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Quantification of anti-nutritional factors and their correlations with protein and oil in soybeans

Overview of attention for article published in Anais da Academia Brasileira de Ciências, March 2018
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Title
Quantification of anti-nutritional factors and their correlations with protein and oil in soybeans
Published in
Anais da Academia Brasileira de Ciências, March 2018
DOI 10.1590/0001-3765201820140465
Pubmed ID
Authors

RAFAEL D. BUENO, LEANDRO L. BORGES, PEDRO I.V. GOOD GOD, NEWTON D. PIOVESAN, ARLINDO I. TEIXEIRA, COSME DAMIÃO CRUZ, EVERALDO G. DE BARROS

Abstract

Soybeans contain about 30% carbohydrate, mainly consisting of non-starch polysaccharides (NSP) and oligosaccharides. NSP are not hydrolyzed in the gastrointestinal tract of monogastric animals. These NSP negatively affect the development of these animals, especially the soluble fraction. This work aimed to establish a method to quantify NSP in soybeans, using high performance liquid chromatography (HPLC), and to estimate correlations between NSP, oligosaccharides, protein and oil. Sucrose, raffinose + stachyose, soluble and insoluble NSP contents were determined by HPLC. Oil and protein contents were determined by near-infrared spectroscopy (NIRS). The soluble PNAs content showed no significant correlation with protein, oil, sucrose and raffinose + stachyose contents, but oligosaccharides showed a negative correlation with protein content. These findings open up the possibility of developing cultivars with low soluble NSP content, aiming to develop feed for monogastric animals.

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Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 5 19%
Student > Master 3 11%
Student > Bachelor 2 7%
Other 1 4%
Other 1 4%
Unknown 9 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 1 4%
Environmental Science 1 4%
Chemical Engineering 1 4%
Other 3 11%
Unknown 8 30%