APPLIED CATALYSIS B-ENVIRONMENTAL
·
2026
·
IF 19.7
Dezhi Chen,Longfei Liu,Zhaolin Dou,Fanhao Kong,Xinshu Ji,Hongru Zhou,Min Wang
We report a Pd 1 -MnO 2 that enables efficient bio polyols/sugars electrooxidation under acidic conditions. • The catalyst achieves a fourfold activity that MnO 2 , a 91.1% Faradaic efficiency, and a 288 h stability for formic acid production. • A lattice oxygen assisted deprotonation mechanism is proposed to accelerate C–H/O–H bond activation and C–C bond cleavage in acidic media. Replacing the energy-intensive oxygen evolution reaction (OER) with the oxidation of biomass-derived polyols and sugars has been widely demonstrated in alkaline media, yet it remains fundamentally challenging in acidic environments due to the intrinsic difficulty of activating C–H/O–H bonds. Herein, we report an atomically dispersed palladium doped manganese dioxide (Pd 1 –MnO 2 ) catalyst that effectively overcomes these limitations. This catalyst exhibits over 4-fold enhancement in catalytic activity compared with pristine γ-MnO 2 , achieving a Faradaic efficiency of 91.1% and sustaining a formic acid production rate of 650 μmol cm −2 h −1 over 288 h during glycerol oxidation. Mechanistic investigations reveal a lattice oxygen assisted deprotonation mechanism, wherein single-atom Pd activates adjacent lattice oxygen to accelerate C–H/O–H bonds activation and subsequently promote hydrated C–C bond cleavage, thereby enabling the highly selective oxidation of diverse bio-polyols and sugars to formic acid. Furthermore, by integrating Pd 1 –MnO 2 into a PEM electrolyzer, we demonstrate a practical strategy for upgrading the mixed soluble sugars from hydrolysis of raw biomass to formic acid, and techno-economic analysis corroborates the economic advantages of this approach. Collectively, this work provides molecular-level design principles for developing oxygen-mediated electrocatalysts capable of operating efficiently in acidic environments. Download: Download high-res image (222KB) Download: Download full-size image
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SEPARATION AND PURIFICATION TECHNOLOGY
·
2026
·
IF 9.1
Shiwei Guo,Liang Gou,Yuhan Wang,Haoran Xiong,Xiaoying Ma,Ming Li,Chungang Yuan
The permeability–selectivity trade-off and the permanent hydraulic resistance introduced by conventional interlayers remain critical challenges for thin-film composite polyamide nanofiltration (NF) membranes. In this paper, we present a low-cost, transient polyester interlayer strategy that utilizes pyrogallol (PG) and trimesoyl chloride (TMC) to regulate interfacial polymerization (IP). A transient polyester interlayer strategy is presented, in which the PG-TMC layer serves as a temporary regulatory scaffold: it suppresses piperazine diffusion during interfacial polymerization and subsequently undergoes partial structural disintegration in aqueous environments, leaving behind a residual porous sublayer with tunable content, thereby avoiding the formation of dense, permanent mass-transfer barriers. This process of kinetic suppression resulted in the compression of the IP reaction zone, thereby yielding a significantly thinner (∼60 nm), smoother (Rq = 25.6 nm), and more uniformly porous polyamide selective layer in comparison to the pristine membrane (83 nm, Rq = 33.3 nm). Consequently, the optimized membrane achieved a ∼ 64% increase in pure water permeability (from 11.4 to 18.7 L m −2 h −1 bar −1 ) while maintaining high Na₂SO₄ rejection (95.0%). It is noteworthy that pharmaceutical rejection was significantly enhanced owing to the narrowed pore size distribution and reduced defect density, with cefalexin rejection rising from 82.6% to 95.0%. In the context of cyclic cross-flow fouling conditions, the modified membrane exhibited enhanced flux and favorable flux recovery, thereby substantiating that the observed permeability enhancement was not attained at the expense of antifouling efficacy. The stability of the separation selectivity was verified over a period of 32 h by conducting long-term cross-flow tests. In contrast to conventional permanent interlayers, the PG-TMC layer functions as a transient regulatory layer and undergoes partial structural disintegration in aqueous environments. This prevents the formation of dense permanent mass-transfer barriers. Utilizing commercially available reagents and a simple dip-coating process that is fully compatible with existing manufacturing lines, this strategy offers a scalable route toward high-performance NF membranes.
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ENVIRONMENTAL SCIENCE & TECHNOLOGY
·
2026
·Vol. 60
·期 30
·21320-21331
·
IF 12.2
Ma Likun,Sun Peng-Fei,Deng Yuling,Zhu Zhiyang,Liang Huaxing,Yang Yi,Lu Xinglin
Achieving stringent boron compliance in seawater desalination
has
long depended on energy-intensive multipass reverse osmosis (RO) with
alkaline dosing, creating a trade-off between energy consumption and
water quality. This work breaks this bottleneck by developing a hybrid
single-pass multistage (HSPM) system with selectivity-optimized loose
RO membranes. Tailoring commercial RO membranes into high-flux variants
via a 5 h controlled chlorination achieves an optimal balance, whereas
an extended 20-h modification causes an impractical 24.1-fold increase
in boron passage. Mechanistic analysis reveals that the 4-fold increase
in apparent activation energy ( E a ) for
B(OH) 4 – transport at pH 11 fails to fully
offset the intrinsic loss of steric selectivity under neutral conditions.
To overcome this material-level limitation, a multidimensional performance
map identifies the operational sweet spot of the HSPM system, enabling
membranes with moderate boron rejection and high water permeance to
meet the 1.0 mg L –1 threshold via multistage blending
and energy recovery. Coupling the 5 h chlorinated membrane with an
optimized 3-stage configuration theoretically yields a ∼42.5%
energy saving versus conventional two-pass RO. This research establishes
a novel paradigm for application-specific membrane selection and process
synergy, offering a scalable, low-carbon blueprint for desalination
and water reuse.
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Separations
·
2026
·Vol. 13
·期 8
·222
·
IF 3.5
Bo Yang,Ping Wang,Wentian Li,Xuanye Wei,Wenqian Bi,Chele Mugong,Sicheng Ye,Yunchong Jiang,Yoshinori Yamaguchi,Zhenqing Li
Capillary electrophoresis (CE) is widely used for DNA fragment analysis, but its separation performance depends strongly on the composition of the polymer sieving matrix, especially in multicapillary systems where matrix operability and reproducibility are critical. Herein, a laboratory-built multicapillary electrophoresis system was used to optimize the sieving matrix for high-throughput DNA fragment separation. The system integrated twelve fused-silica capillaries, high-voltage electrokinetic injection, fluorescence detection, and digital electropherogram acquisition. Using a 100 bp DNA ladder as the model sample, the effects of poly(ethylene oxide) (PEO), Tween 20, and glycerol on electropherogram quality were systematically investigated. PEO concentration was the dominant factor controlling the dynamic sieving network: 0.1% PEO provided insufficient separation, whereas 0.8–1.0% PEO produced clearly resolved DNA peaks. Tween 20 improved peak regularity and electropherogram quality under the tested conditions, with 0.05% providing sufficient improvement without prolonging migration time. Glycerol affected peak distribution by increasing apparent migration resistance in the polymer matrix; however, excessive glycerol slowed DNA migration and markedly extended the separation window. Considering separation quality, matrix operability, and analytical efficiency, 1.0% PEO, 0.05% Tween 20, 2.5% glycerol, 1× SYBR Gold, and 0.5× TBE were selected as the optimized sieving matrix. Under the optimized matrix, inter-capillary migration-time alignment improved the consistency of parallel capillary outputs, with corrected migration-time RSD values generally below 0.5%. The optimized formulation provides a practical basis for high-throughput CE-based DNA fragment analysis.
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ULTRASONICS SONOCHEMISTRY
·
2026
·
IF 10.2
Yangyang Zhang,Weifeng Jin,Tianxue Chen,Jin Han,Li Yu,Haitong Wan,Haofang Wan
This study developed an efficient and sustainable extraction process for extracting ferulic acid (FA) and ligustilide (LIG) from Angelica sinensis Radix (ASR) using green natural deep eutectic solvents (NADESs) by machine learning optimization. After screening, L-proline/methylurea was identified as the optimal NADES system, and the genetic algorithm optimized back-propagation neural network (GA-BPNN) model demonstrated superior predictive performance over traditional methods (MSE = 1.7 × 10 5 , R 2 = 0.9860). Under the optimized conditions (NADES volume fraction 67.44%, ultrasonic time 25.556 min, ultrasonic temperature 59.791 ℃, and solid–liquid ratio 7.610 mg/mL), the predicted extraction yield was 0.149, which closely matched the experimental yield of 0.151. Shapley Additive Explanations (SHAP) analysis further indicated that the NADES volume fraction was the most critical factor affecting extraction efficiency. Animals’ experiments demonstrated that both FA and LIG significantly ameliorated neurological deficits and reduced cerebral infarct volume in middle cerebral artery occlusion/reperfusion (MCAO/R) mice. To further elucidate the underlying antioxidant mechanism, Mendelian randomization (MR) analysis was employed, revealing a significant causal relationship between FA and superoxide dismutase (SOD) expression (P = 0.0265), but no significant association with heme oxygenase-1 (HO-1); LIG showed no significant association with either. These findings were corroborated in MCAO/R mice, FA administration significantly increased SOD levels in plasma. Collectively, the GA-BPNN-guided NADES combined with ultrasound assisted extraction (UAE) strategy significantly enhanced the extraction of bioactive compounds from ASR. Moreover, the integrated approach combining MR analysis with in vivo experiments provided converging evidence supporting the underlying specific antioxidant mechanism mediated by FA. Download: Download high-res image (169KB) Download: Download full-size image This study developed an efficient extraction process for ASR using NADES combined with ultrasonic assistance, optimized via machine learning models, and evaluated the antioxidant activities of FA and LIG in relation to SOD and HO-1 expression.
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FOOD CHEMISTRY
·
2026
·
IF 10.4
Mengting Zhao,Yingxue Tang,Xiaoyu Yin,Majida AL-Wraikat,Junfeng Fan,Xiangning Chen,Bolin Zhang
This study develops MOF patches for controlled NO release in produce preservation. • MOF loading effectively protects NO donors from loss during wet-casting fabrication. • Three metal-node MOF patches enable differential NO release profiles. • Patch integrates moisture absorption, microorganism and respiration inhibition. • MOF patches significantly extend produce shelf life while reducing precursor loss. Nitric oxide (NO) preservation suffers from instability and safety issues via conventional single-exposure treatments, while wet-casting methods cause substantial NO donor loss. This study developed metal-organic framework (MOF)-mediated controlled-release patches to address these limitations. Three MOFs (Cu-MOF, Zn-MOF, Fe-MOF) with distinct pore structures were synthesized, achieving 26.9%–38.2% L-arginine loading. The resulting gelatin-polyacrylic acid sodium hydrogel patches exhibited tensile strength of 3.03–4.84 MPa and elongation at break of 131.3%–240.1%, and dissolution rates of 12.4%–17.2%. They also showed significant antimicrobial activity against E. coli, S. aureus, and A. niger . MOF loading elevated precursor utilization efficiency to 70%–82.5%. The patches achieved sustained release of H₂O₂ (8.0–9.6 mmol/g) and NO (41.7–50.6 ppm) over 12 days, extending cherry tomato shelf life to 12 days at room temperature while maintaining total bacterial levels within safe limits. This work establishes MOF-mediated controlled release for green preservative gas utilization. Download: Download high-res image (189KB) Download: Download full-size image
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npj Flexible Electronics
·
2026
·
IF 15.4
Huang Longchao,Li Ruoxi,Li Xuelan,Sun Yue,Wang Shenglong,Lan Boling,Li Guanfa,Jin Long,Zhu Wei,Yang Weiqing,Deng Weili
Occlusal dysfunction is a prevalent orofacial disorder characterized by aberrant occlusal force transmission and dysregulated masticatory muscle activity. Currently, quantitative characterization of occlusion-related neuromechanical activity remains challenging in clinical practice. In this study, we propose a skin-interfaced bimodal sensing patch that integrates serpentine-structured piezoelectric poly(vinylidene fluoride) (PVDF) films with conductive hydrogel electrodes for simultaneous monitoring of facial skin deformation and muscle electrophysiology during occlusal activities. The island-serpentine design ensures high mechanical compliance while preserving stable electromechanical performance over more than 14,000 loading cycles. The hydrogel interface serves not only as an adhesive layer ensuring conformal adhesion of the PVDF film to the skin but also functions as a low-impedance electrode, enabling high-fidelity surface electromyography (sEMG) acquisition with a signal-to-noise ratio of ~30 dB. Through combined analysis of piezoelectric and sEMG signals, the system distinguishes functional occlusal actions, including normal occlusion, deep overbite, crossbite, and mandibular deviation. This bimodal framework provides a preliminary proof-of-concept for multimodal functional characterization of occlusal biomechanics and suggests potential applicability in noninvasive occlusal function assessment.
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Advanced Science
·
2026
·
IF 14.1
Shuling Liu,Beibei Xie,Xingyue Lou,Yu Deng,Lei Wang,Jiawei Li,Dongming Qi
The high‐speed impact of droplets is fundamental to frontier applications ranging from high‐resolution inkjet printing to precision agriculture. However, simultaneously suppressing stochastic splashing and achieving controllable, uniform spreading on hydrophilic surfaces remains a formidable challenge. Herein, we report a strategy to modulate droplet dynamics, which triggers a structural transition in anionic surfactant (SDS) aggregates via quaternary ammonium cationic induction (CT 1 , CT 4 ). This transition yields a sophisticated internal wormlike micelle (WLM) network that facilitates splash‐free, spatially confined deposition. As a proof of concept, we demonstrate the dual‐regulatory role of the WLM network during high‐speed impact on cotton fabrics. Specifically, the synergistic interaction between CT 4 ‐SDS aggregates and the ionic bonding with the cellulose backbone effectively inhibits excessive spreading during the initial wetting phase. Furthermore, the entanglement of the WLM network with the hierarchical micro/nano‐structures of cellulose fibers generates a powerful interfacial mechanical pinning effect. This effect immobilizes the three‐phase contact line and constructs a spatial barrier at the spreading front. As a result, a stabilized liquid film and uniform circular deposition are ensured. Overall, this study provides a novel mechanistic pathway for steering droplet impact kinetics and offers critical insights into the design of complex fluids for high‐performance functional coating and deposition. As displayed in Graphical image.tif, a molecular‐design strategy precisely tailors high‐speed droplet dynamics through programmed surfactant co‐assembly. The structural transition into an entangled wormlike micelle network completely suppresses stochastic splashing on fibrous substrates. This internal architecture drives rapid interfacial activity and powerful mechanical pinning, unlocking a universal paradigm for high‐precision fluid patterning and deposition.
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FOOD HYDROCOLLOIDS
·
2026
·
IF 13.8
Qisheng Tian,Zhongxian Zhang,Zhen Wang,Xiaofan Xing,Liling Fu,Changhong Liu,Lei Zheng
To promote the utilization of defatted microalgae residues, Haematococcus pluvialis and Nannochloropsis oculate , which widely cultivated for commercial extraction of high-value functional lipids, were selected in this study. The physicochemical and structural properties of proteins extracted from defatted residues were comprehensively compared, and their potential in constructing chitosan (CS)-based active packaging films was explored. Compared to NORP, HPRP possessed higher total amino acid content of 84.75 g/100 g protein, smaller particle size, stronger electrostatic repulsion, and highly flexible molecular chains, which conferred favorable compatibility with CS. Conversely, due to its higher structural rigidity characterized by elevated β-sheet content and surface hydrophobicity, NORP induced severe phase separation and macroscopic precipitation upon blending with CS. Based on this discrepancy, HPRP was selected to fabricate the CS/HPRP films, revealing that an appropriate amount of HPRP constructed a dense cross-linked network within the films through strong hydrogen bonding and electrostatic interactions, significantly enhancing the mechanical properties of films. Specifically, the tensile strength and elongation at break of CS/HPRP-1 reached 4.02 MPa and 87.57%, respectively, which also demonstrated superior UV-shielding properties with a UVA blocking rate of 95.89%, strong antioxidant activity, and superior CO 2 /O 2 selectivity. In practical application, the CS/HPRP-1 coating effectively reduced water loss and non-enzymatic browning in Red Globe grapes, while maintaining fruit firmness and ascorbic acid content over 12 days of storage, thereby significantly delaying quality deterioration. This study elucidates the structure-function relationships of microalgae proteins and provides a sustainable strategy for developing high-performance food preservation materials from microalgae waste.
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COMPOSITES COMMUNICATIONS
·
2026
·
IF 8.6
Sheng Chu,Xiaoxia Sun,Changjie Chen,Xinhou Wang
One-pot HDPU networks were constructed for flexible aramid composites. • Fast/slow boron dynamics couple impact dissipation with shape stability. • Permanent PU skeleton suppresses cold flow and long-term chain slippage. • AF/HDPU achieved 91.20% energy absorption efficiency under 25 J impact. • AF/HDPU retained 76.35% energy absorption efficiency after seven impacts. A hierarchical dynamic polyurethane network (HDPU) combining a permanent polyurethane (PU) skeleton, fast Si-O-B dynamics, and slow aromatic boronate ester dynamics was constructed through a one-pot strategy and applied to flexible aramid composites. The fast-dynamic network promoted rate-sensitive energy dissipation under impact, whereas the slow-dynamic network and permanent PU skeleton suppressed long-term segmental slippage and cold flow. HDPU retained its macroscopic shape after standing for 68 d, whereas the shear-stiffening gel control exhibited pronounced cold flow. After the same storage period, the aramid fabric/HDPU (AF/HDPU) composite retained 98.08% of its initial energy absorption efficiency. Under a 25 J impact, AF/HDPU achieved an energy absorption efficiency of 91.20%. After seven repeated impacts, the energy absorption efficiency remained 80.13% and 76.35% at 15 and 20 J, respectively, without obvious perforation. AF/HDPU also retained 92.5%-97.2% of its initial impact performance after moisture exposure, UV irradiation, and cyclic bending. This work provides a molecular-network strategy for balancing impact-energy dissipation, dimensional stability, and service durability in flexible protective composites.
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Small Methods
·
2026
·
IF 8.7
Yulin Cai,Dunren He,Yaocheng Yang,Yunfan He,Dongmei Liu,Liujia Liu,Biao Gao,Zijun Kang,Huihui Huang
Hydrovoltaic energy harvesting offers a promising approach for self-powered electronics, but practical applications remain limited by insufficient output performance, challenges in scalable integration, and incomplete mechanistic understanding. Here, asymmetric carbon-film hydrovoltaic generators with work-function-correlated output are reported for both liquid-water and hydrogel-assisted moisture operation. A single liquid-water carbon-film hydrovoltaic generator (C-HEG) delivers ≈1.1 V and 450 µA cm − 2 , while a hydrogel-assisted carbon-film moisture-electric generator (C-MEG) delivers ≈1.0 V and 350 µA cm − 2 under ambient humidity. Modular integration scales the voltage up to ≈92 V and enables milliampere-level output currents, demonstrating the feasibility of scalable energy harvesting and power supply for small electronics. Quantitative UPS/KPFM analyses, together with comparative equivalent-circuit modeling, reveal a consistent correlation between the initial output voltage and the work-function contrast, indicating that work-function contrast can serve as a measurable descriptor of electronic asymmetry. The observed output is associated with the coupled effects of electronic asymmetry, water-mediated interfacial charging/electric-double-layer development, and hydrated-ion transport. These results suggest that electronic-structure-guided interfacial engineering may assist the optimization of asymmetric carbon-film hydrovoltaic generators for scalable self-powered and wearable electronics.
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COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
·
2026
·
IF 5.4
Ziyan Shu,Cailiu Yin
Flexible pressure sensors featuring high sensitivity, broad sensing range, and excellent mechanical stability are core components for electronic skin and intelligent human machine interaction. Herein, coupling material synergistic effect and microstructure design, we fabricated a bio based flexible piezoresistive sensor via a facile molding process. The sensor adopts a micro dome structured composite hydrogel film, using poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) and squid ink-derived carbon nanospheres (CNPs) as hybrid conductive fillers, polyvinyl alcohol (PVA) as the matrix, and glycerol as the plasticizer. Benefiting from the dual enhancement of the synergistic conductive network and stress concentration effect induced, the sensor achieves a sensitivity of 44.09 kPa −1 , a sensing range of 0–123 kPa, a fast response/recovery time of 88 ms, and excellent cycling stability over 7000 cycles, along with favorable electrical conductivity and mechanical robustness.The sensor accurately captures dynamic pressure signals, showing promising application potential in Morse code recognition, handwritten letters, and human motion monitoring. Combined with a support vector machine (SVM) model, it reaches a 98.28% test set classification accuracy for five motion states. This work provides a novel strategy for green and low cost of high performance flexible piezoresistive sensors for wearable electronics. Download: Download high-res image (251KB) Download: Download full-size image
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