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Multivariate analysis to discriminate the origin of sesame seeds by multi-element analysis inductively coupled plasma-mass spectrometry
- Source :
- Food Science and Biotechnology. 26:375-379
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- 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
- Subjects :
- 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
Subjects
Details
- ISSN :
- 20926456 and 12267708
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Food Science and Biotechnology
- Accession number :
- edsair.doi.dedup.....eac34f407ffebf4ae583292acd4164fe