Processed soybean meal (SBM) products aim to reduce the antinutritional factors (ANF) in SBM that limit nutrition. To evaluate protein-based ANF and molecular changes during processing, it is helpful to determine total protein profiles to determine the presence of ANF and the effects of processing, such as heating and hydrolyzation/fermentation. A detailed proteomic analysis using one-dimensional gel electrophoresis may be helpful. However, prior to this step, protein extraction must be optimized. In this study, the protein extraction step is optimized to determine protein profiles. The first, processed SBM products were extracted in buffer containing 2-mercaptoethanol, followed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. However, this method did not extract the total protein. The protein profiles extracted using 4 types of solvents were compared to maximize the extraction efficiency of the samples. Among the 4 solvents, urea could extract up to 90% of the proteins and showed the highest efficiency compared with water (up to 30%) and buffer system (up to 40%). Thus, an optimal and efficient extraction method for application in the evaluation of total protein profiles of processed SBM products was identified.

加工豆粕（SBM）产品旨在减少SBM中限制营养的抗营养因子（ANF）。为了评估加工过程中基于蛋白质的ANF和分子变化，确定总蛋白图谱以确定ANF的存在以及加工的影响（例如加热和水解/发酵）是有帮助的。使用一维凝胶电泳进行详细的蛋白质组学分析可能会有所帮助。但是，在此步骤之前，必须优化蛋白质提取。在这项研究中，蛋白质提取步骤经过优化以确定蛋白质谱。首先将加工后的SBM产物萃取到含有2-巯基乙醇的缓冲液中，然后进行十二烷基硫酸钠-聚丙烯酰胺凝胶电泳。但是，这种方法不能提取总蛋白。比较了使用4种类型的溶剂提取的蛋白质谱，以最大程度地提取样品。在这四种溶剂中，尿素最多可提取90％的蛋白质，与水（最多30％）和缓冲系统（最多40％）相比，其效率最高。因此，确定了一种最佳有效的提取方法，可用于评估加工的SBM产品的总蛋白谱。