Quantification of soluble solids in reconstituted açaí (Euterpe oleracea Mart.) pulp using near-infrared spectroscopy

Authors

  • Koizimi Leandro Sandra,

    1. Universidade Federal de São Carlos – UFSCAR, Programa de Pós-graduação em Biotecnologia, São Carlos, São Paulo, Brazil
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  • Trevelin Carlos Luís,

    1. Universidade Federal de São Carlos – UFSCAR, Programa de Pós-graduação em Biotecnologia, São Carlos, São Paulo, Brazil
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  • Pessoa Dalton Cruz José,

    1. Empresa Brasileira de Pesquisa Agropecuária – EMBRAPA, Instrumentação Agropecuária, São Carlos, São Paulo, Brazil
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  • Cunha Júnior Carlos Luís,

    1. Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Univerdade de São Paulo - USP, Ribeirão Preto, São Paulo, Brazil
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  • Teixeira Henrique de Almeida Gustavo

    Corresponding author
    1. Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Univerdade de São Paulo - USP, Ribeirão Preto, São Paulo, Brazil
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Summary

Açaí consumption is increasing worldwide because of the growing recognition of its nutritional and therapeutic properties. This product is classified based on its soluble solids content (SS), but the determination of SS in pulp is time consuming, tedious and not suitable for modern food processing plants. As near-infrared (NIR) systems have been implemented to measure various quality attributes of food products, the objective of this study was to evaluate the feasibility of NIR diffuse reflectance spectroscopy to quantify the SS content of açaí pulp. Partial least squares (PLS) regression models were constructed to predict the SS. An optimum PLS model required one latent variable [principal component (PC)1 = 97%] with a root-mean-square error of calibration (RMSEC) of 1.06% for the calibration data set and the root-mean-square error of prediction (RMSEP) of 1.03% for internal cross-validation. External validation using an independent data set showed good performance (RMSEP = 1.33% and Rp2 = 0.82). NIR spectroscopy is a reliable method with which to determine SS in açaí pulp and thereby to classify açaí pulp according to established minimum quality standards.

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