1995
DOI: 10.1016/0003-2670(95)00237-t
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Determination of oxygen stoichiometry in YBCO superconductors by spectrophotometry

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Cited by 10 publications
(4 citation statements)
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“…It is noticeable a preferential growth of the sample along the c -axis, corresponding to the (001) planes [43,44]. The Oxygen contents in both samples were obtained from the lattice parameters [45][46][47]. The obtained values are δ > 0.15 and δ ≤ 0.10 for the sintered and texturized samples, respectively, which agrees with the superconducting behaviour observed in these samples.…”
Section: Resultssupporting
confidence: 73%
“…It is noticeable a preferential growth of the sample along the c -axis, corresponding to the (001) planes [43,44]. The Oxygen contents in both samples were obtained from the lattice parameters [45][46][47]. The obtained values are δ > 0.15 and δ ≤ 0.10 for the sintered and texturized samples, respectively, which agrees with the superconducting behaviour observed in these samples.…”
Section: Resultssupporting
confidence: 73%
“…Other superconducting and non-superconducting phases were not detected within the experimental sensitivity. The Oxygen contents in both samples were obtained from the lattice parameters [31][32][33]. The obtained values were δ > 0,15 and δ ≤ 0,10 for the S and MTG samples, respectively, which agrees with the superconducting behavior observed in these samples.…”
Section: Resultssupporting
confidence: 59%
“…Most such methods involve the extraction of oxygen from the sample using dissolution and a chemical method to calculate the oxygen content. Examples are the reduction of samples in a hydrogen flow (Graf, Triscone, & Muller, 1990), iodometric titration (Benzi et al, 2004) or spectrophotometrywhich involves dissolution of YBCO in acid solvents then wavelength absorbance measurements (Nedeltcheva, 1995;Nedeltcheva & Vladimirova, 2001). These methods provide an average value of oxygen content over large sample volumes, giving no indication of localised segregation effects nor the distribution of point defects, and are likely insufficient for property predictions unless the sample is microscopically and macroscopically uniform.…”
Section: Introductionmentioning
confidence: 99%