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Use of Metals and Anion Species with Chemometrics Tools for Classification of Unprocessed and Processed Coconut Waters

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Abstract

Coconut water is a natural isotonic, nutritive, and low-caloric drink. Preservation process is necessary to increase its shelf life outside the fruit and to improve commercialization. However, the influence of the conservation processes, antioxidant addition, maturation time, and soil where coconut is cultivated on the chemical composition of coconut water has had few arguments and studies. For these reasons, an evaluation of coconut waters (unprocessed and processed) was carried out using Ca, Cu, Fe, K, Mg, Mn, Na, Zn, chloride, sulfate, phosphate, malate, and ascorbate concentrations and chemometric tools. The quantitative determinations were performed by electrothermal atomic absorption spectrometry, inductively coupled plasma optical emission spectrometry, and capillary electrophoresis. The results showed that Ca, K, and Zn concentrations did not present significant alterations between the samples. The ranges of Cu, Fe, Mg, Mn, PO 3−4 , and SO 2−4 concentrations were as follows: Cu (3.1–120 µg L−1), Fe (60–330 µg L−1), Mg (48–123 mg L−1), Mn (0.4–4.0 mg L−1), PO 3−4 (55–212 mg L−1), and SO 2−4 (19–136 mg L−1). The principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied to differentiate unprocessed and processed samples. Multivariated analysis (PCA and HCA) were compared through one-way analysis of variance with Tukey–Kramer multiple comparisons test, and p values less than 0.05 were considered to be significant.

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Acknowledgments

The authors are grateful to the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for financial support and PVO for sponsorship.

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Correspondence to Pedro V. Oliveira.

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Naozuka, J., da Veiga, M.A.M.S., Richter, E.M. et al. Use of Metals and Anion Species with Chemometrics Tools for Classification of Unprocessed and Processed Coconut Waters. Food Anal. Methods 4, 49–56 (2011). https://doi.org/10.1007/s12161-010-9124-x

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  • DOI: https://doi.org/10.1007/s12161-010-9124-x

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