Quality evaluation of intact acai and jucara fruit by means of near infrared spectroscopy

Autor(es)

Cunha Junior, Luis Carlos ^[1] ; de Almeida Teixeira, Gustavo Henrique ^[2] ; Nardini, Viviani ^[3] ; Walsh, Kerry Brian ^[4]

Afiliação do(s) autor(es)

^[1] Univ Fed Goias, EA, Setor Hort, Rodovia Goiania Nova Veneza, Km 0 Campus Samambaia, BR-74690000 Goiania, Go - Brazil

^[2] Univ Estadual Paulista UNESP, Fac Ciencias Agr & Vet Jaboticabal FCAV, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Sao Paulo - Brazil

^[3] Univ Sao Paulo, FCFRP, Dept Anal Clin Toxicol & Bromatol, Ave Cafe S-N Campus Univ USP, BR-14040903 Sao Paulo - Brazil

^[4] Cent Queensland Univ, Plant Sci Grp, Rockhampton, Qld 4072 - Australia

• Tipo de documento: Artigo Científico
• Fonte: Postharvest Biology and Technology; v. 112, p. 64-74, FEB 2016.
• Citações Web of Science: 6

Resumo

The objective of this study was to report the robustness of partial least squares regression (PLSR) models developed using FT-NIR reflectance spectra obtained from intact acai and jucara fruit. Mature fruit were collected over two years (6 populations of acari and jucara, totalling 505 samples). Diffuse reflectance spectra were acquired (64 scans and spectral resolution of 8 cm(-1)) using 25 fruits per batch on a 90 mm diameter glass dish in a single layer. Spectra were subject to several pre-processing procedures and two variable selection methods to develop the PLSR models. For total anthocyanin content (TAC) in acai, a PLSR model developed using the wavelength range of 1606-1793 nm, standard normal variate (SNV) and second derivative of Savitzky-Golay (SNV + d(2)A) achieved a bias corrected root mean square error (SEP) of 3.6 g kg(-1) and a R-p(2) of 0.7 in predicting an external independent set, which was better than PLSR models for jucara (SEP of 3.7 g kg(-1),R-p(2) of 0.5), and for both species combined (SEP of 5.7 g kg(-1), R-p(2) of 0.5). For soluble solids content (SSC) in gal the models developed using SNV + d(2)A spectra over the window of 1640-1738-nm achieved a bias-corrected SEP of 2.9% and R-p(2) of 0.8, similar to jucara (SEP of 1.1%, R-p(2) of 0.9) and for both species combined (SEP of 2.3%, R-p(2) of 0.8). The developed models can be used to sort acai and jucara based on SSC and TAC into two grades (low and high contents). (C) 2015 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 11/19669-2 - Uso da espectroscopia do infravermelho próximo na avaliação da qualidade de frutos íntegros de açaizeiro e palmiteiro-juçara: modelagem e quimiometria
• Beneficiário: Luis Carlos Cunha Junior
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 08/51408-1 - Desenvolvimento de uma metodologia utilizando a espectroscopia do infravermelho próximo (NIRS) para a seleção e classificação de frutos íntegros de açaizeiro (Euterpe oleracea Mart.) e palmiteiro-jussara (Euterpe edulis Mart.)
• Beneficiário: Gustavo Henrique de Almeida Teixeira
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores