Changes in quality characteristics of shrimp (Penaeus chinensis) during refrigerated storage and their correlation with protein degradation

小虾 食品科学 蛋白质降解 降级(电信) 相关系数 化学 食物腐败 蛋白质质量 生物 生物化学 渔业 细菌 数学 计算机科学 统计 电信 遗传学
作者
Wenya Xu,Qianyun Ma,Jianfeng Sun,Yanlei Li,Jie Wang,Yiwei Tang,Yaqiong Liu,Jianlou Mu,Wenxiu Wang
出处
期刊:Journal of Food Composition and Analysis [Elsevier BV]
卷期号:114: 104773-104773 被引量:18
标识
DOI:10.1016/j.jfca.2022.104773
摘要

Shrimp are highly prone to spoilage during refrigerated storage. Systematic assessment of shrimp protein degradation and quality loss during refrigerated storage is essential for optimizing storage of shrimps. In this study, protein biochemical characteristics and quality indicators of shrimp during refrigerated storage at 4 °C were assessed, and back-propagation artificial neural networks (BP-ANNs) were used to elucidate correlations of quality characteristics with protein degradation. With increasing storage time, Ca2+-ATPase activity, total amino acids, sulfhydryl group values, elasticity, and stickiness decreased, whereas protein carbonyl group values, total volatile base nitrogen content, and biogenic amine content increased. Furthermore, SDS-PAGE and transmission electron microscopy revealed protein degradation and damage to shrimp muscle microstructure during storage. With protein degradation characteristics as input values and quality indicators as output values, BP-ANNs models were established to analyze their correlation. A high correlation coefficient of 0.9654 and low mean square error of 0.0069 were obtained, indicating that BP-ANN can reliably illustrate the correlation between protein degradation and shrimp loss. Our results provided basic data and technical support for the intelligent storage of shrimp.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Ava应助年轻小之采纳,获得10
刚刚
情怀应助xueyu采纳,获得10
刚刚
慕青应助科研通管家采纳,获得30
1秒前
Jasper应助科研通管家采纳,获得10
1秒前
慕青应助科研通管家采纳,获得10
1秒前
SYLH应助科研通管家采纳,获得20
1秒前
MchemG应助科研通管家采纳,获得10
1秒前
FashionBoy应助科研通管家采纳,获得10
1秒前
MchemG应助科研通管家采纳,获得10
1秒前
MchemG应助科研通管家采纳,获得10
1秒前
MchemG应助科研通管家采纳,获得10
1秒前
Lucas应助科研通管家采纳,获得10
2秒前
SYLH应助科研通管家采纳,获得30
2秒前
科研通AI2S应助科研通管家采纳,获得10
2秒前
JJ发布了新的文献求助10
3秒前
Nugget发布了新的文献求助10
3秒前
邓紫依发布了新的文献求助10
3秒前
4秒前
4秒前
直率的问筠完成签到,获得积分10
5秒前
不发SCI不改名完成签到,获得积分10
5秒前
6秒前
7秒前
柯睿渊完成签到,获得积分10
7秒前
独特乘云完成签到,获得积分10
7秒前
贾克斯发布了新的文献求助10
7秒前
tlh完成签到 ,获得积分10
8秒前
陈彦滨完成签到 ,获得积分10
8秒前
9秒前
11秒前
11秒前
css完成签到,获得积分10
11秒前
Liufgui应助Re采纳,获得20
11秒前
Nugget完成签到,获得积分10
11秒前
yar应助潇湘雪月采纳,获得10
12秒前
宇宇发布了新的文献求助10
12秒前
shufessm完成签到,获得积分0
14秒前
14秒前
18秒前
幸福大白发布了新的文献求助30
18秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 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 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989406
求助须知:如何正确求助?哪些是违规求助? 3531522
关于积分的说明 11254187
捐赠科研通 3270174
什么是DOI,文献DOI怎么找? 1804901
邀请新用户注册赠送积分活动 882105
科研通“疑难数据库(出版商)”最低求助积分说明 809174