Screening of Mangifera indica L. functional content using PCA and neural networks (ANN).

Highlights • Determination of 13 bioactive phenolic compounds. • Analises of Mango samples (Mangifera indica L.) development, validation and application of a fast and efficient analytical method by HPLC-DAD. • Application of PCA and ANN, for correlation between the origin, type and fraction and the sample discrimination. Abstract A method using reversed-phase high-performance liquid chromatography with diode array detection (HPLC-DAD) was applied after extraction with acidified methanol, to determine 12 bioactive phenolic compounds in the peel and pulp of the mango fruit (Mangifera indica L.) cultivated in the Bahia, state of Brazil. The proposed methodology was previously fully validated and proven successful in the analysis of methanolic extracts of lyophilized samples. The limits of quantification ranged between 0.78 and 3.14 mg L−1 and the individual recovery values obtained for the spiked samples ranged from 80% to 120%. The results were evaluated using PCA and ANN. The results indicate that the fruits are rich in polyphenols, mainly: ellagic acid, gallic acid, rutin and catechin, which contribute to their greater use as functional foods, natural antioxidants and in the pharmaceutical industry, as well as other applications. [ABSTRACT FROM AUTHOR]