SERS-based immunoassay for amplified detection of food hazards: Recent advances and future trends

免疫分析 纳米技术 计算机科学 生化工程 材料科学 工程类 医学 抗体 免疫学
作者
Jinrui Shan,Longhua Shi,Yuechun Li,Xuechi Yin,Shaochi Wang,Sijie Liu,Jing Sun,Daohong Zhang,Yanwei Ji,Jianlong Wang
出处
期刊:Trends in Food Science and Technology [Elsevier]
卷期号:140: 104149-104149 被引量:21
标识
DOI:10.1016/j.tifs.2023.104149
摘要

It is an enormous figure that food fraud causes losses to the global food industry every year. Timely and accurate food authentication technology is a vital means to prevent food fraud. Novel immunoassays, especially surface-enhanced Raman scattering (SERS)-based immunoassays, with terrific specificity and unique charm of ultra-high sensitivity and spectral resolution, have attracted widespread interest in the detection of food hazards. Ultra-sensitivity, fingerprint recognition, and excellent multi-detection capability are the advantages of SERS-based immunoassays, which will help advance food safety regulation. Tracking the timeline of the independent evolution and combination of immunoassay and SERS, we provide a systemic view to describe the trends of surface-enhanced Raman scattering (SERS)-based immunoassays. Moreover, an overview of the enhancement mechanisms of SERS and the classification of its substrate structures, both single and composite, is presented. In particular, the different types of SERS immunoassays are classified, including competitive and non-competitive, labeled and label-free. Different SERS immune sensing strategies and the advantages of their applications, which are essential for further innovation, are discussed. Finally, the summary of representative SERS-based immunoassay applications for food hazard detection is followed by an outlook for research in this extremely promising frontier field. SERS-based immunoassay has become a forceful analytical means for monitoring harmful substances in food, offering new hope for food safety regulation. However, much work remains to be done to commercialize the concept study successfully.

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
郭3完成签到 ,获得积分10
刚刚
joxes发布了新的文献求助10
1秒前
wouaa完成签到,获得积分20
1秒前
Ning发布了新的文献求助10
2秒前
下雨这天完成签到,获得积分10
3秒前
zzihy完成签到,获得积分10
3秒前
3秒前
周士乐发布了新的文献求助10
4秒前
sdsa完成签到,获得积分10
4秒前
4秒前
ayawbb完成签到,获得积分10
4秒前
5秒前
zzzzz发布了新的文献求助10
6秒前
Jasper应助逝水无痕采纳,获得10
7秒前
7秒前
研友_VZG7GZ应助喔喔采纳,获得10
7秒前
8秒前
共享精神应助dildil采纳,获得20
8秒前
奥利奥利奥完成签到 ,获得积分10
9秒前
叶艳完成签到 ,获得积分10
10秒前
10秒前
Twonej应助李倩采纳,获得30
10秒前
11111555发布了新的文献求助10
11秒前
哈哈哈发布了新的文献求助10
13秒前
wqq发布了新的文献求助10
14秒前
Ning完成签到,获得积分10
14秒前
15秒前
15秒前
笃定发布了新的文献求助10
15秒前
海咲umi发布了新的文献求助10
16秒前
酷酷银耳汤完成签到,获得积分10
16秒前
17秒前
17秒前
wenqiqi发布了新的文献求助10
19秒前
搜集达人应助雪白冷荷采纳,获得10
20秒前
神奇海螺完成签到,获得积分10
20秒前
喔喔发布了新的文献求助10
21秒前
NexusExplorer应助They_say采纳,获得10
21秒前
joxes完成签到,获得积分10
21秒前
努力做科研完成签到,获得积分10
21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
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
The Social Psychology of Citizenship 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5912317
求助须知:如何正确求助?哪些是违规求助? 6832531
关于积分的说明 15785638
捐赠科研通 5037410
什么是DOI,文献DOI怎么找? 2711679
邀请新用户注册赠送积分活动 1662047
关于科研通互助平台的介绍 1603966