CHEMICAL ENGINEERING JOURNAL
·
2019
·
IF 8.355
Jun Song,Xiaohui Wu,Meng Zhang,Cheng Liu,Jianyong Yu,Gang Sun,Yang Si,Bin Ding
Functional semiconductor nanomaterials modified TiO 2 fibrous membranes with desirable heterostructures, good mechanical properties, and superior visible-light-driven photocatalytic activity would have broad applications in environmental remediation; however, constructing such fantastic fibrous membranes still remains an enormous challenge. Herein, we fabricated a soft and heterostructured g-C 3 N 4 @Co-TiO 2 (CNCT) nanofibrous membranes by a facile electrospinning approach and subsequent thermal polymerization process. The ultrathin g-C 3 N 4 nanoshell was in situ synthesized and uniformly wrapped onto Co-TiO 2 nanofiber to form core-shell quantum heterojunction , and the thickness and loading amount of g-C 3 N 4 nanoshell can be precisely controlled through simply regulating the content of precursor (melamine). Benefiting from the three-dimensional porous networks, enhanced visible-light response, and the effective charge transfer induced by uniform and compact heterojunction, the as-synthesized CNCT membranes exhibited a prominent photodegradation efficiency of 90.8% within 60 min towards tetracycline hydrochloride, and also displayed excellent antibacterial performance with a 6 log inactivation of E. coil after 90 min visible light exposure. Moreover, the stable core-shell structures and robust mechanical strength also endow the membranes with favorable reversibility and easy-recycling ability. This study may open up new avenues for designing and constructing flexible high-performance photocatalytic membranes for water purification.
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Small
·
2026
·
IF 11.8
Puyue Xia,Zhaomeng Wang,Sining Fan,Wenhao Zhang,Ziying Li,Wei Xu,Weixin Guo,Geng Wei,Yangguang Shi,Li Zhang,Leyi Chen,Shaolong Tang
Through innovative composition and structural design, this study develops core-shell microspheres featuring Co-W alloy cores and Ag shells. Their formation relies on the synergistic effect of solid-liquid interface dewetting, principle of energy minimization, and marangoni effect. These microspheres serve as functional fillers within liquid metal (LM) matrix to create magnetic liquid metal (MLM) with magnetism and enhanced conductivity. We focus on the physical mechanism of density matching, achieved by using high-density W to align the density of Co-W cores with that of liquid Ag. This strategy effectively suppresses the upward buoyancy of cores during spheroidization. Furthermore, finite element simulations elucidate the critical role of the marangoni effect in promoting the formation of this core-shell structure. Experimental results verify that density matching significantly improves the encapsulation quality of Ag shells, thereby endowing the fillers with exceptional resistance against LM corrosion. Finally, the versatility of this MLM is validated across the magnetically actuated liquid-metal soft robot, refreshable liquid-metal blackboard, self-healing circuits, and magnetic liquid-metal strain sensor. These diverse applications underscore the immense potential of MLM as the robust candidate for modern soft intelligent systems.
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DYES AND PIGMENTS
·
2016
·
IF 4.055
Yahui Zhang,Huiling Mao,Lingwei Kong,Yong Tian,Zhonglin Tian,Xiangkai Zeng,Junge Zhi,Jianbing Shi,Bin Tong,Yuping Dong
E/Z isomers of hexaphenyl-1,3-butadiene (HPB) derivative containing dialdehyde groups, 4,4’-((1E,3E)-1,2,3,4-tetraphenylbuta-1,3-diene-1,4-diyl)dibenzaldehyde (EE-HPB-CHO), 4,4’-((1Z,3E)-1,2,3,4-tetraphenylbuta-1,3-diene-1,4-diyl)-dibenzaldehyde (EZ-HPB-CHO) and 4,4’-((1Z,3Z)-1,2,3,4-tetra-phenylbuta-1,3-diene-1,4-diyl)dibenzaldehyde (ZZ-HPB-CHO), were firstly synthesized in one-pot and readily separated by silica gel column chromatography . The E/Z isomers containing conjugated diene exhibited remarkable differences in the fields of aggregation-induced emission (AIE) or aggregation-enhancement emission (AEE) behavior, thermostability, and mechanochromic performance. Among them, EE-HPB-CHO with dense molecular packing and strong intermolecular interaction was a better AIEgen while the EZ- and ZZ-isomers exhibited AEE behavior. Moreover, EE-HPB-CHO hardly displayed the mechanochromic performance. EZ-HPB-CHO irreversibly exhibited a blue-shift of 23 nm by grinding treatment, which could not be restored by fuming with organic solvents or heating. In contrast, owing to its twisting conformation and relative loose packing, ZZ-HPB-CHO reversibly displayed a red-shift of 20 nm during multiple repeating cycles of grinding and fuming treatments, showing superior mechanochromic performance.
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JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY
·
2015
·Vol. 15
·期 12
·9887-9891
·
IF 1.556
Yuan Lin,Li Zhong Yan,Zhang Xing Yu,Li Wen Yi,Zhang Min,Yuan Xian You
A new chiral 1,3-dioxane compound was synthesized by aldol condensation reaction in this paper. The reaction of cinnamic aldehyde with 2.1 equiv. of 2,2-bis(hydroxymethyl) butanol in N, N-dimethylformamide and cyclohexane, nanosolid superacid SO2-
4/Fe2O3
was applied as catalyst, afforded the new chiral 1,3-dioxane compound (E)-(5-ethyl-2-styryl-1,3-dioxan-5-yl) methanol. The compound was fully characterized with infrared spectra, elemental analysis, melting points, 1H NMR and X-ray diffraction. Single crystal X-ray diffraction analysis revealed
that the compound crystallized in the monoclinic system, space group P2(1) with a = 5·717(2) Å, b = 11·684(4) Å, c = 10·569(4) Å, α = 90·00°, β = 99·646(4)°, γ = 90·00°,
V = 696·0(4) Å3, Z = 2, Dc = 1·185 g/cm−3, R = 0·0182, μ = 0·081 mm−1, F(000) = 268. In addition, the antibacterial activities of the compound against Bacillus subtilis, Escherichia
coli and Staphylococcus aureus have been investigated.
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PubMed
高影响因子
Chemistry of Heterocyclic Compounds
·
2014
·Vol. 50
·期 1
·12-18
·
IF 0.698
Ge H. Y.,Fang Z. J.,Qian B. H.
3-Arylcoumarins were conveniently synthesized in excellent yields by an iron(III) chloride-promoted tandem reaction using methoxy-substituted ( E )-2,3-diphenylpropenoic acids or their methyl esters. The structure of 3-(4-methoxyphenyl)coumarin was established from X-ray crystallographic data.
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Marine Drugs
·
2026
·Vol. 24
·期 11
·378
·
IF 5.7
A-Long Zhang,Yan-Qing Guo,Zheng-Biao Zou,Xian-Wen Yang,Chun-Lan Xie
Chemical investigation of the deep-sea-derived fungusPenicillium maliMCCC 3A00140 afforded two new compounds, penimeroandranoid E (1) and malistatin (2), together with 16 known ones (3–18). Their structures were established by extensive spectroscopic analyses, including 1D and 2D NMR and HRESIMS. The relative configuration of1was supported by single-crystal X-ray diffraction, and its absolute configuration was assigned by comparison of the experimental and calculated electronic circular dichroism (ECD) spectra. Compound1was the meroterpenoid reported to possess a 6/6/6/5 spirocyclic framework—a spiro-fused variant of the 6/6/6/5 carbocyclic system that was characteristic of andrastin-type DMOA-derived meroterpenoids—and its structure and relative configuration were established by single-crystal X-ray diffraction. The stereochemical assignment of2was based on NOESY correlations and biosynthetic analogy with related statins. Screening of all isolates at 20 μM in a receptor activator of nuclear factor-κB ligand (RANKL)-induced osteoclastogenesis model using primary murine bone marrow-derived macrophages identified1as the bioactive secondary metabolite. Compound1reduced the formation of tartrate-resistant acid phosphatase-positive multinucleated osteoclasts at 12.5–50 μM without decreasing cell viability after 48 h at concentrations up to 50 μM. These findings expand the chemical diversity of fungal meroterpenoids and identify1as a structurally distinctive anti-osteoclastogenic metabolite warranting further mechanistic investigation.
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SENSORS AND ACTUATORS B-CHEMICAL
·
2025
·
IF 7.7
Haixia Mei,Jingyi Peng,Tao Wang,Bowei Zhang,Fuzhen Xuan
Although current unsupervised domain adaptation (UDA) methods enable knowledge transfer without labeled data, their performance in regression tasks is often hindered by noisy pseudo-labels in the target domain. This challenge is particularly pronounced in gas concentration prediction, which demands higher label accuracy than classification tasks, yet lacks systematic research. To address this issue, this study proposes a novel semi-supervised cross-domain regression framework named Online-Teacher Domain-Adaptive Regression Network (OT-DARN) for accurate multi-gas concentration estimation. OT-DARN integrates an online teacher-student architecture that incorporates domain adversarial learning, along with a pseudo-label selection mechanism, to enhance both transferability and generalization. Extensive experiments on 15 commercially available gas sensor datasets demonstrate that OT-DARN achieves state-of-the-art performance with a minimum mean absolute error (MAE) of 0.7769 parts per million (ppm) under n-propanol concentrations of 10–100 ppm at (50 ± 10) % relative humidity and a temperature of (25 ± 2) °C, with a maximum R² of 0.9986 while reducing the labeling cost by 70 %. Even under fully unlabeled settings, the model achieves an MAE of 6.1206 and R² of 0.9317. Furthermore, bidirectional transfer experiments reveal no statistically significant differences between migration directions, validating its robustness. OT-DARN also consistently outperforms four representative UDA methods across various source–target combinations. Ablation studies further confirm the individual and joint contributions of key modules. This work pioneers semi-supervised cross-domain regression for gas concentration prediction and offers a cost-efficient, high-precision solution applicable to real-world sensing scenarios.
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产品关联
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Advanced Healthcare Materials
·
2025
·
IF 9.6
Zhongyuan Wu,Yuwei Zhao,Aihua Li,Ting Wang,David C. Watts,Nicholas G. Fischer,Hang Wang,Jing Fu
Light-curing resin composites (RCs) are widely used for tooth defect restoration. However, challenges such as high polymerization shrinkage and lack of anti-cariogenic activities compromise interfacial integrity and significantly increase restoration failure risks. To address these limitations, we developed a bioactive multifunctional bulk-fill RC by integrating sol-gel-synthesized monodisperse nano-MgO (nMgO), Stöber-derived monodisperse submicron spherical silica (sSiO 2 ), and dendritic epoxy-cyclohexyl functionalized polyhedral oligomeric silsesquioxane (E-POSS). RCs achieved a larger depth of cure (DOC > 4 mm) and higher degree of conversion (>80%), enabling reliable clinical handling. nMgO/E-POSS may synergistically enhance the restoration-tooth interface through: (1) low shrinkage and reduced shrinkage stress via E-POSS-mediated cationic ring-opening polymerization and rigid structure, effectively minimizing interfacial gaps and microleakage after 10,000 thermal cycles; (2) potent antibacterial activity against Streptococcus mutans through nMgO-mediated mechanisms including direct contact inhibition, Mg 2 ⁺/ROS generation, and alkaline microenvironment creation; and (3) E-POSS-guided biomimetic remineralization of demineralized dentin through Ca-P deposition and the stabilizing effect of Mg 2 ⁺ on amorphous calcium phosphate. Our novel RCs also maintain clinically satisfactory mechanical properties, hydrolytic/thermal stability, and excellent biosafety. By synergizing self-defensive antibacterial-remineralization capabilities with low-shrinkage-enhanced interfacial adaptation, this multifunctional composite provides a promising strategy for restoring large dental defects while preventing secondary caries and extending restoration longevity.
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
·
2020
·Vol. 167
·期 14
·147520
·
IF 3.721
Xinyi Wang,Liubing Kong,Shuqi Zhou,Tao Liang,Hao Wan,Ping Wang
Photoluminescence (PL) sensors based on quantum dots (QDs) are difficult to achieve exact detection in sample waters. In this paper, polyvinyl alcohol (PVA) based CdTe/ZnS/CdS QDs and fluorescein isothiocyanate (FITC) fluorophores were used to build a ratiometric PL sensor. Combining with the homemade smartphone-based PL E-eye, the Cd2+ exact detection can be achieved. PVA was used to connect QDs and FITC fluorophores without unnecessary ligand exchange and purification. For QDs fluorophore, ethylenediaminetetraaceticacid (EDTA) was used on the surface to induce the specifically Cd2+ recognition site. For FITC fluorophore, the PL remains unchanged in this experiment. Thus, the ratio of two fluorophores can be used to provide a built-in correction. The PL changes with the increase of Cd2+ concentrations could be displayed as a visual color change on the smartphone. Further quantitative analysis could be carried out by the RGB value of the picture through the App in less than 1 min The ratio of R/G is linear to Cd2+ concentration in the range of 1–2000 μg l−1 with a low LOD of 0.057 μg l−1 (S/N). Compared with traditional analysis methods, the PL ratiometric method with PL E-eye is portable, rapid, visible and highly selective especially in discriminate Cd2+ from Zn2+.
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ACS Applied Materials & Interfaces
·
2020
·
IF 8.758
Qiaofen Chen,Zhao Chen,Dong Liu,Zhengfu He,Jianmin Wu
A flexible electronic-nose (E-nose) was constructed by assembling graphene oxide (GO) using different types of metal ions (Mx+) with different ratio of GO to Mx+. Owing to the cross-linked networks, the Mx+-induced assembly of graphene films resulted in different porous structures. A chemi-resistive sensor array was constructed by coating the GO–M hybrid films on PET substrate patterned with 8 interdigited electrodes, followed by in situ reduction of GO to rGO with hydrazine vapor. Each of the sensing elements on the sensor array showed a cross-reactive response toward different types of gases at room temperature. Compared to bare rGO, incorporation of metal species into rGO significantly improved sensitivity owing to the additional interaction between metal species and gas analyte. Principle component analysis (PCA) showed that four types of exhaled breath (EB) biomarkers including acetone, isoprene, ammonia, and hydrothion in sub-ppm concentrations can be discriminated well. To overcome the interference from humidity in EB, a protocol to collect and analyze EB gases was established and further validated by simulated EB samples. Finally, clinical EB samples collected from patients with lung cancer and healthy controls were analyzed. In a 106 case study, the healthy group can be accurately distinguished from lung cancer patients by linear discrimination analysis. With the assistance of an artificial neural network, a sensitivity of 95.8% and specificity of 96.0% can be achieved in the diagnosis of lung cancer based on the E-nose. We also find that patients with renal failure can be distinguished through comparison of dynamic response curves between patient and healthy samples on some specific sensing elements. These results demonstrate the proposed E-nose will have great potential in noninvasive disease screening and personalized healthcare management.
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BIOSENSORS & BIOELECTRONICS
·
2018
·
IF 8.173
Chen Zhou,Haimin Zou,Ming Li,Chengjun Sun,Dongxia Ren,Yongxin Li
A fiber optic surface plasmon resonance (FOSPR) sensor was developed for detection of Escherichia coli O157:H7 ( E. coli O157:H7) in water and juice, based on antimicrobial peptides (AMP), Magainin I, as recognition elements and silver nanoparticles-reduced graphene oxide (AgNPs-rGO) nanocomposites assisted signal amplification . The uniform AgNPs-rGO was fixed on the surface of optical fiber and covered with gold film. Not only was the SPR response greatly enhanced, but also the AgNPs was prevented from being oxidized. The FOSPR showed a sensitivity of about 1.5 times higher than that fabricated only with gold film. In the assay, Magainin I, immobilized on the surface of gold film, could specifically capture E. coli O157:H7, resulting in the wavelength shift of the SPR absorption peak. Under the optimized conditions, the SPR resonance wavelength exhibited a good linear relationship with natural logarithm of the target bacteria concentration in the range of 1.0 × 10 3 to 5.0 × 10 7 cfu/mL with the detection limit of 5.0 × 10 2 cfu/mL (S/N = 3). The FOSPR sensor showed good specificity for E. coli O157:H7 detection compared to other bacteria similar to the target bacterial species . Furthermore, the FOSPR sensor was successfully applied to the detection of E. coli O157:H7 in water, fruit and vegetable juice with the satisfactory recoveries of 88–110%. This assay for E. coli O157:H7 detection possesses high sensitivity, good selectivity , reproducibility and stability. In addition, the AMP based SPR biosensing methodology could be extended to detect a wide variety of foodborne pathogens. Therefore, the versatile method might become a potential alternative tool in food analysis and early clinical diagnosis.
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SENSORS AND ACTUATORS B-CHEMICAL
·
2024
·
IF 8
Zengyi Tang,Yamin Liu,Mianyi Xiang,Daxiang Cui,Qichao Li
The detection of volatile organic compounds (VOCs) has numerous applications in environmental monitoring and biomedicine. Metal oxide semiconductor (MOS) gas sensors are widely used in gas detection due to their simple structure, low fabrication cost, and fast response speed. However, MOS gas sensors have broad-spectrum responsiveness to VOCs, making selectivity a challenge. The most commonly used method to obtain selectivity is the E-nose system consisting of multiple sensors. However, the size of E-noses has increased due to the number of sensors with high power consumption and complicated signal processing. In recent years, deep learning has flourished, allowing for accurate discrimination of VOCs and concentration prediction using E-nose consisting of a single sensor. This method significantly reduces power consumption and facilitates portable applications. In this work, we synthesize SnO 2 -ZnO composite oxide and fabricate a E-nose consisting of a single MEMS gas sensor. The response performance of the E-nose to VOCs is stable with a high output signal-noise ratio (SNR). We design a lightweight deep learning model based on SqueezeNet and train it using transfer learning. Linear regression is used to predict the concentration of VOCs. Our work achieves accurate identification and low-error concentration prediction of VOCs, which is valuable for subsequent portable VOC detection systems.
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