Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parameters

Abstract The food industry should have methods that allow identifying bioactive compounds quickly, efficiently and at low cost. The objective of this research was to obtain mathematical models for predicting the amount of total phenolics, anthocyanins and antioxidant capacity of blackberry, blueberr...

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Main Authors: Thaís Caroline Buttow RIGOLON, Frederico Augusto Ribeiro de BARROS, Érica Nascif Rufino VIEIRA, Paulo César STRINGHETA
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência e Tecnologia de Alimentos
Series:Food Science and Technology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612020005010210&lng=en&tlng=en
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spelling doaj-dc7eb88c5ce04e599834ada7830afa172020-11-25T02:57:35ZengSociedade Brasileira de Ciência e Tecnologia de AlimentosFood Science and Technology0101-20611678-457X10.1590/fst.34219S0101-20612020005010210Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parametersThaís Caroline Buttow RIGOLONFrederico Augusto Ribeiro de BARROSÉrica Nascif Rufino VIEIRAPaulo César STRINGHETAAbstract The food industry should have methods that allow identifying bioactive compounds quickly, efficiently and at low cost. The objective of this research was to obtain mathematical models for predicting the amount of total phenolics, anthocyanins and antioxidant capacity of blackberry, blueberry and jaboticaba skin, based on colorimetric parameters (L*, a*, b*, C* and h*). All analyses were done in the phenolic extracts obtained from these fruits. The mathematical models were obtained through multiple linear regression using the stepwise method. The significant correlation between the colorimetric parameters and chemical analyses resulted in models with a high predictive ability (high r2), such as in the determination of the contents of anthocyanins (r2 = 0.99), total phenolics (r2 = 0.86) and for the antioxidant capacity (r2 = 0.99). Thus, the prediction of levels of these bioactives compound, using colorimetric parameters, is very promising for cost and time savings.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612020005010210&lng=en&tlng=enbioactive compoundspolyphenolscolorpigments
collection DOAJ
language English
format Article
sources DOAJ
author Thaís Caroline Buttow RIGOLON
Frederico Augusto Ribeiro de BARROS
Érica Nascif Rufino VIEIRA
Paulo César STRINGHETA
spellingShingle Thaís Caroline Buttow RIGOLON
Frederico Augusto Ribeiro de BARROS
Érica Nascif Rufino VIEIRA
Paulo César STRINGHETA
Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parameters
Food Science and Technology
bioactive compounds
polyphenols
color
pigments
author_facet Thaís Caroline Buttow RIGOLON
Frederico Augusto Ribeiro de BARROS
Érica Nascif Rufino VIEIRA
Paulo César STRINGHETA
author_sort Thaís Caroline Buttow RIGOLON
title Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parameters
title_short Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parameters
title_full Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parameters
title_fullStr Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parameters
title_full_unstemmed Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parameters
title_sort prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (rubus sp.), blueberry (vaccinium sp.) and jaboticaba (plinia cauliflora (mart.) kausel) skin using colorimetric parameters
publisher Sociedade Brasileira de Ciência e Tecnologia de Alimentos
series Food Science and Technology
issn 0101-2061
1678-457X
description Abstract The food industry should have methods that allow identifying bioactive compounds quickly, efficiently and at low cost. The objective of this research was to obtain mathematical models for predicting the amount of total phenolics, anthocyanins and antioxidant capacity of blackberry, blueberry and jaboticaba skin, based on colorimetric parameters (L*, a*, b*, C* and h*). All analyses were done in the phenolic extracts obtained from these fruits. The mathematical models were obtained through multiple linear regression using the stepwise method. The significant correlation between the colorimetric parameters and chemical analyses resulted in models with a high predictive ability (high r2), such as in the determination of the contents of anthocyanins (r2 = 0.99), total phenolics (r2 = 0.86) and for the antioxidant capacity (r2 = 0.99). Thus, the prediction of levels of these bioactives compound, using colorimetric parameters, is very promising for cost and time savings.
topic bioactive compounds
polyphenols
color
pigments
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612020005010210&lng=en&tlng=en
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