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Evaluating focused ion beam and ultramicrotome sample preparation for analytical microscopies of the cathode layer of a polymer electrolyte membrane fuel cell

机译:评价聚焦离子束和超薄切片机样品制备,以分析高分子电解质膜燃料电池阴极层的微观

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Optimizing the structure of the porous electrodes of polymer electrolyte membrane fuel cells (PEM-FC) can improve device power and durability. Analytical microscopy techniques are important tools for measuring the electrode structure, thereby providing guidance for structural optimization. Transmission Electron Microscopy (TEM), with either Energy Dispersive X-Ray (EDX) or Electron Energy Loss Spectroscopy (EELS) analysis, and Scanning Transmission X-Ray Microscopy (STXM) are complementary methods which, together, provide a powerful approach for PEM-FC electrode analysis. Both TEM and STXM require thin (50-200 nm) samples, which can be prepared either by Focused Ion Beam (FIB) milling or by embedding and ultramicrotomy. Here we compare TEM and STXM spectromicroscopy analysis of FIB and ultramicrotomy sample preparations of the same PEM-FC sample, with focus on how sample preparation affects the derived chemical composition and spatial distributions of carbon support and ionomer. The FIB lamella method, while avoiding pore-filling by embedding media, had significant problems. In particular, in the FIB sample the carbon support was extensively amorphized and the ionomer component suffered mass loss and structural damage. Although each sample preparation technique has a role to play in PEM-FC optimization studies, it is important to be aware of the limitations of each method. (C) 2016 Elsevier B.V. All rights reserved.
机译:优化聚合物电解质膜燃料电池(PEM-FC)的多孔电极的结构可以提高设备的功率和耐用性。分析显微镜技术是测量电极结构的重要工具,从而为结构优化提供了指导。具有能量色散X射线(EDX)或电子能量损失谱(EELS)分析的透射电子显微镜(TEM)和扫描透射X射线显微镜(STXM)是互补的方法,这些方法共同为PEM提供了强大的方法-FC电极分析。 TEM和STXM都需要薄的(50-200 nm)样品,可以通过聚焦离子束(FIB)铣削或通过包埋和超薄切片术来制备。在这里,我们比较了同一PEM-FC样品的FIB和超显微样品制备的TEM和STXM光谱分析,重点是样品制备如何影响衍生的碳载体和离聚物的化学组成以及空间分布。 FIB薄片方法在避免通过嵌入介质填充孔的同时,存在重大问题。特别地,在FIB样品中,碳载体被广泛地非晶化,并且离聚物组分遭受质量损失和结构破坏。尽管每种样品制备技术都在PEM-FC优化研究中发挥作用,但重要的是要意识到每种方法的局限性。 (C)2016 Elsevier B.V.保留所有权利。

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