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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, Electrospinning, Membrane, Graphene


Papers
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Journal ArticleDOI
Pin Gao1, Liu Zhenhong1, Gang Xue1, Bin Han1, Meihua Zhou1 
TL;DR: It was found that pretreatment combining impregnation with (NH(4))(2)HPO(4) and preoxidation could significantly affect the physicochemical properties of prepared activated carbons.

101 citations

Journal ArticleDOI
Tao Ren1, Yang Si1, Jianmao Yang1, Bin Ding1, Xuexia Yang1, Feng Hong1, Jianyong Yu1 
TL;DR: In this paper, a series of Fe3O4@CNFs with a tunable porous structure including the surface area, pore volume and micro/mesopore ratio were obtained, and the relative fraction of closed and open pores in CNFs was confirmed.
Abstract: Hierarchical porous, magnetic Fe3O4@carbon nanofibers (Fe3O4@CNFs) comprising graphitic nanofibers and embedded Fe3O4 nanocrystals were prepared by using electrospun polyacrylonitrile/polybenzoxazine (PBZ) nanofibers as composite carbon precursor. By the combination of precursor design and activation process, a series of Fe3O4@CNFs with a tunable porous structure including the surface area, pore volume and micro/mesopore ratio were obtained, and could achieve an extremely high surface area of 1623 m2 g−1 and a pore volume of 1.635 cm3 g−1. Quantitative pore size distribution and fractal analysis were employed to investigate the hierarchical porous structure using N2 adsorption methods and synchrotron radiation small-angle X-ray scattering measurements. The role of the precursor structure and activation treatment for the tuning of the porous structure and surface fractal dimension is discussed, and the relative fraction of closed and open pores in CNFs is confirmed. Furthermore, the as-prepared Fe3O4@CNFs exhibit efficient adsorption for organic dyes in water and excellent magnetic separation performance, which would make them a promising adsorbent for water treatment, and a new insight was also provided into the design and development of functional carbon nanomaterials based on PBZ precursor.

101 citations

Journal ArticleDOI
TL;DR: The satisfying therapeutic effect of tumors can be achieved, undoubtedly verifying that Bi-SR-PEG can be used as a novel, stable and all-in-one type theranostic nanoagent for cancer treatment.

101 citations

Journal ArticleDOI
TL;DR: A type of 3D ceramic fibrous scaffold is presented, which can closely match bone defects with irregular shapes or at different implant sites, and is promising for clinical translation.

101 citations

Journal ArticleDOI
TL;DR: A perspective into the issues to be addressed for better and competitive fibre electrodes for wearable electrochemical energy storage applications and how these issues can be addressed are addressed.
Abstract: This perspective seeks to provide some critical insights on the challenges facing the development and adoption of fibre (yarn)-based energy storage electrodes in possible future applications of smart textiles. Attention has been given to five major points, viz. the property requirements, the associated characterization techniques, the metrics of quantifying performance, the associated materials and the goals of innovation. Beyond these points, concise conclusions consisting of recommendations have been drawn in each section. The work is intended to guide and stimulate researchers towards an effective and efficient roadmap to obtain the right and best product on the new prospective and exciting market.

101 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
2022421
20212,465
20202,190
20192,003
20181,605