A comprehensive review of the spoilage of shrimp and advances in various indicators/sensors for shrimp spoilage monitoring

食物腐败 小虾 食品科学 生物 自溶(生物学) 尸僵 渔业 生物化学 细菌 遗传学
作者
Joyati Das,Hari Niwas Mishra
出处
期刊:Food Research International [Elsevier BV]
卷期号:173 (Pt 1): 113270-113270 被引量:110
标识
DOI:10.1016/j.foodres.2023.113270
摘要

Shrimp is a popular internationally traded shellfish due to its unique taste, texture, and nutritional value. Shrimp is highly perishable because it has enough free amino acids, high moisture levels, non-nitrogenous compounds used for microbial growth, and melanosis. Shrimp spoilage after death is caused by various reasons, like autolysis (endogenous proteinases actions during shrimp storage), growth of spoilage microorganisms, ATP degradation, melanin formation, and lipid peroxidation. A microbial byproduct, total volatile basic nitrogen, is one of the major reasons for the generation of foul odors from shrimp spoilage. Shrimp freshness monitoring is crucial for market sellers and exporters. Traditional methods for estimating shrimp freshness are expensive and inaccessible to the general public. Sensors are rapid, sensitive, selective, and portable food toxins' detection tools, devoid of expensive instruments, skilled people, sample pretreatment, and a long detection time. This review addresses shrimp spoilage causes. The mechanisms of different stages of shrimp spoilage after death, like rigor mortis, dissolution of rigor mortis, autolysis, and microbial spoilage mechanisms, are discussed. This review highlights the last five years' advances in shrimp freshness detection sensors and indicators like colorimetric pH indicators, fluorescence sensors, electronic noses, and biosensors, their working principles, and their sensitivities. Commercially available indicators and sensors for shrimp spoilage monitoring are also discussed. A review highlighting the applications of the different sensors and indicators for monitoring shrimp freshness is unavailable to date. Challenges and future perspectives in this field are explained at the end.
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
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
刚刚
刚刚
zdzz完成签到,获得积分10
1秒前
2秒前
3秒前
3秒前
4秒前
dhx7530发布了新的文献求助10
4秒前
乐呦发布了新的文献求助10
4秒前
Supreme发布了新的文献求助10
5秒前
Ec发布了新的文献求助10
5秒前
5秒前
1111发布了新的文献求助10
6秒前
6秒前
武宗文发布了新的文献求助10
7秒前
可靠的寒风完成签到,获得积分10
7秒前
CipherSage应助一只CY采纳,获得10
7秒前
丘比特应助每天都快乐采纳,获得10
7秒前
lieditongxu发布了新的文献求助10
7秒前
茉莉发布了新的文献求助10
8秒前
Alice001完成签到 ,获得积分10
8秒前
9秒前
小蘑菇应助莫莫采纳,获得10
9秒前
9秒前
9秒前
9秒前
10秒前
小圆不圆发布了新的文献求助10
11秒前
1111完成签到,获得积分20
12秒前
外向寻雪完成签到,获得积分10
12秒前
科目三应助hen23333采纳,获得10
13秒前
13秒前
13秒前
13秒前
董昌铭完成签到 ,获得积分10
14秒前
ZYBKYT完成签到,获得积分10
14秒前
暴躁的酸奶完成签到,获得积分10
14秒前
如约而至发布了新的文献求助10
14秒前
woshiyy发布了新的文献求助10
15秒前
Xtq完成签到,获得积分10
15秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6490966
求助须知:如何正确求助?哪些是违规求助? 8289081
关于积分的说明 17686739
捐赠科研通 5582003
什么是DOI,文献DOI怎么找? 2914885
邀请新用户注册赠送积分活动 1892033
关于科研通互助平台的介绍 1749720