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投稿时间:2022-05-12
投稿时间:2022-05-12
中文摘要: 米糠蛋白是一种优质的植物蛋白质资源,因其提取率、溶解度不高而造成资源浪费,该研究旨在优化米糠蛋白提取工艺,提高蛋白提取率,改善米糠资源浪费、提高米糠资源利用率。该文采用超微联合超声提取米糠蛋白,并探究各因素对米糠蛋白提取率的影响;同时利用响应面优化,确定米糠蛋白最佳提取工艺,并对比超微联合超声提取工艺与传统碱溶酸沉提取工艺下米糠蛋白的溶解度。结果表明,各因素中料液比、超声时间和提取时间对米糠蛋白提取率有显著性影响(P<0.05),以米糠蛋白提取率为响应值,优化后得到米糠蛋白最佳提取工艺:料液比1∶57(g/mL)、提取时间4 h、超声时间9 min。在此工艺下,米糠蛋白提取率为(64.31±0.18)%,相比传统碱溶酸沉工艺提高了41.62%。经蛋白质溶解性测定,发现最佳提取工艺所得米糠蛋白的溶解度为25.49%。因此,超微联合超声提取能极显著提高米糠蛋白提取率,且所得蛋白的溶解度相比优化前有明显提升。
Abstract:Rice bran is anutritional by-product of brown rice,which contains richrice bran protein,one of the high-quality vegetable proteins.However,the low extraction yield and low solubilityof the protein result in a waste ofresources.Therefore,it is of great significance to study the extraction process.This study aimed to improve the extraction yield of rice bran protein for utilization.This study extracted rice bran protein was by ultrafine grinding combined with ultrasound and explored the effects of extraction conditions on the yield.The extraction conditions were optimized by response surface methodology.Furthermore,the solubility of rice bran protein was compared between the optimized extraction process and the conventional process(alkali-extraction and acid-precipitation).The results showed that solid-liquid ratio,ultrasound time,and extraction time had significant effects on the yield of rice bran protein(P<0.05).The optimum extraction conditions of rice bran protein were as follows:solid-liquid ratio 1 ∶57(g/mL),extraction for 4 h and ultrasound for 9 min.Under these conditions,the yield of rice bran protein reached(64.31±0.18)%,which was 41.62%higher than that of the conventional process.The solubility of the rice bran protein extracted with the optimized process was 25.49%,which was significantly higher than that of the protein obtained with the conventional process.Ultrasound combined with ultrafine grinding can significantly increase the extraction yield of rice bran protein,which provides theoretical reference for the extraction and utilization of rice bran protein.
文章编号:202219015 中图分类号: 文献标志码:
基金项目:国家自然科学基金项目(32172259);河南省优秀青年科学基金项目(212300410033)
Author Name | Affiliation |
YI Jia,LIU Kun-lun* | College of Food Science and Engineering,Henan University of Technology,Zhengzhou 450001,Henan,China |
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