論文

査読有り
2016年7月

Determination of Elemental Ratio in an Atomic Column by Electron Energy Loss Spectroscopy

ACS Nano
  • Mitsutaka Haruta
  • ,
  • Yoshiteru Hosaka
  • ,
  • Noriya Ichikawa
  • ,
  • Takashi Saito
  • ,
  • Yuichi Shimakawa
  • ,
  • Hiroki Kurata

10
7
開始ページ
6680
終了ページ
6684
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1021/acsnano.6b01887
出版者・発行元
AMER CHEMICAL SOC

Atomic-resolution quantification of the elemental ratio of Fe to Mn at the octahedral and tetrahedral sites in brownmillerite Ca2Fe1.07Mn0.93O5 was determined using electron energy-loss spectroscopy combined with aberration-corrected scanning transmission electron microscopy. The combined techniques revealed that oversampling of the spectral imaging data yielded a spatially resolved area that very nearly reflects atomic resolution (similar to 1.2 angstrom radius). The average experimental ratios of Fe to Mn within this region were 17.5:82.5 for the octahedral sites and 81.6:18.4 for the tetrahedral sites. The elemental ratio in an octahedral atomic column was successfully extracted by estimating the mixing of signals from nearest neighbor columns. The results indicated that the ratio of Fe to Mn was 13:87 at the octahedral site, which is in good agreement with the results of neutron diffraction analysis. In addition, the uncertainty of experimental results obtained by using an average 1.2 angstrom radius was less than 10% at octahedral sites, depending on the sample thickness. In contrast, the experimental error due to dechanneling of incident electrons was larger at the tetrahedral sites. This experimental procedure has wide application for determining the spatially resolved composition ratio of elements in perovskite-like compounds.

リンク情報
DOI
https://doi.org/10.1021/acsnano.6b01887
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000380576600030&DestApp=WOS_CPL
ID情報
  • DOI : 10.1021/acsnano.6b01887
  • ISSN : 1936-0851
  • eISSN : 1936-086X
  • Web of Science ID : WOS:000380576600030

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