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ABSTRACT
Bioactive compounds and antioxidant activity from 44 fruit were evaluated. The data were statistically evaluated by analysis of common components and specific weights (CCSWA). Panã, acerola, açaí, and jabuticaba showed higher values of total phenolic compounds (TPCs) and antioxidant activity. The analysis of CCSWA was able to explain almost 100% of the variance of the data and established the correlation between TPC and antioxidant capacity, being the most influential variables in the classification of samples. This statistical method is ideal for quickly analyzing a large amount of data, as obtained in this research, which facilitates routines of industrial analysis.
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Funding
The authors thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant number 303238/2013-5 and 304978/2016-7) and Fundação Araucária Convênio 384/2014 for funding this study. Author Ana Paula Stafussa thanks Coordenação de Aperfeiçoamento do Pessoal do Ensino Superior (CAPES) for the financial support.