已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

Recent advances of MOF-based SERS substrates in quantitative analysis of food contaminants: a review

污染 纳米技术 环境化学 环境科学 生化工程 材料科学 化学 生物 工程类 生态学
作者
Ying Gu,Xujun Pu,Jinxin Chen,Lunzhao Yi,Junlong Bi,Fengmin Duan,Kun Ge
出处
期刊:Analyst [Royal Society of Chemistry]
卷期号:149 (20): 4997-5013 被引量:22
标识
DOI:10.1039/d4an00897a
摘要

Advancements in food-contaminant detection technologies can significantly improve food safety and human health. Surface-enhanced Raman spectroscopy (SERS) has become the preferred analytical method for food-safety detection owing to its numerous advantages, which include unique 'molecular fingerprinting' features, high sensitivity, rapid responses, and non-invasive characteristics. Raman-signal enhancements rely heavily on high-performance SERS substrates. In recent years, metal-organic framework (MOF)-based SERS substrates have gained attention as promising candidates for developing SERS technologies owing to their distinctive structures and functions. This review comprehensively examines recent advances in MOF-based SERS substrates, focusing on the main role of MOFs in SERS substrates as well as their typical categories and structures, construction methods, and representative applications in food-contaminant detection. First, the primary roles of MOFs in SERS substrates are briefly introduced. Next, a comprehensive overview of the typical categories and structures of MOF-based SERS substrates is discussed. Subsequently, a fundamental view of the general construction methods for MOF-based SERS substrates is presented. Next, the main applications of MOF-based SERS substrates for food-contaminant detection are summarised. Finally, challenges and perspectives, including improvements in SERS performance and stability, and the unification of SERS mechanisms, are addressed and discussed.
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
孤独书白完成签到,获得积分10
刚刚
1秒前
KK发布了新的文献求助20
2秒前
张冉发布了新的文献求助10
2秒前
5秒前
SciGPT应助vsgdg采纳,获得10
5秒前
孤独书白发布了新的文献求助10
5秒前
李谨儒完成签到 ,获得积分10
6秒前
脑洞疼应助Awenst12采纳,获得10
7秒前
所所应助Gohone采纳,获得10
7秒前
科研通AI6.4应助贤惠的青采纳,获得10
8秒前
8秒前
tomf完成签到,获得积分0
9秒前
王木木发布了新的文献求助10
10秒前
macon完成签到,获得积分10
10秒前
leviry完成签到,获得积分20
11秒前
喜悦冬易完成签到,获得积分10
11秒前
12秒前
欢呼的世立完成签到 ,获得积分10
12秒前
香蕉觅云应助房产中介采纳,获得10
12秒前
李爱国应助重要的夏天采纳,获得10
14秒前
15秒前
15秒前
16秒前
saner发布了新的文献求助10
17秒前
积极松完成签到 ,获得积分10
20秒前
GEM完成签到,获得积分10
21秒前
科研通AI6.2应助汪佳璇采纳,获得10
21秒前
乐乐应助典雅的念真采纳,获得80
21秒前
DW应助小玲子采纳,获得10
21秒前
传奇3应助转眼如烟采纳,获得10
22秒前
涵涵完成签到 ,获得积分10
22秒前
22秒前
斯文的白玉应助欣喜毛巾采纳,获得10
23秒前
24秒前
小蘑菇应助fafa采纳,获得10
27秒前
左鞅完成签到 ,获得积分10
27秒前
李健的粉丝团团长应助WHG采纳,获得10
28秒前
上官若男应助LM采纳,获得10
29秒前
海棠完成签到 ,获得积分10
29秒前
高分求助中
(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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7765313
求助须知:如何正确求助?哪些是违规求助? 9309596
关于积分的说明 20311716
捐赠科研通 7350111
什么是DOI,文献DOI怎么找? 3314808
关于科研通互助平台的介绍 2464181
邀请新用户注册赠送积分活动 2329240