Discrimination of Euterpe oleracea Mart. (Açaí) and Euterpe edulis Mart. (Juçara) Intact Fruit Using Near‐Infrared (NIR) Spectroscopy and Linear Discriminant Analysis

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. (açaí)...

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Veröffentlicht in:Journal of food processing and preservation 2015-12, Vol.39 (6), p.2856-2865
Hauptverfasser: Dall' Acqua, Yara Gurgel, Cunha Júnior, Luis Carlos, Nardini, Viviani, Lopes, Valquira Garcia, Pessoa, José Dalton da Cruz, Almeida Teixeira, Gustavo Henrique
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container_end_page 2865
container_issue 6
container_start_page 2856
container_title Journal of food processing and preservation
container_volume 39
creator Dall' Acqua, Yara Gurgel
Cunha Júnior, Luis Carlos
Nardini, Viviani
Lopes, Valquira Garcia
Pessoa, José Dalton da Cruz
Almeida Teixeira, Gustavo Henrique
description 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. (açaí) and Euterpe edulis Mart. (juçara). One hundred sixty‐eight açaí fruits from 17 genotypes and 200 fruits from 20 juçara genotypes were investigated and two groups were used for discriminating the species: calibration (294 fruits) and prediction (74 fruits). L*, a*, b*‐PCA, and NIR‐PCA of spectra pretreated with multiplicative scatter correction (MSC) showed the best results. The L*, a*, b*‐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 açaí and juçara fruit. PRACTICAL APPLICATIONS: Recently, there has been an increasing interest by food industry and producers to assure consumers the authenticity of their products. Many food properties are related to individual compounds and their active chemical ingredients, such as essential oils, terpenoids, flavonoids, phenolic compounds, amino acids and organic acids. The Euterpe genus has many species of economic interest and E. oleracea (açaí or assai), E. edulis (juçara) and E. precatoria are among the most important species in the agribusiness sector. As the fruit of these species are morphologically similar, it is important to develop instrumental methods to sort these fruit at the convey belt in order to ensure authenticity and near‐infrared (NIR) spectroscopy can be used for that. Based on our results, the NIR spectroscopy and chemometrics provide a useful approach for authenticating fruit from Euterpe genus and can be used by the food industry to identify adulteration.
doi_str_mv 10.1111/jfpp.12536
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One hundred sixty‐eight açaí fruits from 17 genotypes and 200 fruits from 20 juçara genotypes were investigated and two groups were used for discriminating the species: calibration (294 fruits) and prediction (74 fruits). L*, a*, b*‐PCA, and NIR‐PCA of spectra pretreated with multiplicative scatter correction (MSC) showed the best results. The L*, a*, b*‐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 açaí and juçara fruit. PRACTICAL APPLICATIONS: Recently, there has been an increasing interest by food industry and producers to assure consumers the authenticity of their products. Many food properties are related to individual compounds and their active chemical ingredients, such as essential oils, terpenoids, flavonoids, phenolic compounds, amino acids and organic acids. The Euterpe genus has many species of economic interest and E. oleracea (açaí or assai), E. edulis (juçara) and E. precatoria are among the most important species in the agribusiness sector. As the fruit of these species are morphologically similar, it is important to develop instrumental methods to sort these fruit at the convey belt in order to ensure authenticity and near‐infrared (NIR) spectroscopy can be used for that. 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source Wiley Online Library Journals Frontfile Complete; Business Source Complete
subjects Accuracy
active ingredients
adulterated products
agribusiness
amino acids
chemometrics
Classification
Discriminant analysis
essential oils
Euterpe edulis
Euterpe oleracea
flavonoids
food industry
food quality
Foods
Fruits
genotype
Mathematical models
near-infrared spectroscopy
organic acids and salts
phenolic compounds
prediction
Spectra
Spectroscopy
terpenoids
title Discrimination of Euterpe oleracea Mart. (Açaí) and Euterpe edulis Mart. (Juçara) Intact Fruit Using Near‐Infrared (NIR) Spectroscopy and Linear Discriminant Analysis
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