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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Total Anthocyanin Content in Intact Acai (Euterpe oleracea Mart.) and Jucara (Euterpe edulis Mart.) Fruit Predicted by Near Infrared Spectroscopy

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Author(s):
de A. Teixeira, Gustavo H. [1] ; Lopes, Valquiria G. [2] ; Cunha Junior, Luis C. [3] ; Pessoa, Jose D. C. [2]
Total Authors: 4
Affiliation:
[1] Univ Estadual Paulista, UNESP, Fac Ciencias Agr & Vet, Dept Prod Vegetal, BR-14884900 Sao Paulo - Brazil
[2] Empresa Brasileira Pesquisa Agr, Instrumentacao Agr, BR-13560970 Sao Carlos, SP - Brazil
[3] Univ Sao Paulo, Fac Ciencias Farmaceut Ribeirao Preto, Dept Anal Clin Toxicol & Bromatol, BR-14040903 Sao Paulo - Brazil
Total Affiliations: 3
Document type: Journal article
Source: HORTSCIENCE; v. 50, n. 8, p. 1218-1223, AUG 2015.
Web of Science Citations: 1
Abstract

Acai (Euterpe oleraceae Mart.) and jucara (Euterpe edulis Mart.) palms are native to Brazil and these species are rich in anthocynanins. The methods applied to determine anthocyanins are time-consuming, generate chemical residues, and do not fit in modern on-line grading machines. As near infrared (NIR) spectroscopy has been used as a nondestructive method to determine anthocyanin, the objective of this study was to use NIR spectroscopy to predict total anthocyanin (TA) in intact acai and jucara fruits. Spectra were collected using a Fourier transform (FT)-NIR spectrophotometer in the diffuse reflectance (4,000-10,000 cm(-1)) and TA reference data were obtained using the Association of Official Analytical Chemists (AOAC) method. Different treatments were applied to spectra and spectral data sets were correlated with TA by using partial least squares (PLSs) regression algorithm. The global-PLS model obtained with acai and jucara spectra resulted in a root mean standard error of prediction (RMSEP) of 10.05 g-kg(-1). However, this model was not adequate for TA levels found in acai fruits, therefore individual models were developed. The acai-PLS model proved to be more adequate, as RMSEP was reduced to 3.56 g.kg(-1). On the other hand, the RMSEP obtained with the jucara-PLS model (6.59 g.kg(-1)) was almost the same of the global model. NIR spectroscopy can be used to adequately predict TA content in intact acai and jucara fruits and this method could be used as an analytical procedure to monitor their quality. (AU)

FAPESP's process: 09/18602-1 - Development of a non-destructive methodology using the near infrared spectroscopy (NIRS) for sorting and classification of açaizeiro (Euterpe oleracea Mart.) and palmiteiro-jussara (Euterpe edulis Mart.) fruits
Grantee:Gustavo Henrique de Almeida Teixeira
Support Opportunities: Scholarships in Brazil - Young Researchers