Elemental analysis of coffee: a comparison of ICP-MS and AAS methods
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 H2...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2014-08-01
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| Series: | Czech Journal of Food Sciences |
| Subjects: | |
| Online Access: | https://cjfs.agriculturejournals.cz/artkey/cjf-201404-0007_elemental-analysis-of-coffee-a-comparison-of-icp-ms-and-aas-methods.php |
| _version_ | 1797899661848084480 |
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| author | Monika Jarošová David Milde Martin Kuba |
| author_facet | Monika Jarošová David Milde Martin Kuba |
| author_sort | Monika Jarošová |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T08:33:32Z |
| format | Article |
| id | doaj.art-35ec9afeb1bc457185a203c80ffee3ac |
| institution | Directory Open Access Journal |
| issn | 1212-1800 1805-9317 |
| language | English |
| last_indexed | 2024-04-10T08:33:32Z |
| publishDate | 2014-08-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Czech Journal of Food Sciences |
| spelling | doaj.art-35ec9afeb1bc457185a203c80ffee3ac2023-02-23T03:28:07ZengCzech Academy of Agricultural SciencesCzech Journal of Food Sciences1212-18001805-93172014-08-0132435435910.17221/399/2013-CJFScjf-201404-0007Elemental analysis of coffee: a comparison of ICP-MS and AAS methodsMonika Jarošová0David Milde1Martin Kuba2Regional Centre of Advanced Technologies and Materials, Department of Analytical Chemistry, Faculty of Science, Palacký University in Olomouc, Czech RepublicRegional Centre of Advanced Technologies and Materials, Department of Analytical Chemistry, Faculty of Science, Palacký University in Olomouc, Czech RepublicRegional Centre of Advanced Technologies and Materials, Department of Analytical Chemistry, Faculty of Science, Palacký University in Olomouc, Czech RepublicWe 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.https://cjfs.agriculturejournals.cz/artkey/cjf-201404-0007_elemental-analysis-of-coffee-a-comparison-of-icp-ms-and-aas-methods.phpcoffea arabicaatomic absorption spectrometryinductively coupled plasma mass spectrometry metalsunivariate statisticsmultivariate statistics |
| spellingShingle | Monika Jarošová David Milde Martin Kuba Elemental analysis of coffee: a comparison of ICP-MS and AAS methods Czech Journal of Food Sciences coffea arabica atomic absorption spectrometry inductively coupled plasma mass spectrometry metals univariate statistics multivariate statistics |
| title | Elemental analysis of coffee: a comparison of ICP-MS and AAS methods |
| title_full | Elemental analysis of coffee: a comparison of ICP-MS and AAS methods |
| title_fullStr | Elemental analysis of coffee: a comparison of ICP-MS and AAS methods |
| title_full_unstemmed | Elemental analysis of coffee: a comparison of ICP-MS and AAS methods |
| title_short | Elemental analysis of coffee: a comparison of ICP-MS and AAS methods |
| title_sort | elemental analysis of coffee a comparison of icp ms and aas methods |
| topic | coffea arabica atomic absorption spectrometry inductively coupled plasma mass spectrometry metals univariate statistics multivariate statistics |
| url | https://cjfs.agriculturejournals.cz/artkey/cjf-201404-0007_elemental-analysis-of-coffee-a-comparison-of-icp-ms-and-aas-methods.php |
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