Metal–oxide–semiconductor resistive gas sensors for fish freshness detection

电子鼻 食物腐败 计算机科学 工艺工程 环境科学 电阻式触摸屏 生化工程 纳米技术 材料科学 工程类 人工智能 渔业 生物 遗传学 细菌 计算机视觉
作者
Kaidi Wu,Marc Debliquy,Chao Zhang
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:22 (2): 913-945 被引量:25
标识
DOI:10.1111/1541-4337.13095
摘要

Abstract Fish are prone to spoilage and deterioration during processing, storage, or transportation. Therefore, there is a need for rapid and efficient techniques to detect and evaluate fish freshness during different periods or conditions. Gas sensors are increasingly important in the qualitative and quantitative evaluation of high‐protein foods, including fish. Among them, metal–oxide–semiconductor resistive (MOSR) sensors with advantages such as low cost, small size, easy integration, and high sensitivity have been extensively studied in the past few years, which gradually show promising practical application prospects. Herein, we take the detection, classification, and assessment of fish freshness as the actual demand, and summarize the physical and chemical changes of fish during the spoilage process, the volatile marker gases released, and their production mechanisms. Then, we introduce the advantages, performance parameters, and working principles of gas sensors, and summarize the MOSR gas sensors aimed at detecting different kinds of volatile marker gases of fish spoiling in the last 5 years. After that, this paper reviews the research and application progress of MOSR gas sensor arrays and electronic nose technology for various odor indicators and fish freshness detection. Finally, this review points out the multifaceted challenges (sampling system, sensing module, and pattern recognition technology) faced by the rapid detection technology of fish freshness based on metal oxide gas sensors, and the potential solutions and development directions are proposed from the view of multidisciplinary intersection.
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
追寻夏烟完成签到 ,获得积分10
刚刚
燕小冷完成签到,获得积分20
刚刚
zxm完成签到,获得积分10
3秒前
yt完成签到,获得积分10
3秒前
傻瓜完成签到 ,获得积分10
4秒前
迷人的小土豆完成签到,获得积分10
5秒前
OAHCIL完成签到 ,获得积分10
5秒前
852应助高木同学采纳,获得10
7秒前
lbx完成签到,获得积分10
8秒前
wanci应助青堤采纳,获得30
8秒前
byron完成签到 ,获得积分10
10秒前
和谐曼凝完成签到 ,获得积分10
10秒前
六初完成签到 ,获得积分10
10秒前
111完成签到,获得积分10
11秒前
lshao完成签到 ,获得积分10
12秒前
脑洞疼应助kkscanl采纳,获得10
16秒前
17秒前
aaronzhu1995完成签到,获得积分10
17秒前
学术小垃圾完成签到,获得积分10
18秒前
丰富的大地完成签到,获得积分10
19秒前
坚定龙猫完成签到,获得积分10
19秒前
孤独如曼完成签到 ,获得积分10
20秒前
波里舞完成签到 ,获得积分10
20秒前
曙光森林完成签到,获得积分10
21秒前
...完成签到 ,获得积分0
21秒前
harden9159完成签到,获得积分10
22秒前
Brady6完成签到,获得积分10
22秒前
22秒前
如初完成签到,获得积分10
23秒前
俏皮的采波完成签到,获得积分10
23秒前
高木同学发布了新的文献求助10
24秒前
雨点完成签到,获得积分10
24秒前
andrew完成签到,获得积分10
26秒前
小晴天完成签到,获得积分10
26秒前
qihuan152应助LANKE采纳,获得200
27秒前
开心向真完成签到,获得积分10
28秒前
子羽完成签到,获得积分10
28秒前
Sunny完成签到 ,获得积分10
30秒前
Mao完成签到,获得积分10
31秒前
香菜皮蛋完成签到 ,获得积分10
31秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Mobilization, center-periphery structures and nation-building 600
Technologies supporting mass customization of apparel: A pilot project 450
China—Art—Modernity: A Critical Introduction to Chinese Visual Expression from the Beginning of the Twentieth Century to the Present Day 430
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3792652
求助须知:如何正确求助?哪些是违规求助? 3336874
关于积分的说明 10282421
捐赠科研通 3053766
什么是DOI,文献DOI怎么找? 1675684
邀请新用户注册赠送积分活动 803701
科研通“疑难数据库(出版商)”最低求助积分说明 761510