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Nature Nanotechnology · Dec 05, 2025

Bioengineered photosynthetic nanothylakoids reshape the inflammatory microenvironment for rheumatoid arthritis therapy

Reducing individual inflammatory factors does not always translate into clinical efficacy in rheumatoid arthritis (RA), an autoimmune disease characterized by joint inflammation. Proinflammatory M1 macrophages are a key driver of the hyperinflammatory joint microenvironment, which also promotes the progression of RA. Here we show that folate-receptor-targeted photosynthetic nanothylakoid (FA-PEG-NTK)-based phototherapy reprogrammes macrophages from M1 to anti-inflammatory M2, and successfully remodels the inflammatory RA microenvironment. The nanothylakoids were sourced from plant-derived thylakoids and developed by surface modification with distearoyl phosphoethanolamine–polyethylene glycol (PEG) via hydrophobic interactions to preserve their photocatalytic enzymes. We show that upon light irradiation in a mouse macrophage model of inflammation, the FA-PEG-NTK system generates oxygen and nicotinamide adenine dinucleotide phosphate, alleviating hypoxia and reducing reactive oxygen species. This rebalances the oxidative stress in M1 macrophages, thereby remodelling the inflammatory microenvironment in RA. We also show that in a collagen-induced arthritis rat model, FA-PEG-NTK-mediated phototherapy notably alleviated synovial hyperplasia and enhanced bone and cartilage regeneration, outperforming the clinical treatment methotrexate, with no apparent side effects.

Biomedical engineering Drug delivery Nanostructures Tissue engineering and regenerative medicine biology mouse experiments

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Nature Nanotechnology · Dec 04, 2025

Geometry-induced spin chirality in a non-chiral ferromagnet at zero field

Spin chirality is a fundamental property that manifests non-reciprocal transport—magnetochiral anisotropy (MChA). However, the application of MChA in technology is constrained by the necessity for an external magnetic field, complex non-centrosymmetric crystal synthesis and cryogenic environments. Here we overcome these challenges by imprinting geometric chirality onto a nickel tube via three-dimensional nanoengineering. We use two-photon lithography to create a structurally twisted polymeric template with micrometre-sized pitch and diameters and cover it with a uniform 30-nm-thick nickel shell. The nickel tube exhibits spontaneous MChA—non-reciprocal transport at zero magnetic field and room temperature. X-ray magnetic circular dichroism microscopy confirms helical spin textures stabilized by the torsion- and curvature-engineered shape anisotropy, while inelastic light scattering spectroscopy demonstrates robust non-reciprocal magnon transport at remanence, reconfigurable via magnetic field history. The chiral parameter in our device surpasses that of natural chiral magnets such as Cu2OSeO3. Analytical theory and micromagnetic simulations demonstrate that the non-reciprocity is further enhanced by downscaling the feature sizes. Our results establish a scalable, geometry-driven nanotechnology that imprints spin chirality on non-chiral ferromagnets and may enable nanoscale integration of chirality-enhanced magnonics and spintronics for real-world use cases.

Magnetic devices Magnetic properties and materials Spintronics other

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Nature Nanotechnology · Nov 17, 2025

Efficient CO2-to-methanol electrocatalysis in acidic media via microenvironment-tuned cobalt phthalocyanine

Electrosynthesis of value-added chemicals in strong acids can mitigate carbon loss and the operational cost of CO2reduction reaction (CO2RR). However, molecular catalysis for CO2RR is typically conducted in neutral or alkaline environments. CO2RR in acidic media is challenged by the scarcity of catalyst candidates, competitive hydrogen evolution and slow product formation. Here we report a locally ionic yet simultaneously hydrophobic and aerophilic layered structure that modulates the microenvironment surrounding cobalt phthalocyanine (CoPc) molecular catalysts, enabling efficient, multielectron CO2RR in acidic media. Experiment and theoretical modelling reveal that the polarized electrostatic field arising from the cationic groups suppresses hydronium migration. Concurrently, the van der Waals forces between the reactant gas and alkyl groups improve local CO availability, combining to achieve a methanol partial current density of 132 mA cm−2with 62% selectivity at a pH of ~1 and –1.37 VRHEfor CoPc, exceeding previous reports on neutral or alkaline electrolytes. The improved CO coverage also enables the detection of *CHO and *CO intermediates from in situ spectroscopy. We validate our strategy on various molecules, which champion the efficient inhibition of hydrogen evolution and improved CO2RR partial current density in acidic media. CoPc-based layered structure with similar ionic, hydrophobic and aerophilic interfaces also yields comparable methanol productivity.

Electrocatalysis Molecular dynamics

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Nature Nanotechnology · Nov 17, 2025

Nanoengineered aqueous-hydrotrope hybrid liquid electrolyte solutions for efficient zinc batteries across a wide temperature range

Aqueous zinc metal batteries are ideal candidates for grid storage applications. However, their practical application is hindered by a narrow operating temperature range and a limited electrolyte electrochemical stability window, both of which can be attributed to the water activity. Here, to minimize water activity in the electrolyte solution, we introduce a nanoengineered approach in which the water molecules are confined within a hydrophilic–hydrophobic water solvation sheath. The hydrogen-bond interaction with the hydrophilic groups in the inner solvation layer effectively suppresses water decomposition, and the hydrophobic solvents in the outer solvation layer establish a repulsive effect against water molecules. As a proof of concept, a hydrophobic and non-polar hydrofluoroether cosolvent is introduced into a Zn-ion aqueous electrolyte solution and tested together with various fluorinated hydrotrope molecules to favour the compatibility of the cosolvent with water. By such a water confinement strategy, an average Zn plating/stripping reversibility of 99.92% is achieved for over 4,000 cycles at 2.0 mA cm−2and 2.0 mAh cm−2in a Zn||Cu coin cell configuration. When tested in a Zn||VOPO4·2H2O lab-scale cell configuration, the selected aqueous-hydrotrope hybrid electrolyte solution enables long-lasting and highly reversible battery performance across temperatures from −80 °C to +60 °C.

Analytical chemistry Batteries Electrochemistry Energy storage Materials for energy and catalysis


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Nature Nanotechnology · Nov 14, 2025

Nanoscale domains govern local diffusion and ageing within fused-in-sarcoma condensates

Biomolecular condensates regulate cellular physiology by sequestering and processing RNAs and proteins, yet how these processes are locally tuned within condensates remains unclear. Moreover, in neurodegenerative diseases such as amyotrophic lateral sclerosis, condensates undergo liquid-to-solid phase transitions, but capturing early intermediates in this process has been challenging. Here we present a surface multi-tethering approach to achieve intra-condensate single-molecule tracking of fluorescently labelled RNA and protein molecules within liquid-like condensates. Using RNA-binding protein fused-in-sarcoma as a model for condensates implicated in amyotrophic lateral sclerosis, we discover that RNA and protein diffusion is confined within distinct nanometre-scale domains, or nanodomains, which exhibit unique connectivity and chemical environments. The properties of these nanodomains are tunable by guest molecules. As condensates age, nanodomains reposition, facilitating fused-in-sarcoma fibrilization at the condensate surface, a process further enhanced by anti-amyotrophic lateral sclerosis drugs. Our findings demonstrate that nanodomain formation governs condensate function by modulating the residence time and spatial organization of constituent biomolecules, providing previously unattainable insights into condensate ageing and mechanisms underlying disease.

Molecular self-assembly Nanoparticles




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Nature Nanotechnology · Nov 05, 2025

On-chip quantum interference of indistinguishable single photons from integrated independent molecules

On-chip integration of independent channels of indistinguishable single photons is a prerequisite for scalable optical quantum information processing. This requires separate solid-state single-photon emitters to exhibit identical lifetime-limited transitions. This challenging task is usually further exacerbated by spectral diffusion due to complex charge noise near material surfaces made by nanofabrication processes. Here we develop a molecular quantum photonic chip and demonstrate on-chip Hong–Ou–Mandel quantum interference of indistinguishable single photons from independent molecules. The molecules are embedded in a single-crystalline organic nanosheet and integrated with single-mode waveguides without nanofabrication, thereby ensuring stable, lifetime-limited transitions. With the aid of Stark tuning, we show how 100 waveguide-coupled molecules can be tuned to the same frequency and achieve on-chip Hong–Ou–Mandel interference visibilities exceeding 0.97 for 2 molecules separately coupled to 2 waveguides. For two molecules with a controlled frequency difference, we unveil over 100-µs-long quantum beating in the interference, showing both excellent single-photon purity (particle nature) and long coherence (wave nature) of the emission. Our results showcase a possible strategy towards constructing scalable optical universal quantum processors and a promising platform for studying waveguide quantum electrodynamics with identical single emitters wired via photonic circuits.

Quantum information Quantum optics Single photons and quantum effects

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Nature Nanotechnology · Nov 03, 2025

Magnetically tunable selectivity in methane oxidation enabled by Fe-embedded liquid metal catalysts

As they are liquids at room temperature, gallium-based metal substrates allow catalytic metal atoms to move freely without lattice constraints, thereby facilitating the development of catalysts with reconfigurable structures. Here we design an iron-embedded liquid metal catalyst that enables reversible switching of the aggregation and electron spin of iron atoms by controlling an external magnetic field. This facilitates a reversible conversion of the primary liquid products, methyl hydroperoxide (CH3OOH) and acetic acid (CH3COOH), under ambient conditions. The catalyst achieves promising production rates (CH3OOH, 1,679.6\({\rm{m}}{\rm{m}}{\rm{o}}{\rm{l}}\,{{\rm{g}}}_{{\rm{F}}{\rm{e}}}^{-1}\,{{\rm{h}}}^{-1}\); CH3COOH, 790.5\({\rm{m}}{\rm{m}}{\rm{o}}{\rm{l}}\,{{\rm{g}}}_{{\rm{F}}{\rm{e}}}^{-1}\,{{\rm{h}}}^{-1}\)) and high selectivities (CH3OOH, 99.9%; CH3COOH, 91.7%). In the absence of the magnetic field, iron atoms are atomically dispersed, leading to the C1 pathway without C–C bond coupling. When a magnetic field is applied, iron atoms cluster, favouring CH3COOH production in the C2 pathway. The product distribution can be finely and reversibly tuned with magnetic field intensity adjustments ranging from 0 to 500 G. Our findings highlight the potential for using an external magnetic field to precisely control catalytic pathways.

Catalysis Energy science and technology




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Nature Nanotechnology · Oct 29, 2025

Gas-mediated defect engineering in earth-abundant Mn-rich layered oxides for non-aqueous sodium-based batteries

Gases are often by-products of battery materials during cell formation and degradation, affecting the cycle life and safety of rechargeable batteries. However, understanding gas-mediated (electro)-chemical reactions and nanoscale structural transformations during the synthesis of battery electrode materials remains challenging because of the lack of suitable characterization routes and the complexity of the interplay between thermodynamics and kinetics. Here we use operando synchrotron X-ray diffraction, in situ transmission X-ray microscopy and multiscale modelling to elucidate the reaction pathways and microstructural defect development of earth-abundant Mn-rich layered oxides as positive electrode materials for sodium-based batteries. In particular, we demonstrate the dominant role of CO2over O2and H2O(g)in modulating the competition between entropy and enthalpy during solid-state synthesis. Using Ni0.25Mn0.75CO3as a model precursor, we reveal that CO2generation favours the formation of entropy-driven metastable intermediates, suppresses closed pore/nanovoids formation and decreases chemical heterogeneity and residual lattice strain of Mn-rich layered oxides during the synthesis. This result motivates a fast-sintering strategy to promote CO2release, which ultimately leads to improved chemo-mechanical and electrochemical stability of the Mn-rich positive electrodes when tested in non-aqueous Na metal coin cells.

Batteries Characterization and analytical techniques Materials for energy and catalysis

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Nature Nanotechnology · Oct 29, 2025

A modular mRNA platform for programmable induction of tumour-specific immunogenic cell death

Messenger RNA (mRNA) therapeutics hold great promise for oncology but their efficacy is limited by systemic off-target effects and immunosuppressive tumour microenvironments. Here we present TITUR, a tumour-customizable mRNA nanomedicine platform that integrates tumour-customizable ionizable lipids (TIs) and tumour-specific untranslated regions (TURs) to enhance tumour-selective mRNA delivery and expression. This dual-engineered approach enables the precise intratumoural expression of 4HB, an immunogenic cell death-inducing protein, while mitigating systemic toxicities. Using murine models of immunologically cold tumours, including melanoma and triple-negative breast cancer, TITUR-mediated 4HB delivery induced tumour-specific immunogenic cell death, remodelled the tumour microenvironment and enhanced immune cell infiltration. When combined with immune checkpoint inhibitors, 4HB TITUR suppressed primary and metastatic tumour growth, while also exhibiting vaccine-like properties by reducing tumour recurrence and eliciting systemic antitumour immunity. Furthermore, it demonstrated a superior safety profile compared with conventional mRNA delivery methods. Our data indicate that TITUR may serve as a versatile approach to address the limitations of current immunotherapies and support the development of personalized mRNA nanomedicines.

Drug delivery Nanoparticles

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Nature Nanotechnology · Oct 29, 2025

Picosecond quantum transients in halide perovskite nanodomain superlattices

The high optoelectronic quality of halide perovskites makes them suitable for use in optoelectronic devices and, recently, in emerging quantum emission applications. Advancements in perovskite nanomaterials have led to the discovery of processes in which luminescence decay times are below 100 picoseconds, stimulating the exploration of even faster radiative rates for advanced quantum applications, which have only been realized in III–V materials grown using costly epitaxial growth methods. Here we discovered ultrafast quantum transients with timescales of around two picoseconds at low temperature in bulk formamidinium lead iodide films grown via scalable solution or vapour approaches. Using a multimodal strategy, combining ultrafast spectroscopy, optical and electron microscopy, we show that these transients originate from quantum tunnelling in nanodomain superlattices. The outcome of the transient decays, that is, photoluminescence, mirrors the photoabsorption of the states, with an ultranarrow linewidth at low temperature that can reach <2 nm (~4 meV). Localized correlation of the emission and structure reveals that the nanodomain superlattices are formed by alternating ordered layers of corner-sharing and face-sharing octahedra. This discovery opens new applications leveraging intrinsic quantum properties and demonstrates powerful multimodal approaches for quantum investigations.

Single photons and quantum effects Structural properties


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Nature Nanotechnology · Oct 24, 2025

Unravelling electro-chemo-mechanical processes in graphite/silicon composites for designing nanoporous and microstructured battery electrodes

Silicon is a promising negative electrode material for high-energy batteries, but its volume changes during cell cycling cause rapid degradation, limiting its loading to about 10 wt.% in conventional graphite/Si composite electrodes. Overcoming this threshold requires evidence-based design for the formulation of advanced electrodes. Here we combine multimodal operando imaging techniques, assisted by structural and electrochemical characterizations, to elucidate the multiscale electro-chemo-mechanical processes in graphite/Si composite negative electrodes. We demonstrate that the electrochemical cycling stability of Si particles strongly depends on the design of intraparticle nanoscale porous structures, and the encapsulation and loss of active Si particles result in excessive charging current being directed to the graphite particles, increasing the risk of lithium plating. We also show that heterogeneous strains are present between graphite and Si particles, in the carbon-binder domain and the electrode’s porous structures. Focusing on the volume expansion of the electrode during electrochemical cycling, we prove that the rate performance and Si utilization are heavily influenced by the expansion of the carbon-binder domain and the decrease in porosity. Based on this acquired knowledge, we propose a tailored double-layer graphite/Si composite electrode design that exhibits lower polarization and capacity decay compared with conventional graphite/Si electrode formulations.

Batteries Imaging techniques Materials for energy and catalysis Materials science




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Nature Nanotechnology · Oct 15, 2025

Hand-powered interfacial electric-field-enhanced water disinfection system

Mechanical-energy-driven portable water disinfection has attracted attention for its electricity-free operation, but this approach generally faces bottlenecks such as a high mechanical activation threshold, energy dispersion and low interfacial reaction efficiency, making it difficult to achieve rapid and stable pathogen inactivation in practical scenarios. Here we report a manually operated portable water disinfection system that can inactivate 99.9999% ofVibrio choleraewithin 1 min and demonstrate broad-spectrum disinfection against bacteria, fungi, parasites and viruses. Amino-modified SiO2nanoparticles loaded with Au nanoparticles capture hydrated electrons and transfer them to the electret surface to generate localized nanoscale electric fields, which are further strengthened by hydrophobic fluorinated groups. This interfacial architecture not only promotes charge accumulation and transfer, but also leverages the intensified electric field to actively drive reactive oxygen species generation at the solid–liquid–air interface, thereby markedly enhancing the disinfection rate and efficacy compared with existing contact-electrification-based disinfection technologies. Owing to its ease of operation, our interfacial electric-field-enhanced disinfection system is readily deployable in disaster relief and resource-constrained regions.

Nanobiotechnology Nanoparticles


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Nature Nanotechnology · Oct 07, 2025

Tailoring nanoscale interfaces for perovskite–perovskite–silicon triple-junction solar cells

Triple‐junction solar cells theoretically outperform their double-junction and single‐junction counterparts in power conversion efficiency, yet practical perovskite–perovskite–silicon devices have fallen short of both theoretical limits and commercial targets. To address surface defects in the top perovskite junction, we introduce a piperazine-1,4-diium chloride treatment, which replaces less stable lithium fluoride. For interfacing the top and middle perovskite junctions, we optimize the size of gold nanoparticles deposited on atomic layer-deposited tin oxide for best ohmic contacting with minimal optical losses. Applying these strategies, our champion 1-cm2triple‐junction cell achieved a third party-verified reverse‐scan power conversion efficiency of 27.06% with an open circuit voltage of 3.16 V. Scaling up to 16 cm2, the device produced a certified steady‐state power conversion efficiency of 23.3%. Device longevity also improved by eliminating methylammonium and incorporating rubidium into the perovskite bulk alongside the piperazine-1,4-diium chloride surface layer. An encapsulated 1-cm2cell retained 95% of its initial efficiency after 407 h at maximum power point and passed the IEC 61215 thermal cycling test. These results represent advancements towards efficient and stable perovskite–perovskite–silicon triple-junction solar cells.

Devices for energy harvesting Electronic devices Electronic properties and materials


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Nature Nanotechnology · Sep 24, 2025

Polaron superlattices in n-doped single conjugated polymers

The presence of multiple polarons, particularly at high doping levels, involves complex many-body interactions that substantially influence the electronic and transport properties of various materials. Determining the spatial distributions of coupled electronic and vibrational states is essential to understanding interacting polarons at a microscopic level but remains a challenge. Here we report the crystallization of electron polarons into quasi-one-dimensional polaron superlattices in highly n-doped single ethynylene-bonded polypentacenes. We employ integrated scanning tunnelling microscopy, atomic force microscopy and tip-enhanced Raman spectroscopy combined with first-principles density functional theory to correlate electronic, vibrational and structural information. The observed polaron superlattices exhibit different periodicities that depend on the doping levels. Their real-space polaron wavefunctions are determined by the intertwined electronic and vibrational periodic modulations associated with the periodic lattice distortions as resolved by atomic force microscopy. We can then identify the multiband charge-density-wave attributes of interacting polarons in these superlattices. Our findings provide microscopic insights in interacting polarons, which is important for the understanding of polaronic charge transport mechanisms in organic semiconductors.

Electronic properties and materials Imaging techniques

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Nature Nanotechnology · Sep 24, 2025

Full-length protein classification via cysteine fingerprinting in solid-state nanopores

Recent advances in single-molecule technologies are transforming the field of protein analysis. Solid-state nanopores provide an effective method to linearize and thread full-length proteins in a single file. However, slowing their rapid translocation remains a challenge for accurate, time-resolved ion-current-based fingerprinting. In this work, we present a click-chemistry-based strategy for covalently attaching short oligonucleotides to cysteine residues on denatured proteins across a broad range of molecular weights. The negatively charged oligonucleotides increase the capture rate by a factor of ten compared with native proteins and induce a distinct ‘stick–slip’ motion that slows protein passage through the nanopore by more than 20-fold. These oligonucleotide tags also produce characteristic, time-resolved ion current pulses that serve as unique protein-specific signatures. To uncover the physical mechanism responsible for the protein translocation dynamics, we model our system using all-atom molecular dynamics and finite element simulations. By leveraging a supervised machine learning classifier, we demonstrate that a small number of translocation events is sufficient to identify individual proteins, achieving near-perfect classification accuracy. To demonstrate the robustness of the method, we successfully distinguish between VEGF-A isoforms (VEGF-165 and VEGF-121), which are relevant to cancer diagnostics, within a mixed protein sample. Our nanopore-based fingerprinting technique eliminates the need for affinity reagents, such as protein-specific antibodies, or motor proteins, offering a rapid, direct and cost-effective approach for single-molecule protein identification and classification.

Nanopores









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Nature Nanotechnology · Aug 15, 2025

High-order dynamics in an ultra-adaptive neuromorphic vision device

Neuromorphic hardware for artificial general vision intelligence holds the potential to match and surpass biological visual systems by processing complex visual dynamics with high adaptability and efficiency. However, current implementations rely on multiple complementary metal–oxide–semiconductor or neuromorphic elements, leading to significant area and power inefficiencies and system complexity. This is owing to a key challenge that no single electronic device, to our knowledge, has yet been demonstrated that can integrate retina-like and cortex-like spiking and graded neuronal dynamics operable across both optical and electrical domains. Here we report a single ultra-adaptive neuromorphic vision device (IxTyO1–x–y/CuOx/Pd) by ingeniously tailoring its electronic properties, enabling uniquely controlled interface and bulk dynamics by charged particles, including electrons, oxygen ions and vacancies. The device highly amalgamates broadband retinal spiking neuron and non-spiking graded neuron, and cortical synapse and neuron dynamics, with ultralow power consumption. Real-time optoelectronic dynamics is elucidated through in situ scanning transmission electron microscopy and validated by technology computer-aided design simulations. An artificial general vision intelligence system based on homogeneous ultra-adaptive neuromorphic vision device arrays is constructed, adaptively supporting both asynchronous event-driven and synchronous frame-driven paradigms for versatile cognitive imaging demands, with superior power efficiency of up to 67.89 trillion operations per second per watt and area efficiency of up to 3.96 mega operations per second per feature size (MOPS/F2).

Electronic devices

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Nature Nanotechnology · Aug 15, 2025

Designing lipid nanoparticles using a transformer-based neural network

The RNA medicine revolution has been spurred by lipid nanoparticles (LNPs). The effectiveness of an LNP is determined by its lipid components and their ratios; however, experimental optimization is laborious and does not explore the full design space. Computational approaches such as deep learning can be greatly beneficial, but the composite nature of LNPs limits the effectiveness of existing single molecule-based algorithms to LNPs. Addressing this, our approach integrates the multi-component and multimodal features of composite formulations such as LNPs to predict their performance in an end-to-end manner. Here we generate one of the largest LNP datasets (LANCE) by varying LNP formulations to train our deep learning model, COMET. This transformer-based neural network not only accurately predicts the efficacy of LNPs but is adaptable to non-canonical LNP formulations such as those with two ionizable lipids and polymeric materials. Furthermore, COMET can predict LNP performance in a cell line outside of LANCE and predict LNP stability during lyophilization using only small training datasets. Experimental validation showed that our approach can identify LNPs that exhibit strong protein expression in vitro and in vivo, promising accelerated development of nucleic acid therapies with extensive potential across therapeutic and manufacturing applications.

Drug delivery Nanoparticles