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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.)

NIRS and iSPA-PLS for predicting total anthocyanin content in jaboticaba fruit

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Author(s):
Torres Mariani, Nathalia Cristina [1] ; de Almeida Teixeira, Gustavo Henrique [2] ; Gomes de Lima, Kassio Michell [3] ; Morgenstern, Thayara Bittencourt [4] ; Nardini, Viviani [1] ; Cunha Junior, Luis Carlos [1]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, Fac Ciencias Farmaceut Ribeirao Preto, Dept Anal Clin Toxicol & Bromatol, BR-14040903 Sao Paulo - Brazil
[2] Univ Estadual Paulista, Fac Ciencias Agr & Vet, Dept Prod Vegetal, BR-14884900 Sao Paulo - Brazil
[3] Univ Fed Rio Grande do Norte, Inst Quim, PPGQ, BR-59072970 Natal, RN - Brazil
[4] Univ Sao Paulo, Fac Med Ribeirao Preto, BR-14040903 Sao Paulo - Brazil
Total Affiliations: 4
Document type: Journal article
Source: Food Chemistry; v. 174, p. 643-648, MAY 1 2015.
Web of Science Citations: 15
Abstract

The aim of this study was to evaluate the potential of the successive projection algorithm for interval selection in partial least squares (iSPA-PLS) together with near-infrared reflectance spectroscopy (NIRS) as a feasible method to determine the total anthocyanin content (TAC) of intact jaboticaba fruit {[}Myrciaria jaboticaba (Vell.) O. Berg]. A total of 579 jaboticaba fruit were collected in three different harvests in three separate years (2011 and 2013). The correlation coefficients between the predicted and measured TAC were between 0.65 and 0.89, the RMSEPs were 7.55 g kg(-1) and 9.35 g kg(-1) (good accuracy) for prediction set, respectively. The RPD ratios for TAC were in the range of 2.57-3.19 with iSPA-PLS, which showed better predictive performance (acceptable precision). These results suggest that the NIR spectroscopy and wavelength selection (iSPA-PLS) algorithm can be used to determine the TAC of intact jaboticaba fruit. (C) 2014 Elsevier Ltd. All rights reserved. (AU)