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Food Bioscience · 2025 · IF 5.9

Structural characterization and probiotic activity of Chenpi polysaccharides prepared by fermentation with Bacillus licheniformis

Yangjincan Liu,Yuqing Huang,Haiming Hu,Huabing Yang,Lei Xiong,Junping Zheng,Tianxiang Zhu,Zhigang Zhang,Hongtao Liu

s Chenpi is a traditional medicinal and edible food in China. Chenpi polysaccharide (CP) is one of the main active components of Chenpi. This study established a fermentation process using Bacillus licheniformis to obtain fermented Chenpi polysaccharides (FCP) with a reduced degree of polymerization. FCP is an acidic polysaccharide exhibiting a molecular weight of 3720 Da. The three predominant monosaccharides in FCP were arabinose (31.75%), galactose (24.77%), and galacturonic acid (20.94%). According to comprehensive NMR studies, its main chain primarily comprised two types of residues: →4)-α-GalA p- (1→ and →4)-α-Gal p , while its side chains started with →2)-α-Fuc p- (1→ or →2)-β-Rha p- (1→ residues, which were further linked to extending residues such as →4)-β-Ara p- (1→ or →5)-α-Ara f- (1→, and ultimately terminated with terminal residues T-β-GalA p , T-β-Glc p , or T-α-Ara f . Compared to commercial pectic polysaccharides (PP), FCP exhibited higher solubility, a looser structure, and lower viscosity. In vitro gut microbiota fermentation demonstrated that FCP substantially enhanced the proliferation of beneficial bacteria, including Paraprevotella and Lachnospiraceae , while suppressing pathogenic bacteria like Shigella . Furthermore, FCP enhanced short-chain fatty acids (SCFAs) production by gut microbiota, particularly acetic and propionic acids. In the single-strain fermentation experiment, FCP promoted the growth of Lactococcus lactis , Pediococcus acidilactici , Parabacteroides distasonis , and Bacteroides thetaiotaomicron . Metabolomic analysis of Bacteroides thetaiotaomicron fermentation broth further revealed that FCP altered the composition of bacterial metabolites, enhancing the biosynthesis of beneficial metabolites, including propionate, 4'-O-methylglucoliquiritigenin, and cyclokievitone hydrate. This study indicated that B. licheniformis fermentation improves the physical and prebiotic properties of CP, providing new insights for the bioprocessing of Chenpi.

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JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY · 2025 · IF 14.3

Truss-inspired ultra-high strength, fire-safe, and thermal insulating double-crosslinked wood aerogels

Yue Xu,Shuhui Liang,Wanying Wang,Chentao Yan,Lubin Liu,Dawei Jiang,Min Hong,Miaojun Xu,Bin Li,Siqi Huo

Bio-based wood aerogel is one of the most promising materials to replace traditional petrochemical-based insulation materials. However, the flammability and poor mechanical strength of bio-based wood aerogels limit their applications in emerging fields. Inspired by a truss-supporting system, this study prepared a multifunctional bio-based cross-linked wood aerogel (TSP@Ca) by a dual hydrogen-ionic bonding strategy involving an oxidized wood cellulose framework, sodium alginate, phytic acid (PA), and Ca 2+ . Finite element simulation and mechanical analysis indicated that the multi-point support structure, resembling a truss framework, formed in the oxidized wood template significantly improved the strength of TSP@Ca aerogel (9.99 MPa), with a 154.84% enhancement relative to that of oxidized delignified wood (TODW). The limiting oxygen index of TSP@Ca3 aerogel was as high as 43.3%, and it can extinguish immediately when the fire was removed. The introduction of PA and Ca 2+ promoted the dehydration, cross-linking, and charring of TSP@Ca aerogel, while the produced phosphorus-containing free radicals played an inhibitory role in the gas phase. Therefore, the peak of heat release rate of TSP@Ca aerogel was 80.66% lower than that of TODW, showing excellent fire safety. Benefiting from the complex heat conduction path and enhanced interface resistance, the thermal conductivity of TSP@Ca was 46.4% lower than that of TODW. The resulting aerogel combines ultra-high mechanical strength, excellent fire resistance, and thermal insulation, aligning with “green” development goals and offering broad application potential in construction, rail transport, and new energy sectors.

CAS / MDL: 2564-83-2 64-19-7
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Metabolites · 2025 ·Vol. 15 ·期 10 ·667 · IF 3.7

Differential Metabolic Analysis of Rhizomes in Shancigu Based on Widely Targeted Metabolomics

Zhu-Yi Gao,Yi-Bo Yang,Li-Cheng Liu,Xue Li,Yan-Bo Huang,Qiang Zhou

Background: Shancigu is a traditional Chinese medicine which is effective at clearing heat, detoxifying, dissipating masses, and resolving nodules. It consists of the dried pseudobulbs of orchids such asCremastra appendiculata, orPleione yunnanensis. To deeply understand the differences in the compositional and pharmacological active compounds in Shancigu, this study employed widely targeted metabolomics to analyze differential metabolites between two Shancigu species,C. appendiculataandP. yunnanensis. Methods: In this study, ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS) was used to qualitatively, quantitatively, and differentially analyze the metabolites ofC. appendiculataandP. yunnanensis. Results: Metabolite profiling identified 2890 compounds across 13 classes. Within these, 687 metabolites showed significant differential abundance (23.76% total), including 331 upregulated and 356 downregulated compounds. Pathway enrichment analysis revealed these differential metabolites primarily concentrated in stilbenoid biosynthesis (types I and II) and flavonoid aglycone biosynthesis. The most highly expressed metabolites in theCremastragroup were L-tyrosine, dopamine and 3,4-dihydroxybenzaldehyde-xylose-glucoside, while in thePleionegroup, the most abundant metabolites were 3,5-dihydroxy-2’-methoxy-4-methylbibenzyl, Shancigusin F and aloifol I.C. appendiculatapreferentially accumulates flavonoids and phenolic acids whereasP. yunnanensisfavors terpenoid and nucleotide derivative production. Conclusions: This study identifies key differential metabolites inC. appendiculataandP. yunnanensis, providing basic data for the overall evaluation and breeding of Shancigu, laying a foundation for further quality control and precise medication of Shancigu.

CAS / MDL: 64-19-7
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Journal of Materials Chemistry A · 2025 · IF 9.5

Dilute alloying-induced d–p orbital hybridization in Pd–Bi metallene arrays for electrocatalytic coupling of carbon dioxide and nitrate to urea

You Xu,Hao Chen,Youwei Sheng,Taoyuan Tian,Kai Deng,Ziqiang Wang,Hongjie Yu,Liang Wang,Hongjing Wang

Electrocatalytic urea synthesis from CO2 and NO3− offers a dual solution for greenhouse gas mitigation and industrial effluent valorization, while enabling renewable energy storage. Rational design of advanced catalysts for urea electrosynthesis represents a scientifically critical yet persistently challenging endeavor. In this study, we developed Pd–Bi dilute alloy metallene arrays grown on Cu foam (Pd–Bi/CF) by a two-step galvanic replacement strategy. The optimized Pd10–Bi90/CF could deliver a notable urea yield rate of 2165.2 μg h−1 cm−2 with 45.3% faradaic efficiency at −0.25 V vs. reversible hydrogen electrode (RHE). Experimental and computational studies validated that d-p orbital hybridization between d-block Pd and p-block Bi in Pd10–Bi90/CF modulates the electronic structure of active sites, thereby facilitating adsorption and activation of NO3− and CO2, synergistic generation of key intermediates *NH2 and *CO, and selective C–N coupling toward urea synthesis. This study demonstrates a viable pathway toward optimizing Bi-based catalysts for electrocatalytic urea synthesis.

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CARBOHYDRATE RESEARCH · 2025 · IF 2.5

Azobenzene-modified chitosan composites harnessing high-efficiency photosensitive shape memory behaviors

Ziyun Li,Shuai Yang,Menghua Hou,Sitong Wang,Jiaying Liu,Zhichao He,Zijian Song,Yingchun Li

Chitosan-based shape memory polymers (SMPs) represent a promising class of smart materials for biomedical and packaging applications, yet their development is often limited by the reliance on solutions and thermal stimuli. To enable remote and precise control, this study focuses on developing photosensitive SMPs by conferring light responsiveness to chitosan. Azobenzene-modified chitosan (CSM) was synthesized via a three-step process involving maleic anhydride modification of chitosan followed by free radical grafting with 4-acryloyloxyazobenzene. Composite films (CSMCFs) were then prepared by blending the CSM with poly(vinyl alcohol) (PVA) at varying mass ratios. The chemical structures of the intermediates and the final composite were confirmed by 1 H NMR and FTIR spectroscopy. The incorporation of azobenzene groups was verified by UV–vis spectroscopy, and the thermal properties were assessed by thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC). The photosensitive shape memory behavior was quantitatively evaluated by measuring the shape fixation rate (R f ) and shape recovery rate (R r ) under 365 nm UV light irradiation. The optimal composites (CSMCF-3), with a CSM/PVA ratio of 3/7 and 0.5 % azobenzene derivative, exhibited a high shape fixation rate of 97.2 % and an exceptional shape recovery rate of 93.3 % within 300 s. These results demonstrate the high potential of these composite films for applications in smart packaging and biomedical devices where remote, light-triggered actuation is desired.

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Asia-Pacific Journal of Chemical Engineering · 2025 · IF 1.6

The Impact of Organic Constituents in Coal Chemical Wastewater on Additive Adsorption at the Coal Surface: Experimental Investigation and Molecular Dynamics Simulation

Yi Xiang,Zhen Zhao,Fuyan Gao,Zhenghui Zhao,Hang Li,Eric J. Hu,Ruikun Wang

Direct preparation of coal–water slurry using coal chemical wastewater represents an economical and feasible approach for wastewater resource utilization. Unlike clean water, however, the complex organic components in wastewater may exert adverse effects on slurry properties. To explore the mechanism underlying the influence of organic components in coal chemical wastewater on the adsorption characteristics of additives onto coal surfaces, address the issue of slurry property variations arising from slurry preparation with different wastewaters, and verify the technical and economic feasibility of wastewater-based coal–water slurry preparation, this study integrated isothermal adsorption experiments with molecular dynamics (MD) simulations. With deionized water as the control group, the study systematically analyzed the effects of four typical organic pollutants, namely, quinoline, phenol, acetic acid, and 5-hydroxymethylfurfural (5-HMF), on the “coal-additive” adsorption system, while comparing the economic performance of preparation strategies in the context of coal–water slurry production lines. The results demonstrated that the Langmuir model (with a fitting deviation of < 6%) and Δ G 0 ads (all negative values) confirmed the spontaneous nature of the adsorption process. The order of additive adsorption capacity and system interaction energy was determined as quinoline > deionized water > acetic acid > phenol > 5-HMF, where quinoline promoted adsorption whereas the other three components exhibited inhibitory effects. MD simulations revealed that the interaction between coal and additives in deionized water was primarily dominated by van der Waals forces. Organic components reduced electrostatic repulsion but caused a more significant weakening of van der Waals forces, and monolayer adsorption was identified as the optimal microscopic configuration for additives to exert their functional effects—this conclusion was consistent with analyses of adsorption configuration, molecular density distribution, and mobility. Economic analysis indicated that when comparing the two strategies of “adjusting additive dosage” and “ozone oxidation pretreatment,” and taking into account the environmental benefits of wastewater treatment, coal–water slurry preparation using coal chemical wastewater could achieve significant positive benefits under appropriate strategies compared with the conventional method, thereby realizing a win-win scenario for both wastewater treatment and economic gains. This study clarifies the regulatory mechanism of organic components in wastewater on additive adsorption from both macro- and micro-dimensional perspectives, confirms the technical and economic feasibility of coal chemical wastewater-based coal–water slurry preparation, and provides crucial support for advancing the coordinated development of industrial wastewater resource utilization and clean production.

CAS / MDL: 108-95-2 64-19-7 67-47-0
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ANALYTICAL CHEMISTRY · 2025 · IF 6.7

19F NMR-Guided Chiral Analysis and Machine Learning for Absolute Configuration Prediction of Carboxylic Acids

Shuyi Lu,Qian Wu,Shanshan Wang,Dongru Sun,Yan Liu,Shaohua Huang,Biling Huang

19F-labeled molecular probes offer significant advantages in chiral analysis, with their stereostructures playing a critical role in enantiodiscrimination. Rapid and accurate assignment of absolute configurations is particularly important for the pharmaceutical field and asymmetric synthesis. This work presents a comparative evaluation of two 19F-labeled probes as CDAs: aromatic P1 ((S)-1-(2-fluorophenyl)ethylamine) and aliphatic P2 (trans-2-fluorocyclohexanamine), focusing on their enantiomeric recognition of chiral carboxylic acids. The results demonstrate that P1 outperformed P2, particularly in analyzing carboxylic acids with chiral centers positioned several carbons away from the carboxyl group or possessing multiple chiral centers. Density functional theory calculations elucidated the underlying mechanisms, revealing that P1’s great recognition efficiency arises from a larger energy difference between diastereomers and the formation of hydrogen bonds between its fluorine atom and the analytes’ protons. These findings emphasize the importance of probe–analyte interactions in CDA-based enantiorecognition systems for achieving high-resolution discrimination. Moreover, P1 exhibited practical applications in determining ee values and analyzing various brands of ibuprofen capsules and tablets, highlighting its potential for pharmaceutical quality control. Furthermore, we introduced a novel online platform combining a P1-guided 19F NMR approach with machine learning for automated prediction of absolute configurations. This work sheds light on the differences between aromatic and aliphatic probes in enantiorecognition, while introducing an online predictive tool, in favor of the design of 19F molecular probes and the rapid assignment of absolute configurations.

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Journal of Environmental Health Science and Engineering · 2025 ·Vol. 23 ·期 2 ·1-15 · IF 2.8

Activation of H2O2 by nano zero-valent iron (nZVI) enables fast sulfadiazine degradation: mechanistic insights and process optimization

Luo Weishi,Cao Jiayu,Dai Weixuan,Geng Qingfen,Qiu Yuankai,Yu Hanying,Ye Zhuotian,Liu Huan

Background Antibiotic contamination in aquatic systems demands advanced oxidation solutions. This study develops a nano zero-valent iron (nZVI)-activated peroxide system to address sulfadiazine (SDZ) persistence and associated ecological risks. Methods Structural properties of nZVI were analyzed by TEM/XRD. Process parameters were optimized through Box-Behnken design. Degradation mechanisms were investigated via radical quenching experiments, HPLC-MS analysis, and acute toxicity bioassays. ‌ Significant findings The system achieved complete SDZ (20 mg L⁻¹) removal within 5 min under optimal conditions (pH 2.44, 0.12 g L⁻¹ nZVI, 0.009% H₂O₂), showing strong agreement with pseudo-first-order kinetics (k = 0.637 min ⁻¹, R²=0.998). Hydroxyl radicals dominated SDZ degradation, generating 12 transformation products through amino oxidation, hydroxylation, and sulfonamide bridge cleavage. Toxicity reduction (60–90% EC50 improvement) confirmed effective detoxification. This work establishes nZVI-driven peroxide activation as a viable strategy for antibiotic wastewater remediation. Graphical abstract

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Journal of Environmental Chemical Engineering · 2025 · IF 7.2

Recovery of zinc from hot-dip galvanizing slag through an ozone-assisted leaching and precipitation process with a reusable leaching system

Chaowu Wang,Chuitao Kong,Haotian Tang,Mengwei Guo,Qibo Zhang

Hot-dip galvanizing slag, a zinc-rich industrial byproduct, presents both resource potential and environmental challenges in conventional hydrometallurgical recovery due to excessive acid consumption and limited selectivity. This study presents a novel ozone (O 3 )-assisted leaching and precipitation strategy for selective zinc recovery from hot-dip galvanizing slag. By leveraging the synergistic effects of O 3 oxidation and a choline chloride-ethylene glycol (ChCl-2EG) deep eutectic solvent (DES), the proposed method achieves efficient metal leaching (Zn: 99.6 %, Fe: 99.3 %, Al: 99.5 %) through controlled acidification. Subsequent water addition induces structural transformation of zinc complexes from [ZnCl 4 ]²⁻ to [ZnCl 4 (H 2 O) 2 ]²⁻, enabling phase separation. Precise pH control at 2.8 using oxalic acid results in selective zinc precipitation with 91.1 % efficiency while maintaining iron and aluminum in the solution. The residual solution undergoes distillation for water removal and recycling, demonstrating stable performance over five consecutive cycles. This closed-loop process eliminates excessive acid usage, reduces liquid waste by 85 %, and achieves 94 % reagent recovery efficiency, establishing an environmentally benign pathway for zinc resource reclamation.

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Journal of Environmental Chemical Engineering · 2025 · IF 7.2

Adsorption-desorption behavior of sulfamethazine on biodegradable polyester microplastics: Effects of sunlight vs. sewage microbial exposure

Yuan Li,Xuejiang Wang,Yuan Wang,Siqing Xia,Hongbin Xu,Jianfu Zhao

The co-occurrence of biodegradable microplastics (BMPs) and antibiotics in wastewater poses environmental concern. However, the effects of different environmental ageing processes on antibiotic-BMPs interfacial interactions remain inadequately characterized. This study systematically compared the adsorption-desorption behaviour of sulfamethazine (SM2) onto biodegradable poly(butylene succinate) microplastics (PBS-MPs) subjected to sewage microbial exposure (B-PBS-MPs) and sunlight exposure (P-PBS-MPs). Kinetics of SM2 adsorbed on all MPs conformed to the Elovich model, indicating that the adsorption rates synergistic controlled by liquid-film and intra-particle diffusion. The maximum adsorption capacities predicted by Langmuir model increased from 76.52 μg/g for PBS-MPs to 316.58 μg/g for B-PBS-MPs and 351.49 μg/g for P-PBS-MPs, indicating that sunlight exposure exerted more pronounced adsorption enhancement than microbial exposure. Mechanistic divergences were observed: pristine PBS-MPs exhibited Langmuir-type monolayer adsorption dominated by non-bonding interactions, whereas sunlight-exposed P-PBS-MPs followed Freundlich-type multilayer adsorption driven by hydrogen bonding and van der Waals forces. For microbial-exposed B-PBS-MPs, adsorption obeyed the Langmuir-Freundlich model—micropore filling may dominated at low SM2 concentrations, while complexation of SM2 and biofilm-associated extracellular polymeric substances (EPS) prevailed at higher concentrations. The results of desorption hysteresis indicated the most stable SM2 retention in microbial-exposed MPs via SM2-EPS chemical bonds and the least stable SM2 adsorption in sunlight-exposed MPs due to the weak binding force. These findings demonstrate that ageing differentiates biodegradable MPs into distinct antibiotic vectors: microbial exposure enhanced adsorption capacity and stability, whereas sunlight exposure elevated remobilization risks. This work contributes to the assessment of the compounded environmental risks of BMPs and antibiotics.

CAS / MDL: 64-19-7 67-56-1 75-05-8
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MICROCHEMICAL JOURNAL · 2025 · IF 5.1

Molecularly imprinted electrochemical sensor for ultrasensitive detection of quercetin in grapes and derived products

Xuedong Jia,Hongyuan Guo,Runying Chai,Jingbin Shi,Hao Wu,Yujue Feng,Wei Ji,Suozhu Wu

A dual-functional membrane modified electrode - based molecularly imprinted electrochemical sensor was developed for the ultrasensitive and selective detection of quercetin (Que). The dual-functional membrane consisted of chitosan-modified carboxylated multi-walled carbon nanotubes (cMWCNT-CS) nanocomposites and β-cyclodextrin/dopamine molecularly imprinted polymer (β-CD-DA-MIP). The synergistic interactions between the conductive layer of cMWCNT-CS and the recognition element of β-CD-DA-MIP enabled high-performance detection of Que. This sensor exhibited an ultra-wide linear response range of 1.0 × 10 −14 to 1.0 × 10 −4  M with a limit of detection of 2.9 × 10 −16  M (S/N = 3). The sensor also had the advantages of simple fabrication, rapid response (6 min), excellent reproducibility, and high selectivity. The sensor was successfully used to detect Que. concentration in grape, grape juice, and wine samples with satisfactory results. This study provided a simple, efficient, and ultrasensitive method for monitoring the natural bioactive compounds, which offered potential applications for food quality control and pharmaceutical analysis.

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CELLULOSE · 2025 · IF 4.8

Cellulose nanocrystals prepared by different methods as toughening agents in sodium alginate/polyacrylamide hydrogels for flexible sensors

Wu Yuewei,Che Wenrong,He Ziyang,Chi Yuhang,Li Baohui,Zheng Jianwei,Zeng Xianhai,Zuo Miao

Cellulose nanocrystals (CNCs) are one of the most important biomass-derived materials for reinforcing hydrogels. Nevertheless, there is a lack of comparative studies examining the impact of CNCs synthesized via disparate methodologies on the toughening of hydrogels. This study synthesized two different CNCs through the sulfuric acid hydrolysis and deep eutectic solvent (DES) synthesis methods from Gleditsia sinensis peel, a forest residue, and compared their effects on the enhancement of the mechanical properties of SA/PAAM (sodium alginate/polyacrylamide) hydrogels. The comprehensive characterizations demonstrated that the mechanical properties of hydrogels derived from DES-CNCs are superior to those derived from S-CNCs (sulfuric acid-CNCs). The DES-CNC/SA/PAAM hydrogels revealed a homogeneous structure with excellent strain (2534%), high transparency (90%), and self-adhesiveness (15 kPa). The flexible sensor assembled using hydrogels exhibited accurate real-time monitoring capabilities for minor and larger strains during movement. To investigate the enhancement mechanism of CNCs on hydrogels, this work evaluated weak interaction forces between DES-CNC/SA/PAAM components through the quantum chemical theoretical calculations, with the combination of wave function analysis method and Molecular dynamics (MD) simulation. This work provides comparative tests of forestry biomass sources in hydrogel synthesis and sensing applications and suggests a new idea for high-value utilization of biomass feedstocks.

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