Engineered nanomaterials‐based sensing systems for assessing the freshness of meat and aquatic products: A state‐of‐the‐art review

纳米材料 环境科学 纳米技术 食品安全 生化工程 材料科学 化学 食品科学 工程类
作者
Xiaoyan Duan,Zhuoran Li,Lei Wang,Hong Lin,Kaiqiang Wang
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:22 (1): 430-450 被引量:68
标识
DOI:10.1111/1541-4337.13074
摘要

Meat and aquatic products are susceptible to spoilage during distribution, transportation, and storage, increasing the urgency of freshness evaluation. Engineered nanomaterials (ENMs) typically with the diameter in the range of 1-100 nm exhibit fascinating physicochemical properties. ENMs-based sensing systems have received extensive attention for food freshness assessment due to the advantages of being fast, simple, and sensitive. This review focuses on summarizing the recent application of ENMs-based sensing systems for food freshness detection. First, chemical indicators related to the freshness of meat and aquatic products are described. Then, how to apply the ENMs including noble metal nanomaterials, metal oxide nanomaterials, carbon nanomaterials, and metal-organic frameworks for the construction of different sensing systems were described. Besides, the recent advance in ENMs-based colorimetric, fluorescent, electrochemical, and surface-enhanced Raman spectroscopy sensing systems for assessing the freshness of meat and aquatic products were outlined. Finally, the challenges and future research perspectives for the application of ENMs-based sensing systems were discussed. The ENMs-based sensing systems have been demonstrated as effective tools for freshness evaluation. The sensing performance of ENMs employed in different sensing systems depends on their composition, size, shape, and stability of nanoparticles. For the real application of ENMs in food industries, the risks and regulatory issues associated with nanomaterials need to be further considered. With the continuous development of nanomaterials and sensing devices, the ENMs-based sensors are expected to be applied in-field for rapid detection of the freshness of meat and aquatic products in the future.
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
2秒前
一三二五七完成签到,获得积分10
3秒前
脑洞疼的应助被邓布利利采纳,获得10
3秒前
DA发布了新的文献求助10
5秒前
留胡子的垣完成签到,获得积分10
7秒前
Scarlett完成签到,获得积分10
8秒前
lily完成签到,获得积分10
8秒前
peng完成签到,获得积分10
9秒前
9秒前
司马绮山完成签到,获得积分10
10秒前
潇潇完成签到,获得积分10
10秒前
11秒前
英俊的铭的应助被Cope采纳,获得10
12秒前
cuicui完成签到 ,获得积分10
12秒前
科研通AI6.2的应助被DA采纳,获得10
12秒前
Orange的应助被娇气的友易采纳,获得30
13秒前
无私斩完成签到,获得积分10
13秒前
朝颜关注了科研通微信公众号
15秒前
Sixy_完成签到 ,获得积分10
15秒前
慕青的应助被凡倾宇采纳,获得10
15秒前
mmnn完成签到 ,获得积分10
15秒前
华仔的应助被Firreia采纳,获得10
16秒前
清新的慕凝完成签到,获得积分10
16秒前
17秒前
优秀的冬衣完成签到,获得积分10
18秒前
vc发布了新的文献求助30
18秒前
ks完成签到,获得积分10
18秒前
Scarlett2完成签到,获得积分10
18秒前
加油加油完成签到 ,获得积分10
20秒前
LSQ47完成签到 ,获得积分10
22秒前
大富婆完成签到 ,获得积分10
22秒前
22秒前
子虚一尘完成签到,获得积分10
22秒前
吃吃吃啥啦完成签到 ,获得积分10
23秒前
egg2发布了新的文献求助10
23秒前
Sixy完成签到 ,获得积分10
26秒前
SQzy完成签到,获得积分10
26秒前
27秒前
纯真忆秋完成签到,获得积分10
28秒前
28秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Dawn of Philology 520
Organizational Behavior 510
Production Logging: Theoretical and Interpretive Elements 400
A primer on partial least squares structural equation modeling (PLS-SEM) (4th ed.) 310
中国器官捐献和移植发展报告(2024) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7820591
求助须知:如何正确求助?哪些是违规求助? 9347952
关于积分的说明 20544365
捐赠科研通 7413541
什么是DOI,文献DOI怎么找? 3332759
关于科研通互助平台的介绍 2478776
邀请新用户注册赠送积分活动 2352878