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  • 标题:Elemental analysis of coffee: a comparison of ICP-MS and AAS methods
  • 本地全文:下载
  • 作者:Jarošová M. ; Milde D. ; Kuba M.
  • 期刊名称:Czech Journal of Food Sciences
  • 印刷版ISSN:1212-1800
  • 电子版ISSN:1805-9317
  • 出版年度:2014
  • 卷号:32
  • 期号:4
  • 页码:354-359
  • DOI:10.17221/399/2013-CJFS
  • 出版社:Czech Academy of Agricultural Sciences
  • 摘要:We determined the mineral nutrients and toxic elements (Ca, Cu, Fe, Mg, Zn, Cd, Cr, Mn, Ni, and Pb) in five types of coffee by atomic absorption spectrometry and inductively coupled plasma mass spectrometry. The decomposition of the samples took place in a microwave digestion system with HNO3 and H2O2 reagents. Partial validation of the method was performed by using the certified reference material (NCS ZC 73014). Univariate and multivariate statistical methods were used to compare both the coffee samples and the techniques used. No significant differences were found between two used methods. Significant differences occurred between the coffee samples but only the application of multivariate statistics helps to distinguish among samples from different locations.
  • 关键词:coffea Arabica; atomic absorption spectrometry; inductively coupled plasma mass spectrometry metals; univariate statistics; multivariate statistics
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