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1.
Food Chem ; 369: 130672, 2022 Feb 01.
Article in English | MEDLINE | ID: mdl-34450513

ABSTRACT

In this study, mineral composition, centesimal composition and lead were evaluated in pine nut seeds (raw and cooked) from five Brazilian states. Mineral composition was determined by ICP OES and lead by GF AAS. The results for minerals were evaluated by Boxplot, PCA and HCA, using the R software. Average minerals in raw and cooked samples (mg 100 g-1) were: 15.2 and 10.8 (Ca), 0.168 and 0.113 (Cu), 0.506 and 0.330 (Fe), 536 and 420 (K), 51.3 and 40.6 (Mg), 0.373 and 0.208 (Mn), 132 and 102 (P) and 0.746 and 0.520 (Zn). The average centesimal composition (raw and cooked) was: 53.5 and 47.2% (moisture), 1.76 and 1.26% (ash), 3.90 and 3.53% (protein), 40.8 and 48.0% (carbohydrate) and 179 and 206 kcal/100 g (total caloric value) and Pb was not detected. The chemometric analysis showed a distinction of raw and cooked samples due to significant nutrient losses after thermal processing.


Subject(s)
Araucaria , Nuts , Data Analysis , Minerals , Seeds
2.
Food Chem ; 273: 115-123, 2019 Feb 01.
Article in English | MEDLINE | ID: mdl-30292356

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.


Subject(s)
Food Analysis/methods , Mangifera/chemistry , Neural Networks, Computer , Principal Component Analysis , Antioxidants/analysis , Brazil , Catechin/analysis , Chromatography, High Pressure Liquid , Chromatography, Reverse-Phase , Ellagic Acid/analysis , Food Analysis/statistics & numerical data , Fruit/chemistry , Functional Food/analysis , Gallic Acid/analysis , Phenols/analysis , Polyphenols/analysis
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