کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11011749 | 1802856 | 2019 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Screening of Mangifera indica L. functional content using PCA and neural networks (ANN)
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
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چکیده انگلیسی
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 3.14â¯mgâ¯Lâ1 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 273, 1 February 2019, Pages 115-123
Journal: Food Chemistry - Volume 273, 1 February 2019, Pages 115-123
نویسندگان
Maria Celeste da Silva Sauthier, Erik Galvão Paranhos da Silva, Bruna Rosa da Silva Santos, Emmanuelle Ferreira Requião Silva, Jamile da Cruz Caldas, Lucas Almir Cavalcante Minho, Ana Maria Pinto dos Santos, Walter Nei Lopes dos Santos,