The lower portion shows collective behavior after self-assembly: initially, (Z)1 forms nanoparticle-like aggregates; treatment with TFA converts them into protonated aggregates with predominantly two-dimensional sheet-like morphology, and this process can be reversed by Et₃N, representing reversible supramolecular adaptation. Light irradiation, by contrast, causes the (Z)1 aggregates to undergo a photochemical transformation distinct from Z/E isomerization in the molecularly dispersed state and produces a polymer network. The authors proposed that this network most likely forms through irreversible [2+2] photocycloaddition crosslinking of the cyanostilbene units, representing irreversible supramolecular adaptation. In the figure, the red, green, orange, and blue molecular representations correspond to (Z)1, (E)1, protonated (Z)1, and protonated (E)1, respectively; differently colored light-bulb symbols represent light stimuli of different wavelengths. H⁺ denotes an acid stimulus, and B denotes a base stimulus. Reproduced from Figure 1 of Dünnebacke et al.[6] under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Self-assembly therefore adds an important level of organization: when the response of an individual molecule becomes coupled to intermolecular interactions, the entire assembly can display collective behaviors that do not exist in the isolated molecular state.
3.2 Chemical Fuels Can Control the Lifetime of Supramolecular Materials
Equilibrium self-assembly is governed primarily by the free-energy landscape of the system. Nonequilibrium supramolecular systems, by contrast, can be driven by chemical-fuel consumption or by fluxes of matter or energy; among these, transient fuel-driven systems can form assemblies for a finite period and subsequently disassemble as the fuel is depleted or the activated species decays.
In 2017, Tena-Solsona et al. established a class of chemically fueled supramolecular material systems. The carbodiimide fuel EDC transiently converts dicarboxylic acid precursors into anhydrides, changing their charge and hydrophobicity and thereby promoting assembly; the anhydrides subsequently hydrolyze back to the original dicarboxylic acids, causing the assemblies to disappear.[7]
The material undergoes:
Precursor → Fuel-driven activation → Assemblable anhydride → Supramolecular structure → Hydrolysis → Disassembly
Changing the amount of fuel and the reaction rate can regulate the lifetime of the assemblies. Some assembled structures can also alter the hydrolysis rate of the anhydrides, creating feedback between the molecular reaction network and the material structure.[7]
These systems introduce time as a design variable in supramolecular materials. Materials no longer have only the two static outcomes of “forming” and “not forming”; their time of appearance, persistence, and disappearance can also be regulated through reaction kinetics.
3.3 Coupling Diffusion with Assembly Kinetics Produces Spatial Self-Organization
In 2026, Kubota et al. further reported a nonequilibrium “break-and-build” supramolecular process. In this system, a negatively charged low-molecular-weight peptide forms the initial fibers. When the cationic surfactant dodecyltrimethylammonium chloride (DTAC) enters the system, the original fibers disassemble, followed by formation of new coassembled fibers; as the local DTAC concentration continues to change, the fibers undergo further disassembly and reassembly.[8]
DTAC diffuses from the local application region into the hydrogel and forms a spatial concentration gradient. Different positions sequentially experience different DTAC concentration ranges and therefore occupy different stages of fiber disassembly and reconstruction. Coupling between diffusion kinetics and supramolecular-transition kinetics produces propagating waves and concentric spatial structures composed of different fiber populations, enabling hierarchical organization from micrometer-scale fibers to centimeter-scale macroscopic patterns.[8]
Such studies extend the control variables of supramolecular materials beyond the final structure to include:
Where a structure forms, when it forms, how it propagates, and when the next transformation occurs.
Nonequilibrium supramolecular materials thereby enter the level of spatiotemporal structural design.
4. Relationships Between Supramolecular Structure and Material Function
Different supramolecular functions arise from different molecular and network mechanisms. Material applications can be understood in terms of these structure–function relationships.
Supramolecular-Level Mechanism | Resulting Material Capability | Representative Application Areas |
Selective molecular recognition | Selective binding of specific ions, molecules, or biological targets | Molecular sensing, selective capture, and separation |
Reversible network junctions | Stress relaxation, interfacial reconnection, and structural reconfiguration | Self-healing materials, injectable gels, and reconfigurable soft materials |
Environmental regulation of assembly equilibria | Structural and property changes in response to pH, light, redox conditions, and other stimuli | Stimuli-responsive drug delivery, biomaterials, and smart gels |
Ordered hierarchical assembly | Amplification of local interactions into collective optical, electrical, or mass-transport behavior | Functional molecular materials, optoelectronic materials, and separation materials |
Supramolecular biomaterials have already used specific, directionally controlled, and reversible noncovalent interactions to regulate mechanical, chemical, and biological properties, with applications in drug delivery, tissue engineering, and stimuli-responsive materials.[2] More recent application-oriented studies have further expanded into sensing, separation, delivery, and other areas aimed at practical technological translation.[9]
Molecular recognition provides selectivity, self-assembly provides scale amplification, and dynamic exchange provides time dependence. Different applications exploit different combinations of these fundamental capabilities.
5. Key Research Directions in Supramolecular Materials
5.1 Establishing Predictive Structure–Assembly–Property Relationships
A large number of building blocks with well-defined recognition sites can now be designed, yet it remains difficult to directly predict final material morphology and macroscopic properties from molecular structure.
Self-assembly outcomes are simultaneously influenced by molecular structure and sequence, binding free energy, valency and directionality, molecular flexibility, solvent and ionic environment, concentration and temperature, nucleation rate, and assembly pathway.
In their 2025 review of supramolecular peptide materials, Kaygisiz et al. emphasized that peptide sequence, solvent, and environmental conditions need to be considered together as a unified assembly context, and proposed combining computation, experimental automation, and artificial intelligence to expand the accessible assembly space.[4]
The work of Caroprese et al. on interfacial flexibility further demonstrates that local structural and mechanical parameters can substantially alter network nucleation and growth even when binding affinities are similar.[5]
5.2 Extending Structural Control to Temporal and Spatial Control
Equilibrium or near-steady-state self-assembly generally focuses first on the structure formed under a given set of conditions. Nonequilibrium systems add two further design dimensions: time and space:
① When does the structure appear?
② How long can it persist?
③ Where does it form?
④ How does it propagate to other regions?
⑤ Under what conditions does it disappear or transform?
Chemically fueled transient assembly demonstrates that material lifetime can be regulated through reaction networks; break-and-build systems further show that coupling molecular diffusion with assembly kinetics can produce macroscopically partitioned supramolecular structures.[7,8]
This direction advances material design from static structural control toward spatiotemporal programming and represents an important research pathway for developing complex self-organizing behavior in artificial supramolecular systems.
5.3 Coordinating Dynamic Reconfiguration with Long-Term Engineering Stability
For supramolecular networks that rely on junction exchange to achieve dynamic functions, the junctions must possess sufficient exchange capability to enable stress relaxation, self-healing, and reconfiguration; practical materials must also withstand loads, resist creep, and maintain long-term structural stability.
These two requirements correspond to different timescales.
Over short timescales, junctions need sufficiently long lifetimes to maintain network integrity; over longer timescales or under specific stimulus conditions, the junctions must also permit exchange and rearrangement.
The key to engineering design is to match junction kinetics and network topology with the working environment and actual service timescale.
Studies of dynamic networks have shown that tuning the timescale of reversible junctions can produce different combinations of processability, structural retention, and mechanical response.[3]
Simultaneously achieving rapid healing, high mechanical strength, low creep, and long-term stability remains an important challenge in developing supramolecular materials from laboratory demonstrations of dynamic phenomena into functional engineering materials.
6. Representative Chemicals for Research on Molecular Recognition, Self-Assembly, and Dynamic Responses in Supramolecular Materials
Table 1. Host Molecules and Host–Guest Recognition Systems
Classification | CAS No. | Aladdin Cat. No. | Name | Grade or Purity | Product Features and Applications |
Crown ether host | 17455-13-9 | 18-Crown-6 | Ion-pair chromatography grade, ≥99%(GC) | A representative macrocyclic ion host that can selectively bind alkali metal ions through cavity-size matching and coordination by oxygen atoms; used in ion recognition, host–guest binding, dynamic coordination, and supramolecular assembly studies. | |
Crown ether host | 14187-32-7 | Dibenzo-18-crown-6 ether | ≥98% | An aromatic crown ether host combining cation coordination with aromatic interaction features; used in ion recognition, host–guest assembly, and construction of functional supramolecular systems. | |
Cyclodextrin host | 10016-20-3 | α-Cyclodextrin | ≥98%(HPLC) | Possesses a relatively small hydrophobic cavity capable of encapsulating size-matched hydrophobic guests; used in molecular recognition, inclusion complexation, self-assembly, and supramolecular polymer research. | |
Cyclodextrin host | 7585-39-9 | β-Cyclodextrin | ≥98% | A classic aqueous host–guest host capable of forming inclusion complexes with adamantane derivatives and various hydrophobic molecules; used in dynamic crosslinking, hydrogels, molecular delivery, and responsive-material research. | |
Cyclodextrin host | 17465-86-0 | γ-Cyclodextrin | ≥98% | Possesses a larger hydrophobic cavity capable of accommodating larger guests or forming multicomponent inclusion systems; used in molecular recognition, supramolecular assembly, and functional-molecule encapsulation studies. | |
Pillararene host | 1188423-16-6 | Dimethoxypillar[5]arene | ≥98%(HPLC) | A rigid pillar-shaped macrocyclic host that can construct host–guest complexes through cavity recognition; used in supramolecular polymers, rotaxanes, stimuli-responsive assembly, and dynamic-material research. | |
Calixarene host | 74568-07-3 | Calix[4]arene | ≥98%(HPLC) | A bowl-shaped macrocyclic scaffold with a functionalizable cavity and aromatic surfaces; used in ion and organic-guest recognition, interfacial assembly, sensing, and construction of supramolecular materials. | |
Cucurbituril host | 80262-44-8 | Cucurbit[6]uril hydrate | ≥97% | A rigid macrocyclic host with carbonyl-lined portals that can bind suitable guests through its hydrophobic cavity and ion–dipole interactions; used in aqueous host–guest recognition, molecular assembly, and dynamic supramolecular-system research. | |
Cucurbituril host | 259886-50-5 | Cucurbit[7]uril hydrate | ≥95% | A high-affinity aqueous host–guest receptor capable of binding cationic hydrophobic guests such as adamantylammonium species; used in dynamic crosslinking, molecular switches, delivery, and responsive supramolecular materials. | |
Hydrophobic model guest | 281-23-2 | Adamantane | ≥99% | A rigid hydrophobic cage structure that can serve as a model guest for hosts such as cyclodextrins; used to study cavity matching, hydrophobic recognition, and host–guest binding principles. | |
Cationic model guest | 768-94-5 | 1-Adamantanamine | Moligand™, ≥98% | The adamantane scaffold combines hydrophobic volume with a protonatable amino group and can be used in host–guest recognition, competitive binding, and dynamic crosslinking studies with cyclodextrins, cucurbiturils, and related hosts. |
Table 2. Building Blocks for Hydrogen-Bonded, Coordination-Driven, and Aromatic-Stacking Self-Assembly
Classification | CAS No. | Aladdin Cat. No. | Name | Grade or Purity | Product Features and Applications |
Multiple-hydrogen-bond building block | 108-78-1 | Melamine | ≥99% | Contains multiple hydrogen-bond donor and acceptor sites and can form ordered hydrogen-bond networks with complementary molecules; used in molecular recognition, coassembly, and two-dimensional supramolecular-structure research. | |
Multiple-hydrogen-bond building block | 108-80-5 | Cyanuric acid (CA) | ≥98% | Exhibits a hydrogen-bonding arrangement complementary to melamine and can form cyclic and extended hydrogen-bond networks; used in multipoint recognition, complementary hydrogen-bond coassembly, and hydrogen-bond-driven materials research. | |
Polycarboxylic assembly node | 554-95-0 | 1,3,5-Benzenetricarboxylic acid (TMA) | ≥98% | A threefold-symmetric polycarboxylic building block that can form extended networks through hydrogen bonding or metal coordination; used in two-dimensional assembly, porous structures, and hierarchical supramolecular systems. | |
Bidentate coordination unit | 366-18-7 | 2,2′-Bipyridine | AR, ≥99% | A classic bidentate nitrogen-donor ligand capable of forming metal-coordination nodes; protonation can also regulate its electronic structure and intermolecular interactions, enabling studies of reversible coordination, stimuli responsiveness, and dynamic supramolecular systems. | |
Tridentate coordination unit | 1148-79-4 | 2,2′:6′,2′′-Terpyridine | ≥98% | A tridentate nitrogen-donor ligand that can form directionally defined coordination structures with various metal ions; used in supramolecular polymers, coordination assembly, molecular switches, and dynamic-network research. | |
Linear coordination node | 553-26-4 | 4,4′-Bipyridine | ≥98% | The two terminal pyridyl nitrogen atoms provide linear ditopic binding sites; used in metal-coordination networks, hydrogen-bonded assemblies, and ordered two- and three-dimensional supramolecular structures. | |
π-Conjugated self-assembly unit | 129-00-0 | Pyrene | Sublimation grade, ≥99% | A planar polycyclic aromatic system with pronounced π–π stacking and excimer-formation characteristics; used in aromatic self-assembly, fluorescence response, molecular recognition, and photofunctional-material research. | |
π-Conjugated self-assembly unit | 198-55-0 | Perylene | Sublimation grade, ≥99.5% | A large planar π-conjugated scaffold prone to aromatic stacking; used to study hierarchical self-assembly, exciton coupling, energy transfer, and organic optoelectronic supramolecular structures. | |
Low-molecular-weight gelator building block | 106-14-9 | 12-Hydroxystearic acid (12-HSA) | ≥80%(GC) | The hydroxyl group and long alkyl chain jointly promote fiber-forming assembly driven by hydrogen bonding and dispersion interactions; used in low-molecular-weight organogels, fiber networks, and sol–gel transition studies. |
Table 3. Photoresponsive and Redox-Responsive Dynamic Supramolecular Building Blocks
Classification | CAS No. | Aladdin Cat. No. | Name | Grade or Purity | Product Features and Applications |
Photoisomerization-responsive unit | 103-33-3 | Azobenzene | ≥97% | Undergoes reversible cis–trans photoisomerization, with accompanying changes in molecular geometry and dipole properties; used in light-controlled host–guest binding, assembly morphology, and dynamic-network research. | |
Photochromic responsive unit | 1498-88-0 | 1,3,3-Trimethylindolino-6′-nitrobenzopyrylospiran | ≥98% | Can undergo light-induced interconversion between a closed spirocyclic state and an open-ring state, accompanied by changes in conjugation, polarity, and color; used in photoresponsive molecular switches, assembly regulation, and smart-material research. | |
Redox-responsive unit | 102-54-5 | Ferrocene | ≥99% | Exhibits reversible redox behavior, with changes in oxidation state accompanied by changes in charge and molecular-recognition properties; used in electrochemical control of host–guest binding, dynamic assembly, and responsive materials. | |
Electron-donor and redox unit | 31366-25-3 | Tetrathiafulvalene | ≥98% | An electron-rich π-conjugated scaffold with reversible redox and charge-transfer properties; used in charge-transfer assembly, conductive supramolecular systems, molecular recognition, and redox-responsive materials. |
Table 4. Acid–Base Stimuli and Reversible Assembly-Regulating Reagents
Classification | CAS No. | Aladdin Cat. No. | Name | Grade or Purity | Product Features and Applications |
Base stimulus-regulating reagent | 121-44-8 | Triethylamine | Anhydrous grade, ≥99.5%, Water≤50 ppm | Used for deprotonation and acid–base cycling of protonatable supramolecular building blocks, enabling studies of reversible transitions in molecular recognition, assembly states, and stimuli-responsive processes. | |
Acid stimulus-regulating reagent | 76-05-1 | Trifluoroacetic acid (TFA) | Anhydrous grade, ≥99% | A strong organic-acid stimulus that can regulate the protonation state of basic recognition units such as bipyridines; used in acid-responsive assembly, self-assembly reconfiguration, and stimulus-sequence-dependent dynamic supramolecular systems. |
Note: The products listed above are representative Aladdin products relevant to scientific research. Specific applications should be determined according to the product specifications, batch COA, and the intended reaction or evaluation system. Additional product specifications, grades, and COA information can be searched on the Aladdin website using the “product name/CAS/catalog number.”
References
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[2] Webber, M. J.; Appel, E. A.; Meijer, E. W.; Langer, R. Supramolecular biomaterials. Nature Materials, 2016, 15, 13–26. DOI: 10.1038/nmat4474.
[3] Webber, M. J.; Tibbitt, M. W. Dynamic and reconfigurable materials from reversible network interactions. Nature Reviews Materials, 2022, 7, 541–556. DOI: 10.1038/s41578-021-00412-x.
[4] Kaygisiz, K.; Sementa, D.; Athiyarath, V.; Chen, X.; Ulijn, R. V. Context dependence in assembly code for supramolecular peptide materials and systems. Nature Reviews Materials, 2025, 10, 449–472. DOI: 10.1038/s41578-025-00782-6.
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