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Nitrogen-Doped Carbon Nanofibers as Pt-Free Catalyst in the Oxygen Reduction Reaction - A study of iron nanoparticles as N-CNF catalyst on different supports

机译:氮还原碳纳米纤维在无氧还原反应中的无Pt催化剂-铁纳米颗粒作为N-CNF催化剂在不同载体上的研究

摘要

A new approach was tested as nitrogen-doped carbon nanofibers (N-CNFs) were synthesized by using uniformly sized iron nanoparticles (FeNPs) on two different support as their growth catalyst. The N-CNFs are designed as a new catalyst for the oxygen reduction reaction (ORR) in a fuel cell. The aim was to establish working methods for a more homogeneous system which would give the possibility to study the effect of different parameters in-depth in future work.Different samples of FeNPs were first produced in order to achieve the largest possible size with a homogenous distribution. The N-CNFs were then grown by utilizing the chemical vapor deposition method for 24 h. Both FeNPs and iron nitrate were used to impregnate two samples each with expanded graphite and vulcan carbon as their support. Scanning transmission electron microscopy (S(T)EM) was used to confirm the presence of N-CNFs and determine their structure, whereas x-ray photoelectron spectroscopy was used to confirm the incorporation of nitrogen. Finally, the ORR potential and the reduction pathway were determined by a three-electrode system to be between 0.88 V and 0.92 V for all samples. The system contained a reversible hydrogen electrode as a reference electrode and platinum foil as counter electrode.Despite the uniform starting system, all samples exhibit great diversity of both N-CNFs structure and size. The most abundant structures were bamboo, fishbone and multi-walled carbon nanotubes. FeNPs impregnated on vulcan carbon (200Vu24h) exhibited both the highest activity and onset potential towards the ORR compared to the other samples. This is attributed to the relative short N-CNFs with bamboo structure and high surface area. The results also indicate that there is no correlation between neither the amount of nitrogen nor amount of quaternary-N and pyridinic-N and the activity above a certain nitrogen amount.
机译:测试了一种新方法,通过使用两种不同载体上的均一尺寸的铁纳米颗粒(FeNPs)作为生长催化剂来合成氮掺杂的碳纳米纤维(N-CNF)。 N-CNF被设计为燃料电池中氧还原反应(ORR)的新催化剂。目的是为更均一的系统建立工作方法,从而有可能在以后的工作中深入研究不同参数的影响。首先制备了不同的FeNPs样品,以实现具有均一分布的最大尺寸。然后通过利用化学气相沉积法使N-CNF生长24小时。 FeNP和硝酸铁均用于浸渍两个样品,每个样品均以膨胀石墨和沃肯碳为载体。扫描透射电子显微镜(S(T)EM)用于确认N-CNF的存在并确定其结构,而X射线光电子能谱用于确认氮的掺入。最后,对于所有样品,通过三电极系统确定ORR电位和还原途径为0.88 V至0.92V。该系统包含可逆氢电极作为参比电极和铂箔作为反电极。尽管采用了均匀的起始体系,但所有样品的N-CNFs结构和尺寸均存在很大差异。最丰富的结构是竹子,鱼骨和多壁碳纳米管。与其他样品相比,浸渍在火神碳(200Vu24h)上的FeNP表现出最高的活性和对ORR的爆发潜能。这归因于具有竹结构和高表面积的相对短的N-CNF。结果还表明,氮的含量,季铵态氮和吡啶鎓型氮的含量与一定氮含量以上的活性之间都没有相关性。

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    Barsnes Anne Helene;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 eng
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