Optimisation of hydrolysis conditions for yellowfin tuna (Thunnus albacares) heads using alcalase enzyme

Author:

Denis M,Pham H D,Nguyen M V

Abstract

Abstract Fish protein hydrolysates contained small peptides and amino acids have many applications in food industry. The objective of the present study was to optimise the hydrolysis conditions (i.e., enzyme to substrate level, temperature and time) for preparing protein hydrolysates from yellowfin tuna heads using a complete composite design (CCD) of response surface methodology (RSM). The model equation was proposed with regard to the effects of enzyme to substrate level, temperature and time on the degree of hydrolysis (DH) and protein solubility (PS). The results indicated that all the hydrolysis conditions had a significant effect (P < 0.05) on both the DH and PS. An enzyme to substrate level of 0.82% (v/w), temperature of 55.0 °C and hydrolysing time of 7 h were found to be the optimum conditions to obtain the highest DH (28.0%) and PS (89.1%) using alcalase. The regression coefficients observed during both experimental and validation runs for DH and PS were 0.9381 and 0.9613, respectively, showing the validity of prediction models.

Publisher

IOP Publishing

Subject

General Engineering

Reference20 articles.

1. Extraction optimisation and properties of collagen from yellowfin tuna (Thunnus albacare) dorsal skin;Woo;Food Hydrocoll,2008

2. Preparation and characterization of protein isolate from yellowfin tuna Thunnus albacares roe by isoelectric solubilization/precipitation process;Lee;Fish. Aquatic Sci.,2016

3. Fecundity regulation strategy of the yellowfin tuna (Thunnus albacares) in the Western Indian Ocean;Zudaire;Fish. Res.,2013

4. Degree of hydrolysis and free tryptophan content of skipjack tuna (Katsuwonus pelamis) protein hydrolysates produced with different type of industrial proteases;Herpandi;Int. Food Res. J.,2012

5. Marine waste utilization as a source of functional and health compounds;Shavandi;Adv. FoodNutr. Res.,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3