Abstract
Multivariate optimization was employed to obtain the best conditions of the inductively coupled optical emission spectrometer (ICP OES) (nebulization gas flow rate of 0.47 L min−1 and applied power of 1.36 kW) for the determination of Al, Ba, Ca, Cu, Fe, K, Mg, Na, and Mn in 27 green tea samples. In the hierarchical cluster analysis, it was possible to observe the formation of five different groups (imported Japanese samples, samples without specifications, organically cultivated samples, samples in capsules, and ready-to-drink iced tea samples) besides the separation according to brand. In the principal component analysis we verified that the first four main components explained 99.98 % of the total variance. The ICP OES technique and the exploratory analysis were shown effective tools that can be used jointly in the quality control and classification of green tea samples.
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Acknowledgments
The authors wish to thank the Ezequiel Dias Foundation (FUNED) for their donation of laboratory equipment for this research, the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, Brazil), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and the Fundação de Desenvolvimento da Pesquisa (FUNDEP) for their financial support.
Conflict of Interest
Roberta E.S. Froes declares that she has no conflict of interest. Waldomiro Borges Neto declares that he has no conflict of interest. Mark A. Beinner declares that he has no conflict of interest. Clésia C. Nascentes declares that she has no conflict of interest. José Bento B. da Silva declares that he has no conflict of interest. This article does not contain any studies with human or animal subjects.
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Froes, R.E.S., Borges Neto, W., Beinner, M.A. et al. Determination of Inorganic Elements in Teas Using Inductively Coupled Plasma Optical Emission Spectrometry and Classification with Exploratory Analysis. Food Anal. Methods 7, 540–546 (2014). https://doi.org/10.1007/s12161-013-9651-3
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DOI: https://doi.org/10.1007/s12161-013-9651-3