Advanced Materials Interfaces最新文献

The increasing demand for human motion monitoring draws significant attention to high-sensitivity wearable devices. Conductive polymer PEDOT: PSS has been widely utilized in wearable sensors. However, the presence of PSS has a significant impact on the electrical conductivity and sensitivity of these sensors. To address this, a high-performance DES/PEDOT: PSS/NR foam piezoresistive sensor is developed by rationally composing natural rubber latex, PEDOT: PSS, and a deep eutectic solvent (DES). As a cost-effective and biocompatible solvent, DES interacts strongly with PEDOT: PSS, inducing the microscopic detachment of PSS from PEDOT and increasing contact opportunities for conductive PEDOT. Through these interactions, the electrical conductivity of the foam sensor is enhanced by nearly 3.9 times, while its sensitivity is improved by approximately 4.5 times. The as-prepared foam possesses excellent mechanical properties, including superior flexibility and elasticity. Furthermore, the synergistic effect of DES and PEDOT: PSS enables the foam sensor to have a wide response range (0–180 kPa), high sensitivity (11.18 kPa⁻¹), rapid response (57 ms), and recovery time (55 ms). The sensor effectively monitors various human activities and joint movements. It detects subtle movements, such as breathing, and performs exceptionally well in sleep monitoring. In summary, the prepared DES/PEDOT: PSS/NR foam sensor shows great potential in wearable devices and beyond.

Dental wear is a well-established proxy for inferring diet, habitat, and climatic conditions in vertebrate ecology, yet its proxy potential in invertebrates remains unexplored. Here, we introduce confocal disc-scanning microscopy–based 3D surface texture analysis combined with dental microwear texture analysis as a quantitative approach for assessing wear in the radular teeth of the gastropod Vittina turrita. Controlled feeding experiments exposed snails to substrates simulating biofilm-feeding conditions. Fine and superfine substrates produced uniform material loss, reflected by reduced surface mean height (Sa) and increased surface peak density (Spd), indicating consistent abrasion accompanied by extensive surface fragmentation. In contrast, coarser substrates resulted in fewer but more severe tooth–substrate interactions, generating irregular material loss marked by fractures, partial spalling, and crack formation. These damage modes were captured by increased Sa, reduced Spd, and elevated void volume of valleys (Vvv). Wear severity was greatest in older teeth, where erosion of the calcium-rich protective coating exposed the chitinous core; here, elevated Sa values likely resulted from fiber-scale failure during substrate impacts. The results show that wear reflects substrate interactions and material structural responses, providing a first controlled calibration step toward its future use as a proxy for substrate interaction and ecology.

Boron nitride (BN) exists in multiple structural phases, including hexagonal (hBN), rhombohedral (rBN), cubic (cBN), and amorphous (aBN), each characterized by distinct sp² or sp³ bonding configurations, stacking periodicities, and thermodynamic stabilities. These structural variations yield exceptional electronic, optical, and mechanical properties while imposing rigorous thermodynamic and kinetic constraints on their targeted synthesis. This review comprehensively summarizes recent progress in the phase-selective growth of BN. For the sp²-hybridized phases, precise management of adatom surface diffusion and edge-attachment kinetics, coupled with substrate symmetry breaking, has enabled the aligned coalescence of hBN islands into wafer-scale single crystals and the templated stabilization of rBN with exclusive ABC stacking. For sp³-bonded cBN, overcoming the massive energetic barrier of this metastable phase requires either extreme high-pressure high-temperature thermodynamic driving forces or localized energetic ion activation combined with strain-absorbing, lattice-matched templates. For aBN, low-temperature deposition routes effectively quench adatom mobility, kinetically trapping species into conformal, ultrathin disordered networks prioritized for advanced dielectric integration. Emerging research must address the thermodynamic limitations of scalable reactors, the atomic-level control of point defects, and the perfection of translational registry at interfaces to fully translate laboratory-quality BN into reliable technological applications.

The activity of compositionally complex electrocatalysts depends on their surface composition, which can be different from the volume composition. In solid solutions, surface segregation under vacuum can be estimated based on the surface energy of the constituent elements. Upon exposure to ambient conditions, the surface reactivity of the elements, particularly their tendency to oxidize, is also important. Here, we investigate differences between the surface and volume composition of a model noble metal system, Ag-Au-Pd-Pt, fabricated by co-sputter deposition in the form of thin-film materials libraries (MLs), spanning a compositional range of Ag_12-55Au_7-50Pd_6-60Pt_7-58. The volume compositions of 684 measurement areas of these libraries were determined with energy dispersive X-ray spectroscopy (EDX). For each library, a set of nine selected areas was additionally measured by X-ray photoelectron spectroscopy (XPS), to determine the surface compositions, i.e., the first few nanometers of the films. The XPS data reveal near-surface segregation of Ag up to 8 at.% and Pt depletion of similar magnitude. The results were further validated by large-scale molecular dynamics/Monte-Carlo simulations using accurate machine learning interatomic potentials (MLIP), providing theoretical insights of surface segregation under vacuum conditions across the quaternary composition space.

Microfluidic technologies enable portable, low-volume, and cost-effective diagnostic platforms, yet their widespread adoption remains limited by fabrication complexity and reliance on cleanroom infrastructure. Polymethyl methacrylate (PMMA) is an attractive material due to its optical transparency, biocompatibility, and affordability; however, conventional fabrication methods such as laser engraving and micromilling often induce surface roughness and defects that compromise device performance. Here, we present a single-solvent strategy that utilizes pure acetone as both a surface enhancement and bonding agent for laser-ablated PMMA. Controlled acetone treatment combined with thermal conditioning transforms rough, damaged channel surfaces into smooth, optically clear interfaces. Subsequent acetone-assisted bonding enables the formation of uniform, high-strength interfaces without additional reagents or complex processing steps. The resulting microfluidic channels exhibit surface properties comparable to bulk PMMA and achieve bonding strengths up to ∼27.3 MPa, approaching the intrinsic tensile strength of the material. The method supports channel dimensions as small as 88 µm × 132 µm and demonstrates excellent mechanical stability under high centrifugal forces with reliable sealing performance. This approach provides a rapid, scalable, and cost-effective route for fabricating high-performance PMMA microfluidic devices, substantially lowering barriers to broader adoption.

Textile-based pressure sensors are essential for wearable electronics, but achieving mechanical robustness, high sensing performance, and scalable fabrication remains challenging. A fully textile-integrated capacitive pressure sensor is developed using low-cost materials, comprising ultrasonic spray-coated carbon black (CB) electrodes and electrostatically flocked nylon microfiber dielectric layers on Kevlar substrates. A statistically guided optimization approach, combining Taguchi analysis and response surface methodology, establishes the relationship between deposition parameters and conductive network formation, producing uniform coatings with a sheet resistance of approximately 50 Ω sq⁻¹. The vertically aligned nylon microfibers form a compressible air–fiber dielectric structure that enhances capacitance changes under pressure. The sensor exhibits a sensitivity of 1.05 kPa⁻¹ at low pressure (< 1.5 kPa), low hysteresis (10.1%), and stable performance over 1000 loading cycles. Fabrication is achieved without lithography, elastomers, or nanomaterial ink, providing a simple, scalable, and cost-effective textile-only sensing platform. A 3 × 3 sensor array demonstrates spatial pressure-mapping capability, highlighting potential applications in ergonomic seating, smart safety garments, and the monitoring of ballistic or blast exposure events where puncture resistance is essential.

Lipid-coated hybrid nanoparticles represent a promising platform for biomedical applications, offering enhanced stability, biocompatibility, and functional tunability. However, the molecular-level organization of lipids on nanoparticle surfaces remains poorly understood. Here, we employ atomistic molecular dynamics simulations to investigate the formation and evolution of lipid coatings on 5 nm gold nanoparticles. Seven types of lipids are investigated, with differing headgroup charge, tail saturation, and phase behavior, allowing systematic evaluation of structure–property relationships at the nano–bio interface. Analysis of lipid adsorption, orientation, and packing reveals that headgroup charge distribution and acyl chain composition govern coating morphology and conformational dynamics. Zwitterionic and charged lipids exhibit distinct organization patterns, influencing interfacial stability and potential biological interactions. These findings provide molecular insight into how lipid composition directs coating architecture, establishing a foundation for the rational design and future development of biomimetic nanocarriers for targeted drug delivery and antimicrobial nanomedicine applications.

Platinum-group-metal-free catalysts represent a necessary economic choice for industrial-scale anion exchange membrane (AEM) electrolyzers. A three-dimensional binder-free spinel Ni_1−xFe_xCo₂O₄ (x = 0.1–0.4) electrocatalyst is synthesized directly on nickel felt via a urea-mediated sono-hydrothermal method. The nanorod-shaped morphology is chosen to reduce mass-transfer limitations while maintaining catalyst activity. NiFeCo-2 (20% Fe) offers the optimal balance of iron content, lattice modification, homogeneous nanorod coverage, and surface area, showing the best oxygen evolution reaction (OER) activity, giving 282 mV overpotential at 10 mA cm⁻² and 53 mV dec⁻¹ Tafel slope. As the anode in an anion exchange membrane water electrolyzer (AEMWE), NiFeCo-2 reaches 1.748 V at 1 A cm⁻², 1.92 V at 2 A cm⁻², and 2.09 V at 4 A cm⁻² in wet cathode mode, and sustains stable operation through two 72-h accelerated stress test sequences under both wet and dry cathode feeding. Operation starting in dry cathode mode shows better performance retention than in wet mode. Post-test electron microscopy and textural analysis confirm that the nanorod catalyst layer remains largely preserved, indicating that the observed voltage increase is consistent with resistance growth rather than catalyst loss. These results highlight binder-free Ni_1−xFe_xCo₂O₄ as a promising, affordable anode for AEM water electrolysis.

C. D. Pham, N. Nguyen, and T. Nguyen, “Engineering Active Metal Oxide Interfaces on MOF-Derived 3D Carbon Architecture for Small-Molecule Biosensing,” Advanced Materials Interfaces, 13, no. 5, (2026): e01098, https://doi.org/10.1002/admi.202501098.

1. In the Experimental section on page 2, the sequence of the cortisol aptamer was incorrectly displayed as: 5′-/5ThioMC6-D/ CGA CTG GTAGGC AGA TAG GGG AAG CTG ATT CGA TGC GTG GGT CG-3′.

The correct sequence for the cortisol aptamer is: 5′-/5ThioMC6-D/ CGA CCG GTC TGG GGA CCC TGT CTG GGT GTG TGG GTA GTA GGT CG-3'.

This error occurred during manuscript preparation due to an incorrect copy of the sequence. The authors confirm that the correct sequence for the cortisol aptamer was used for all experiments in this work.

This correction does not affect the scientific results or conclusions of the article.