Constructing three-dimensional (3D) conductive frameworks with high specific surface areas and porous structures is indispensable for their applications as electrocatalysts. In this work, we illustrate for the first t...
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Constructing three-dimensional (3D) conductive frameworks with high specific surface areas and porous structures is indispensable for their applications as electrocatalysts. In this work, we illustrate for the first time that 3D N-doped porous carbon nanosheets (3D-NS), which are synthesized via a facile one-pot pyrolysis reaction using glucose and melamine as raw materials, can serve as high performance and green electrocatalysts for the reduction of H2O2. Moreover, a series of 3D-NS samples with a controllable content of nitrogen were obtained by adjusting the calcination temperature. From our research, the 3D-NS obtained at 900 degrees C possessed high specific surface areas, porous structures, proper dosages of N atoms, suitable degrees of graphitization and defects. Furthermore, we also illustrate their application in H2O2 electrochemical sensing in physiological environments. Under optimum conditions, the 3D-NS-based sensor displays a wide linear scope in the range of 0.5-14 000 mu M and a low detection limit of 0.18 mu M (S/N = 3). Therefore, with desirable selectivity, stability and anti-interference performance, the proposed sensor can be feasibly applied to detect H2O2 in human serum samples.
Deciphering potential associations between the traffic data of disparate regions is of great importance to urban traffic management. However, as the traffic data is structured, temporal and often high-dimensional, man...
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ISBN:
(纸本)9781450366298
Deciphering potential associations between the traffic data of disparate regions is of great importance to urban traffic management. However, as the traffic data is structured, temporal and often high-dimensional, many traditional dependence testing approaches are not directly applicable. In this paper, we propose a new approach to test dependence between traffic data of disparate regions based on distance Correlation (dCorr) and Multiscale Generalized Correlation (MGC). The distance matrix between the structured traffic data of disparate regions is defined, which yields a consistent test statistic for testing dependence of traffic data. We conduct experiments on the real and simulated datasets. The results of our experiments demonstrate that the new approach can capture the complex dependence between the structured traffic data of disparate regions. Simultaneously, it requires a small number of samples and is computationally efficient.
In a heavy-fermion system, the competition between the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction and the Kondo effect determines the ground-state properties, including superconductivity, magnetic orderings, and...
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In a heavy-fermion system, the competition between the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction and the Kondo effect determines the ground-state properties, including superconductivity, magnetic orderings, and non-Fermi-liquid states. However, the temperature-dependent development of this competition remains unclear, particularly within the framework of ferromagnetic ground states. Here, the electronic structure and heavy quasiparticle band properties are exhaustively studied in CeNiSb2, a prototypical ferromagnetic Kondo lattice, using high-resolution angle-resolved photoemission spectroscopy. Our measurements reveal the three-dimensional electronic structure and Fermi surface topologies in CeNiSb2. The discrepancy of the quasiparticle bands along the Γ-M direction indicates band-dependent hybridization between the f electrons and conduction electrons (c−f hybridization), which may arise from differences in the conduction-band properties. The intensity of the quasiparticle band increases monotonically with decreasing temperature and deviates from the Kondo-like behavior at low temperature. This evolution provides a comprehensive picture of how the RKKY interaction and the Kondo effect develop and influence the behavior of f electrons across the temperature range. Our experimental results offer a spectroscopic study of the quasiparticle band and its temperature-dependent evolution in CeNiSb2, which may be crucial for understanding the underlying physics in heavy fermion compounds.
Direct coal liquefaction in the heating stage of Shenhua Shendong bituminous coal was carried out in a 0.01 t/d continuous tubular facility with iron catalyst and hydrogenated anthracene and wash oil as solvent at a r...
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Direct coal liquefaction in the heating stage of Shenhua Shendong bituminous coal was carried out in a 0.01 t/d continuous tubular facility with iron catalyst and hydrogenated anthracene and wash oil as solvent at a residence time (t) of 3.56.5 min and a reaction temperature (T) of 340-450 degrees C. The results show that when t = 3.5 min and T = 340 degrees C, a cracking reaction of coal occurs, while the oil yield was almost zero. As the residence time and temperature each increase, coal conversion and product yield exhibit different change patterns. Especially when t = 6.5 min and T = 450 degrees C: under these conditions, the coal conversion and oil yield reached 83.67 and 52.27 wt?%, respectively. To investigate the liquefaction kinetics, a 8-lump reaction kinetic model which follow first-order irreversible reactions (r = k(i) dC/dt) was developed to estimate the rate constants. The results indicated that the model is perfectly valid for the heating stage, and the yield of oil and gas were mainly from coal other than preasphaltene (PAA).
Thallium (Tl) is a trace metal of severe toxicity. Its health concerns via consumption of contaminated vegetables have often been overlooked or underestimated. This study was designed to gain insight into the actual l...
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Thallium (Tl) is a trace metal of severe toxicity. Its health concerns via consumption of contaminated vegetables have often been overlooked or underestimated. This study was designed to gain insight into the actual level and distribution characteristics of Tl and metal (loid)s (Pb, Cd, Cr, Sb, Mn, Cu, Zn, Ni, and Co) in agricultural soils and common vegetables cultivated in different zones (upstream, midstream, and downstream) of a densely populated residential area in a typical mine city, which has been open-pit exploiting Tl-bearing pyrite minerals since 1960s. The results show that most of the agricultural soils exhibit contaminated levels of Tl, with Tl contents (upstream: 1.35-4.31 mg/kg, midstream: 2.43 -5.19 mg/kg, and downstream: 0.65-233 mg/kg) mostly exceeding the maximum permissible level (MPL) for agricultural land use (1 mg/kg). Sequential extraction procedure indicates that even Tl is predominantly retained in the residual fraction, significant levels of Tl are still present in the geochemically mobile fractions. Besides, metals like Cu, Cd, Mn, and Co are mostly distributed in the labile fractions. Almost all metal (loid)s in edible parts of the vegetables exceed their corresponding MPL for consumption. The chronic daily intake (CDI) and hazard quotient (HQ) values calculated for inhabitants at different ages indicate non-negligible Tl risks via consumption of local vegetables, especially for children. Therefore, it is critical to establish effective measures for hazardous waste management and enforceable regulations in Tl-polluted area to mitigate potential severe impacts of Tl on human health through food chain. (C) 2019 Elsevier Ltd. All rights reserved.
A simple, effective and convenient enrichment method coupled with high performance liquid chromatography (HPLC) was established for the analysis of rare ginsenosides in Kang'ai (KA) injection. Air assisted liquid-...
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A simple, effective and convenient enrichment method coupled with high performance liquid chromatography (HPLC) was established for the analysis of rare ginsenosides in Kang'ai (KA) injection. Air assisted liquid-liquid microextraction was used in this work for the first time to determine the rare ginsenosides in KA injection. Deep eutectic solvent (DES) and tetrahydrofuran (THF) were specially selected as a novel green extraction solvent and an emulsified solvent, respectively. To remove the DES droplets, Fe3O4 nanoparticles were used. Therefore, centrifugation was free in this work, which can increase the efficiency of analysis procedure. Moreover, Fe3O4 nanoparticles were reusable. To achieve better extraction efficiency and enrichment factor, the experimental conditions have been optimized, including type and volume of DES and emulsified solvent, amount of Fe3O4 nanoparticles and inorganic salt, and pH value. Under the optimum extraction condition, the validation parameters show the limits of detection (LODs) are in the range from 10.2 ng/mL to 137.8 ng/mL and the limits of quantity (LOQs) are in the range from 55.5 ng/mL to 428.5 ng/mL. The recoveries of analytes range from 91.3% to 106.7% with the relative standard deviations (RSDs) ranging from 1.2% to 4.5%. The recommended approach was utilized to acquire the information of constituents in KA injection. Moreover, the results in this research could provide a study basis for further study of KA injection.
The neutron capture reaction cross sections of U-238 were measured at the neutron energies of 14.1, 14.5 and 14.8 MeV using the activation method and off-line gamma-ray spectrometric technique. The induced gamma-ray a...
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The neutron capture reaction cross sections of U-238 were measured at the neutron energies of 14.1, 14.5 and 14.8 MeV using the activation method and off-line gamma-ray spectrometric technique. The induced gamma-ray activities were measured using a low background gamma ray spectrometer equipped with a high resolution HPGe detector. The excitation functions of the U-238(n, gamma)U-239 reaction were also calculated theoretically using the TALYS-1.8 program and are in general agreement with experimental data. The experimentally determined cross sections were compared with the data in the literature, and the evaluated data of ENDF/B-VIII.0, JENDL-4.0, and CENDL-3.1, as well as calculated results from TALYS-1.8.
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