Affiliation:
1. Universidade Tecnológica Federal do Paraná, Brazil
Abstract
Abstract: The objective of this work was to evaluate multivariate calibration models to predict total lipids, crude protein, and moisture content in grinded soybean grains using near-infrared spectroscopy and partial least squares (PLS). Three hundred samples of grinded soybean, evaluated in duplicate, were used for reference and spectral measurements. The PLS models for total lipids, crude protein, and moisture were validated by figures of merit for accuracy and precision, respectively, of 0.75 and 0.67 for total lipids, 0.51 and 0.46 for crude protein, and 0.97 and 0.99 for moisture. The PLS models developed for total lipids, crude protein, and moisture can be used as an alternative methodology for the determination of physicochemical parameters, and, therefore, they can be applied in quality control in soybean processing industries.
Subject
Agronomy and Crop Science,Animal Science and Zoology
Reference35 articles.
1. ACOMPANHAMENTO DA SAFRA BRASILEIRA [DE] GRÃOS: safra 2016/17: sexto levantamento,2017
2. Official Methods and Recommended Practices of the AOCS,2009
3. ASTM E1655-05 - Standart Practices for Infrared Multivariate Quantitative Analysis,2012
4. Application of near infrared (NIR) spectroscopy coupled to chemometrics for dried egg-pasta characterization and egg content quantification;BEVILACQUA M.;Food Chemistry,2013
5. Implementação de um método robusto para o controle fiscal de umidade em queijo minas artesanal. Abordagem metrológica multivariada;BOTELHO B.G.;Quimica Nova,2013
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