Evaluation of dietary fiber of Brazilian soybean (Glycine max) using near-infrared spectroscopy and chemometrics

Autor(es)

Ferreira, Daniela Souza ^[1] ; Poppi, Ronei Jesus ^[2] ; Lima Pallone, Juliana Azevedo ^[1]

Afiliação do(s) autor(es)

^[1] Univ Campinas UNICAMP, Sch Food Engn, Dept Food Sci, BR-13083862 Campinas, SP - Brazil

^[2] Univ Campinas UNICAMP, Inst Chem, Chemometr Lab Analyt Chem, BR-13083970 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF CEREAL SCIENCE; v. 64, p. 43-47, JUL 2015.
• Citações Web of Science: 8

Resumo

The dietary fiber analytical methods measure soluble and insoluble non-starch polysaccharides which include cellulose, hemicellulose, pectin, beta-glucans, gums, and lignin. These assays are time-consuming and often produce a considerable amount of chemical waste. In this research, a methodology based on Fourier transform near-infrared spectroscopy (NIRS) in conjunction with multivariate calibration was developed for prediction of the total dietary fiber in soybean from Brazil (n = 80) using a traditional assay as reference. The total dietary fiber content of soybean samples using an enzymatic-gravimetric method varied between 10.64 g 100 g(-1) and 19.50 g 100 g(-1). The ground beans were directly analyzed by diffuse reflectance in the region between 10,000 and 4000 cm(-1) and the variable importance for projection (VIP) was the method for variable selection, which reduced to 4500 variables. The best calibration results using partial least squares (PLS) regression satisfactorily allowed the determination of the concentrations of dietary fiber with acceptable coefficient of determination (R-2 = 0.80) and low root mean square error of prediction (RMSEP = 0.86). It is confirmed that the NIRS technology is a method that may be useful to replace the traditional methods for routine analysis of dietary fiber in Brazilian soybean rapidly and accurately. (C) 2015 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 10/50418-3 - Composição centesimal em grãos utilizando espectroscopia no infravermelho próximo e ferramentas quimiométricas
• Beneficiário: Juliana Azevedo Lima Pallone
• Modalidade de apoio: Auxílio à Pesquisa - Regular