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

Author(s)

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

Affiliation

^[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

• Document type: Journal article
• Source: Postharvest Biology and Technology; v. 112, p. 64-74, FEB 2016.
• Web of Science Citations: 6

Abstract

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)

• FAPESP's process: 11/19669-2 - The use of near infrared spectroscopy for quality evaluation of whole açaizeiro and palmiteiro-juçara fruits: modeling and chemometrics
• Grantee: Luis Carlos Cunha Junior
• Support Opportunities: Scholarships in Brazil - Post-Doctoral