Recent update on methodologies for extraction and analysis of soybean seed proteins
Abstract
Soybean is one of the best sources of plant protein. Development of improved soybean cultivars through classical breeding and new biotech approaches is important to meet the growing global demand for soybeans. There is a critical need to investigate changes in protein content and profiles to ensure the safety and nutritional quality of new soybean varieties and their food products. A proteomics study begins with an optimal combination of extraction, separation and detection approaches. This review attempts to provide a summary of current updates in the methodologies used for extraction, separation and detection of protein from soybean, the basic foundations for good proteomic research. This information can be effectively used to investigate modifications in protein content and profiles in new varieties of soybeans and other crops. © 2018 Society of Chemical Industry
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The traditional alkali dissolution-acid precipitation method suffers from low extraction efficiency, severe protein aggregation, and poor functional properties.
“However, it suffers from low extraction efficiency, severe protein aggregation, and poor functional properties (Chandran et al., 2024; Luthria et al., 2018; Y. Zhao et al., 2022).”
From Heat-induced gelation of ultrasonically extracted saline-alkali-grown soybean protein: Correlation between protein conformation and gel functional behavior (2027) · cites this paper as Luthria et al., 2018
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Han, X., Shan, B., Li, Y., Liu, J., Yang, J., & Li, D. (2027) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2026.113483
- Authors
- Luthria, D. L., Maria John, K. M., Marupaka, R., & Natarajan, S.
- Affiliations
- Beltsville Human Nutrition Research Center USDA‐ARS Beltsville MD USA
- Soybean Genomics and Improvement Laboratory USDA‐ARS Beltsville MD USA
- ORCID
- Marupaka, Ramesh
- Venue
- Journal of the Science of Food and Agriculture
- Publisher
- Wiley
- Published
- 2018-09-17
- Volume
- 98
- Issue
- 15
- Pages
- 5572-5580
- ISSN
- 0022-5142
- 1097-0010
- Cited by
- 37
- References
- 0
- Language
- en
- Licence
- Funders
- Agricultural Research Service (1245‐21220‐232‐00D)
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