37 research outputs found

    The habitat figures of Odontochilus napoensis sp. nov.

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    The habitat figures of Odontochilus napoensis sp. nov

    The longitude and latitude figure of Odontochilus napoensis sp. nov.

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    Odontochilus napoensis, the new species from southwestern Guangxi, China, was found in 23°06´28.37 N, 105°43´25.84E, alt. 1450 m a.s.l. 16 June 2013

    DataSheet_1_Early changes of bone metabolites and lymphocyte subsets may participate in osteoporosis onset: a preliminary study of a postmenopausal osteoporosis mouse model.pdf

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    PurposeMetabolic and immune changes in the early stages of osteoporosis are not well understood. This study aimed to explore the changes in bone metabolites and bone marrow lymphocyte subsets and their relationship during the osteoporosis onset.MethodsWe established OVX and Sham mouse models. After 5, 15, and 40 days, five mice in each group were sacrificed. Humeri were analyzed by microCT. The bone marrow cells of the left femur and tibia were collected for flow cytometry analysis. The right femur and tibia were analyzed by LC-MS/MS for metabolomics analysis.ResultsBone microarchitecture was significantly deteriorated 15 days after OVX surgery. Analysis of bone metabolomics showed that obvious metabolite changes had happened since 5 days after surgery. Lipid metabolism was significant at the early stage of the osteoporosis. The proportion of immature B cells was increased, whereas the proportion of mature B cells was decreased in the OVX group. Metabolites were significantly correlated with the proportion of lymphocyte subsets at the early stage of the osteoporosis.ConclusionLipid metabolism was significant at the early stage of the osteoporosis. Bone metabolites may influence bone formation by interfering with bone marrow lymphocyte subsets.</p

    Understanding the Roles of Solution Chemistries and Functionalization on the Aggregation of Graphene-Based Nanomaterials Using Molecular Dynamic Simulations

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    Microscopic aggregation processes of graphene-related nanomaterials (GNs) (including graphene, graphene oxide, carbon nanotubes, carboxylic carbon nanotubes, fullerene, and fullerol) were explored by molecular dynamic (MD) simulations. The aggregation exhibited a strong dependence on solution chemistries and the presence of oxygen-containing functional groups, and the mechanisms were uncovered. The aggregate configurations observed in MD simulations were consistent with the results obtained using density functional theory calculations. Upon the aggregation, the configurations of the GNs were changed, and the electrical properties were affected. The statistics of the Brownian trajectories of the GNs were investigated and were found to vary in the presence of oxygen-containing functional groups and the pH conditions. In addition, the aggregation behavior of GNs was found to be size- and density-dependent, with the density affecting the aggregation efficiency and the size of the nanostructure. Overall, our studies provide a platform for investigating the aggregation of GNs in water, which can also be employed to investigate the behavior of other nanomaterials

    Molecular Dynamics Study of the Aggregation Process of Graphene Oxide in Water

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    Molecular dynamics (MD) simulations were performed to provide molecular insight into the aggregation process of graphene oxide (GO) in water. The aggregation was found to be a point–​line–​plane process. Five forces were involved during the process: van der Waals attraction, electrostatic interaction, hydrogen-bond interaction, π–π stacking, and the collision of water molecules. The dominant forces were different in the three stages. The connection “line” was important to the aggregation process and the final overlapping area of the GO aggregate. To study the effect of oxygen content and functional group on the aggregation of GO, four different GOs were used: C<sub>10</sub>O<sub>1</sub>(OH)<sub>1</sub>(COOH)<sub>0.5</sub>, C<sub>30</sub>O<sub>1</sub>(OH)<sub>1</sub>(COOH)<sub>0.5</sub>, C<sub>10</sub>O<sub>1</sub>(COOH)<sub>0.5</sub>, and C<sub>10</sub>O<sub>1</sub>(OH)<sub>1</sub> (termed OGO, RGO, GO-COOH, and GO-OH, respectively). RGO aggregated faster than OGO, and GO-OH aggregated faster than GO-COOH. A quantitative analysis showed the difference in aggregation rate of these four GOs should be attributed to the hydrogen bonds. Additionally, the closer GOs were to each other initially, the faster they aggregated. This study reveals the aggregation process of GO and will be helpful in understanding its behavior in water

    Wrinkle- and Edge-Adsorption of Aromatic Compounds on Graphene Oxide as Revealed by Atomic Force Microscopy, Molecular Dynamics Simulation, and Density Functional Theory

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    In this work, the favorable adsorption sites of aromatic compounds (ACs) on graphene oxide (GO) are characterized with both experimental and theoretical approaches. The results show that ACs exhibit a strong preference in adsorbing near the wrinkles and edges. Further analyses reveal that the edge-adsorption is mainly guided by the stronger π–π interaction near edges, accompanied by a stronger hydrogen bond interaction between carboxyl groups and ACs. Additionally, the water-mediated steric hindrance and flexibility of carboxyl groups also contribute to the edge-adsorption. A higher density of atoms and electrons is the main mechanism for the wrinkle-adsorption, and structural investigations indicate that the roughness serving as a steric hindrance for the ACs migration also contributes to the wrinkle-adsorption. This wrinkle- and edge-adsorption pattern will shed light on the design of GO-related environmental materials

    Wrinkle- and Edge-Adsorption of Aromatic Compounds on Graphene Oxide as Revealed by Atomic Force Microscopy, Molecular Dynamics Simulation, and Density Functional Theory

    No full text
    In this work, the favorable adsorption sites of aromatic compounds (ACs) on graphene oxide (GO) are characterized with both experimental and theoretical approaches. The results show that ACs exhibit a strong preference in adsorbing near the wrinkles and edges. Further analyses reveal that the edge-adsorption is mainly guided by the stronger π–π interaction near edges, accompanied by a stronger hydrogen bond interaction between carboxyl groups and ACs. Additionally, the water-mediated steric hindrance and flexibility of carboxyl groups also contribute to the edge-adsorption. A higher density of atoms and electrons is the main mechanism for the wrinkle-adsorption, and structural investigations indicate that the roughness serving as a steric hindrance for the ACs migration also contributes to the wrinkle-adsorption. This wrinkle- and edge-adsorption pattern will shed light on the design of GO-related environmental materials

    Wrinkle- and Edge-Adsorption of Aromatic Compounds on Graphene Oxide as Revealed by Atomic Force Microscopy, Molecular Dynamics Simulation, and Density Functional Theory

    No full text
    In this work, the favorable adsorption sites of aromatic compounds (ACs) on graphene oxide (GO) are characterized with both experimental and theoretical approaches. The results show that ACs exhibit a strong preference in adsorbing near the wrinkles and edges. Further analyses reveal that the edge-adsorption is mainly guided by the stronger π–π interaction near edges, accompanied by a stronger hydrogen bond interaction between carboxyl groups and ACs. Additionally, the water-mediated steric hindrance and flexibility of carboxyl groups also contribute to the edge-adsorption. A higher density of atoms and electrons is the main mechanism for the wrinkle-adsorption, and structural investigations indicate that the roughness serving as a steric hindrance for the ACs migration also contributes to the wrinkle-adsorption. This wrinkle- and edge-adsorption pattern will shed light on the design of GO-related environmental materials
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