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Institution

Donghua University

EducationShanghai, 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
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Journal ArticleDOI
TL;DR: In this article, L-cysteine was applied to the dissolution of wool keratin for the first time as a reducing agent, and the dissolution time was 5 h at 75 °C with 72% dissolubility.

130 citations

Journal ArticleDOI
TL;DR: The combined in vitro cell viability assay, cell morphology observation, flow cytometry, and hemolysis assay data show that the formed Fe3O4@Au CNPs are noncytotoxic and hemocompatible in the given concentration range.
Abstract: A facile one-pot hydrothermal approach to synthesizing Fe3O4@Au composite nanoparticles (CNPs) for dual-mode magnetic resonance (MR) and computed tomography (CT) imaging applications is reported. In this work, polyethyleneimine (PEI) partially modified with poly(ethylene glycol) monomethyl ether (mPEG) was used as a stabilizer to form gold NPs (mPEG-PEI.NH2-Au NPs) with the assistance of sodium borohydride reduction. The mPEG-PEI.NH2-Au NPs were then mixed with iron(II) salt in a basic aqueous solution followed by treatment under an elevated temperature and pressure. This hydrothermal process led to the formation of Fe3O4@Au-mPEG-PEI.NH2 CNPs. The remaining PEI amine groups were finally acetylated to reduce the surface positive charge of the CNPs. The formed Fe3O4@Au-mPEG-PEI.NHAc (Fe3O4@Au) CNPs were characterized via different techniques. The combined in vitro cell viability assay, cell morphology observation, flow cytometry, and hemolysis assay data show that the formed Fe3O4@Au CNPs are noncytotoxic a...

129 citations

Journal ArticleDOI
TL;DR: It was found that the porous structure of scaffolds can be tailored by varying the ratios of gelatin to HA, both the swelling ratios and degradation rate increased with the increase of HA content in hybrid scaffolds, and crosslinking the scaffolds with EDC improved the degradation resistance of the scaffold in culture media and increased the mechanical strength of scaffold.

129 citations

Journal ArticleDOI
TL;DR: In this article, the authors highlight the recent progress of Janus nano-architectures for the growing field of catalytic applications and provide an outlook of the future applications and possible further study of the Janus nanomaterials.

129 citations

Journal ArticleDOI
TL;DR: This research provided a good method to fabricate macrofibers from BC nanofibers with good properties by continuous wet-spinning process, which can be easily functionalized and have promising potential applications in smart textiles, biosensor, and structural reinforcement.
Abstract: Bacterial cellulose (BC) nanofibers represent an emerging class of highly crystalline bionanofibers with high intrinsic mechanical properties. The remarkable nanofibers with oriented structure and strong interfibrillar interactions can realize high-performance materials. In this study, we demonstrated that macrofibers based on aligned BC nanofibers could be prepared by wet spinning and drawing procedures. The relationship between process conditions, structure, and mechanical properties of macrofibers were investigated. The obtained macrofibers exhibited Young’s modulus of 16.4 GPa and tensile strength of 248.6 MPa under the optimum process conditions, in which nanofibers displayed a high degree of alignment. Furthermore, we enhanced the interfacial interactions between nanofibers and obtained better mechanical performance by multivalent ion cross-linking. After exchanging the monovalent Na+ by Fe3+, the dried macrofiber reached Young’s modulus of 22.9 GPa and tensile strength of 357.5 MPa. Particularly, t...

129 citations


Authors

Showing all 21321 results

NameH-indexPapersCitations
Dongyuan Zhao160872106451
Xiang Zhang1541733117576
Seeram Ramakrishna147155299284
Kuo-Chen Chou14348757711
Shuai Liu129109580823
Chao Zhang127311984711
Tao Zhang123277283866
Zidong Wang12291450717
Xinchen Wang12034965072
Zhenyu Zhang118116764887
Benjamin S. Hsiao10860241071
Qian Wang108214865557
Jian Zhang107306469715
Yan Zhang107241057758
Richard B. Kaner10655766862
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202371
2022422
20212,466
20202,190
20192,003
20181,605