Evaluation of contamination in preparation of an Antarctic ice core for microparticle analysis with SEM-EDX
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- Kudo Yoshiyuki
- Faculty of Science, Science University of Tokyo
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- Nakamura Hisamitsu
- Faculty of Science, Science University of Tokyo
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- Suzawa Takayoshi
- Faculty of Science, Science University of Tokyo
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- Furuya Keiichi
- Faculty of Science, Science University of Tokyo
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- Kikuchi Tadashi
- Faculty of Fundamental Engineering, Science University of Tokyo in Yamaguchi
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- Kamiyama Kokichi
- National Institute of Polar Research
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- Watanabe Okitsugu
- National Institute of Polar Research
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Abstract
A sample treatment method was established for the SEM-EDX analysis of solid microparticles in an Antarctic ice core. The numbers of contamination-particles all through the processes from cutting the specimen from the stored ice core to SEM observation were investigated. An ice core specimen (63.0g, depth 384.00m-384.11m) obtained from Mizuho ice core (No. 840628,M'-521,depth 383.82m-384.32m) was melted at room temperature on a clean bench; 10.9g of the resulting melt water was filtered with a Nuclepore membrane filter (pore size 0.2μm, diameter 13mm). 115 particles were detected from an optical domain of 520μm×320μm, 1/450 of the effective filtration area, randomly selected under SEM observation with 20000 magnification. A parallel experiment for the background revealed that it included about 4-5 contaminated particles. The average size of particles from the ice core specimen was 1.6μm, and silicate minerals (77%), silica (20%) and other (3%) were classified from the results of EDX analysis. The number of particles in the ice core specimen (Mizuho core at 384m in depth) was estimated as 4700±520/g from the results of parallel experiments using synthesized monodispersed hematite particles.
Journal
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- Polar meteorology and glaciology
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Polar meteorology and glaciology 14 34-46, 2000-11
National Institute of Polar Research
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Details 詳細情報について
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- CRID
- 1570572701945733760
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- NII Article ID
- 110001068164
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- NII Book ID
- AA1129795X
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- ISSN
- 13443437
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- Text Lang
- en
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- Data Source
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- CiNii Articles