Institution
Donghua University
Education•Shanghai, China•
About: Donghua University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Fiber & Nanofiber. The organization has 21155 authors who have published 21841 publications receiving 393091 citations. The organization is also known as: Dōnghuá Dàxué & China Textile University.
Topics: Fiber, Nanofiber, Membrane, Electrospinning, Catalysis
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors considered the attraction-repulsion chemotaxis system under homogeneous Neumann boundary conditions in a bounded domain with smooth boundary and proved that the system with τ = 0 is globally well-posed in high dimensions if repulsion prevails over attraction.
Abstract: We consider the attraction–repulsion chemotaxis system under homogeneous Neumann boundary conditions in a bounded domain Ω ⊂ ℝn with smooth boundary, where χ ≥ 0, ξ ≥ 0, α > 0, β > 0, γ > 0, δ > 0 and τ = 0, 1. We study the global solvability, boundedness, blow-up, existence of non-trivial stationary solutions and asymptotic behavior of the system for various ranges of parameter values. Particularly, we prove that the system with τ = 0 is globally well-posed in high dimensions if repulsion prevails over attraction in the sense that ξγ - χα > 0, and that the system with τ = 1 is globally well-posed in two dimensions if repulsion dominates over attraction in the sense that ξγ - χα > 0 and β = δ. Hence our results confirm that the attraction–repulsion is a plausible mechanism to regularize the classical Keller–Segel model whose solution may blow up in higher dimensions.
243 citations
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TL;DR: In this article, a reduced graphene oxide-zinc oxide (RGO-ZnO) composite was facilely fabricated by a spontaneous reduction of graphene oxide via zinc slice in one-pot approach at room temperature, and used to modify glassy carbon electrode (GCE) for developing of electrochemical biosensor.
Abstract: Reduced graphene oxide-zinc oxide (RGO–ZnO) composite was facilely fabricated by a spontaneous reduction of graphene oxide via zinc slice in one-pot approach at room temperature, and used to modify glassy carbon electrode (GCE) for developing of electrochemical biosensor (RGO–ZnO/GCE). The as-prepared RGO–ZnO was characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), inductively coupled plasma atomic emission spectroscopy (ICP-AES), scanning electron microscopy (SEM) and transmission electron microscope (TEM). It was revealed that the existence of ZnO in RGO–ZnO/GCE largely enhanced the electroactive surface area (EASA) and therefore the sensitivity for electrochemical sensing. In the mixtures of ascorbic acid (AA), dopamine (DA) and uric acid (UA), the biosensor exhibited three well-resolved voltammetric peaks (Δ E AA–DA = 236 mV, Δ E DA–UA = 132 mV, Δ E AA–UA = 368 mV) in the differential pulse voltammetry (DPV) measurements, allowing a simultaneous electrochemical detection of these biomolecules. The liner relationships between current intensities and concentrations were found to be 50–2350 μM, 1–70 μM and 3–330 μM, with detection limits of 3.71 μM, 0.33 μM and 1.08 μM for AA, UA and DA, respectively. The as-prepared RGO–ZnO/GCE biosensor displayed a good reproducibility and stability and was applied for detection of of AA, DA and UA in real plasma and urine samples with satisfying results.
243 citations
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TL;DR: In this article, the Fourier transform infrared spectroscopy (FT-IR), differential scanning calorimetry (DSC) and mechanical measurements of a single ultrafine fiber were used to investigate the intermolecular interactions enthalpy between collagen and chitosan.
242 citations
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TL;DR: The purpose of the addressed filtering problem is to design a filter such that, for the admissible random measurement missing, stochastic disturbances, norm-bounded uncertainties as well as Stochastic nonlinearities, the error dynamics of the filtering process is exponentially mean-square stable.
242 citations
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TL;DR: As-prepared membranes exhibited fast and efficient separation for oil-water mixtures and excellent stability over a wide range of pH conditions, which would make them a good candidate in industrial oil-polluted water treatments and oil spill cleanup, and provided a new insight into the design and development of functional nanofibrous membranes through F-PBZ modification.
Abstract: Superhydrophobic and superoleophilic nanofibrous membranes exhibiting robust oil–water separation performance were prepared by a facile combination of electrospun cellulose acetate (CA) nanofibers and a novel in situ polymerized fluorinated polybenzoxazine (F-PBZ) functional layer that incorporated silica nanoparticles (SiO2 NPs). By employing the F-PBZ/SiO2 NPs modification, the pristine hydrophilic CA nanofibrous membranes were endowed with a superhydrophobicity with the water contact angle of 161° and a superoleophilicity with the oil contact angle of 3°. Surface morphological studies have indicated that the wettability of resultant membranes could be manipulated by tuning the surface composition as well as the hierarchical structures. The quantitative hierarchical roughness analysis using the N2 adsorption method has confirmed the major contribution of SiO2 NPs on enhancing the porous structure, and a detailed correlation between roughness and solid–liquid interface pinning is proposed. Furthermore, the as-prepared membranes exhibited fast and efficient separation for oil–water mixtures and excellent stability over a wide range of pH conditions, which would make them a good candidate in industrial oil-polluted water treatments and oil spill cleanup, and also provided a new insight into the design and development of functional nanofibrous membranes through F-PBZ modification.
242 citations
Authors
Showing all 21321 results
Name | H-index | Papers | Citations |
---|---|---|---|
Dongyuan Zhao | 160 | 872 | 106451 |
Xiang Zhang | 154 | 1733 | 117576 |
Seeram Ramakrishna | 147 | 1552 | 99284 |
Kuo-Chen Chou | 143 | 487 | 57711 |
Shuai Liu | 129 | 1095 | 80823 |
Chao Zhang | 127 | 3119 | 84711 |
Tao Zhang | 123 | 2772 | 83866 |
Zidong Wang | 122 | 914 | 50717 |
Xinchen Wang | 120 | 349 | 65072 |
Zhenyu Zhang | 118 | 1167 | 64887 |
Benjamin S. Hsiao | 108 | 602 | 41071 |
Qian Wang | 108 | 2148 | 65557 |
Jian Zhang | 107 | 3064 | 69715 |
Yan Zhang | 107 | 2410 | 57758 |
Richard B. Kaner | 106 | 557 | 66862 |