Multivariate analysis to discriminate the origin of sesame seeds by multi-element analysis inductively coupled plasma-mass spectrometry
| Autor: | Young Hee Oh, Juseong Park, Mi-Sun Kim, Joong-Ho Kwon, Chae Kyu Hong, Sun Oak Jung, Young Hee Choi |
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| Rok vydání: | 2017 |
| Předmět: |
Multivariate analysis
Chromatography Chemistry 010401 analytical chemistry Analytical chemistry 04 agricultural and veterinary sciences Mass spectrometry Linear discriminant analysis 040401 food science 01 natural sciences Applied Microbiology and Biotechnology Multi element Article Sesame seed 0104 chemical sciences 0404 agricultural biotechnology Principal component analysis Inductively coupled plasma mass spectrometry Food Science Biotechnology |
| Zdroj: | Food Science and Biotechnology. 26:375-379 |
| ISSN: | 2092-6456 1226-7708 |
| DOI: | 10.1007/s10068-017-0051-0 |
| Popis: | In this study, inductively coupled plasma-mass spectrometry (ICP-MS) was used to determine the concentration of 15 elements (Mg, Al, K, Ca, Cr, Mn, Co, Ni, Cu, Zn, Rb, Sr, Cd, Ba, and Pb) of sesame seeds. Multivariate analysis was then performed to discriminate the origin of sesame seeds. Korean (48), Chinese (44), and Indian (21) samples were used to develop the calibration model. Another 10 samples were used to validate this model. All elements were significantly different (p |
| Databáze: | OpenAIRE |
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