Emerging strategies in fluorescent aptasensor toward food hazard aflatoxins detection

黄曲霉毒素 费斯特共振能量转移 纳米技术 食品安全 荧光各向异性 荧光 计算机科学 生化工程 化学 食品科学 材料科学 生物技术 工程类 生物 物理 量子力学
作者
Mengke Zhang,Xiaodong Guo
出处
期刊:Trends in Food Science and Technology [Elsevier BV]
卷期号:129: 621-633 被引量:33
标识
DOI:10.1016/j.tifs.2022.11.013
摘要

Aflatoxins contamination, one of the most severe food safety issue, has received global concern for everyone's health. Fluorescent aptasensor, as a rising sensing strategy, have opened up innovative platform for monitoring and trace levels of aflatoxins thanks to their ease of operation, rapid response, accurate determination, and high sensitivity and selectivity, as well as the promising potential in point-of-care (POC) testing. Nevertheless, the comprehensive review on fluorescent aptasensors for aflatoxins (mainly AFB1 and AFM1) spanning 2018–2022 has not yet been reported. In this article, we first introduce and discuss various fluorescent response mechanisms (such as förster resonance energy transfer (FRET), inner filter effect (IFE), aggregation-induced emission (AIE), as well as fluorescence anisotropy (FA) and fluorescence polarization (FP) systems). In addition, latest applications of fluorescent aptasensors for aflatoxins are critically reviewed in detail. Finally, advanced nanomaterials for improved analytical performance is highlighted, together with the challenges and future trends. Fluorescent aptasensors have been well-established for aflatoxins determination to ensure food safety. All these achievements make fluorescent aptasensing a promising candidate in POC testing. However, most researchers only pay much attention to the construction and application of simple aptasensor. The in-depth direction should focus on the mechanism research like conformation change, binding sites, interaction kinetics, affinity determination, fluorescent sensing protocols. Additionally, numerous methods are still applied in the laboratory, and there are few devices that suitable for POC testing. Future direction should aim at developing integrating miniaturized devices and even their commercialized applications.
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
赵雨霏完成签到 ,获得积分10
1秒前
漂漂亮亮大番薯完成签到,获得积分10
1秒前
儿学化学打断腿完成签到,获得积分10
2秒前
cdercder应助科研通管家采纳,获得10
3秒前
大个应助科研通管家采纳,获得10
3秒前
hairgod完成签到,获得积分10
3秒前
4秒前
KrisTina完成签到 ,获得积分10
6秒前
康康舞曲完成签到 ,获得积分10
6秒前
7秒前
杂菜流完成签到,获得积分10
10秒前
Again发布了新的文献求助10
10秒前
k001boyxw发布了新的文献求助10
11秒前
16秒前
Again完成签到,获得积分10
16秒前
7788完成签到,获得积分10
21秒前
晚灯君完成签到 ,获得积分10
26秒前
爆米花应助海猫食堂采纳,获得10
28秒前
数乱了梨花完成签到 ,获得积分10
29秒前
光头强完成签到,获得积分10
29秒前
k001boyxw完成签到,获得积分10
29秒前
吴旭东完成签到,获得积分10
29秒前
夜信完成签到,获得积分10
30秒前
hcdb完成签到,获得积分10
31秒前
凌霄完成签到 ,获得积分10
32秒前
像猫的狗完成签到 ,获得积分10
35秒前
39秒前
40秒前
40秒前
思源应助毛毛弟采纳,获得10
41秒前
Zhao完成签到 ,获得积分10
41秒前
胡星星完成签到 ,获得积分10
42秒前
43秒前
醉熏的天与完成签到,获得积分10
43秒前
44秒前
王忠凯发布了新的文献求助10
45秒前
alixy完成签到,获得积分10
47秒前
chengzugen发布了新的文献求助10
47秒前
厚朴大师完成签到,获得积分10
47秒前
judy完成签到,获得积分10
49秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Engineering the boosting of the magnetic Purcell factor with a composite structure based on nanodisk and ring resonators 240
Study of enhancing employee engagement at workplace by adopting internet of things 200
Minimum Bar Spacing as a Function of Bond and Shear Strength 200
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 3837587
求助须知:如何正确求助?哪些是违规求助? 3379705
关于积分的说明 10510152
捐赠科研通 3099308
什么是DOI,文献DOI怎么找? 1707062
邀请新用户注册赠送积分活动 821402
科研通“疑难数据库(出版商)”最低求助积分说明 772615