PVP基碳纳米纤维的制备及其对亚甲基蓝的吸附性能

迟长龙1,2, 郑鑫1, 邵文轩1, 田辽阳1, 段广宇1,2*

化工新型材料 ›› 2022, Vol. 50 ›› Issue (9) : 261 -265.

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化工新型材料 ›› 2022, Vol. 50 ›› Issue (9) : 261-265. DOI: 10.19817/j.cnki.issn1006-3536.2022.09.051
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PVP基碳纳米纤维的制备及其对亚甲基蓝的吸附性能

    迟长龙1,2, 郑鑫1, 邵文轩1, 田辽阳1, 段广宇1,2*
作者信息 +

Preparation of PVP-based CNF and its adsorption performance to MB

  • Chi Changlong1,2, Zheng Xin1, Shao Wenxuan1, Tian Liaoyang1, Duan Guangyu1,2
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摘要

以聚乙烯吡咯烷酮(PVP)为原料,氯化锌、磷酸和乙酸锌为活化剂,通过静电纺丝技术,制备了PVP基碳纳米纤维,探究了不同活化剂对PVP基碳纳米纤维微观结构和形貌、比表面积、孔径分布以及对亚甲基蓝吸附性能的影响。结果表明:PVP基碳纳米纤维有较高的长径比,结构完整;此外,通过对比3种活化剂的活化效果表明乙酸锌对PVP基碳纳米纤维的活化效果最好,所对应碳纳米纤维的比表面积和总孔容分别达到965.46m2/g、0.6075cm3/g;最后用Langmuir方程分析了所制PVP基碳纳米纤维对亚甲基蓝的吸附性能,结果表明乙酸锌活化的PVP基碳纳米纤维的饱和吸附量达到255mg/g,相较于未活化PVP碳纳米纤维提升了77.1%。

Abstract

polyvinylpyrrolidone (PVP) as well as zinc chloride,phosphoric acid and zinc acetate was utilized to fabricate PVP-based carbon nanofibers(CNF)via electrospinning technology.The effects of different activators on the morphology and microstructure,specific surface area,pore size distribution and adsorption performance of methylene blue(MB) of the nanofibers were investigated.The results shown that the nanofibers presented high aspect ratio and complete structure.In addition,comparing with the activation effects of three activators,the consequence shown that zinc acetate displayed the best activation effect on the nanofibers.The specific surface area and total pore volume of the corresponding nanofibers reached 965.46m2/g and 0.6075cm3/g,respectively.Finally,Langmuir equation was employed to analyze the MB adsorption performance of prepared nanofibers.The result manifested that the saturated adsorption capacity of zinc acetate activated nanofibers reached 255mg/g,which was 77.1% higher than that of unactivated nanofibers.

关键词

聚乙烯吡咯烷酮 / 化学活化剂 / 碳纳米纤维 / 亚甲基蓝 / 吸附性能

Key words

polyvinylpyrrolidone / activator / carbon nanofiber / methylene blue / adsorption performance

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PVP基碳纳米纤维的制备及其对亚甲基蓝的吸附性能[J]. 化工新型材料, 2022, 50(9): 261-265 DOI:10.19817/j.cnki.issn1006-3536.2022.09.051

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基金资助

国家自然科学基金(51608175);河南省高校科技创新人才计划(20HASTIT016);河南省科技攻关项目(202102310605)

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