Engineering cross-linking by coal-based graphene quantum dots toward tough, flexible, and hydrophobic electrospun carbon nanofiber fabrics
Engineering cross-linking by coal-based graphene quantum dots toward tough, flexible, and hydrophobic electrospun carbon nanofiber fabrics
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通过煤基石墨烯量子点进行工程交联,制备坚韧、柔性和疏水性的电纺碳纳米纤维织物
DOI:
10.1016/j.carbon.2017.11.071
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发表时间:
2018-04
期刊:
影响因子:
10.9
通讯作者:
Jia Lixia
中科院分区:
文献类型:
--
作者:
Zhu Jiayao;Zhang Su;Wang Luxiang;Jia Dianzeng;Xu Mengjiao;Zhao Zongbin;Qiu Jieshan;Jia Lixia
Polyacrylonitrile-derived electrospun carbon nanofiber fabrics (ECNFs) are believed to have great potentials in many aspects. However, the un-optimized/limited strength and flexibility considerably hinder their practical applications. We find that the tensile strength, Young's modulus, and flexibility of the ECNFs can be significantly improved by the simple addition of coal-based graphene quantum dots (CGQDs) to a spinning solution. The Young's modulus of the CGQD-added ECNF is enhanced by more than 7 times than that of pure polyacrylonitrile-derived one. However, the improvement is barely observed when oxygen-bearing functional groups on the CGQDs are removed by chemical reduction. Characterized by scanning electron microscopy; X-ray diffraction; and Raman, Fourier-transform infrared, and X-ray photoelectron spectroscopies, we propose that the CGQDs act as cross-linking agents because of their abundant oxygen-bearing functional groups and good chemical reactivity, resulting in the formation of dense, strong, and flexible carbon skeleton. Moreover, the hydrophobicity of the ECNFs is also gradually improved with the increase in CGQD content. This is ascribed to the increase in diameter of the carbon nanofibers. The ECNF prepared under the optimized condition shows a water contact angle of approximately 142°. Thus, it can be used for efficient and endurable gravity-driven oil/water separation.
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DOI:
10.1016/j.msec.2016.12.086
发表时间:
2017-04
期刊:
Materials science & engineering. C, Materials for biological applications
影响因子:
--
作者:
P. Tsekova;M. Spasova;N. Manolova;N. Markova;Iliya B Rashkov
通讯作者:
P. Tsekova;M. Spasova;N. Manolova;N. Markova;Iliya B Rashkov
影响因子:
13.3
作者:
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通讯作者:
Qiu, Jieshan
影响因子:
--
作者:
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通讯作者:
Hongyang Zhao;Luxiang Wang;Dianzeng Jia;Wei Xia;Jun Li;Zaiping Guo
影响因子:
6.6
作者:
He, Yitao;Wang, Luxiang;Jia, Dianzeng
通讯作者:
Jia, Dianzeng
影响因子:
10.9
作者:
Igor P. Asanov;Lyubov G. Bulusheva;Huaihe Song;Alex;er V. Okotrub
通讯作者:
er V. Okotrub