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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高影响因子
Journal of Biomedical Nanotechnology
·
2009
·Vol. 5
·期 5
·505-510
·
IF 0.989
Li Zhiyang,He Lei,Shi Zhiyang,Wang Hua,Li Song,Liu Hongna,Wang Zhifei,He Nongyue
This paper described that Fe3O4 nanoparticles were encapsulated with methyl methacrylate (MMA) using linolenic acid (LA) as a crosslinking agent, after which the resulting polymethyl methacrylate (PMMA) embed Fe3O4 nanoparticles (PMMA/Fe3O4) were coated with silica, forming SiO2/(PMMA/Fe3O4) core–shell structure particles. Then these magnetic nanoparticles (MNPs) were applied in the developed system of chemiluminescent magnetic enzyme-linked immunoassay. E. coli O157:H7 was sandwiched between rabbits anti-E. coli O157:H7 polyclonal antibody-coated magnetite nanoparticles (immunomagnetic nanoparticles or IMNPs) and mouse anti-E. coli O157:H7 monoclonal antibody (E. coli O157-McAb). Commercial alkaline phosphatase conjugated horse anti-mouse immunoglobulin (ALP-Ab) was used to bond with the monoclonal antibody, finally the chemiluminescent signals were detected by adding 3-(2′-spiroadamantane)-4-methoxy-4-(3″-phosphoryloxy)phenyl-1,2-dioxetane (AMPPD) which was the substrate reagent of ALP. The specificity and sensitivity of this system for detecting E. coli O157:H7 were researched. The results indicated that this method was of good specificity when using E. coli Top 10F′ and Vibrio cholera as negative controls. The detection limit was 103 cells mL−1 when the antigen solution was 1 mL, and the procedure duration was about 3 h.
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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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高影响因子
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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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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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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高影响因子
CHEMISTRY OF MATERIALS
·
2016
·
IF 9.407
Xiaofeng Fang,Yu-Mo Zhang,Kaiwen Chang,Zhihe Liu,Xing Su,Haobin Chen,Sean Xiao-An Zhang,Yifei Liu,Changfeng Wu
Control of stereochemistry plays a key role in medicinal chemistry, material and life science. As a prominent AIE luminogen, tetraphenylethene (TPE) derivatives have E/Z isomers which are challenging to separate even by HPLC. Herein, we designed oxetane-substituted TPE (TPE-2OXE) and separated pure isomers by simple column chromatography with high yields, as confirmed by mass spectrometry, IR and NMR spectroscopy. The isomerization of the two isomers can occur by photo- and thermo-activation. Importantly, (Z)-TPE-2OXE isomer solid shows bathochromic emission with a quantum yield 5 times higher than that of (E)-TPE-2OXE. The differences in emission wavelength and quantum yield are derived from distinct emission mechanisms of locally excited (LE) state emission of (E)-TPE-2OXE and charge transfer (CT) state emission of (Z)-TPE-2OXE. The two isomers are also good piezochromic luminescent materials, which have not only an obvious emission color shift but also significantly enhanced luminescence brightness by external force. In addition, (E)-TPE-2OXE solids show self-healing ability, which can crystallize spontaneously from ground amorphous state. The higher brightness of (E)-TPE-2OXE can be retained in solution, so fluorescent AIE nanodots are prepared from the two isomers. Cell-labeling experiments also show that (Z)-TPE-2OXE AIE dots have higher labeling brightness as compared to the (E)-TPE-2OXE isomer. The synthesis and distinct properties of E/Z isomers are beneficial to further development of new TPE derivatives for various applications.
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Nanomaterials
·
2024
·Vol. 14
·期 23
·1958
·
IF 4.4
Yan Mo,Xiaoping Zhang,Ke Zou,Wen Xing,Xiayang Hou,Yu Zeng,Yugang Cai,Ruixiang Xu,Hongwen Zhang,Weiping Cai
Etomidate (ET), a medical anesthetic, is increasingly being incorporated into e-liquids for consumption and abuse as a new psychoactive substance (NPS), leading to significant social issues. In this work, large-area Au micro- and nano-structured ordered arrays were engineered as surface-enhanced Raman spectroscopy (SERS) substrates for fast detection and precise identification of ET and its metabolites. This ordered array, characterized by abundant electromagnetic enhancement hotspots and structural uniformity, imparts unique properties to the SERS substrate, including ultra-sensitivity, spectral signal reproducibility, and precise quantitative capabilities. Furthermore, it effectively mitigates interference from the complex matrix of e-liquids, facilitating the rapid detection of trace amounts of ET molecules. This SERS rapid detection technology can act as a preliminary screening method for gold-standard spectroscopic analysis, facilitating the on-site rapid screening of suspicious samples and thereby enabling efficient detection and precise verification.
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高影响因子
PLoS One
·
2025
·Vol. 20
·期 5
·e0324164
·
IF 2.6
Bingbing Cao,Jiali Zhou,Bo Xia,Xiaoqing Li,Rui Wang,Yiqiao Xu,Chunqi Li
Choline has been proven to be effective in maintaining liver function. However, the effect of choline, in combination with other nutrients, on the improvement of non-alcoholic fatty liver disease (NAFLD) remains unclear. This study aimed to investigate the potential effect of the nutraceutical complex containing choline bitartrate, zinc citrate, and dl-α-Tocopheryl acetate on NAFLD in the zebrafish model. The NAFLD model was induced in zebrafish by administering thioacetamide. Experimental groups were established, including a normal control group, the model control group, the positive control group, the nutraceutical complex intervention group, and the choline bitartrate alone intervention group. The intervention was administered to the zebrafish in a water-soluble form, while the positive control group received polyene phosphatidylcholine at a concentration of 50.0 μg/mL. Notably, the protective effect of the nutraceutical complex against NAFLD is more pronounced than that observed with choline bitartrate supplementation alone. The results of transcriptomics and quantitative real-time PCR showed that the potential mechanisms underlying the effects of the nutraceutical complex might involve the upregulation of acacia, acsl1a , fbp2 gene expression, and the downregulation of tbc1d1 gene expression. These results were further validated by western blotting and overexpression experiments. Our findings indicated that choline bitartrate, zinc citrate, and dl-α-Tocopheryl acetate can help improve NAFLD. The results of this study provide evidence for the application of the nutraceutical complex in the improvement of NAFLD.
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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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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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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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