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The development and application of analytical methods based on multi-collector inductively coupled plasma-mass spectrometry (MC-ICP-MS) for high-precision isotopic analysis of Fe in human blood and serum applicable to biomedical investigations

Yulia Anoshkina (UGent)
(2017)
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(UGent)
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Citation

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Chicago
Anoshkina, Yulia. 2017. “The Development and Application of Analytical Methods Based on Multi-collector Inductively Coupled Plasma-mass Spectrometry (MC-ICP-MS) for High-precision Isotopic Analysis of Fe in Human Blood and Serum Applicable to Biomedical Investigations”. Ghent, Belgium: Ghent University. Faculty of Sciences.
APA
Anoshkina, Yulia. (2017). The development and application of analytical methods based on multi-collector inductively coupled plasma-mass spectrometry (MC-ICP-MS) for high-precision isotopic analysis of Fe in human blood and serum applicable to biomedical investigations. Ghent University. Faculty of Sciences, Ghent, Belgium.
Vancouver
1.
Anoshkina Y. The development and application of analytical methods based on multi-collector inductively coupled plasma-mass spectrometry (MC-ICP-MS) for high-precision isotopic analysis of Fe in human blood and serum applicable to biomedical investigations. [Ghent, Belgium]: Ghent University. Faculty of Sciences; 2017.
MLA
Anoshkina, Yulia. “The Development and Application of Analytical Methods Based on Multi-collector Inductively Coupled Plasma-mass Spectrometry (MC-ICP-MS) for High-precision Isotopic Analysis of Fe in Human Blood and Serum Applicable to Biomedical Investigations.” 2017 : n. pag. Print.
@phdthesis{8530955,
  author       = {Anoshkina, Yulia},
  language     = {eng},
  pages        = {202},
  publisher    = {Ghent University. Faculty of Sciences},
  school       = {Ghent University},
  title        = {The development and application of analytical methods based on multi-collector inductively coupled plasma-mass spectrometry (MC-ICP-MS) for high-precision isotopic analysis of Fe in human blood and serum applicable to biomedical investigations},
  year         = {2017},
}