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Nanostructure

A nanostructure is defined as a material or device having at least one dimension in the range of 1 to 100 nanometers (ISO/TS 80004-1), positioning it between molecular and bulk scales where quantum mechanical effects become prominent.^[1]^[2] This size regime leads to exceptional properties, including a high surface-to-volume ratio that enhances reactivity and mechanical strength, as well as quantum confinement that alters electrical, optical, and magnetic behaviors compared to their bulk counterparts.^[3] Nanostructures are classified by dimensionality into zero-dimensional (0D), one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D) categories, each offering distinct functionalities.^[4] 0D nanostructures, such as nanoparticles and quantum dots, confine electrons in all three dimensions, enabling tunable optical properties like size-dependent emission in CdSe quantum dots for biological imaging.^[3] 1D nanostructures, including nanowires and carbon nanotubes, exhibit anisotropic growth and ballistic electron transport, supporting applications in nanoelectronics and sensors.^[1] 2D nanostructures, exemplified by graphene and transition metal dichalcogenides, provide exceptional electrical conductivity and flexibility, ideal for flexible electronics and energy storage devices.^[4] 3D nanostructures, such as nanocomposites and aerogels, integrate lower-dimensional components to achieve hierarchical structures with enhanced mechanical and thermal properties.^[5] The synthesis of nanostructures employs bottom-up approaches, like chemical vapor deposition and self-assembly, or top-down methods, such as lithography, to precisely control size, shape, and composition.^[6] These materials have revolutionized fields including biomedicine—where gold nanoparticles enable targeted drug delivery and diagnostics—energy technologies, such as efficient solar cells and batteries via nanostructured electrodes, and environmental remediation through photocatalytic nanostructures.^[6] Ongoing research focuses on scalability, biocompatibility, and integration into real-world devices to harness their full potential.^[7]

Definition and Fundamentals

Definition

A nanostructure is defined as a material or system whose structural elements—such as clusters, crystallites, or molecules—have at least one dimension in the range of 1 to 100 nanometers, a scale at which quantum confinement effects and pronounced surface properties significantly influence behavior.^[8] According to ISO/TS 80004-4:2011, nanostructured materials have an internal or surface structure with a significant fraction of features, grains, voids, or precipitates in the nanoscale.^[9] At this nanoscale, the discrete nature of atomic arrangements leads to phenomena like altered electronic band structures and increased dominance of surface atoms over bulk interior ones, distinguishing nanostructures from larger microscopic systems.^[2] In contrast to the broader category of nanomaterials, which includes any substance with nanoscale components regardless of organization, nanostructures emphasize deliberate, ordered atomic or molecular configurations that exploit nanoscale geometry for unique functionalities.^[10] This structural specificity allows for tailored properties not achievable in conventional materials, such as enhanced optical or mechanical responses due to the interplay of size and arrangement.^[11] A key principle underlying nanostructures is the dramatic increase in surface-to-volume ratio as dimensions shrink, which amplifies surface-driven effects like reactivity, catalytic activity, and energy storage capacity while enabling quantum effects such as size-dependent bandgap tuning.^[12] For instance, this ratio can rise exponentially with decreasing particle size, leading to behaviors where surface interactions govern overall material performance rather than volume-averaged properties.^[13] Basic forms include nanoparticles, nanotubes, and nanofilms, which illustrate how dimensional constraints at the nanoscale can yield emergent properties like improved conductivity or luminescence.^[14] These structures are often classified by the number of confined dimensions, from zero to three, to highlight their varying impacts on material characteristics.^[15]

Dimensionality and Classification

Nanostructures are classified according to the number of dimensions confined to the nanoscale (typically below 100 nm), a criterion that governs the extent of quantum confinement on electron wavefunctions and profoundly influences their electronic, optical, and mechanical behaviors.^[16] This classification arises from quantum mechanical principles, where spatial restriction in one or more directions quantizes energy levels, modifies the density of states, and enhances properties like bandgap tunability and charge carrier mobility compared to bulk materials.^[17] The degree of confinement decreases from zero-dimensional (0D) to three-dimensional (3D) structures, leading to progressively weaker quantum effects and behaviors that approach those of conventional solids.^[18] In 0D nanostructures, all three dimensions are confined, resulting in point-like structures such as quantum dots, where electron wavefunctions are fully restricted, producing discrete energy levels and strong size-dependent quantum effects that dominate optical absorption and emission spectra. This complete confinement amplifies quantum behaviors, enabling precise control over electronic properties through size variation.^[18] One-dimensional (1D) nanostructures confine two dimensions, yielding elongated forms like nanowires, with quantum effects primarily influencing transport along the unconfined length while maintaining anisotropy in mechanical and electrical responses.^[17] The partial confinement here leads to behaviors such as enhanced electron mobility in the free dimension, distinct from the isotropic nature of bulk counterparts.^[16] Two-dimensional (2D) nanostructures restrict one dimension, creating sheet-like architectures exemplified by graphene, where quantum confinement perpendicular to the plane alters in-plane conductivity and mechanical strength, often resulting in Dirac-like electronic dispersion.^[19] This configuration produces behaviors like exceptional carrier velocities and tunable bandgaps under strain or layering.^[17] Three-dimensional (3D) nanostructures lack strict dimensional confinement but feature nanoscale components arranged in bulk-like volumes, such as nanocomposites, where quantum effects are minimal and properties emerge from collective interactions, bridging nanoscale enhancements with macroscopic functionality.^[16] Overall, dimensionality dictates the balance between quantum confinement and classical diffusion, with lower dimensions fostering emergent phenomena critical for advanced technologies.^[17]

Historical Development

Early Discoveries

The use of nanostructures dates back to ancient civilizations, where artisans inadvertently harnessed nanoscale materials for enhanced material properties. In Damascus steel, forged primarily between the 8th and 18th centuries in the Middle East and India, the exceptional strength and distinctive patterns arose from nanoscale cementite (iron carbide) nanowires and carbon nanotubes embedded within the metal matrix, as revealed by high-resolution electron microscopy analysis of a 17th-century saber. Similarly, medieval stained-glass windows from the 12th to 16th centuries in Europe achieved their vibrant ruby-red hues through the incorporation of gold nanoparticles, typically around 30-50 nm in size, which scattered light in a size-dependent manner to produce the desired color without altering the glass's transparency.^[20] These early applications demonstrate serendipitous nanotechnology, where nanoscale structures improved aesthetics and durability long before their scientific identification. The 19th century marked the beginning of intentional scientific exploration of nanostructures, with Michael Faraday's pioneering work on colloidal metals laying foundational insights into nanoscience. In his 1857 Bakerian Lecture to the Royal Society, Faraday described the preparation of stable colloidal gold suspensions—finely divided gold particles dispersed in water—observing that these "ruby gold" solutions exhibited intense red colors due to the particles' submicron size, which influenced light interaction through absorption and scattering.^[21] Faraday's experiments, including the reduction of gold chloride with phosphorus to form particles averaging 5-10 nm, highlighted the dependence of optical properties on particle size and marked the first systematic study of what would later be recognized as nanomaterials, establishing him as a key figure in the origins of nanoscience.^[22] In the early 20th century, investigations into carbon-based materials further uncovered nanostructured forms through analysis of soot and related substances. Carbon black, produced via incomplete combustion and consisting of aggregated carbon nanoparticles typically 10-100 nm in diameter, gained recognition around 1912 for its ability to reinforce rubber, enhancing tensile strength and wear resistance in tires—a property attributable to its nanoscale morphology.^[20] Early soot analyses during this period, including those of industrial carbon blacks derived from lampblack processes, revealed complex nanoscale carbon clusters and polyaromatic structures that served as precursors to later-identified fullerenes, providing inadvertent glimpses into carbon nanostructure formation without contemporary awareness of their atomic-scale organization.^[23]

Key Milestones in the 20th and 21st Centuries

The development of electron microscopy in the mid-20th century revolutionized the ability to visualize structures at the nanoscale, with transmission electron microscopes (TEMs) achieving resolutions down to 1 nm by the 1950s and becoming widely available for materials science applications through the 1980s.^[24] This technological advancement allowed researchers to observe atomic arrangements in solids, laying the groundwork for deliberate nanostructure studies. In 1959, physicist Richard Feynman delivered his seminal lecture "There's Plenty of Room at the Bottom," envisioning the manipulation of individual atoms and molecules through miniaturized tools, which inspired future generations of nanoscientists.^[25] In 1974, Norio Taniguchi coined the term "nanotechnology" to describe processes for producing nanoscale structures, particularly in semiconductor manufacturing.^[26] A pivotal breakthrough occurred in 1981 with the invention of the scanning tunneling microscope (STM) by Gerd Binnig and Heinrich Rohrer at IBM, enabling atomic-resolution imaging and manipulation of surfaces under vacuum conditions. This instrument, recognized with the 1986 Nobel Prize in Physics, marked the emergence of nanofabrication tools capable of probing and altering matter at the atomic scale. In 1985, Harold W. Kroto, Robert F. Curl, and Richard E. Smalley discovered buckminsterfullerene (C60), a stable, soccer-ball-shaped carbon molecule produced via laser vaporization of graphite, ushering in the era of discrete carbon nanostructures.^[27] Their work, honored with the 1996 Nobel Prize in Chemistry, demonstrated that carbon could form closed-shell architectures beyond diamond and graphite.^[28] The field advanced further in 1991 when Sumio Iijima at NEC Corporation identified multi-walled carbon nanotubes using high-resolution TEM, revealing helical graphite tubules with diameters of 1-10 nm synthesized from arc-discharge evaporation.^[29] These structures exhibited unique one-dimensional properties, sparking intense research into their synthesis and applications. In 1993, Sumio Iijima and colleagues reported the synthesis of single-walled carbon nanotubes, which consist of a single layer of graphite rolled into a tube, offering even more pronounced one-dimensional properties.^[30] In 2000, the United States launched the National Nanotechnology Initiative (NNI), a coordinated federal program allocating nearly $500 million in its initial proposed budget for fiscal year 2001 to support interdisciplinary nanostructure research across agencies like NSF and DOE, formalizing nanotechnology as a national priority.^[31] The 21st century saw continued innovation with the 2004 isolation of graphene, a single atomic layer of carbon, by Andre Geim and Konstantin Novoselov at the University of Manchester using mechanical exfoliation from graphite.^[32] This two-dimensional material, with exceptional electronic and mechanical qualities, earned them the 2010 Nobel Prize in Physics and catalyzed the exploration of other atomically thin structures. In 2023, the Nobel Prize in Chemistry was awarded to Moungi G. Bawendi, Louis E. Brus, and Alexei I. Ekimov for the discovery and synthesis of quantum dots, underscoring their tunable optoelectronic properties for applications in displays and biomedicine.^[33] These milestones collectively transformed nanostructures from conceptual curiosities into a cornerstone of modern materials science.

Types of Nanostructures

Zero-Dimensional Nanostructures

Zero-dimensional (0D) nanostructures are nanoscale materials confined in all three spatial dimensions, typically within 1 to 100 nm, resulting in point-like structures with isotropic electron confinement.^[12] This confinement distinguishes them from higher-dimensional nanostructures by producing fully quantized energy states rather than partial delocalization.^[34] Representative examples include semiconductor quantum dots, such as cadmium selenide (CdSe), and metallic nanoparticles, like gold (Au), both of which exhibit size-dependent behaviors unique to 0D systems.^[35] Colloidal synthesis methods dominate the production of 0D nanostructures due to their ability to achieve precise size control and monodispersity through solution-phase reactions.^[36] For CdSe quantum dots, the hot-injection technique—developed in seminal work by Bawendi and coworkers—involves injecting organometallic precursors into a heated coordinating solvent, promoting rapid nucleation followed by controlled growth. This process allows tuning of particle diameters from 2 to 10 nm by adjusting reaction parameters like temperature and precursor concentration, yielding ensembles with narrow size distributions essential for uniform properties.^[37] Similar colloidal approaches apply to Au nanoparticles, often using citrate reduction for stable, spherical particles. The defining physical properties of 0D nanostructures stem from quantum confinement, where charge carriers are restricted in all directions, leading to discrete electronic energy levels instead of continuous bands found in bulk materials.^[34] In semiconductor quantum dots like CdSe, this manifests as a size-tunable bandgap, with the confinement energy \Delta E scaling inversely with the square of the radius r, as captured in the Brus equation:

\Delta E = \frac{\hbar^2 \pi^2}{2 r^2} \left( \frac{1}{m_e^*} + \frac{1}{m_h^*} \right) - \frac{1.8 e^2}{\epsilon r},

where \hbar is the reduced Planck's constant, m_e^* and m_h^* are the effective masses of electrons and holes, e is the electron charge, and \epsilon is the dielectric constant; the dominant term for small r yields \Delta E \propto 1/r^2. For Au nanoparticles, quantum confinement enhances surface plasmon resonance, enabling strong, tunable optical absorption peaks that shift with size from ~520 nm for 10 nm particles to longer wavelengths for larger ones.^[38] These characteristics position 0D nanostructures for emerging roles in optoelectronics and sensing, where size-dependent emission and plasmonic effects enable applications like light-emitting devices and bioimaging probes.^[39]

One-Dimensional Nanostructures

One-dimensional (1D) nanostructures are characterized by their elongated, wire-like geometry, where two dimensions are confined to the nanoscale (typically 1–100 nm), while the third dimension can extend to micrometers or longer, resulting in high aspect ratios often exceeding 1000:1. This linear morphology imparts anisotropic properties, such as directional electron and phonon transport, distinguishing them from zero-dimensional structures that exhibit isotropic quantum confinement. Prominent examples of 1D nanostructures include carbon nanotubes (CNTs) and semiconductor nanowires. CNTs exist in single-walled (SWCNTs) and multi-walled (MWCNTs) forms, with SWCNTs consisting of a single graphene sheet rolled into a seamless cylinder of ~1 nm diameter, while MWCNTs feature concentric layers. Semiconductor nanowires, such as silicon (Si) and zinc oxide (ZnO), are solid crystalline rods with diameters of 5–100 nm and lengths up to several micrometers, enabling applications in electronics and sensing due to their tunable conductivity.^[40] A key structural variation in SWCNTs arises from their chirality, defined by the roll-up direction of the graphene lattice via the chiral vector (n,m), which determines whether the nanotube is metallic or semiconducting. Armchair (n=n, m=0) and certain chiral configurations exhibit metallic behavior with zero bandgap, while others are semiconducting; approximately two-thirds of SWCNTs are semiconducting based on random chirality distribution. For semiconducting SWCNTs, the bandgap E_g is inversely proportional to the diameter d (in nm), approximated by the tight-binding model as

E_g \approx \frac{0.8}{d} \quad (\text{eV}),

leading to bandgaps of ~0.5–1.5 eV for typical diameters.^[41]^[41] The high aspect ratios of 1D nanostructures facilitate ballistic transport, where charge carriers travel without significant scattering over mean free paths of tens to hundreds of micrometers at room temperature, particularly in metallic CNTs and clean nanowires. This phenomenon arises from reduced dimensionality, minimizing phonon interactions and enabling quantum conductance quantized in units of $2e^2/h. In MWCNTs, room-temperature ballistic conduction has been observed with currents up to 1 mA per tube, limited primarily by contact resistance rather than intrinsic scattering. Template-assisted growth is a common fabrication method for 1D nanostructures, involving the use of nanoporous templates like anodic aluminum oxide (AAO) to confine material deposition and dictate uniform diameter and alignment. This bottom-up approach, often via electrodeposition or chemical vapor deposition within template pores, yields high-density arrays of nanowires (e.g., Si or ZnO) with precise control over dimensions, facilitating scalable production for device integration.^[42]^[42]

Two-Dimensional Nanostructures

Two-dimensional nanostructures are atomically thin materials typically one or a few atomic layers thick, exhibiting sheet-like geometries where surface atoms dominate interactions and properties, leading to pronounced quantum confinement effects perpendicular to the plane. Unlike bulk materials, these structures display enhanced reactivity, tunable electronic band structures, and superior mechanical flexibility due to the prevalence of van der Waals bonding between layers and strong in-plane covalent interactions. This dimensionality imparts unique behaviors, such as high specific surface areas that amplify catalytic and sensing capabilities. Prominent examples include graphene, a single layer of sp²-hybridized carbon atoms in a hexagonal lattice, first isolated in 2004 by mechanical cleavage from graphite. Transition metal dichalcogenides (TMDCs), such as molybdenum disulfide (MoS₂), form layered crystals where individual monolayers consist of a transition metal plane sandwiched between chalcogen layers, enabling facile exfoliation to yield 2D sheets with semiconductor characteristics. MXenes, a family of 2D transition metal carbides, nitrides, or carbonitrides (e.g., Ti₃C₂Tₓ), are derived from MAX phase precursors through selective etching, resulting in hydrophilic surfaces terminated with functional groups like -OH, -O, or -F that enhance dispersibility in aqueous media. Graphene exemplifies the mechanical prowess of 2D nanostructures, boasting an in-plane Young's modulus of approximately 1 TPa, which surpasses that of diamond and enables applications in flexible electronics. Its electronic properties arise from charge carriers behaving as massless Dirac fermions near the Dirac points, governed by the linear dispersion relation

E = \hbar v_F |k|

where \hbar is the reduced Planck's constant, v_F \approx 10^6 m/s is the Fermi velocity, and k is the wavevector relative to the Dirac point; this relativistic-like spectrum yields ultrahigh electron mobility exceeding 200,000 cm²/V·s at room temperature. In contrast, MoS₂ monolayers exhibit a direct bandgap of ~1.8 eV, facilitating strong photoluminescence, while MXenes demonstrate metallic conductivity up to 24,000 S/cm combined with pseudocapacitive energy storage due to their accordion-like layered morphology. Isolation of 2D nanostructures often relies on mechanical exfoliation, a top-down approach using adhesive tape to repeatedly peel layers from bulk crystals, as initially demonstrated for graphene to produce pristine, defect-free flakes up to micrometers in size. For scalable production, chemical vapor deposition (CVD) enables epitaxial growth of continuous films; for instance, graphene is synthesized by decomposing methane on copper foils at ~1000°C, yielding large-area sheets transferable to arbitrary substrates. Thickness profoundly influences properties: in MoS₂, single layers maintain a direct bandgap conducive to optoelectronics, whereas few-layer stacks (3–5 layers) transition to an indirect bandgap of ~1.2–1.5 eV, suppressing luminescence but enhancing charge transport; similar layer-dependent shifts occur in other TMDCs and MXenes, where interlayer coupling modulates conductivity and stability.

Three-Dimensional Nanostructures

Three-dimensional (3D) nanostructures represent hierarchical assemblies where nanoscale features extend across all three spatial dimensions, enabling volumetric integration of lower-dimensional building blocks such as nanoparticles, nanowires, or nanosheets into complex, bulk-like architectures.^[43] These structures often exhibit emergent properties arising from the ordered arrangement of their constituents, distinguishing them from isolated lower-dimensional forms by their ability to achieve macroscopic functionality through nanoscale precision. Prominent examples of 3D nanostructures include nanocomposites, which disperse nanomaterials within a continuous matrix to form reinforced composites with enhanced mechanical and thermal properties.^[6] Aerogels, such as silica aerogels, exemplify ultra-lightweight porous networks formed by sol-gel processes followed by supercritical drying, achieving porosities exceeding 99% while maintaining structural integrity.^[44] Porous nanomaterials like mesoporous silica further illustrate this category, featuring ordered pore networks with diameters of 2-50 nm that facilitate high surface areas up to 1000 m²/g. Key architectures in 3D nanostructures encompass core-shell configurations, where a nanoscale core is encapsulated by a shell of different material, often assembled into larger superstructures for improved stability and multifunctionality; for instance, polymer-coated nanoparticle aerogels demonstrate mechanically robust core-shell assemblies.^[44] Dendrimers constitute highly branched, globular macromolecules with precise 3D dendritic architectures, typically 1-10 nm in diameter, synthesized via divergent or convergent methods to yield generations of repeating units around a central core.^[45] Supercrystals, meanwhile, form as ordered 3D lattices of colloidal nanocrystals, akin to atomic crystals but on the nanoscale, with interparticle spacings of 1-10 nm that mimic bulk crystal symmetries like face-centered cubic arrangements. These architectures derive unique properties from their 3D organization, particularly enhanced porosity that boosts catalytic efficiency by providing ample active sites and diffusion pathways; for example, mesoporous silica's tunable pores enable selective catalysis in reactions like hydrocarbon cracking. Multifunctionality emerges from integrating lower-dimensional elements, such as embedding 1D nanowires into aerogel matrices to combine electrical conductivity with thermal insulation.^[46] In nanocomposites, this integration yields synergistic effects, like improved catalytic performance in porous carbon-metal hybrids due to stabilized nanoparticle dispersion.^[47] The assembly of 3D nanostructures often relies on self-organization principles, where colloidal interactions drive the formation of lattices through evaporation-induced ordering or emulsion templating.^[43] Seminal work on supercrystal formation highlights how ligand-stabilized nanocrystals self-assemble into thermodynamically stable 3D arrays, governed by van der Waals forces and electrostatic repulsion at the nanoscale. In dendrimer synthesis, iterative branching promotes radial growth into compact 3D shapes, while core-shell assemblies leverage sequential deposition to build hierarchical shells around cores.^[44] These bottom-up processes enable scalable production of ordered 3D lattices with long-range periodicity, essential for applications in energy storage and sensing.^[48]

Synthesis Methods

Top-Down Fabrication Techniques

Top-down fabrication techniques involve the subtractive patterning of bulk materials to create nanostructures, typically through a combination of lithography for defining patterns and etching for material removal. These methods draw from established semiconductor manufacturing processes, enabling precise control over feature sizes down to the nanoscale. Lithography establishes a mask or template on the substrate surface, while subsequent etching transfers the pattern into the underlying material by selectively removing exposed regions. This approach is particularly suited for producing uniform, large-area nanostructures compatible with industrial integration.^[49] Key lithographic techniques include photolithography, electron beam lithography (EBL), and nanoimprint lithography (NIL). Photolithography employs ultraviolet light passed through a photomask to expose a photoresist layer on the substrate, creating soluble and insoluble regions that define the pattern after development; resolution is diffraction-limited to around 100 nm but can reach 65-130 nm with deep ultraviolet variants and sub-10 nm with extreme ultraviolet systems. EBL uses a focused electron beam to directly write patterns into an electron-sensitive resist without a mask, achieving resolutions below 10 nm due to the short de Broglie wavelength of electrons, though it suffers from proximity effects where scattered electrons blur nearby features. NIL, pioneered by Chou et al. in 1995, mechanically imprints a nanoscale mold into a polymer resist under heat or UV curing, replicating features as small as 10 nm with high fidelity and throughput superior to EBL. These methods often produce one-dimensional nanowires or two-dimensional arrays by patterning lines or grids on substrates like silicon.^[49]^[50] Etching processes, such as reactive ion etching (RIE) and focused ion beam (FIB) milling, are essential for transferring lithographic patterns into the bulk material. RIE combines chemical reactions from plasma-generated radicals with physical sputtering from accelerated ions, enabling anisotropic etching with aspect ratios exceeding 10:1 and resolutions around 10 nm, making it ideal for deep trenches in silicon nanostructures. FIB employs a finely focused gallium ion beam to sputter material directly, allowing maskless prototyping of features down to 5-10 nm but limited to small areas due to serial processing. These techniques evolved from microscale fabrication in the 1960s, driven by the semiconductor industry's push toward smaller features under Moore's law, transitioning to nanoscale precision in the late 1960s and 1970s with the advent of EBL and advanced etching for integrated circuits.^[50]^[50]^[49] Top-down methods offer significant advantages, including seamless compatibility with existing cleanroom infrastructure and the ability to produce defect-free, scalable nanostructures for electronics, but they are hindered by high equipment costs—often millions of dollars for EBL systems—and low throughput for serial techniques like FIB, limiting their use to prototyping or low-volume production.^[49]^[50]

Bottom-Up Assembly Approaches

Bottom-up assembly approaches in nanostructure fabrication involve constructing materials from atomic, molecular, or supramolecular building blocks, enabling precise control over architecture at the nanoscale through self-organization or directed synthesis.^[51] These methods contrast with top-down techniques by relying on chemical and physical principles to build structures incrementally, often in solution or vapor phases, to achieve atomic-scale precision.^[52] Key techniques include chemical vapor deposition (CVD), which decomposes gaseous precursors on a substrate to grow nanostructures like carbon nanotubes and graphene. In CVD for single-walled carbon nanotubes, hydrocarbons such as methane are catalytically decomposed over metal particles (e.g., iron or cobalt) at temperatures around 700–1000°C, leading to tubular structures with diameters of 1–2 nm.^[53] Similarly, CVD on copper foils at 1000°C using methane enables large-area graphene films, where carbon atoms diffuse across the metal surface and precipitate as a continuous 2D sheet upon cooling. For zero-dimensional nanoparticles, the sol-gel process hydrolyzes and condenses metal alkoxides in solution to form oxide networks, yielding uniform particles like silica nanoparticles with sizes tunable from 10–100 nm via control of precursor concentration and pH.^[54] Self-assembly techniques further exemplify bottom-up strategies; for instance, DNA origami folds a long single-stranded DNA scaffold with short staple strands into custom 2D shapes (e.g., squares or stars) measuring 100 nm across, driven by base-pairing specificity at room temperature.^[55] Block copolymer self-assembly, meanwhile, phase-separates immiscible polymer blocks into periodic domains, such as cylinders or lamellae with 10–50 nm features, useful for templating inorganic nanostructures.^[56] The underlying mechanisms are governed by thermodynamic driving forces, primarily the minimization of surface free energy, which favors compact structures over dispersed ones. In self-assembly, this occurs via reversible non-covalent interactions like hydrogen bonding or van der Waals forces, allowing error correction during formation.^[51] For directed growth in CVD and sol-gel, kinetic factors such as precursor supersaturation dictate the process; nucleation initiates when monomer concentration exceeds a critical threshold, followed by diffusive attachment to growing clusters.^[57] Advantages of bottom-up assembly include atomic-level precision, potentially surpassing lithographic limits, and scalability through solution-based processing. Layer-by-layer deposition, for example, alternately adsorbs oppositely charged polyelectrolytes onto a substrate, building films with nanometer-thick layers (e.g., 1–5 nm per bilayer) over large areas at ambient conditions, enabling multifunctional coatings like sensors or drug delivery matrices. This method's versatility supports integration of diverse components, such as nanoparticles within polymer matrices, without specialized equipment.^[58] For zero- and one-dimensional nanostructures, nucleation and growth kinetics are particularly critical. In nanoparticle synthesis (0D), the radius growth rate follows \frac{dR}{dt} \propto S - 1, where S is the supersaturation ratio, ensuring monodisperse sizes by separating nucleation (high S) from growth (low S) phases.^[57] For one-dimensional structures like nanowires or nanotubes, anisotropic growth kinetics favor elongation along preferred crystallographic directions, with rates enhanced by catalysts that lower activation barriers, yielding lengths up to microns while maintaining nanoscale diameters.^[52] These principles enable high-yield production, as demonstrated in CVD where supersaturation control via gas flow yields aligned nanotube arrays with densities exceeding 10^10 cm^{-2}.^[53]

Physical and Chemical Properties

Mechanical and Structural Properties

Nanostructures exhibit mechanical properties that differ markedly from their bulk counterparts due to size-dependent effects, where reduced dimensions lead to fewer defects and a higher proportion of surface atoms, which can enhance overall strength and elasticity through stiffening or softening depending on the material. In carbon nanotubes (CNTs), for instance, the absence of grain boundaries and dislocations results in tensile strengths approaching 150 GPa for multiwalled variants, far surpassing the ~1 GPa typical of high-strength steels, as measured via in-situ tensile testing in a transmission electron microscope. This superior yield strength arises from the seamless cylindrical structure, minimizing sites for crack initiation. Similarly, two-dimensional (2D) materials like graphene demonstrate exceptional elasticity, sustaining strains up to 25% before fracture while maintaining a Young's modulus of approximately 1 TPa, reflecting the robust sp² carbon bonding network. Structural properties at the nanoscale are dominated by atomic-scale arrangements, where lattice distortions and defects such as vacancies and dislocations play amplified roles due to the high surface-to-volume ratio. Vacancies, for example, create local strain fields that distort the surrounding lattice by up to several percent, altering phonon propagation and mechanical stability in materials like metal oxides. Dislocations, often confined or partial in nanostructures, induce non-uniform strain gradients that can either strengthen the material by impeding further slip or weaken it through localized stress concentrations, with effects scaling inversely with size—becoming dominant below 10 nm. These defects are particularly pronounced in ion-implanted or synthesized nanostructures, where even low-dose irradiation causes persistent lattice distortions observable via advanced imaging. The scaling of Young's modulus in nanostructures exhibits size-dependent behavior, with surface effects potentially leading to either softening or stiffening of the effective stiffness; for ZnO nanowires, the modulus increases from ~140 GPa in bulk to ~220 GPa for 17 nm diameters, as determined by in-situ resonant testing in a transmission electron microscope.^[59] Surface stress further influences this behavior, inducing intrinsic biaxial tension modeled by \sigma = \frac{\gamma}{h}, where \sigma is the stress, \gamma the surface tension, and h the thickness, leading to compressive or tensile strains in ultrathin films that modify elastic response. In 2D sheets, this equation highlights how atomic-scale thickness amplifies stress, potentially increasing modulus by 10-20% in freestanding graphene. Mechanical and structural characterization of nanostructures relies on techniques like nanoindentation and atomic force microscopy (AFM), which probe local responses at the nanoscale. Nanoindentation applies controlled loads via a diamond tip to measure hardness and modulus through load-displacement curves, revealing, for example, the nonlinear elasticity of suspended graphene membranes. AFM complements this by mapping surface topography and performing indentation with a sharp cantilever, enabling simultaneous visualization and quantification of defect-induced variations in stiffness across individual nanostructures.

Chemical Properties

Nanostructures often display enhanced chemical properties due to their high surface-to-volume ratio, which increases the proportion of surface atoms available for interactions. This leads to greater chemical reactivity compared to bulk materials, enabling applications in catalysis where nanoparticles exhibit superior activity and selectivity. For instance, metal nanoparticles like platinum can show significantly higher catalytic efficiency for reactions such as hydrogen oxidation due to undercoordinated surface sites. Additionally, the altered electronic structure from quantum confinement can modify chemical bonding and stability, influencing dissolution rates and toxicity in biological environments.^[12]

Electronic and Optical Properties

Nanostructures exhibit distinctive electronic properties arising from quantum confinement effects, where the spatial restriction of charge carriers to dimensions comparable to their de Broglie wavelength results in discrete energy levels rather than continuous bands observed in bulk materials.^[60] In zero-dimensional (0D) structures like quantum dots, this confinement quantizes energy states into atomic-like shells, altering the band structure and enabling phenomena such as single-electron charging.^[61] For one-dimensional (1D) nanostructures, such as nanowires or nanotubes, the density of states deviates significantly from the bulk parabolic form; in 1D systems with parabolic dispersion, the density of states g(E) follows g(E) \propto \frac{1}{\sqrt{E}}, leading to enhanced carrier densities near the band edges and van Hove singularities.^[62] Charge transport in these low-dimensional systems is dominated by quantum tunneling rather than classical diffusion, particularly in 0D and 1D configurations. In quantum dots, the Coulomb blockade effect manifests as a suppression of current at low biases due to the discrete charging energy E_c = e^2 / 2C, where C is the dot capacitance, requiring an external bias to overcome the energy barrier for sequential electron tunneling.^[63] This quantization enables precise control over electron occupancy, with applications in single-electron transistors. In contrast to bulk semiconductors, where scattering limits mean free paths to nanometers, 1D carbon nanotubes support ballistic conduction over micrometer lengths at room temperature, as electrons traverse the structure without significant scattering, yielding conductances quantized in units of $2e^2 / h.^[64] Optically, nanostructures display enhanced light-matter interactions due to these confinement effects. In metallic nanoparticles, localized surface plasmon resonances arise from collective oscillations of conduction electrons, with the resonance frequency exhibiting size dependence; for small particles, approximations show \omega \propto 1 / \sqrt{r} in certain quantum-corrected models accounting for electron spill-out and confinement.^[65] Semiconductor quantum dots, meanwhile, allow tuning of photoluminescence emission wavelength through size variation, as quantum confinement increases the effective bandgap according to the particle-in-a-box model, shifting emission from infrared to visible as diameters decrease from 10 nm to 2 nm.^[66] This tunability stems from the inverse relationship between confinement energy and nanostructure size, enabling color-selective emitters with narrow linewidths.

Characterization Techniques

Imaging and Microscopy Methods

Scanning electron microscopy (SEM) is a widely used technique for visualizing the surface morphology and topography of nanostructures, operating by scanning a focused beam of electrons across a sample to generate signals such as secondary electrons and backscattered electrons that form high-resolution images.^[67] The resolution of SEM typically reaches down to 1-10 nm, enabling detailed examination of nanostructure shapes, sizes, and surface features like pores or aggregations in materials such as nanoparticles or nanowires.^[68] In applications, SEM excels at mapping the three-dimensional topography of nanostructures, providing insights into their assembly and defects, which is crucial for understanding structural properties in one-, two-, and three-dimensional forms.^[69] Transmission electron microscopy (TEM) offers superior resolution for internal structural analysis of nanostructures, transmitting a high-energy electron beam through ultra-thin samples to produce two-dimensional images based on transmitted electrons, with resolutions approaching 0.1 nm under optimal conditions.^[70] This high resolution allows visualization of atomic arrangements, lattice fringes, and defects within nanostructures, such as crystal planes in quantum dots or layer stacking in graphene sheets.^[71] Scanning TEM (STEM), a variant of TEM, utilizes a focused probe to scan the sample, where contrast mechanisms like Z-contrast—arising from the atomic number (Z) dependence of Rutherford scattering—enable differentiation of elements based on brightness proportional to Z², facilitating imaging of compositional interfaces in hybrid nanostructures.^[72] Atomic force microscopy (AFM) provides nanoscale surface profiling by raster-scanning a sharp probe over the sample, measuring forces between the tip and surface to generate topographic maps with sub-nanometer vertical resolution and lateral resolution down to ~1 nm.^[73] Operating in modes such as contact, tapping, or non-contact, AFM is particularly suited for delicate nanostructures, revealing surface roughness, height profiles, and mechanical variations in materials like carbon nanotubes or thin films without requiring vacuum conditions.^[74] These techniques support in-situ imaging capabilities to observe dynamic processes in nanostructures, such as growth, deformation, or phase transitions under environmental stimuli like temperature or electric fields, integrating SEM, TEM, or AFM holders that maintain resolution while allowing real-time monitoring.^[75] For instance, in-situ TEM can capture atomic-scale movements during mechanical loading, linking dynamics to structural evolution.^[76] Advancements in aberration-corrected TEM, developed since the early 2000s, have dramatically improved imaging by compensating for lens aberrations, achieving sub-angstrom resolution and enabling direct visualization of light elements and beam-sensitive nanostructures with reduced damage.^[77] This correction enhances contrast and signal-to-noise ratios, allowing precise mapping of atomic positions in complex nanostructures like perovskites or 2D heterostructures.^[78]

Analytical and Spectroscopic Techniques

Analytical and spectroscopic techniques play a crucial role in elucidating the chemical composition, bonding environments, and electronic structures of nanostructures, enabling the identification of surface modifications, elemental distributions, and defect states that influence their properties. These methods provide non-destructive or minimally invasive probes at the atomic and molecular levels, complementing imaging approaches by focusing on spectroscopic signatures rather than morphology alone. X-ray photoelectron spectroscopy (XPS) is widely employed for surface-sensitive analysis of nanostructures, typically probing the top 5–10 nm of a sample by measuring the kinetic energies of photoelectrons emitted upon X-ray irradiation. The binding energy of core-level electrons shifts due to chemical environments, allowing differentiation of oxidation states and coordination in nanomaterials; for instance, in transition metal oxide nanoparticles, shifts in the O 1s peak reveal surface hydroxylation or doping effects. Quantitative analysis via peak fitting yields elemental ratios and depth profiles when combined with angle-resolved measurements, essential for understanding reactivity in catalytic nanostructures. Raman spectroscopy offers insights into vibrational and rotational modes, facilitating the characterization of lattice dynamics and defects in nanostructures through inelastic light scattering. In two-dimensional materials like graphene, the G band at approximately 1580 cm⁻¹ arises from in-plane sp² carbon stretching vibrations, while the D band at around 1350 cm⁻¹ signals breathing modes of sp³-hybridized six-atom rings associated with defects or edges. The ratio of D to G peak intensities (I_D/I_G) serves as a quantitative metric for defect density, with higher ratios indicating increased disorder from irradiation or chemical functionalization. This technique is particularly valuable for non-destructive, in-situ monitoring of 2D nanostructures during synthesis or processing. Energy-dispersive X-ray (EDX) spectroscopy, often integrated with scanning electron microscopy (SEM) or transmission electron microscopy (TEM), detects characteristic X-rays generated by electron beam interactions to map elemental compositions spatially. In SEM-EDX, resolutions of 1–5 µm suffice for bulk nanomaterial distributions, whereas TEM-EDX achieves sub-nanometer precision for core-shell structures, such as elemental segregation in alloy nanoparticles. Quantitative elemental mapping corrects for matrix effects using standards, revealing inhomogeneities like impurity clustering that affect electronic properties. Defect detection is indirect through associated elemental variations, such as oxygen enrichment at lattice imperfections.^[79] Synergistic use of electron energy loss spectroscopy (EELS) within TEM enhances analytical capabilities by analyzing energy losses of transmitted electrons, providing both elemental and electronic structure data at atomic scales. Core-loss EELS edges enable fine-structure analysis for bonding states, while low-loss regions detect plasmons or excitons indicative of defects; for example, in carbon nanotubes, shifts in the π* peak near 285 eV signal sp² defect disruptions. Combining EELS with TEM imaging yields correlative maps of composition and defects, such as vacancy sites in 2D materials, with quantification via cross-sections for concentrations down to single atoms. This integration is pivotal for validating nanostructure integrity in device applications.^[80]

Applications

In Electronics and Optoelectronics

Nanostructures have revolutionized electronics by enabling devices with enhanced performance at the nanoscale, where quantum effects and high surface-to-volume ratios play crucial roles. In transistor technology, silicon nanowires serve as channels in field-effect transistors (FETs), offering superior electrostatic control and reduced short-channel effects compared to bulk silicon devices. For instance, gate-all-around nanowire FETs achieve sub-10 nm gate lengths while maintaining high on/off current ratios exceeding 10^6, allowing for faster switching speeds up to 100 GHz. These advancements stem from the nanowires' ability to confine carriers effectively, drawing on their electronic properties such as tunable bandgaps. Carbon nanotube (CNT)-based interconnects represent another key application, addressing the limitations of copper in scaling down integrated circuits by providing lower resistance and higher current densities. Single-walled CNTs exhibit ballistic transport with mean free paths over 1 μm, reducing interconnect resistance by up to 50% compared to copper at 22 nm nodes, which enhances power efficiency in high-performance computing. In flexible electronics, graphene nanostructures enable bendable transistors and circuits due to their exceptional mechanical flexibility and carrier mobility exceeding 100,000 cm²/V·s in two-dimensional (2D) FETs. These properties allow devices to withstand bending radii as small as 1 mm without performance degradation, paving the way for wearable and foldable electronics. Optoelectronics benefits from nanostructures through improved light-matter interactions, particularly in light-emitting diodes (LEDs) and sensors. Quantum dot LEDs (QD-LEDs) utilize colloidal semiconductor nanocrystals, such as CdSe or InP, to achieve narrow emission spectra with full width at half maximum below 30 nm and external quantum efficiencies surpassing 20%, enabling vibrant displays with lower power consumption. Plasmonic nanostructures, including gold or silver nanoparticles, enhance sensor sensitivity by localizing electromagnetic fields, achieving detection limits down to single molecules in surface-enhanced Raman scattering (SERS) platforms. In solar cells, nanostructures like nanowires and nanoparticles facilitate light trapping and charge separation, boosting efficiency. Silicon nanowire arrays in photovoltaic devices increase absorption via multiple scattering, yielding power conversion efficiencies up to 15% in thin-film configurations, a significant gain over planar silicon counterparts. Perovskite nanostructures further exemplify this, with quantum dots enhancing stability and efficiency to over 18% by reducing recombination losses. These optoelectronic applications underscore nanostructures' role in compact, efficient devices for displays, sensing, and energy harvesting in electronics.

In Biomedicine and Energy

Nanostructures have revolutionized biomedicine by enabling targeted drug delivery, enhanced imaging, and precise therapies, leveraging their unique size-dependent properties to interact effectively with biological systems. Liposomes, phospholipid-based nanoparticles, serve as versatile carriers for encapsulating hydrophilic and hydrophobic drugs, improving bioavailability and reducing systemic toxicity through controlled release mechanisms. For instance, liposomal formulations like Doxil have been FDA-approved for cancer treatment, demonstrating prolonged circulation times and site-specific delivery via the enhanced permeability and retention effect.^[81]^[82] Biocompatibility is a key factor in these applications, influenced by factors such as surface charge, size, and composition, which determine cellular uptake and minimal immune response; neutral or zwitterionic coatings on liposomes enhance stealth properties, mitigating opsonization and extending half-life in vivo.^[83]^[84] In imaging, nanostructures act as contrast agents to improve resolution and specificity in techniques like MRI and CT, where superparamagnetic iron oxide nanoparticles provide T2-weighted contrast for tumor detection, offering higher sensitivity than traditional gadolinium chelates. Gold nanoparticles and quantum dots further enable multimodal imaging, combining optical and X-ray capabilities for real-time monitoring of disease progression. Targeted therapies exploit nanostructures' optical properties, such as gold nanorods, which absorb near-infrared light to generate localized heat for photothermal ablation of cancer cells, achieving up to 90% tumor reduction in preclinical models with minimal off-target effects.^[85]^[86]^[87] In energy applications, nanostructures enhance storage and conversion efficiency in devices like batteries and fuel cells. Silicon nanowires as anodes in lithium-ion batteries address volume expansion issues during lithiation, delivering specific capacities exceeding 3000 mAh/g—over ten times that of graphite—while maintaining structural integrity through one-dimensional morphology that facilitates ion diffusion. Platinum nanoparticles in fuel cells reduce catalyst loading to below 0.1 mg/cm² by maximizing surface area for the oxygen reduction reaction, improving power density and durability under operational conditions. Dye-sensitized solar cells benefit from TiO₂ nanotube arrays, which provide oriented electron transport paths, boosting power conversion efficiencies to over 7% compared to nanoparticle counterparts, due to reduced recombination and enhanced dye loading.^[88]^[89]^[90]^[91] Recent advances in the 2020s have focused on perovskite nanostructures for photovoltaics, where nanostructured halide perovskites in tandem cells achieve certified efficiencies above 33%, surpassing single-junction silicon limits through improved light management and defect passivation. These 2D/3D hybrid nanostructures enhance stability against moisture and heat, enabling scalable fabrication via solution processing for cost-effective solar energy harvesting.^[92]^[93]

Challenges and Future Prospects

Safety and Environmental Concerns

Nanostructures, due to their small size and high surface area, can exhibit toxicity that varies with particle dimensions and morphology, influencing cellular uptake and subsequent biological effects. For instance, rod-like gold nanoparticles demonstrate higher toxicity to human skin cells compared to spherical ones of similar size, primarily because of differences in cellular internalization pathways such as endocytosis.^[94] Similarly, cellular uptake of gold nanoparticles is size- and shape-dependent, with larger spherical particles (e.g., 50 nm) showing enhanced delivery potential but also varying cytotoxicity across cell types, including cancer cells.^[95] In carbon nanotubes (CNTs), toxicity often arises from reactive oxygen species (ROS) generation, which interacts with cellular components like mitochondria and membranes, leading to oxidative stress and potential DNA damage.^[96] This ROS-mediated mechanism contributes to broader cytotoxic effects observed in various cell models exposed to CNTs.^[97] Environmentally, nanostructures like silver nanoparticles (AgNPs) pose risks through persistence and bioaccumulation in aquatic systems, where they can accumulate in organisms such as Daphnia magna, disrupting microbial communities and food chains.^[98] Their high reactivity allows AgNPs to release silver ions that exhibit extreme toxicity to non-target bacteria in water streams, exacerbating ecological contamination.^[99] Regulatory frameworks address these concerns through specific guidelines for nanomaterials. Under the European Union's REACH regulation, nanomaterials are defined as chemical substances or materials comprising very small particles of different shapes and sizes no larger than 100 nm and must be registered with detailed information on nanoforms, including hazard assessments, as updated in 2020 to harmonize reporting across substances.^[100] In the United States, the Environmental Protection Agency (EPA) has conducted post-2010 assessments via case studies on nanoscale silver and carbon nanotubes, evaluating environmental fate, exposure, and risk to inform Toxic Substances Control Act (TSCA) reviews for new chemical notices.^[101] These efforts highlight the need for tailored risk evaluations due to unique nanomaterial properties.^[102] To mitigate toxicity, surface coatings are employed to reduce nanoparticle reactivity and cellular interactions. For example, polymer coatings on silver nanoparticles prevent ion release and associated toxicity in biological systems, while EDTMP coatings on metal oxide nanoparticles passivate surfaces, lowering pulmonary inflammation and cytotoxicity in rodent models.^[103] Hydrophobic coatings on zinc oxide nanoparticles similarly decrease environmental toxicity by altering surface charge and limiting ROS production.^[104] Such modifications enhance biocompatibility without compromising functionality in applications like biomedicine.^[105]

Scalability and Emerging Trends

Scalability remains a primary hurdle in nanostructure production, particularly in transitioning from laboratory-scale synthesis to industrial volumes. In bottom-up approaches, such as chemical vapor deposition (CVD), achieving uniform deposition across large areas is challenging due to variations in gas flow, temperature gradients, and precursor distribution, leading to inconsistencies in nanostructure size, morphology, and quality. For instance, in the CVD synthesis of vertically aligned carbon nanotubes, geometric nonuniformities arise from catalytic inefficiencies and reactor non-idealities, often resulting in low material utilization. These issues are exacerbated in scaling up, where reactor design limitations hinder repeatability and increase defect rates in 2D materials like graphene or transition metal dichalcogenides. Top-down methods, including lithography and etching, face significant cost barriers stemming from the need for expensive, precision equipment like electron beam systems, which limit throughput and drive up production expenses— for example, the cost of gold nanoparticles can exceed $80,000 per gram due to complex processing, far surpassing raw material prices. Emerging trends are addressing these challenges through innovative design and integration strategies. Post-2020 advancements in AI-optimized design have enabled predictive modeling of nanostructure properties, accelerating the discovery of optimal synthesis parameters and reducing trial-and-error in production; for example, machine learning algorithms now guide the assembly of carbon nanomaterials and metallic nanoparticles for enhanced uniformity and efficiency.^[106] Hybrid nanostructures, combining materials like 0D quantum dots with 2D sheets or 1D nanowires, are gaining prominence for their synergistic properties, such as improved charge transfer and multifunctionality in optoelectronics and sensing. In quantum computing, 0D nanostructures like semiconductor quantum dots serve as qubits, leveraging quantum confinement for spin manipulation and coherence times exceeding microseconds, with hybrid configurations integrating dots into photonic or superconducting platforms to enable scalable qubit arrays.^[107] Looking ahead to 2025 and beyond, neuromorphic devices based on 2D materials like MoS₂ and WSe₂ promise energy-efficient computing architectures, with 3D-integrated memristor-transistor arrays achieving switching energies as low as 2.9 pJ/bit and footprints of 3–4.5 F², facilitating brain-like processing for AI applications.^[108] Sustainable synthesis methods are also evolving, utilizing renewable resources such as biomass extracts and green solvents to minimize energy use and waste; for instance, bio-mediated approaches yield nanoparticles with controlled sizes while reducing environmental impact compared to traditional chemical routes. Economically, the nanotechnology market is projected to reach approximately $105 billion in 2025, driven by demand in electronics and healthcare, with further growth to over $200 billion by the early 2030s through scalable innovations.^[109]

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Nanostructured silicon for high capacity lithium battery anodes
Nanostructured silicon is promising for high capacity anodes in lithium batteries. The specific capacity of silicon is an order of magnitude higher than that ...
[86]
Sulfur-anchoring synthesis of platinum intermetallic nanoparticle ...
Oct 21, 2021 · Yang et al. show that sulfur-doped carbon supports create strong platinum-sulfur bonds that stabilize small platinum alloy nanoparticles.
[87]
TiO2 nanotubes in dye-sensitized solar cells: Higher efficiencies by ...
... solar cell efficiency of 5.2%. This represents in fact the highest efficiency reported up to now for a purely TiO2 nanotube based solar cell. For mixed ...
[88]
Metal Halide Perovskite for next-generation optoelectronics - eLight
Jan 4, 2023 · Propelling current interest in the 2020s is that MHPs continue to exhibit new and surprising optoelectronic properties, the certified PCE for ...
[89]
A comprehensive review on the advancements and challenges in ...
This review covers perovskite solar cell types, charge transport, tandem cells, and challenges, while also discussing future potential.
[90]
Size/Shape Dependent Toxicity of Gold Nanomaterials in Skin
Spherical gold nanoparticles with different sizes are not inherently toxic to human skin cells, but gold nanorods are highly toxic due to the presence of CTAB ...
[91]
Size- and cell type-dependent cellular uptake, cytotoxicity and ... - NIH
Aug 28, 2019 · The aim of this study was to systematically investigate the effects of particle size on the uptake and cytotoxicity of AuNPs in normal cells and cancer cells
[92]
Assessment of Pristine Carbon Nanotubes Toxicity in Rodent Models
CNTs can induce formation of ROS by interacting with cellular components such as mitochondria and cell membrane and are capable of attenuating intracellular ...
[93]
Cellular Toxicity and Immunological Effects of Carbon-based ...
Apr 11, 2019 · Previous studies reported various toxic effects of carbon nanomaterials, including ROS generation, DNA damage, lysosomal damage, mitochondrial ...
[94]
[PDF] Opinion on Nanosilver: safety, health and environmental effects and ...
Jul 12, 2013 · Silver nanoparticles: behaviour and effects in the aquatic environment. ... Bioaccumulation of silver nanoparticles into Daphnia magna from ...
[95]
Results of the public consultation SCENIHR's preliminary opinion on ...
(2012) have raised concerns regarding the environmental contamination of water streams with nanosilver because of its “extreme toxicity to non-target bacteria.
[96]
Nanomaterials - ECHA - European Union
It is used in different European regulations, including REACH and CLP, to harmonise how nanomaterials are defined across legal frameworks. As of 1 January 2020, ...
[97]
Nanomaterial Case Study: Nanoscale Silver In Disinfectant Spray ...
Mar 20, 2017 · EPA's Nanotechnology White Paper recommends the development of case studies to identify unique risk assessment considerations and research ...Missing: post- | Show results with:post-
[98]
Nanomaterial Case Study: Nanoscale Silver in Disinfectant Spray ...
This draft document presents a case study of engineered nanoscale silver (nano-Ag), focusing on the.Missing: post- | Show results with:post-
[99]
Effect of Surface Coating on the Toxicity of Silver Nanomaterials on ...
We have demonstrated that coating of the silver nanoparticles with a biodegradable polymer prevents the toxicity of the powder. Toxicity mechanism has been ...Missing: mitigation | Show results with:mitigation
[100]
Hydrophobic Surface Coating Can Reduce Toxicity of Zinc Oxide ...
May 7, 2021 · This study evidenced the influence of surface coatings on the physicochemical properties, toxicity, and toxic mechanisms of ZnO-NPs
[101]
Reduction of pulmonary toxicity of metal oxide nanoparticles by ...
Apr 21, 2017 · EDTMP coating could passivate the surface of MOx, reduce their cytotoxicity and pulmonary hazard effects. This coating would be an effective safe design ...