亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue—Critical Overview

近红外光谱 光谱学 舌头
作者
Balkis Aouadi,John-Lewis Zinia Zaukuu,Flora Vitalis,Zsanett Bodor,O. Fehér,Zoltan Gillay,György Bázár,Zoltan Kovacs
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:20 (19): 5479-5479 被引量:29
标识
DOI:10.3390/s20195479
摘要

Amid today’s stringent regulations and rising consumer awareness, failing to meet quality standards often results in health and financial compromises. In the lookout for solutions, the food industry has seen a surge in high-performing systems all along the production chain. By virtue of their wide-range designs, speed, and real-time data processing, the electronic tongue (E-tongue), electronic nose (E-nose), and near infrared (NIR) spectroscopy have been at the forefront of quality control technologies. The instruments have been used to fingerprint food properties and to control food production from farm-to-fork. Coupled with advanced chemometric tools, these high-throughput yet cost-effective tools have shifted the focus away from lengthy and laborious conventional methods. This special issue paper focuses on the historical overview of the instruments and their role in food quality measurements based on defined food matrices from the Codex General Standards. The instruments have been used to detect, classify, and predict adulteration of dairy products, sweeteners, beverages, fruits and vegetables, meat, and fish products. Multiple physico-chemical and sensory parameters of these foods have also been predicted with the instruments in combination with chemometrics. Their inherent potential for speedy, affordable, and reliable measurements makes them a perfect choice for food control. The high sensitivity of the instruments can sometimes be generally challenging due to the influence of environmental conditions, but mathematical correction techniques exist to combat these challenges.
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
量子星尘发布了新的文献求助30
15秒前
25秒前
小白发布了新的文献求助10
30秒前
43秒前
柚子蟹发布了新的文献求助30
49秒前
53秒前
汉堡包应助Eileen采纳,获得10
1分钟前
ljx完成签到 ,获得积分10
1分钟前
柚子蟹完成签到,获得积分10
1分钟前
Eileen完成签到 ,获得积分10
1分钟前
田様应助是多少采纳,获得10
1分钟前
左左曦完成签到,获得积分10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得30
1分钟前
科研通AI5应助科研通管家采纳,获得10
1分钟前
归尘应助科研通管家采纳,获得70
1分钟前
1分钟前
寒冷的寻菱完成签到,获得积分10
2分钟前
2分钟前
可爱的函函应助zhuming采纳,获得10
2分钟前
2分钟前
自信号厂完成签到 ,获得积分10
2分钟前
落叶捎来讯息完成签到 ,获得积分10
2分钟前
2分钟前
3分钟前
惠1完成签到,获得积分20
3分钟前
归尘应助科研通管家采纳,获得10
3分钟前
浮游应助科研通管家采纳,获得10
3分钟前
浮游应助科研通管家采纳,获得10
3分钟前
jhx完成签到,获得积分20
3分钟前
3分钟前
4分钟前
jhx发布了新的文献求助10
4分钟前
歌儿完成签到 ,获得积分10
4分钟前
科研通AI6应助倪妮采纳,获得10
4分钟前
4分钟前
4分钟前
小阿博完成签到,获得积分10
4分钟前
小白完成签到,获得积分10
4分钟前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
TOWARD A HISTORY OF THE PALEOZOIC ASTEROIDEA (ECHINODERMATA) 1000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
The Social Work Ethics Casebook(2nd,Frederic G. R) 600
Handbook of Social and Emotional Learning 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5116209
求助须知:如何正确求助?哪些是违规求助? 4322928
关于积分的说明 13469721
捐赠科研通 4155138
什么是DOI,文献DOI怎么找? 2277014
邀请新用户注册赠送积分活动 1278886
关于科研通互助平台的介绍 1216893