SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4205-8
The global energy crisis and environmental pollution necessitate efficient recovery and utilization of thermal energy resources such as industrial waste heat. Thermoelectric materials, enabling direct conversion between thermal and electrical energy, offer broad application prospects in waste heat power generation and chip cooling. The energy conversion efficiency is determined by the dimensionless figure of merit, ZT = (S^2σ/κ)T, where S is the Seebeck coefficient, σ is the electrical conductivity, κ is the thermal conductivity, and T is the absolute temperature. Ideal thermoelectric materials require both a high power factor (PF = S^2σ) and low thermal conductivity. However, the strong coupling between electrical and thermal transport parameters makes synergistic optimization challenging. Over the past two decades, strategies such as band engineering, nanostructuring, liquid-like ions, interstitial atoms, phonon softening, and defect engineering have been explored. Among these, entropy engineering has emerged as a novel strategy that achieves synergistic optimization by introducing multiple components to increase configurational entropy. High entropy materials, originating from alloys, are defined as multi-principal element systems with five or more elements in near-equiatomic ratios forming single-phase solid solutions. The molar configurational entropy ΔS_conf = R∑x_i ln x_i, with materials classified as high entropy (ΔS_conf > 1.5R), medium entropy (1R < ΔS_conf < 1.5R), or low entropy (ΔS_conf < 1R). Four core effects are summarized: high entropy effect, lattice distortion effect, sluggish diffusion effect, and cocktail effect. Research has expanded from alloys to oxides, chalcogenides, and half-Heusler compounds. This review systematically summarizes the mechanisms by which lattice distortion in high entropy materials affects electrical and thermal transport, and discusses optimization strategies for thermoelectric performance.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3652-2
Existing robotic end-effector gripping technologies often encounter challenges such as poor adaptability to environmental changes, incomplete deformation sensing, and insufficient adhesion stability, which can compromise operational safety and reliability. Here, we present the bio-inspired self-sensing suction cup, in which the core self-sensing capability is achieved by combining high-performance, laser-induced graphene/Ag NWs flexible sensors with a Wheatstone bridge design. The flexible sensors provide high sensitivity, while the Wheatstone bridge circuit enables accurate and stable detection of deformation during the gripping process. Integrated into the octopus-inspired suction cup, this system allows for real-time monitoring of deformation and adsorption stability. The self-sensing suction cup demonstrates good performance across a 0–25 kPa negative pressure range, with outstanding linearity (R2 = 0.993) and high sensitivity (GF = 10.436 kPa−1). Experimental results confirm that the suction cup can achieve stable adsorption under varying loads and enable real-time monitoring of the suction cup status during the gripping process. This design provides a promising solution for intelligent gripping systems, logistics, and object recognition in challenging environments.
Environmental Chemistry•2026•DOI: 10.0000/202604-1
An analytical method was developed for the simultaneous determination of 11 organic ultraviolet absorbents (OUVs) in coral tissues using ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Target analytes included benzophenones (BP, BP-2, BP-3, BP-8) and other common UV filters. Sample pretreatment and chromatographic conditions were systematically optimized. Coral tissue samples were extracted by combined vortexing and ultrasonication, separated on a CAPCELL PAK MG C18 column using a mobile phase of methanol-0.1% formic acid aqueous solution under gradient elution, and determined by multiple reaction monitoring (MRM) with internal standard quantification. Method validation demonstrated good linearity for all target compounds over the range of 0.1–500 μg·L−1 (R2 > 0.990), with method detection limits ranging from 0.020 to 0.133 ng·g−1. The mean recoveries at low, medium, and high spiking levels ranged from 60.5% to 120.3%, with relative standard deviations (RSDs) of 1.6%–10.7%. The method offers advantages of simple pretreatment, good repeatability, and high accuracy, making it suitable for high-throughput determination of OUVs in complex biological matrices such as corals. The method was applied to analyze 89 coral samples collected from Xidao Island, Sanya, and five target OUVs were detected in the samples. This method provides reliable technical support for elucidating the accumulation characteristics of OUVs in corals and assessing their potential ecological risks.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225221
The proliferation of lithium-ion batteries (LIBs) in portable electronics and electric vehicles has generated a pressing need for sustainable recycling of spent batteries. Conventional pyrometallurgical and hydrometallurgical routes suffer from low metal recovery efficiencies or require additional precipitants. This study introduces a clean and efficient process for recovering lithium (Li) and cobalt (Co) from spent LiCoO2 cathode materials using a choline chloride-oxalic acid-water (ChCl-OA-H2O) deep eutectic solvent (DES). The method exploits selective precipitation of Co as cobalt oxalate dihydrate (CoC2O4·2H2O) followed by water-content-regulated recovery of Li as lithium oxalate (Li2C2O4) via evaporation crystallization, eliminating the need for external precipitants. Under optimized conditions (molar ratio 1:1:8, solid-liquid ratio 100 g/L, 90 °C, 6.5 h), the leaching efficiency of Li reached 99.4%, with recovery efficiencies of 88.3% for Li and 97.8% for Co. The DES system demonstrated robust cycling stability, maintaining Li and Co recoveries of 78.1% and 92.8% after six regeneration cycles. This work provides a low-pollution, economically viable pathway for LIB recycling, contributing to resource sustainability and offering significant industrial potential.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3879-5
Stimuli-responsive circularly polarized luminescence (CPL) materials are pivotal for investigating excited-state chirality and advancing optoelectronic applications. However, achieving comprehensive modulation of chiroptical properties within a single system under a single external stimulus remains a significant challenge. Here, electric-field-responsive helical ferroelectric liquid crystals are developed by incorporating diverse chiral emitter dopants into the prototypical liquid crystal mesogen 2,3′,4′,5′-tetrafluoro-[1,1′-biphenyl]-4-yl 2,6-difluoro-4-(5-propyl-1,3-dioxan-2-yl)benzoate (DIO), known for its high dielectric anisotropy and multiple mesophases. By co-doping different types of chiral molecules with opposite handedness, a competitive chiral field is generated that responds differentially to the applied voltage, enabling continuous modulation of the helical pitch and reversible inversion of handedness. This work provides the integrated demonstration of single-stimulus regulation of on/off gating, magnitude tuning, and reversible sign inversion in a single liquid-crystal system, opening a pathway toward intelligent chiroptical materials.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60662-7
Perovskite-type catalysts show promise for CO2 methanation, yet their low-temperature performance and mechanisms remain unclear. Here, a LaNiO3/CeO2 catalyst was synthesized via sol-gel and impregnation. In situ reduction decomposed the perovskite into highly dispersed Ni0 particles (average 12.6 nm) on CeO2, which provided abundant oxygen vacancies (Ce3+/(Ce3++Ce4+) = 9.2%) and weak/moderate basic sites. This synergy enhanced CO2 adsorption and activation. At 200–300 °C, the catalyst achieved ~100% CH4 selectivity and CO2 conversion up to 23.6% at 300 °C. Comparative studies with LaNiO3, LaCeNiO4, Ni/CeO2, and La-Ni/CeO2 revealed that the perovskite pre-structuration and in situ reduction optimize Ni dispersion and metal-support interactions, stabilizing Ni0 and tuning surface basicity and oxygen vacancies. This work provides a design strategy for efficient low-temperature CO2 methanation catalysts.