Studies on tea protein extraction using alkaline and enzyme methods

化学 萃取(化学) 色谱法 蛋白质纯化 产量(工程) 生物化学 冶金 材料科学
作者
Lianqing Shen,Xiangyang Wang,Zhongying Wang,Yuanfeng Wu,Jianshe Chen
出处
期刊:Food Chemistry [Elsevier]
卷期号:107 (2): 929-938 被引量:137
标识
DOI:10.1016/j.foodchem.2007.08.047
摘要

The extraction of proteins from tea leave pulps, using alkaline and enzyme methods, were investigated in this work. Altogether four enzymes (neutrase, alcalase, protamex and flavourzyme) were examined for tea protein extraction. It was found that an alkaline method produced a high protein yield (56.4% extraction rate). The use of an enzyme alone appeared to be less effective in extracting tea protein (less than 20% extraction rate). However, a combination of two enzymes (for example, alcalase and protamex at a 1:3 weight ratio) became much more capable in extracting protein and led to a much higher extraction rate (as high as 47.8%). Various extraction conditions, such as volume–weight ratio between the extraction solution and the weight of dry tea leave pulps (V/W), the extraction time (t), pH, temperature (T), agent concentration (c) have been investigated for their influences. Optimum combinations of extraction conditions were obtained using the orthogonal analysis technique. The extracted tea protein was further purified for the analysis of molecular weight distribution and amino acid compositions. It was found that tea protein was composed of at least seven different types of proteins and had amino acid composition more or less similar to that of soy protein.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
4秒前
4秒前
苏源智完成签到,获得积分10
4秒前
5秒前
MmMm发布了新的文献求助10
5秒前
6秒前
擎天完成签到,获得积分20
6秒前
李爱国应助刻苦的惜梦采纳,获得10
7秒前
今后应助大力的天与采纳,获得10
7秒前
lsyt应助面向杂志编论文采纳,获得10
10秒前
擎天发布了新的文献求助10
10秒前
10秒前
11秒前
野性的香寒完成签到,获得积分10
11秒前
super发布了新的文献求助10
12秒前
Jenny完成签到,获得积分10
12秒前
13秒前
hihi发布了新的文献求助10
15秒前
科研通AI2S应助花痴的怀亦采纳,获得10
16秒前
lshchoo发布了新的文献求助10
16秒前
17秒前
lan完成签到,获得积分10
17秒前
17秒前
18秒前
18秒前
在望完成签到,获得积分10
22秒前
惊蛰发布了新的文献求助10
22秒前
super完成签到,获得积分10
22秒前
很傻的狗完成签到,获得积分10
25秒前
26秒前
孤独的熊猫完成签到,获得积分10
26秒前
27秒前
28秒前
30秒前
31秒前
秋雨秋秋完成签到,获得积分20
31秒前
32秒前
33秒前
ZJ发布了新的文献求助10
35秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Love and Friendship in the Western Tradition: From Plato to Postmodernity 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2549338
求助须知:如何正确求助?哪些是违规求助? 2176850
关于积分的说明 5606684
捐赠科研通 1897721
什么是DOI,文献DOI怎么找? 947187
版权声明 565447
科研通“疑难数据库(出版商)”最低求助积分说明 504036