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INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH · 2026 · IF 3.9

Tunable Oxygen Vacancies in CeO2-Dolomite Catalysts for Gas-Phase Conversion of Glycerol to 1,2-Propanediol without External Hydrogen

Jin Wang,Baocheng Guo,Tania Roy,Rongzhen Mu,Jie Yang,Chunhui Zhou

Selective conversion of glycerol to 1,2-propanediol (1,2-PDO) provides a sustainable approach to the valorization of an unavoidable by-product in biodiesel industry. However, achieving selective cleavage of the primary hydroxyl group (C1–OH) to form 1,2-PDO under hydrogen-free conditions remains a challenge. Herein, we report a CeO2–dolomite-based catalyst prepared by mechanochemical ball milling and the catalyst can catalyze the conversion of gas-phase glycerol to 1,2-PDO under 0.4 MPa N2 without external H2. This preparation method introduced a high density of oxygen vacancies (OV) into CeO2 and dispersed CeO2 onto the surface of calcined dolomite (CaO–MgO), creating a synergistic acid, base, and defect sites for interface. Under optimized conditions (20 wt % CeO2, 320 °C, 0.4 MPa N2), the catalyst achieved 94.08% glycerol conversion with 47.59% selectivity to 1,2-PDO, comparable to or higher than many reported non-noble catalysts and hydrogen-free systems. The results show that medium-strong basic sites on the calcined dolomite promoted dehydration of glycerol to acetol and Ce3+–OV defect pairs facilitated water-assisted hydrogen transfer, which was likely involved in the hydrogenation of acetol to 1,2-PDO under hydrogen-free conditions. This work demonstrates an alternative efficient hydrogen-free catalytic system and provides a defect-engineering methodolgy for making catalysts for the selective cleavage of C–O bonds in glycerol.

CAS / MDL: 10294-41-4 56-81-5
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Foods · 2026 ·Vol. 15 ·期 7 ·1159 · IF 6

Integrated Extraction and Structural Engineering of Chitin from Crayfish Shell Waste Using Alkaline Deep Eutectic Solvents Toward Facile Enzymatic Deacetylation

Shengyu Yang,Qingqing Xiao,Kaige Chen,Haojie Zhang,Jun Cai,Zexin Zhao

Development of green and efficient technologies for valorizing crayfish shell waste is crucial for enhancing industrial value. This study presents an integrated strategy for the extraction and structural engineering of chitin using a novel alkaline deep eutectic solvent (DES) system composed of lysine and monoethanolamine (LysMEA), which enables the simultaneous deproteinization and architectural modification of chitin. Following mild demineralization, the optimized process yielded chitin with 97.1% purity and a high molecular weight of 209.3 kDa. DES demonstrated considerable reusability and decolorization capability. Structural characterization revealed that the LysMEA system effectively engineered the chitin architecture, resulting in lower crystallinity and a larger surface area compared to conventional methods. This engineered structure rendered the chitin highly accessible to enzymes. Consequently, the chitin extracted by LysMEA exhibited superior reactivity, achieving a deacetylation degree of 63.7% when catalyzed byBacillus aryabhattaichitin deacetylase, significantly outperforming chitin obtained via acid-alkali or acidic DES methods. Molecular dynamics simulations elucidated the mechanism, showing that lysine and monoethanolamine molecules penetrated the chitin fiber bundles at high temperatures, weakening interchain hydrogen bonds and partially separating the chains. This work provides a green route for producing enzymatically reactive chitin, demonstrating the potential of solvent-based structural engineering in biocatalytic valorization.

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Advanced Optical Materials · 2026 · IF 7.2

Explainable Machine Learning for Solvents-Driven G-quartet Circularly Polarized Luminescence Material in Multilevel Anti-counterfeiting

Xuetao Yan,Lifei Chen,Yuze Ren,Kaixuan Cui,Tianliang Li,Lixing Lin,Zeyu Li,Haicheng Song,Yingying Chen,Zhenzhen Li,Lingyan Feng

Circularly polarized luminescence (CPL) materials are highly sought after for their unique chiroptical properties, but their rational design remains challenging. To address this, a machine learning (ML) platform that intelligently screens deep eutectic solvents (DES) for crafting G-quartet-based gels with tailored CPL is established. An ML classifier trained on experimental data predicts CPL activity with 0.916 accuracy. SHapley Additive exPlanations (SHAP) analysis identifies key DES molecular descriptors, guiding the discovery of novel materials that exhibit a record-high luminescence dissymmetry factor (g lum ) of 0.222 for nucleotide-based systems and achieve chirality inversion via DES modulation. The Sure Independence Screening and Sparsifying Operator (SISSO) algorithm further yields interpretable design formulas. Leveraging the distinct polarization of these gels, we demonstrate a fourth-level anti-counterfeiting strategy, decrypting concealed information via Morse and ASCII codes to enhance information security. This ML-driven methodology accelerates the discovery of high-performance CPL materials and opens new design avenues.

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Laser & Photonics Reviews · 2026 · IF 9.7

Visualization of Protein Network Mechanical Heterogeneity Using Ultrasound-Coupled Microcavity Lasers

Zhonghao Li,Zhihan Cai,Tao Zhu,Chaoyang Gong

Whispering-gallery-mode (WGM) microcavities are emerging as a powerful tool for investigating the mechanical properties of biological systems. However, the wavelength shifts in WGM spectra reveal overall phase change, making it difficult to resolve localized mechanical heterogeneity. Here, we developed a laser-emission imaging approach that integrates ultrasound stimulation with WGM microcavities, enabling spatially resolved and quantitative mapping of microscopic mechanical properties in protein networks. The time-resolved lasing spectra were found to correlate with the ultrasound-driven mechanical vibrations, which were subsequently used to quantify localized mechanical responses. By reconstructing 3D correlation cubes at different positions on the protein network through stage scanning, we achieved spatial mapping of the evolving mechanical heterogeneity during crosslinking. Moreover, high-throughput monitoring of mechanical variations across multiple samples was successfully demonstrated. Our work establishes a new platform that couples optical and acoustic interactions at the microscale, enabling rapid quantification of the dynamic mechanical behaviors of soft biomaterials.

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POLYMER COMPOSITES · 2026 · IF 4.9

Construction of Hydroxylated Interface Phase on Carbon Fiber Surface and Its Effect on PA6 Composite Performance

Changcheng Liu,Ya Zhang,Min He,Yufei Liu,Yiming Xiong

Strong carbon fiber/polyamide 6 (CF/PA6) interfacial adhesion is crucial, yet conventional sizing lacks sufficient polar groups. This study develops a novel epoxy-based sizing agent via emulsion technology to address it. Through a rationally designed emulsification process, not only was a highly stable epoxy emulsion achieved, but a flexible cross-linked interfacial layer with high oxygen content (31.5%) and elevated surface energy (79.0 mN·m −1 ) was successfully fabricated on the CF surface. The resulting composites exhibited a 41.0% improvement in tensile strength and a 48.6% increase in interfacial shear strength (IFSS). Furthermore, the compatibilization mechanism of the hydroxyl (  OH) functional groups within the sizing agent was systematically investigated. This work offers a promising pathway for engineering CF surfaces with rich polar functionality and advancing the development of high-performance CF/PA6 composites. Highlights Structure–property relation links sizing agent to interfacial phase. Tuned interfacial  OH content boosts interfacial and mechanical properties. Emulsifier structure controls stability and quality for defect-free composites.

CAS / MDL: 102-69-2 56-81-5
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CHEMISTRY-A EUROPEAN JOURNAL · 2026 · IF 3.6

Magnetic γ-Fe2O3@Ir Nanozyme for Molar-Level 5-Hydroxymethylfurfural Oxidation With Atmosphere Oxygen

Lin Zhou,Zhanghong Guo,Haining Cui,Jinxin Ma,Chan Wang,Qijun Song

Direct transformation of biomass-derived platform compound 5-hydroxymethylfurfural (HMF) to 2,5-furandicarboxylic acid (FDCA) represents a highly attractive route with significant environmental and economic benefits. The nanozymes with oxidase-like (OXD-like) activity hold great promise for the green oxidation of HMF to FDCA. Herein, an iridium-coated γ-Fe 2 O 3 core-shell nanozyme (γ-Fe 2 O 3 @Ir) was prepared by the reduction of Ir 3+ with glycerol on the surface of γ-Fe 2 O 3, and the structure of the γ-Fe 2 O 3 @Ir nanozyme was confirmed by XRD, HAADF-STEM image, and elemental line-scan analyses results. The magnetic property of the nanozyme not only facilitates its recovery but also effectively enhances its affinity to oxygen. By employing γ-Fe 2 O 3 @Ir nanozyme as the catalyst and atmospheric oxygen as a green oxidant, a near-quantitative conversion (98.5%) of molar level HMF to FDCA was achieved.

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Advanced Composites and Hybrid Materials · 2026 · IF 15.5

Naturally derived skin-like elastomer materials for adaptive and in situ processable biomedical interfaces

Hao Ruinan,Wang Huaqi,Peng Zhengxin,Du Jinzhi,Li Xiaoli,Yuan Yong,Du Jie,Li Meng,Tian Ming,Tian Feng,Zhang Liqun,Xue Jiajia

Next-generation biomedical interfaces, including wearable sensors, implantable electronics, and patient-specific therapeutic systems, require skin-like elastomers that combine softness, stretchability, and conformal adaptability with clinical and environmental viability. Here, we report a supramolecular gelatin elastomer formed via glycerol-mediated hydrogen bonding, which reorganizes the molecular network into a non-crystalline, reprocessable matrix that supports in situ shaping and mild-condition processing. The elastomer exhibits tunable mechanical properties, thermal plasticity, and recyclability, while maintaining ambient stability. Incorporation of functional nanofillers, including silica, hydroxyapatite, bioactive glass, and halloysite nanotubes, further enhances mechanical robustness and interfacial compatibility, enabling customized structural designs and functional performance. Leveraging these tunable mechanical and interfacial properties, the gelatin elastomer also enables integration of conductive components for adaptive and in situ processable biomedical interfaces. As a proof of concept, the elastomer incorporates carbon nanotubes and NaCl to achieve high electrical conductivity and high-fidelity signal acquisition, enabling stable recording of electrocardiogram (ECG), electroencephalogram (EEG) signals, and compound muscle action potentials (CMAPs) in humans. This work establishes a reprocessable, sustainable, and human-evaluated elastomer platform that bridges natural polymer chemistry with functional device performance, advancing the clinical translation of soft bioelectronic and therapeutic interfaces.

CAS / MDL: 56-81-5
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Microsystems & Nanoengineering · 2026 ·Vol. 12 ·期 1 ·107 · IF 11.1

Hydrogel-based electrodes for high-fidelity sEMG acquisition and robotic hand control

Yu Ziqing,Gu Yunqing,Ren Yun,Ding Hongxin,Wu Denghao,Wu Zhenxing,Mou Jiegang

Stable acquisition and accurate recognition of surface electromyography (sEMG) signals are key elements for building high-performance human–machine interaction (HMI) systems. Owing to their excellent flexibility, electrical conductivity, and biocompatibility, conductive hydrogels show great potential in physiological electrodes and flexible sensor applications. However, existing materials often struggle to simultaneously achieve high stretchability, good conductivity, self-healing capability, and strong interfacial adhesion. In this study, a hydrogel electrode with superior comprehensive performance was developed using acrylamide (AM) and acrylic acid (AA) as the matrix, incorporating chitosan (CS), tannic acid (TA), and glycerol (Gly) via a thermally initiated polymerization method. The resulting PCGK-CT hydrogel exhibited outstanding stretchability (elongation at break of 1250%), high conductivity (0.027 S/m), excellent sensitivity (gauge factor of 0.47 at 350% strain), high signal-to-noise ratio (SNR of 13.8 ± 0.3 dB), as well as desirable self-adhesive and self-healing properties. By integrating hydrogel electrodes with flexible electronic devices, high-fidelity sEMG signal acquisition and intelligent decoding were achieved. Combined with highly realistic motion control of a biomimetic robotic hand, this work establishes a feasible technical pathway for sEMG-based HMI systems and lays a foundation for further investigation in related extended applications.

CAS / MDL: 56-81-5 9012-76-4
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APPLIED CATALYSIS B-ENVIRONMENTAL · 2026 · IF 19.7

Expanding the operational horizon of ampere-scale biomass electrorefining via decoupling competing pathways on cuprous-integrated spinel heterostructures

Haojie Feng,Ju Huang,Yuanyuan Wang,Shichao Du,Xiaolei Wang,Ying Xie,Yu Fu,Mingxia Li,Zhimin Chen,Zhiyu Ren

Effectively separates biomass oxidation from parasitic OER using cuprous-integrated spinel heterostructures. • Suppresses OER by thermodynamically elevating the energy barrier for *OH deprotonation. • Unlocks a record-broad anodic potential window for stable high-voltage electrosynthesis. • Sustains ampere-scale currents (>4 A) with near-unity FDCA selectivity (>90%). • Demonstrates exceptional stability up to 2200 mV in a high-flux flow electrolyzer. The industrial viability of electrochemical biomass valorization is fundamentally throttled by the parasitic oxygen evolution reaction (OER), which severely confines the stable operational window. Here, we report a strategy for expanding the operational horizon of ampere-scale biomass electrorefining using a cuprous-integrated NiCo-spinel heterostructure (Ni 1.5 Co 1.5 O 4 -Cu 2 O) that effectively decouples these competing pathways. By engineering a cuprous-integrated heterostructure, we establish a functional dichotomy wherein synergistic Ni/Co sites activate 5-hydroxymethylfurfural, while the Cu 2 O moiety selectively suppresses OER by thermodynamically elevating the *OH deprotonation barrier. This design unlocks a record-broad anodic window and, when integrated into a flow cell, delivers an exceptional 2,5-furandicarboxylic acid yield (> 90%) at industrial-scale currents (> 4 A) across an extended voltage range (up to 2200 mV). In situ spectroscopy and density functional theory calculations validate this mechanism, confirming that optimized interfacial coupling drives the selective 5-hydroxymethyl-2-furancarboxylic acid pathway. This work provides a generalizable electronic-structure engineering strategy for high-performance, scalable organic electrosynthesis. Download: Download high-res image (227KB) Download: Download full-size image Interfacial engineering of a Cu 2 O-integrated NiCo-spinel heterostructure enables a functional-dichotomy strategy to decouple 5-hydroxymethylfurfural oxidation from parasitic oxygen evolution. By thermodynamically suppressing water oxidation, this design unlocks a record-wide operational window for stable, ampere-scale 2,5-furandicarboxylic acid production with near-quantitative yield, significantly expanding the operational horizon of biomass electrorefining.

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SEPARATION AND PURIFICATION TECHNOLOGY · 2026 · IF 9.1

Distributed oxygen delivery via oxygen-permeable hollow fiber membranes for enhanced methane oxidative coupling

Zhenbin Gu,Jiaqian Zong,Wanglin Zhou,Zhengkun Liu,Guangru Zhang

Oxidative coupling of methane (OCM) reaction through catalytic membrane reactors (CMRs), which use oxygen-permeable membranes, offers a highly promising and energy-efficient pathway for C 2 hydrocarbons production. However, the persistently low C 2 product yield still remains the bottleneck for large-scale industrial commercialization. In this study, we report the construction of CMRs based on BSCF four-channel hollow fiber membranes packed with 2 wt% Mn-5 wt%Na 2 WO 4 /SiO 2 catalysts. A C 2 yield of 21.8% was achieved by realizing a more uniform distribution of reactant O 2 across the membrane, whereas only 12.7% was obtained in the FBR under the same operating conditions. To further enhance the OCM long-term stability performance in CMRs, interfacial buffer layer construction was employed by coating and adhesion to suppress the high-temperature reaction between Sr and SiO 2 at the membrane-catalysts interface. An improved stable performance with minor degradation of 1.35% was obtained in a 200-h test. In addition, scale-up experiments employing 20-cm-long membranes under different flow configurations achieved an optimal C₂ yield of 24.5%, thus further confirming the industrial application advantages of the multi-channel hollow fiber membrane reactor design.

CAS / MDL: 107-21-1 56-81-5 67-63-0
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Nanoscale · 2026 · IF 5.2

Interfacial Charge Regulation in Solid-State UiO-67/ZnIn2S4/Pt Z-Scheme Heterojunctions for Efficient Photocatalytic Hydrogen Evolution

Bolong Qi,Rui Li,Haoran Jiang,Sheng Ye,Woon Yong Sohn,Zhenhua Pan

ZnIn2S4 (ZIS) is a promising visible-light photocatalyst, yet its activity and stability are severely limited by rapid charge recombination and photocorrosion. Here we report a UiO-67-mediated solid-state Z-scheme strategy to simultaneously enhance the efficiency and durability of ZIS for photocatalytic hydrogen evolution. By integrating UiO-67 with ZIS and Pt nanoparticles, an intimate heterointerface with pronounced interfacial charge redistribution is established, featuring spontaneous electron transfer from UiO-67 to ZIS. As a result, the UiO-67/ZIS/Pt composite delivers a hydrogen evolution rate 15.69 times higher than pristine ZIS, together with an apparent quantum yield of 5.94% at 380 nm and excellent cycling stability. Mechanistic studies reveal that UiO-67 functions as an interfacial charge-regulation platform that promotes Z-scheme electron flow while suppressing charge recombination. This work provides a rational approach for overcoming the intrinsic limitations of metal sulfide photocatalysts via MOF-mediated Z-scheme engineering.

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JOURNAL OF CHROMATOGRAPHY A · 2026 · IF 4

Green Ultrasound-Assisted Extraction of Flavonoids from Scutellariae Radix Using Deep Eutectic Solvents: A Hybrid BBD-ANN-GA Optimization Strategy and Mechanistic Insights

Qiuyue Hu,Ruochen Qi,Xindi Feng,Dian Jin,Li Sun,Zuoxiang Zeng,Feng Liang,Zhongli Xiong,Zhen Liu

Deep eutectic solvents (DESs) have emerged as promising green alternatives to conventional organic solvents for the sustainable extraction of bioactive compounds from medicinal plants. In this study, a DES-based extraction system enhanced by ultrasound was employed to extract flavonoids from Scutellariae Radix (SR). A hybrid optimization strategy integrating Box-Behnken design (BBD), artificial neural network (ANN) modeling, and genetic algorithm (GA) was utilized to maximize the extraction efficiency. Under the optimized conditions, the predicted yield of flavonoids reached 194.58 mg/g, which was in close agreement the experimental value (194.03 mg/g). The purified DES extracts exhibited strong antioxidant activity. After five consecutive extraction cycles, the DES maintained its structure stability and retained a high extraction yield with only a 11.39% decrease. The characterization of the solid extraction residue indicated the microstructure of SR was disrupted by the DES, facilitating the release of flavonoids. In addition, mechanistic studies based on quantum chemical calculations revealed strong hydrogen bonding and orbital interactions between the DES and flavonoids as key contributors to the extraction process. These results demonstrate the potential of DESs as tunable and reusable media for the efficient extraction of natural products, supported by both experimental data and molecular-level insights.

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