ArticleMolecules (Basel, Switzerland)2020
Workflow for the Quantification of Soluble and Insoluble Carbohydrates in Soybean Seed.
Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Mapping carbon utilization pathways inmSystems · 2025Article
- Biopurification of functional soybean oligosaccharides from defatted soybean yellow pulp water fermented by yeast species: A process study.Food chemistry: X · 2025Article
- Physiological and Biochemical Responses of Almond (Plants (Basel, Switzerland) · 2025Article
- Development of Meat Substitutes from Filamentous Fungi Cultivated on Residual Water of Tempeh Factories.Molecules (Basel, Switzerland) · 2023Article
- Optimizing raffinose family oligosaccharides content in plants: A tightrope walk.Frontiers in plant science · 2023Review
- Expression of AtWRI1 and AtDGAT1 during soybean embryo development influences oil and carbohydrate metabolism.Plant biotechnology journal · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Soybean seed composition has a profound impact on its market value and commercial use as an important commodity. Increases in oil and protein content have been historically pursued by breeders and genetic engineers; consequently, rapid methods for their quantification are well established. The interest in complete carbohydrate profiles in mature seeds, on the other hand, has recently increased due to numerous attempts to redirect carbohydrates into oil and protein or to offer specialty seed with a specific sugar profile to meet animal nutritional requirements. In this work, a sequential protocol for quantifying reserve and structural carbohydrates in soybean seed was developed and validated. Through this procedure, the concentrations of soluble sugars, sugar alcohols, starch, hemicellulose, and crystalline cellulose can be determined in successive steps from the same starting material using colorimetric assays, LC-MS/MS, and GC-MS. The entire workflow was evaluated using internal standards to estimate the recovery efficiency. Finally, it was successfully applied to eight soybean genotypes harvested from two locations, and the resulting correlations of carbohydrate and oil or protein are presented. This methodology has the potential not only to guide soybean cultivar optimization processes but also to be expanded to other crops with only slight modifications.
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