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Nanocluster
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Nanoclusters are atomically precise, crystalline materials most often existing on the 0–2 nanometer scale.[citation needed] They are often considered[by whom?] kinetically stable intermediates that form during the synthesis of comparatively larger materials such as semiconductor and metallic nanocrystals. The majority of research conducted to study nanoclusters has focused on characterizing their crystal structures and understanding their role in the nucleation and growth mechanisms of larger materials.

Materials can be categorized into three different regimes, namely bulk, nanoparticles and nanoclusters.[according to whom?] Bulk metals are electrical conductors and good optical reflectors and metal nanoparticles display intense colors due to surface plasmon resonance.[1] However, when the size of metal nanoclusters is further reduced to form a nanocluster, the band structure becomes discontinuous and breaks down into discrete energy levels, somewhat similar to the energy levels of molecules.[2][1][3][4][5] This gives nanoclusters similar qualities as a singular molecule[6] and does not exhibit plasmonic behavior; nanoclusters are known as the bridging link between atoms and nanoparticles.[7][2][1][3][4][5][8][9][10][11][12] Nanoclusters may also be referred to as molecular nanoparticles.[13]

History of nanoclusters

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The formation of stable nanoclusters such as Buckminsterfullerene (C60) has been suggested to have occurred during the early universe.[14][8]

In retrospect, the first nanoclustered ions discovered were the Zintl phases, intermetallics studied in the 1930s.[citation needed]

The first set of experiments to consciously form nanoclusters can be traced back to 1950s and 1960s.[8] During this period, nanoclusters were produced from intense molecular beams at low temperature by supersonic expansion. The development of laser vaporization technique made it possible to create nanoclusters of a clear majority of the elements in the periodic table. Since 1980s, there has been tremendous work on nanoclusters of semiconductor elements, compound clusters and transition metal nanoclusters.[8]

Subnanometric metal clusters typically contain fewer than 10 atoms and measure less than one nanometer in size.[15][16][17][18][19]

Size and number of atoms in metal nanoclusters

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According to the Japanese mathematical physicist Ryogo Kubo, the spacing of energy levels can be predicted by

where EF is Fermi energy and N is the number of atoms. For quantum confinement 𝛿 can be estimated to be equal to the thermal energy (δ = kT), where k is the Boltzmann constant and T is temperature.[20][21]

Stability

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Not all the clusters are stable. The stability of nanoclusters depends on the number of atoms in the nanocluster, valence electron counts and encapsulating scaffolds.[22] In the 1990s, Heer and his coworkers used supersonic expansion of an atomic cluster source into a vacuum in the presence of an inert gas and produced atomic cluster beams.[21] Heer's team and Brack et al. discovered that certain masses of formed metal nanoclusters were stable and were like magic clusters.[23] The number of atoms or size of the core of these magic clusters corresponds to the closing of atomic shells. Certain thiolated clusters such as Au25(SR)18, Au38(SR)24, Au102(SR)44 and Au144(SR)60 also showed magic number stability.[3] Häkkinen et al explained this stability with a theory that a nanocluster is stable if the number of valence electrons corresponds to the shell closure of atomic orbitals as (1S2, 1P6, 1D10, 2S2 1F14, 2P6 1G18, 2D10 3S2 1H22.......).[24][25]

Synthesis and stabilization

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Solid state medium

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Molecular beams can be used to create nanocluster beams of virtually any element. They can be synthesized in high vacuum by with molecular beam techniques combined with a mass spectrometer for mass selection, separation and analysis. And finally detected with detectors.[26]

Cluster Sources

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Seeded supersonic nozzle Seeded supersonic nozzles are mostly used to create clusters of low-boiling-point metal. In this source method metal is vaporized in a hot oven. The metal vapor is mixed with (seeded in) inert carrier gas. The vapor mixture is ejected into a vacuum chamber via a small hole, producing a supersonic molecular beam. The expansion into vacuum proceeds adiabatically cooling the vapor. The cooled metal vapor becomes supersaturated, condensing in cluster form.

Gas aggregation Gas aggregation is mostly used to synthesize large clusters of nanoparticles. Metal is vaporized and introduced in a flow of cold inert gas, which causes the vapor to become highly supersaturated. Due to the low temperature of the inert gas, cluster production proceeds primarily by successive single-atom addition.

Laser vaporization Laser vaporization source can be used to create clusters of various size and polarity. Pulse laser is used to vaporize the target metal rod and the rod is moved in a spiral so that a fresh area can be evaporated every time. The evaporated metal vapor is cooled by using cold helium gas, which causes the cluster formation.

Pulsed arc cluster ion This is similar to laser vaporization, but an intense electric discharge is used to evaporate the target metal.

Ion sputtering Ion sputtering source produces an intense continuous beam of small singly ionized cluster of metals. Cluster ion beams are produced by bombarding the surface with high energetic inert gas (krypton and xenon) ions. The cluster production process is still not fully understood.

Liquid-metal ion In liquid-metal ion source a needle is wetted with the metal to be investigated. The metal is heated above the melting point and a potential difference is applied. A very high electric field at the tip of the needle causes a spray of small droplets to be emitted from the tip. Initially very hot and often multiply ionized droplets undergo evaporative cooling and fission to smaller clusters.

Mass Analyzer

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Wein filter In Wien filter mass separation is done with crossed homogeneous electric and magnetic fields perpendicular to ionized cluster beam. The net force on a charged cluster with mass M, charge Q, and velocity v vanishes if E = Bv/c . The cluster ions are accelerated by a voltage V to an energy QV. Passing through the filter, clusters with M/Q = 2V/(Ec/B) are not deflected. These cluster ions that are not deflected are selected with appropriately positioned collimators.

Quadrupole mass filter The quadrupole mass filter operates on the principle that ion trajectories in a two-dimensional quadrupole field are stable if the field has an AC component superimposed on a DC component with appropriate amplitudes and frequencies. It is responsible for filtering sample ions based on their mass-to-charge ratio.

Time of flight mass spectroscopy Time-of-flight spectroscopy consists of an ion gun, a field-free drift space and an ion cluster source. The neutral clusters are ionized, typically using pulsed laser or an electron beam. The ion gun accelerates the ions that pass through the field-free drift space (flight tube) and ultimately impinge on an ion detector. Usually an oscilloscope records the arrival time of the ions. The mass is calculated from the measured time of flight.

Molecular beam chromatography In this method, cluster ions produced in a laser vaporized cluster source are mass selected and introduced in a long inert-gas-filled drift tube with an entrance and exit aperture. Since cluster mobility depends upon the collision rate with the inert gas, they are sensitive to the cluster shape and size.

Aqueous medium

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In general, metal nanoclusters in an aqueous medium are synthesized in two steps: reduction of metal ions to zero-valent state and stabilization of nanoclusters. Without stabilization, metal nanoclusters would strongly interact with each other and aggregate irreversibly to form larger particles.

Reduction

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There are several methods reported to reduce silver ion into zero-valent silver atoms:

  • Chemical Reduction Chemical reductants can reduce silver ions into silver nanoclusters. Some examples of chemical reductants are sodium borohydride (NaBH4) and sodium hypophosphite (NaPO2H2.H2O). For instance, Dickson and his research team have synthesized silver nanoclusters in DNA using sodium borohydride.[10][9]
  • Electrochemical Reduction Silver nanoclusters can also be reduced electrochemically using reductants in the presence of stabilizing agents such as dodecanethiol [de] and tetrabutylammonium.[12]
  • Photoreduction Silver nanoclusters can be produced using ultraviolet light, visible or infrared light. The photoreduction process has several advantages such as avoiding the introduction of impurities, fast synthesis, and controlled reduction. For example Diaz and his co-workers have used visible light to reduce silver ions into nanoclusters in the presence of a PMAA polymer. Kunwar et al produced silver nanoclusters using infrared light.[27][2]
  • Other reduction methods Silver nanoclusters are also formed by reducing silver ions with gamma rays, microwaves, or ultrasound. For example silver nanoclusters formed by gamma reduction technique in aqueous solutions that contain sodium polyacrylate or partly carboxylated polyacrylamide or glutaric acids. By irradiating microwaves Linja Li prepared fluorescent silver nanoclusters in PMAA, which typically possess a red color emission. Similarly Suslick et al. have synthesized silver nanoclusters using high ultrasound in the presence of PMAA polymer.[2][11]

Stabilization

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Cryogenic gas molecules are used as scaffolds for nanocluster synthesis in solid state.[4] In aqueous medium there are two common methods for stabilizing nanoclusters: electrostatic (charge, or inorganic) stabilization and steric (organic) stabilization. Electrostatic stabilization occurs by the adsorption of ions to the often-electrophilic metal surface, which creates an electrical double layer. Thus, this Coulomb repulsion force between individual particles will not allow them to flow freely without agglomeration. Whereas on the other hand in steric stabilization,the metal center is surrounded by layers of sterically bulk material. These large adsorbates provide a steric barrier which prevents close contact of the metal particle centers.[2]

Thiols Thiol-containing small molecules are the most commonly adopted stabilizers in metal nanoparticle synthesis owing to the strong interaction between thiols and gold and silver. Glutathione has been shown to be an excellent stabilizer for synthesizing gold nanoclusters with visible luminescence by reducing Au3+ in the presence of glutathione with sodium borohydride (NaBH4). Also other thiols such as tiopronin, 2-phenylethanethiol, thiolated α-cyclodextrin and 3-mercaptopropionic acid and bidentate dihydrolipoic acid are other thiolated compounds currently being used in the synthesis of metal nanoclusters. The size as well as the luminescence efficiency of the nanocluster depends sensitively on the thiol-to-metal molar ratio. The higher the ratio, the smaller the nanoclusters. The thiol-stabilized nanoclusters can be produced using strong as well as mild reductants. Thioled metal nanoclusters are mostly produced using the strong reductant sodium borohydride (NaBH4). Gold nanocluster synthesis can also be achieved using a mild reducant tetrakis(hydroxymethyl)phosphonium (THPC). Here a zwitterionic thiolate ligand, D-penicillamine (DPA), is used as the stabilizer. Furthermore, nanoclusters can be produced by etching larger nanoparticles with thiols. Thiols can be used to etch larger nanoparticles stabilized by other capping agents.

Look up mercaptoundecanoic acid or microgel in Wiktionary, the free dictionary.

Dendrimers Dendrimers are used as templates to synthesize nanoclusters. Gold nanoclusters embedded in poly(amidoamine) dendrimer (PAMAM) have been successfully synthesized. PAMAM is repeatedly branched molecules with different generations. The fluorescence properties of the nanoclusters are sensitively dependent on the types of dendrimers used as template for the synthesis. Metal nanoclusters embedded in different templates show maximum emission at different wavelengths. The change in fluorescence property is mainly due to surface modification by the capping agents. Although gold nanoclusters embedded in PAMAM are blue-emitting the spectrum can be tuned from the ultraviolet to the near-infrared (NIR) region and the relative PAMAM/gold concentration and the dendrimer generation can be varied. The green-emitting gold nanoclusters can be synthesized by adding mercaptoundecanoic acid (MUA) into the prepared small gold nanoparticle solution. The addition of freshly reduced lipoic acid (DHLA) gold nanoclusters (AuNC@DHLA) become red-emitting fluorophores.[2][1]

Polymers Polymers with abundant carboxylic acid groups were identified as promising templates for synthesizing highly fluorescent, water-soluble silver nanoclusters. Fluorescent silver nanoclusters have been successfully synthesized on poly(methacrylic acid), microgels of poly(N-isopropylacrylamide-acrylic acid-2-hydroxyethyl acrylate) polyglycerol-block-poly(acrylic acid) copolymers polyelectrolyte, poly(methacrylic acid) (PMAA) etc.[5] Gold nanoclusters have been synthesized with polyethylenimine (PEI) and poly(N-vinylpyrrolidone) (PVP) templates. The linear polyacrylates, poly(methacrylic acid), act as an excellent scaffold for the preparation of silver nanoclusters in water solution by photoreduction. Poly(methacrylic acid)-stabilized nanoclusters have an excellent high quantum yield and can be transferred to other scaffolds or solvents and can sense the local environment.[27][2][1][3][4][28][29]

DNA, proteins and peptides DNA oligonucleotides are good templates for synthesizing metal nanoclusters. Silver ions possess a high affinity to cytosine bases in single-stranded DNA which makes DNA a promising candidate for synthesizing small silver nanoclusters. The number of cytosines in the loop could tune the stability and fluorescence of Ag NCs. Biological macromolecules such as peptides and proteins have also been utilized as templates for synthesizing highly fluorescent metal nanoclusters. Compared with short peptides, large and complicated proteins possess abundant binding sites that can potentially bind and further reduce metal ions, thus offering better scaffolds for template-driven formation of small metal nanoclusters. Also the catalytic function of enzymes can be combined with the fluorescence property of metal nanoclusters in a single cluster to make it possible to construct multi-functional nanoprobes.[2][3][4][1][10]

Inorganic scaffolds Inorganic materials like glass and zeolite are also used to synthesize the metal nanoclusters. Stabilization is mainly by immobilization of the clusters and thus preventing their tendency to aggregate to form larger nanoparticles. First metal ions doped glasses are prepared and later the metal ion doped glass is activated to form fluorescent nanoclusters by laser irradiation. In zeolites, the pores which are in the ångström size range can be loaded with metal ions and later activated either by heat treatment, UV light excitation, or two-photon excitation. During the activation, the silver ions combine to form the nanoclusters that can grow only to oligomeric size due to the limited cage dimensions.[2][30]

Properties

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Magnetic properties

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Most atoms in a nanocluster are surface atoms. Thus, it is expected that the magnetic moment of an atom in a cluster will be larger than that of one in a bulk material. Lower coordination, lower dimensionality, and increasing interatomic distance in metal clusters contribute to enhancement of the magnetic moment in nanoclusters. Metal nanoclusters also show change in magnetic properties. For example, vanadium and rhodium are paramagnetic in bulk but become ferromagnetic in nanoclusters. Also, manganese is antiferromagnetic in bulk but ferromagnetic in nanoclusters. A small nanocluster is a nanomagnet, which can be made nonmagnetic simply by changing its structure. So they can form the basis of a nanomagnetic switch.[3][8]

Reactivity properties

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Large surface-to-volume ratios and low coordination of surface atoms are primary reasons for the unique reactivity of nanoclusters. Thus, nanoclusters are widely used as catalysts.[11] Gold nanoclusters are an excellent example of a catalysts. While bulk gold is chemically inert, it becomes highly reactive when scaled down to nanometer scale. One of the properties that govern cluster reactivity is electron affinity. Chlorine has highest electron affinity of any material in the periodic table. Clusters can have high electron affinity and nanoclusters with high electron affinity are classified as super halogens. Super halogens are metal atoms at the core surrounded by halogen atoms.[3][8]

Optical properties

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The optical properties of materials are determined by their electronic structure and band gap. The energy gap between the highest occupied molecular orbital and lowest unoccupied molecular orbital (HOMO/LUMO) varies with the size and composition of a nanocluster. Thus, the optical properties of nanoclusters change. Furthermore, the gaps can be modified by coating the nanoclusters with different ligands or surfactants. It is also possible to design nanoclusters with tailored band gaps and thus tailor optical properties by simply tuning the size and coating layer of the nanocluster.[31][2][3][8]

Applications

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Nanoclusters potentially have many areas of application as they have unique optical, electrical, magnetic and reactivity properties. Nanoclusters are biocompatible, ultrasmall, and exhibit bright emission, hence promising candidates for fluorescence bio imaging or cellular labeling. Nanoclusters along with fluorophores are widely used for staining cells for study both in vitro and in vivo. Furthermore, nanoclusters can be used for sensing and detection applications.[32] They are able to detect copper and mercury ions in an aqueous solution based on fluorescence quenching. Also many small molecules, biological entities such as biomolecules, proteins, DNA, and RNA can be detected using nanoclusters. The unique reactivity properties and the ability to control the size and number of atoms in nanoclusters have proven to be a valuable method for increasing activity and tuning the selectivity in a catalytic process. Also since nanoparticles are magnetic materials and can be embedded in glass these nanoclusters can be used in optical data storage that can be used for many years without any loss of data.[31][2][1][3][4]

Further reading (reviews)

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Further reading (primary references)

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia

Nanocluster

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A nanocluster is an ultrasmall aggregate of atoms, typically numbering from a few to a few hundred, with core dimensions generally less than 3 nm, that occupies a transitional between discrete molecules and larger nanoparticles, exhibiting molecule-like discrete electronic states rather than continuous band structures found in bulk materials. These structures, often composed of noble metals such as , silver, or , feature a high proportion of surface atoms that enable tunable properties through size, composition, and surface ligands. Key characteristics include strong arising from ligand-metal charge transfer, enhanced catalytic activity due to quantum confinement effects, and magnetic or optical behaviors distinct from their bulk counterparts. Synthesis of nanoclusters primarily relies on wet chemical reduction methods, with recent advances incorporating photochemical, sonochemical, and automated techniques to achieve atomic precision and scalability. Applications span and biosensing, where their and low toxicity shine, to electrocatalysis for processes like CO₂ reduction and . Ongoing research emphasizes their assembly into superstructures for in theranostics and .

Definition and Classification

Core Concepts

Nanoclusters are defined as aggregates of 2 to approximately 1000 atoms or molecules, with typical sizes ranging from 0.5 to 2 nm, positioning them as intermediate structures between individual atoms or molecules and bulk materials. These ultrasmall assemblies exhibit properties that bridge molecular and nanoscale behaviors, often stabilized by ligands or protective agents to prevent aggregation. A key distinguishing feature of nanoclusters from larger nanoparticles is the absence of collective plasmon oscillations, which dominate in particles above 2-3 nm; instead, nanoclusters behave as giant molecules with discrete electronic energy levels and well-defined HOMO-LUMO gaps. This molecular-like character arises from their atomic precision and small scale, enabling precise control over electronic and . Quantum confinement effects in nanoclusters lead to a size-dependent electronic , where the confinement of electrons within the limited dimensions results in discrete states rather than continuous bands found in bulk materials. As cluster size decreases, the band gap widens due to this confinement, enhancing features like and altering reactivity. Nanoclusters are primarily composed of metallic elements, such as (Au), silver (Ag), and (Cu), though they also encompass varieties like silicon-based clusters and molecular assemblies protected by organic ligands. This compositional diversity allows for tailored functionalities while maintaining the core quantum characteristics.

Types of Nanoclusters

Nanoclusters are categorized primarily based on their elemental composition, structural arrangement, and surface protection mechanisms, which influence their distinct behaviors at the nanoscale. Metallic nanoclusters, composed of noble metals such as (Au), (Ag), and platinum (Pt), or transition metals like copper (Cu) and (Pd), represent a foundational class due to their atomic-level precision and tunable electronic structures. These clusters often exhibit discrete energy levels, bridging molecular and metallic regimes, with examples including the atomically precise Au25(SR)18 structure, where SR denotes thiolate ligands stabilizing the core. Noble metal variants like Au and Ag clusters are particularly noted for their stability and , while transition metal ones such as Cu and Pd contribute catalytic motifs. Semiconductor nanoclusters, such as (CdSe) or (Si) variants, display quantum dot-like behavior at the cluster scale, where size-dependent confinement leads to quantized electronic states and enhanced . nanoclusters, for instance, transition from molecular-like to quantum-confined regimes as they grow, exhibiting discrete absorption peaks akin to larger quantum dots. Similarly, Si nanoclusters manifest quantum confinement effects, resulting in tunable and surface-state-dominated emissions, distinguishing them from bulk . Alloy and bimetallic nanoclusters, including or compositions, incorporate doping to modify atomic arrangements and electronic properties. In alloys, atoms often occupy interstitial or surface sites within the gold framework, altering and stability without disrupting the overall icosahedral motif. bimetallics similarly leverage doping to induce site-specific placement, enhancing structural diversity through galvanic replacement or co-reduction pathways. These doping effects enable precise control over cluster , as seen in heteroatom-substituted frameworks that maintain atomic precision. Protected nanoclusters feature stabilizing ligands or templates that encapsulate the core, such as thiolate, phosphine, or biomolecular scaffolds like proteins and DNA. Thiolate-protected variants, common in noble metal systems, form robust metal-ligand interfaces that prevent aggregation and enable chirality. Phosphine ligands offer similar monodentate coordination for precise cluster assembly, while protein-templated clusters utilize amino acid residues for biocompatible stabilization. DNA-templated silver nanoclusters (Ag NCs), for example, rely on nucleotide sequences to direct metal ion reduction and cluster formation within scaffolds, yielding fluorescent probes with sequence-specific emissions. Non-metallic or molecular nanoclusters encompass carbon-based structures like fullerenes, which serve as an edge case of discrete carbon assemblies, and oxide clusters such as (TiO2). Fullerenes, exemplified by C60, represent closed-shell carbon clusters with fullerene-like bonding, bridging molecular and nanoscale carbon forms. TiO2 nanoclusters, often modeled as (TiO2)n units, exhibit varied stoichiometries and surface hydroxylations that dictate their electronic band gaps and reactivity. These non-metallic types highlight the extension of nanocluster concepts beyond metals to molecular and oxide frameworks.

Historical Development

Early Discoveries

The foundations of nanocluster research trace back to the mid-19th century, when synthesized stable particles in 1857 by reducing chloride with in , producing ruby-red solutions that demonstrated the unique of nanoscale assemblies. These colloids, consisting of particles on the order of tens of nanometers, served as an early precursor to modern nanoclusters, highlighting size-dependent color changes due to plasmonic effects, though the atomic-scale precision was not yet understood. In the and , the field advanced significantly with the development of gas-phase cluster beam techniques, enabling the production and study of isolated atomic clusters. Pioneering experiments by W. Henkes and colleagues utilized supersonic nozzle expansions of rare gases to generate beams of molecular clusters, such as and aggregates, allowing for the first controlled investigations of cluster formation, , and properties. These methods, built upon earlier work by E.W. Becker in the 1950s, facilitated the separation of clusters from atomic beams and laid the groundwork for mass spectrometric analysis, shifting focus from bulk colloids to discrete, size-selected gaseous assemblies. The 1980s marked a breakthrough with the discovery of "magic number" clusters through of vapors. In 1984, Walter Knight and coworkers observed enhanced stability in sodium clusters containing 2, 8, 20, and 40 atoms, attributed to closed electronic shells in a model, where valence electrons behave like those in free atoms. These anomalies in mass spectra revealed quantized energy levels, distinguishing nanoclusters from bulk metals. Concurrently, researchers like Michael Bowers and A.W. Castleman advanced cluster beam deposition studies, exploring soft landing of size-selected ions onto surfaces to probe reactivity and film formation, using molecular beam sources for controlled gas-phase synthesis. In parallel, Günter Schmid reported the synthesis of the ligand-stabilized cluster Au55(PPh3)12Cl6 in 1981 via reduction of phosphine with , yielding a stable, icosahedral-like structure with a metallic core protected by phosphine and ligands, bridging molecular and nanoscale regimes. This era solidified the view of nanoclusters as "artificial atoms," with discrete electronic structures mimicking atomic shells, as evidenced by the shell-filling magic numbers in Knight's sodium experiments, which paralleled nuclear and . These insights transformed clusters from curiosities into tunable building blocks, emphasizing their intermediate nature between molecules and solids.

Key Milestones and Recent Advances

In the 2000s, the synthesis of thiol-protected gold nanoclusters marked a pivotal advancement, with the Au25(SR)18 cluster first isolated by Whetten and colleagues in 1996 and its single-crystal structure resolved in 2008, revealing a centered icosahedral core capped by dimeric staples. This work built on the earlier introduction of monolayer-protected clusters (MPCs) by Murray in 1996, which provided a robust framework for stabilizing atomically precise nanoclusters and enabling their isolation in high purity during the decade. The 2010s saw the widespread determination of atomically precise nanocluster structures through , complemented by theoretical models from Häkkinen that elucidated ligand-metal interactions and electronic shell filling. Concurrently, the rise of alloy nanoclusters, including bimetallic systems like Au-Ag and Au-Cu, introduced tunable electronic properties for enhanced catalytic selectivity. Recent advances from 2023 to 2025 have focused on scalable and functional nanocluster designs. A high-yield synthesis of Cu29 nanoclusters, achieving up to 84% yield with cyclohexanethiolate and phenanthroline , has enabled applications in photothermal conversion and . DNA-templated bimetallic nanoclusters, such as Ag/Pt and Cu/Ag variants, have been optimized for fluorescent biosensing and detection with improved stability. strategies for Au nanoclusters have advanced biomedical uses, including targeted and photothermal therapy through ligand-driven hierarchical structures. Progress in Cu-M (M = Ag, Au, Pt) nanoclusters has enhanced electrocatalytic performance, particularly for CO2 reduction. For instance, Au13Cu2 nanoclusters achieve CO faradaic efficiencies up to 90.4%. In 2024, integration of AI models facilitated rapid structure prediction for undiscovered metal nanoclusters, predicting stable configurations across Cu and Ag systems to guide synthetic routes, including over 20 novel structures.

Fundamental Aspects

Size and Atomic Composition

Nanoclusters are defined by their ultrasmall dimensions, typically ranging from 0.5 to 2 nm in , which corresponds to approximately 10 to 1000 atoms depending on the element and . This size regime is critical because it places the clusters in a quantum-confined state where electronic deviate significantly from bulk materials; specifically, the discrete energy levels lead to a pronounced HOMO-LUMO gap that diminishes with increasing atom count, marking a transition from molecular-like insulating behavior to metallic conductivity as the emerges around 250 atoms for nanoclusters, as exemplified by the shift from nonmetallic Au246 to metallic Au279 structures. For instance, in nanoclusters, this shift occurs as the number of atoms exceeds the threshold for states, enabling band-like conduction. The atomic composition, particularly the number of core atoms, profoundly affects the electronic structure and stability of nanoclusters through phenomena like , which correspond to particularly stable configurations due to geometric and electronic shell closures. In gold nanoclusters, magic numbers such as 13 and 55 atoms favor icosahedral geometries, where the atoms arrange into closed polyhedral shells that minimize surface energy and enhance symmetry. These effects are explained by shell models, notably the jellium model, which treats the positive charge as a uniform sphere and the valence electrons as occupying spherical harmonic orbitals, leading to enhanced stability at closed-shell electron counts (e.g., 8, 18, 34 electrons for metals, analogous to configurations). Such models predict periodic oscillations in properties like ionization potential as a function of atom number, underscoring the superatom-like of nanoclusters. In metallic nanoclusters, the core composition is precisely defined by the count of metal atoms, as exemplified by the archetypal Au144(SR)60 cluster, which features exactly 144 gold atoms in an icosahedral core protected by 60 thiolate ligands (SR). Ligands not only stabilize the core against coalescence but also modulate the effective hydrodynamic size by forming a passivation shell that extends the overall dimensions beyond the bare core radius, typically adding 0.5-1 nm depending on ligand length and density. This ligand shell influences interactions in solution or on surfaces without altering the intrinsic core atomic count. The jellium model provides a theoretical framework for understanding binding energies in these systems, approximating the total binding energy near shell closures as E≈−cN1/3E \approx -c N^{1/3}, where NN is the number of valence electrons (approximating atoms in simple metals) and cc is a material-dependent constant reflecting the scaling with cluster radius R∝N1/3R \propto N^{1/3}. This form captures the dominant surface and kinetic energy contributions in small clusters, with shell closings yielding local minima in energy that align with observed magic numbers.

Stability and Structural Models

The stability of nanoclusters is largely governed by ligand protection, which provides both steric hindrance to prevent aggregation and electronic effects that modulate . For instance, thiolate ligands (SR) form staple motifs on nanoclusters, bridging metal atoms and passivating undercoordinated sites to enhance resistance to coalescence. Additionally, electron counting rules contribute to exceptional stability in certain compositions, where the valence electrons of the metal core and ligands fill discrete superatomic orbitals analogous to atomic shells. A seminal example is the Au25(SR)18^- cluster, which achieves a closed-shell configuration with eight superatomic electrons (1S^2 1P^6), conferring "magic number" stability and resistance to fragmentation. Structural motifs in nanoclusters evolve with size, influencing their persistence under thermal or chemical stress. Small nanoclusters often adopt icosahedral due to their low and compact packing, as seen in bare metal clusters up to ~55 atoms. Larger clusters transition to cuboctahedral or layered face-centered cubic (fcc) arrangements, mimicking bulk crystal lattices while undergoing to minimize strain, such as faceting or twinning in supported Pd or Au systems. These motifs are stabilized by ligands that accommodate the geometry, with icosahedral cores protected by dimeric staples in thiolated clusters. Density functional theory (DFT) serves as a primary theoretical framework for optimizing nanocluster geometries and assessing stability, predicting lowest-energy configurations through minimization of total electronic energy. Thermodynamic stability is evaluated via free energy differences relative to bulk or alternative isomers, favoring closed-shell structures, while kinetic stability arises from high barriers to rearrangement or decomposition, often quantified through searches. For gold nanoclusters, DFT calculations confirm that superatom-closed motifs exhibit deeper global minima compared to open-shell alternatives. Key challenges to nanocluster stability include , where smaller clusters dissolve to feed larger ones via adatom , leading to polydispersity in ensembles. Coalescence further exacerbates this by direct particle collision and merging, particularly under elevated temperatures or on supports, as observed in Au clusters where fluxionality accelerates even for sub-nano sizes. Differences in stabilization arise between and ligands; halides offer weaker bridging but enable diverse motifs through ionic interactions, while thiols provide robust covalent staples.

Synthesis Methods

Gas-Phase Synthesis

Gas-phase synthesis of nanoclusters involves the generation of atomic vapors in a environment, followed by and growth into clusters through controlled processes, enabling the production of bare or minimally protected metal aggregates with high purity. This approach contrasts with solution-based methods by avoiding solvents and ligands, thus preserving intrinsic cluster properties for fundamental studies and applications. Common techniques include , where a high-energy vaporizes a solid target to produce metal atoms that aggregate in a carrier gas, and methods that eject atoms via ion bombardment. Cluster beam sources are central to gas-phase production, utilizing for precise vaporization of metals like , generating Au clusters through rapid cooling in or gas. sources, often enhanced by magnetron configurations, employ plasma to bombard targets, creating a vapor that condenses into clusters; for instance, radio-frequency magnetron in an aggregation zone forms size-tunable metal nanoclusters by adjusting gas pressure and power. These sources, pioneered in the 1980s through gas aggregation techniques, allow for continuous beam generation with yields improved by optimization, as demonstrated in early experiments forming metal clusters from atomic vapors. Mass selection is achieved using quadrupole mass filters or time-of-flight analyzers to isolate specific cluster sizes based on mass-to-charge ratio, ensuring monodisperse beams for targeted deposition. For example, quadrupole filters have been employed to select Au_{13} clusters from a broader distribution in laser ablation beams, enabling studies of magic-number stability. Time-of-flight systems complement this by providing high-resolution separation, as in setups combining sputtering with inert-gas condensation to produce size-selected copper clusters in the 1-5 nm range. Deposition and stabilization techniques focus on controlled delivery to substrates, with depositing mass-selected ions at low kinetic energies (typically <10 eV/atom) to maintain cluster integrity on surfaces like oxides or carbon films. Inert gas condensation, integrated into many beam sources, cools and aggregates clusters in a flowing inert atmosphere before extraction and landing, yielding stable bare aggregates; this method has produced fractal-like copper islands via size-selected deposition. Recent advancements, such as 2024 studies on soft-landing large silver nanoclusters for plasmonic applications, highlight ongoing refinements in vacuum-based delivery. The primary advantages of gas-phase synthesis include atomic-level precision in size and composition without solvent contamination, facilitating clean interfaces for catalysis and electronics, as evidenced by 1980s beam experiments on metal cluster reactivity and modern ion soft-landing for functional nanomaterials. This solvent-free nature enables high-purity clusters, with production rates scalable via magnetron enhancements, though challenges like beam intensity remain addressed through hybrid sources.

Solution-Phase Synthesis

Solution-phase synthesis of nanoclusters involves wet-chemical approaches that enable scalable production of ligand-protected metal clusters in liquid media, contrasting with gas-phase methods by emphasizing colloidal stability and surface passivation. These routes typically rely on the reduction of metal precursors in the presence of stabilizing ligands to form atomically precise structures, often achieving sizes below 2 nm with defined compositions. Key advantages include compatibility with aqueous or organic solvents, allowing for biomimetic conditions and high yields, though challenges like polydispersity require precise control over reaction kinetics. Reduction methods form the cornerstone of solution-phase synthesis, primarily involving chemical reduction of metal salts to generate zerovalent metal atoms that nucleate into clusters. A widely adopted technique uses sodium borohydride (NaBH₄) as a strong reducing agent for gold salts, such as HAuCl₄, to produce thiolate-protected Au nanoclusters like Au₂₅(SR)₁₈, where SR denotes alkylthiols; this approach yields monodisperse clusters by rapid reduction under mild conditions. Seeded growth extends this by adding preformed small clusters as seeds to a growth solution containing metal precursors and reductants, enabling controlled size increment and precise atomic addition, as demonstrated in the transformation from Au₂₅ to larger Au clusters via selective metal deposition. These methods prioritize thermodynamic selection post-nucleation to favor stable superatomic structures. Ligand protection is essential for preventing aggregation and imparting solubility, typically achieved through thiol exchange or templating agents. Thiol exchange involves displacing initial stabilizers with thiols to form robust M-S bonds, as in the place-exchange reaction on Au₂₅(SCH₂CH₂Ph)₁₈, where incoming thiols integrate into the ligand shell without disrupting the metal core. Phosphine ligands or protein templates, such as bovine serum albumin, serve as alternatives, facilitating biocompatible synthesis; for instance, recent in situ ligand exchange in two-phase systems has enabled the isolation of Cu nanoclusters in 2025 protocols, enhancing stability via dynamic surface reconfiguration. Synthesis can occur in aqueous or organic phases, each offering distinct advantages for cluster formation. Aqueous routes, exemplified by citrate reduction of Au³⁺ ions at elevated temperatures, produce citrate-capped clusters suitable for biomedical applications due to their water solubility and mild conditions, though they often yield polydisperse products without further refinement. In contrast, organic two-phase methods like the Brust-Schiffrin protocol transfer metal precursors from aqueous to organic phases using phase-transfer agents, followed by thiol reduction with NaBH₄, yielding highly stable, monodisperse Au nanoclusters in toluene. Recent advances incorporate kinetic control in these phases to synthesize alloy nanoclusters, such as Ag-Au bimetallics, by tuning reduction rates to trap metastable compositions before segregation occurs. High-yield protocols enhance scalability while minimizing polydispersity, critical for practical applications. For example, a 2025 synthesis of Cu₂₉ nanoclusters achieved 71% yield (on a Cu atom basis) through optimized thiolate protection and bulk-scale reduction using tert-butylamine borane complex as the reducing agent, demonstrating reproducible isolation of pure phases via chromatography. These approaches avoid excessive polydispersity by employing size-focusing steps, where intermediate polydisperse mixtures are refined under controlled etching or growth conditions, enabling gram-scale production of uniform clusters.

Characterization Techniques

Spectroscopic and Analytical Methods

Mass spectrometry plays a crucial role in determining the precise atomic composition and ligand structure of nanoclusters, particularly through electrospray ionization mass spectrometry (ESI-MS), which enables the analysis of intact clusters without fragmentation. For instance, ESI-MS has been instrumental in confirming the formula of gold nanoclusters such as Au25(SCH2Ph)18 by providing exact mass-to-charge ratios that match theoretical predictions for uniform and mixed monolayers. Additionally, collision-induced dissociation in ESI-MS allows for the sequential removal and identification of ligands, revealing the core-ligand interface and stability of the cluster assembly. Ultraviolet-visible (UV-Vis) and near-infrared (NIR) spectroscopy are widely used to probe the electronic structure of nanoclusters, capturing transitions between molecular orbitals such as the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO). In gold nanoclusters, these techniques reveal characteristic absorption peaks in the 400-800 nm range, attributed to HOMO-LUMO gaps that reflect the quantum-confined electronic states and ligand effects on band structure. Such spectra provide insights into the size-dependent evolution from molecular to metallic-like behavior, with narrower gaps observed in larger clusters. X-ray photoelectron spectroscopy (XPS) and extended X-ray absorption fine structure (EXAFS) offer detailed information on surface oxidation states and atomic coordination environments in nanoclusters. XPS detects shifts in binding energies, such as those in the Au 4f region, which indicate variations in oxidation states and charge transfer at the metal-ligand interface due to surface coordination. Complementarily, EXAFS elucidates local structural parameters, including bond lengths and coordination numbers, helping to distinguish core atoms from surface-capping ligands and assess oxidation influences on cluster stability. Inductively coupled plasma mass spectrometry (ICP-MS) is essential for quantifying elemental composition in nanocluster mixtures, enabling detection of trace metals and dopant distributions with high sensitivity. This technique digests clusters to measure atomic ratios, confirming purity and stoichiometry in polydisperse samples. Zeta potential measurements, often coupled with ICP-MS for charge analysis, quantify the net surface charge of nanoclusters in solution, influencing their colloidal stability and interactions; for example, thiol-protected gold nanoclusters exhibit zeta potentials around -20 to +10 mV depending on ligand functionalization. These methods together provide ensemble-level validation that can be corroborated by microscopic techniques for structural confirmation.

Microscopic and Structural Methods

Transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) are pivotal for visualizing the morphology, core size, and atomic lattice arrangements in nanoclusters, offering resolutions down to the sub-angstrom level with aberration correction. Aberration-corrected STEM, in particular, enables atomic-resolution imaging of individual nanoclusters, revealing structural motifs such as icosahedral arrangements in gold clusters. For instance, in size-selected Au_{923} nanoclusters, aberration-corrected STEM has resolved the icosahedral core structure, with lattice fringes corresponding to approximately 0.2 nm interatomic distances, allowing statistical analysis of ensemble geometries. These techniques also capture dynamic processes, such as surface melting in 2-5 nm Au clusters supported on carbon substrates, where atomic-resolution images show disorder at the periphery while preserving core order. X-ray diffraction (XRD) methods, including single-crystal X-ray diffraction (SCXRD) and powder XRD, provide complementary structural insights into protected nanoclusters, determining precise atomic positions and overall symmetry. SCXRD has been instrumental in elucidating the crystal structures of ligand-protected clusters in solution-grown crystals; a landmark example is the 2008 determination of the Au_{102}(p-MBA){44} structure (p-MBA = para-mercaptobenzoic acid), revealing a decahedral Au{79} core capped by a thiolate-gold shell with 1.1 Å resolution. For ensembles of polydisperse or non-crystalline nanoclusters, powder XRD analyzes average lattice parameters, phase purity, and crystallite sizes through peak broadening, as demonstrated in studies of argon nanocluster ensembles undergoing fcc-to-hcp transitions under low-vacuum conditions. This technique is particularly valuable for validating theoretical models against experimental diffraction patterns in bulk samples. Atomic force microscopy (AFM) and scanning tunneling microscopy (STM) excel in probing the topography and surface interactions of deposited nanoclusters, especially those soft-landed onto substrates to preserve native structures. High-resolution AFM on graphite substrates has imaged soft-landed Au_{25} nanoclusters, measuring heights of approximately 1 nm and diameters of 2-3 nm, while revealing strong binding energies around 3.8 eV without significant deformation. STM complements this by providing electronic contrast, enabling visualization of cluster arrangements and substrate-induced distortions in systems like Au nanoclusters on HOPG, where individual particles and their hexagonal packing are discernible at sub-nm lateral resolution. These methods are essential for studying cluster-substrate interactions in supported catalysis or device applications. Recent advances in cryo-TEM have extended structural analysis to solution-phase dynamics of nanocluster assemblies, capturing transient aggregates without drying artifacts. In 2023, cryo-TEM imaging of gold nanocluster seeds in aqueous solutions revealed atomically precise Au_{32} cores with halide ligands, demonstrating their role in directing larger nanoparticle growth through self-assembly pathways. This technique preserves solvation shells and enables 3D reconstruction of small colloidal assemblies, offering insights into assembly kinetics and polymorphism in native environments at near-atomic resolution.

Properties

Optical Properties

Nanoclusters exhibit discrete electronic states due to quantum confinement, leading to size-tunable photoluminescence where emission wavelengths shift with cluster size. For instance, thiol-protected Au25 nanoclusters display red peaking at approximately 600 nm, with quantum yields reaching up to 10% under optimized stabilization. This tunability arises from the quantization of energy levels, contrasting with the continuous bands in bulk metals, and enables applications in precise optical labeling. Absorption spectra of nanoclusters feature distinct molecular-like peaks rather than the broad observed in larger nanoparticles (typically >2 nm). These sharp transitions, often in the UV-visible range, reflect HOMO-LUMO-like excitations within the cluster's superatomic orbitals. choice significantly influences these properties, as electron-donating groups can modulate the by altering excited-state relaxation pathways and reducing non-radiative decay. For example, aromatic peptide ligands on nanoclusters induce large Stokes shifts (>200 nm) through intramolecular charge transfer mechanisms. In , silver nanoclusters demonstrate efficient , with cross-sections up to several thousand GM (Göppert-Mayer units) at near-infrared wavelengths, enabling deep-tissue excitation without photodamage. DNA-templated Ag nanoclusters, for instance, exhibit bright two-photon emission at 630 nm when excited at 800 nm. Recent assemblies of nanoclusters in 2025 have further amplified through plasmonic , achieving over 10-fold enhancement in via self-assembled frameworks that restrict intramolecular motions. Quantum confinement in nanoclusters can be modeled using the particle-in-a-box approximation, where the band gap energy EgE_g increases inversely with size: Eg≈ℏ2π22m∗r2E_g \approx \frac{\hbar^2 \pi^2}{2 m^* r^2} Here, ℏ\hbar is the reduced Planck's constant, m∗m^* is the effective electron mass, and rr is the cluster radius; this simplified form captures the blueshift in emission for smaller clusters relative to bulk materials.

Magnetic and Electronic Properties

The electronic structure of nanoclusters features discrete molecular orbitals rather than continuous bands, resulting in HOMO-LUMO energy gaps typically ranging from 1 to 3 eV, which imparts semiconductor-like behavior distinct from bulk metals. This quantization arises from quantum confinement effects in clusters with fewer than ~100-200 atoms, where the Kubo gap exceeds at , preventing free carrier conduction. In nanoclusters such as those of and silver, the model provides a framework for understanding this structure, treating the delocalized valence electrons as occupying spherical shell orbitals similar to atomic s, p, d states, with stability at "magic" electron counts like 8 or 18 following jellium-like principles. For instance, the archetypal Au25(SR)18- cluster exhibits a HOMO-LUMO gap of approximately 1.3 eV, with the highest occupied (HOMO) derived from p-like superatom states and the lowest unoccupied (LUMO) from d-like states. Magnetic properties in nanoclusters are governed by the presence of unpaired electrons and spin-orbit interactions, often leading to in systems with an odd number of valence electrons. Neutral odd-electron configurations, such as in [Au25(SR)18]0, display a spin ground state of S = 1/2 with anisotropic g-factors (e.g., g = 2.56, 2.36, 1.82), arising from the partial filling of shells. Doping with transition metals enhances these effects; for example, Mn-doped (CdSe)13 nanoclusters exhibit predominant at fields below 1 T, with unexpected magnetic moments due to Mn2+ incorporation distorting the cluster's electronic configuration. emerges in around several nanometers in , where single-domain particles lack permanent in zero field but respond rapidly to external fields, as seen in nanoparticles with sizes of 7 ± 1 nm displaying high saturation without remanence. In assemblies of nanoclusters, superparamagnetic-like behavior is observed below 100 K, with ferromagnetic appearing at even lower temperatures like 5 K. Conductivity in nanoclusters transitions from insulating to metallic with increasing size, driven by the closure of the HOMO-LUMO gap and enhanced electron delocalization. Small clusters with fewer than ~100 atoms behave as insulators due to large gaps (>0.1 eV), but metallic character emerges beyond approximately 200 atoms, as in Au279(SR)84 (~2.2 nm), where the gap falls below kBT, enabling nascent and ohmic-like transport. This size-dependent insulator-metal transition follows the Kubo criterion and has been verified in thiolate-protected , silver, and clusters through resistivity measurements showing decreasing resistance with larger core sizes. In single-electron devices, nanoclusters facilitate quantized charge transport via tunneling, exhibiting with charging energies of 200-600 meV and non-equidistant conductance peaks due to discrete orbital levels, as demonstrated in clusters on dithiol monolayers. Recent advances in nanoclusters highlight tunable conductivity through alloying, which modulates the electronic for enhanced charge transport in applications like electrocatalysis. For example, alloying Cu with Ag in Ag20Cu12 clusters alters the d-band center and electron density, improving conductivity and selectivity in nitrate reduction to . Similarly, bimetallic Au2Ag8Cu5 and Ag9Cu6 nanoclusters exhibit alloy-induced shifts in HOMO-LUMO gaps, enabling controlled rates. These developments underscore alloying as a strategy to bridge molecular and metallic regimes in Cu-based systems.

Reactivity and Catalytic Properties

Nanoclusters exhibit enhanced surface reactivity primarily due to their high proportion of undercoordinated atoms, which create sites with low coordination numbers and thus increased binding affinity for adsorbates. In gold nanoclusters, for instance, undercoordinated Au atoms serve as active centers for molecular adsorption, enabling reactions that are inactive on bulk gold surfaces. This coordination unsaturation arises from the finite size and discrete atomic structure of nanoclusters, leading to a higher density of edge and corner sites compared to extended surfaces. Ligands play a crucial role in modulating this reactivity by passivating or exposing these sites; for example, thiolate ligands on Au nanoclusters can tune the electronic structure and surface accessibility, thereby controlling adsorption energies and catalytic selectivity. Precise ligand engineering, such as varying the ligand type or density, further allows for optimization of the balance between stability and reactivity in these systems. In catalytic applications, nanoclusters demonstrate superior performance over bulk materials, exemplified by gold nanoclusters in CO oxidation. Atomically precise Au25(SR)18 nanoclusters achieve very low-temperature CO oxidation with turnover frequencies exceeding those of larger Au nanoparticles, attributed to their uniform undercoordinated sites that facilitate O2 activation. Similarly, Pt-Cu nanoclusters outperform bulk Pt in (HER) and (ORR), with de-alloyed PtCu structures showing enhanced mass activities and turnover frequencies up to several times higher than pure Pt due to optimized d-band centers and strain effects. These examples highlight how alloying and size control in nanoclusters amplify intrinsic catalytic rates compared to bulk counterparts. The reactivity mechanisms in nanoclusters are governed by size-dependent binding energies, which follow scaling relations that position them optimally on volcano plots for specific reactions. Smaller cluster sizes weaken adsorbate binding strengths relative to bulk, shifting the volcano peak and enabling higher activities for processes like ORR, where fluxionality and size effects reshape the activity landscape. For small clusters, activation energies often decrease with decreasing size, reflecting increased reactivity from reduced coordination and quantum confinement effects. Recent advances in 2025 have extended these principles to CO₂ reduction, where atomically precise Cu nanoclusters with tailored Cu-N interfaces achieve high selectivity for CH₄ production via modulated binding energies at undercoordinated sites. Ligand-engineered Cu nanoclusters from late 2024 further demonstrate improved selectivity and stability in CO₂ reduction through surface modulation.

Applications

Catalysis and Energy Conversion

Nanoclusters have emerged as highly efficient electrocatalysts for key reactions in renewable energy systems, particularly the hydrogen evolution reaction (HER) and oxygen reduction reaction (ORR). In HER, copper-based nanoclusters, such as Cu@S-Co(OH)₂ hybrids, demonstrate exceptional performance by optimizing hydrogen adsorption and desorption kinetics, achieving an ultralow overpotential of 42 mV at a current density of 10 mA cm⁻² in alkaline media. This enhancement arises from sulfur doping and copper incorporation, which modify the electronic structure of the cobalt hydroxide support, reducing the overpotential by nearly 100 mV compared to pristine Co(OH)₂. For ORR in proton exchange membrane fuel cells, atomically precise Pt₁₇ nanoclusters supported on carbon black exhibit a mass activity of 145 A g⁻¹ at 0.9 V versus reversible hydrogen electrode, representing 2.1 times the activity of commercial Pt nanoparticles on carbon. The superior performance stems from the nanoclusters' surface Pt atoms, which facilitate efficient O and OH dissociation without forming OOH intermediates, as confirmed by density functional theory calculations, while also promoting four-electron reduction pathways for enhanced durability. In photocatalysis, gold nanoclusters on titanium dioxide supports enable effective water splitting for hydrogen production by leveraging surface plasmon resonance effects to extend light absorption into the visible range. Au/TiO₂ nanocomposites synthesized via sputter magnetron arc deposition (SMAD) achieve a hydrogen evolution rate of 1600 μmol h⁻¹ under UV-Vis irradiation, outperforming other preparation methods like in situ reduction (1200 μmol h⁻¹) due to optimal Au nanoparticle sizing (8–10 nm) that enhances charge separation and transfer. For CO₂ reduction to fuels, alloy nanoclusters such as Au₁₃Cu₂ demonstrate high selectivity, with a Faradaic efficiency for CO production reaching 90.4% at -0.6 V versus reversible hydrogen electrode in a flow-cell reactor. Copper doping in these atomically precise clusters modulates the electronic structure to favor CO desorption over hydrogen evolution, achieving selectivities above 80% across a range of potentials and outperforming bimetallic Au₇Ag₈ counterparts. Thermal catalysis applications of nanoclusters focus on environmental remediation, where ruthenium nanoclusters facilitate selective reductions under mild conditions. Recent advancements highlight Ru nanoclusters for green conversions, such as efficient nitrate-to-ammonia synthesis at rates of 5.557 mol g_cat⁻¹ h⁻¹, surpassing traditional Haber-Bosch processes while enabling pollutant removal from wastewater. These clusters' high surface-to-volume ratio and tunable coordination environments ensure stability and efficiency in fixed-bed reactors for exhaust gas treatment. In , nanocluster-modified electrodes enhance charge transfer and capacity in batteries and supercapacitors. Doped Au₃₈₋ₓAgₓ nanoclusters integrated with ZIF-8 frameworks serve as electrodes in hybrid supercapacitors, delivering a specific of 378.3 F g⁻¹ and an of 14.75 Wh kg⁻¹ at a of 2212.8 W kg⁻¹, attributed to structural distortions that narrow the HOMO-LUMO gap and improve conductivity.

Biomedical and Sensing Applications

Nanoclusters, particularly those composed of (Au) and (Ag), have emerged as promising in biomedical applications due to their ultrasmall size, , and tunable that enable non-invasive and targeted therapies. Unlike traditional quantum dots, which often contain toxic elements like , Au and Ag nanoclusters exhibit low and favorable renal clearance, making them suitable for use. These properties stem from their molecular-like discrete energy levels, which confer bright and photostability without heavy metal concerns. In bioimaging, fluorescent Au and Ag nanoclusters facilitate high-resolution tracking of biological processes. For instance, DNA-templated Au nanoclusters exhibit bright, stable with minimal , enabling long-term monitoring in cellular environments. Similarly, hydrophilic Ag29 nanoclusters demonstrate and photostability exceeding 24 hours, allowing for effective of tumors and tissues with reduced . These nanoclusters leverage near-infrared emission for deeper tissue penetration compared to organic dyes. Theranostic applications combine diagnostics and treatment using nanocluster platforms, particularly Au25 clusters for photothermal therapy (PTT). Au25 nanoclusters, when conjugated with , lead to effective under near-infrared while enabling simultaneous . In drug delivery, self-assembled Au nanocluster structures encapsulate anticancer agents, providing controlled release at tumor sites due to their pH-responsive disassembly and . This dual functionality improves therapeutic specificity and reduces off-target effects. For sensing applications, nanoclusters enable sensitive detection of small molecules and ions through mechanisms. detection using bovine serum albumin-templated Au nanoclusters (BSA-AuNCs) relies on quenching recovery, achieving a limit of detection () of 8.7 nM in biological samples, which outperforms many conventional probes in selectivity. Biosensors incorporating protein-templated nanoclusters provide advantages in detecting biomolecules like glucose and cancer markers, benefiting from inherent over quantum dots. For glucose sensing, BSA-templated Au nanoclusters integrated with exhibit enhancement proportional to glucose concentration, enabling enzymatic detection with LODs in the micromolar range suitable for point-of-care diagnostics. In cancer detection, human serum albumin-templated Au nanoclusters selectively target overexpressed markers on tumor cells, offering superior specificity and minimal compared to nanocrystals. These systems highlight the role of protein scaffolds in stabilizing nanoclusters for reliable, in vivo-compatible sensing.

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