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Updated: Feb 4, 2026

High Content Screening in Neurodegenerative Diseases
Published on: January 6, 2012
Screening of Mangifera indica L. functional content using PCA and neural networks (ANN)
Maria Celeste da Silva Sauthier1, Erik Galvão Paranhos da Silva2, Bruna Rosa da Silva Santos3
1Universidade Federal da Bahia, Instituto de Química, Grupo de Pesquisa em Química e Quimiometria, CEP 40170-290 Salvador, BA, Brazil; Universidade do Estado da Bahia, Departamento de Ciências Exatas e da Terra, Grupo de Pesquisa e Desenvolvimento em Química Analítica, CEP 41195-001 Salvador, BA, Brazil; Instituto Federal de Educação, Ciências e Tecnologia Baiano, Campus Governador Mangabeira, Grupo de Pesquisa em Meio Ambiente e Sociedade, CEP 44350-000, Governador Mangabeira, BA, Brazil.
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.
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