Optimization of protein extraction from Gelidiella acerosa by carbohydrases using response surface methodology

被引：7

作者：

Jamshidi, Majideh ^{[1
]}

Keramat, Javad ^{[1
]}

Hamdami, Nasser ^{[1
]}

Farhadian, Omidvar ^{[2
]}

机构：

[1] Isfahan Univ Technol, Dept Food Sci & Technol, Coll Agr, Esfahan, Iran

[2] Isfahan Univ Technol, Dept Nat Resources, Esfahan, Iran

来源：

PHYCOLOGICAL RESEARCH | 2018年 / 66卷 / 03期

关键词：

Celluclast; 1; 5L; extraction of protein; macroalgae; Viscozyme L; PALMARIA-PALMATA RHODOPHYTA; SEAWEEDS; PROTOPLASTS; ALGAE; SUGAR; DNA;

D O I：

10.1111/pre.12226

中图分类号：

Q17 [水生生物学];

学科分类号：

071004 ;

摘要：

In this study, application of response surface methodology for enzymic pretreatment optimization of Gelidiella acerosa was investigated in order to improve the extraction of algal proteins using Viscozyme L and Celluclast 1.5L. The total protein, soluble proteins and reducing sugar recovery in the water-soluble fraction were studied in relation to the hydrolysis time, type and concentration of the enzymes. Enzymatic digestion appeared to be an effective treatment for protein extraction. While enzyme hydrolysis by Celluclast 1.5L was able to facilitate the protein extraction, it was a relatively inefficient way to improve protein extraction yield, in comparison with Viscozyme L. The optimum conditions for protein extraction was found to be hydrolysis by 2.8LmL(-1) of Viscozyme L for 12h.

引用

页码：231 / 237

页数：7

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