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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 determination in intact acai (Euterpe oleracea Mart.) and palmitero-jucara (Euterpe edulis Mart.) fruit using near infrared spectroscopy (NIR) and multivariate calibration

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Author(s):
Cavalcanti Inacio, Maria Raquel [1] ; Gomes de Lima, Kassio Michell [1] ; Lopes, Valquiria Garcia [2] ; Cruz Pessoa, Jose Dalton [2] ; de Almeida Teixeira, Gustavo Henrique [3]
Total Authors: 5
Affiliation:
[1] Univ Fed Rio Grande do Norte, Inst Quim, Grp Pesquisa Quimiometria Aplicada, BR-59072970 Natal, RN - Brazil
[2] Empresa Brasileira Pesquisa Agropecuaria, Instrumentacao Agropecuaria, BR-13560970 Sao Paulo - 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: Food Chemistry; v. 136, n. 3-4, p. 1160-1164, FEB 1 2013.
Web of Science Citations: 33
Abstract

The aim of this study was to evaluate near-infrared reflectance spectroscopy (NIR), and multivariate calibration potential as a rapid method to determinate anthocyanin content in intact fruit (acai and palmitero-jucara). Several multivariate calibration techniques, including partial least squares (PLS), interval partial least squares, genetic algorithm, successive projections algorithm, and net analyte signal were compared and validated by establishing figures of merit. Suitable results were obtained with the PLS model (four latent variables and 5-point smoothing) with a detection limit of 6.2 g kg(-1), limit of quantification of 20.7 g kg(-1), accuracy estimated as root mean square error of prediction of 4.8 g kg(-1), mean selectivity of 0.79 g kg(-1), sensitivity of 5.04 x 10(-3) g kg(-1), precision of 27.8 g kg(-1), and signal-to-noise ratio of 1.04 x 10(-3) g kg(-1). These results suggest NIR spectroscopy and multivariate calibration can be effectively used to determine anthocyanin content in intact acai and palmitero-jucara fruit. (C) 2012 Elsevier Ltd. All rights reserved. (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