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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.)

DISCRIMINATION OF EUTERPE OLERACEA MART. (ACAI) AND EUTERPE EDULIS MART. (JUCARA) INTACT FRUIT USING NEAR-INFRARED (NIR) SPECTROSCOPY AND LINEAR DISCRIMINANT ANALYSIS

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Author(s):
Dall' Acqua, Yara Gurgel [1] ; Cunha Junior, Luis Carlos [1] ; Nardini, Viviani [1] ; Lopes, Valquira Garcia [2] ; Da Cruz Pessoa, Jose Dalton [2] ; De Almeida Teixeira, Gustavo Henrique [3]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, FCFRP, Dept Anal Clin Toxicol & Bromatol, BR-14049 Ribeirao Preto, SP - Brazil
[2] Empresa Brasileira Pesquisa Agr EMBRAPA, Instrumentacao Agr, Sao Carlos, SP - Brazil
[3] Univ Estadual Paulista UNESP, Dept Prod Vegetal, Fac Ciencias Agr & Vet, BR-14884900 Jaboticabal, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: JOURNAL OF FOOD PROCESSING AND PRESERVATION; v. 39, n. 6, p. 2856-2865, DEC 2015.
Web of Science Citations: 1
Abstract

As the verification of authenticity of agricultural foods has become a potential application of spectroscopic methods, this study aimed to use near-infrared (NIR) spectroscopy associated with linear discriminant analysis (LDA) to discriminate intact fruit of the species Euterpe oleracea Mart. (acai) and Euterpe edulis Mart. (jucara). One hundred sixty-eight acai fruits from 17 genotypes and 200 fruits from 20 jucara genotypes were investigated and two groups were used for discriminating the species: calibration (294 fruits) and prediction (74 fruits). L-star, a(star), b(star)-PCA, and NIR-PCA of spectra pretreated with multiplicative scatter correction (MSC) showed the best results. The L-star, a(star), b(star)-LDA model resulted in 96.3% correct classification and 93.2% prediction accuracy of the external validation group. NIR spectra pretreated with MSC had 98% correct classification and 97.3% prediction accuracy. NIR spectroscopy associated with LDA is a reliable method for the discrimination of intact acai and jucara fruit. (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