Smartphone-integrated ratiometric sensing platform based on dual-emitting electrospun MOF@[Ru(byp)3]2+ nanofibers for effective detection and adsorption of aflatoxin B1

检出限 静电纺丝 吸附 黄曲霉毒素 纳米纤维 荧光 材料科学 纳米技术 化学 分析化学(期刊) 色谱法 聚合物 光学 有机化学 食品科学 物理
作者
Ruiqing Sun,Ping Liu,Yongchao Ma,Qingli Yang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:488: 150943-150943 被引量:5
标识
DOI:10.1016/j.cej.2024.150943
摘要

A portable, sensitive detector for the rapid detection of aflatoxin B1 (AFB1) without using biomass has been a research focal point. However, the previously documented methods were seldom applied for the simultaneous detection and elimination of AFB1 in food. In this work, the blue emission of a metal–organic framework (MOF) was selected as the fluorescence response signal, and the red fluorescence of [Ru(bpy)3]2+ was used as the reference signal. A dual-mode electrospun nanofibers ratiometric fluorescence probe (MOF@[Ru(bpy)3]2+/PAN NFs) was constructed for the first time for the quantitative detection and adsorption of AFB1. Due to the large surface area of the porous PAN NFs, these could transport MOF@Ru. AFB1 exposure led to noticeable color shift from red to blue through electron transfer. The good linear ranged of the probe for AFB1 detection of 0.0–40.0 μM and a low limit of detection of 3.05 ppb. Smartphone-integrated ratiometric sensing platform with a 5.51 ppb limit of detection was developed based on the fluorescent color change of electrospun film with AFB1. The probe was used to detect and adsorb AFB1 in peanut samples, and low relative standard deviation and satisfactory recovery rates were realized. Futher, by this speedy process, around 60 % of AFB1 could be eliminated within 30 min. Thus, the synergistic detection and removal of AFB1 is realized by using porous fluorescent MOF@Ru/PAN NFs. Moreover, the smartphone-based platform open new avenues for the on-site rapid visual quantitative detection and removal of toxins, and this is important for food security and environmental conservation 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
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
Joye完成签到,获得积分10
2秒前
Herry-Jeremy发布了新的文献求助10
4秒前
jananie完成签到,获得积分10
5秒前
量子星尘发布了新的文献求助10
5秒前
靓丽访枫完成签到 ,获得积分10
6秒前
了一完成签到,获得积分10
11秒前
12秒前
lyzhou发布了新的文献求助10
18秒前
Owen应助tetsu采纳,获得10
18秒前
19秒前
19秒前
渊渟岳峙完成签到 ,获得积分10
21秒前
21秒前
孤独的一鸣完成签到,获得积分10
23秒前
开心的大开完成签到 ,获得积分10
23秒前
怎么忘了发布了新的文献求助30
24秒前
妮儿发布了新的文献求助10
24秒前
一叶扁舟完成签到,获得积分10
25秒前
27秒前
lyzhou完成签到,获得积分10
27秒前
28秒前
小超超完成签到 ,获得积分10
30秒前
赘婿应助怎么忘了采纳,获得30
32秒前
打打应助Wendy采纳,获得10
32秒前
芒果柠檬发布了新的文献求助10
32秒前
小北完成签到 ,获得积分10
33秒前
DyG完成签到,获得积分10
34秒前
35秒前
斯文败类应助haha采纳,获得10
37秒前
小Q啊啾发布了新的文献求助10
37秒前
美少女完成签到,获得积分10
38秒前
liuerlong完成签到 ,获得积分10
38秒前
39秒前
40秒前
40秒前
元煜祺发布了新的文献求助10
42秒前
shuxi完成签到,获得积分10
43秒前
大模型应助小乐子采纳,获得10
45秒前
Sandy应助芒果柠檬采纳,获得20
45秒前
李健应助芒果柠檬采纳,获得10
45秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
Interpretation of Mass Spectra, Fourth Edition 500
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3951079
求助须知:如何正确求助?哪些是违规求助? 3496471
关于积分的说明 11082339
捐赠科研通 3226915
什么是DOI,文献DOI怎么找? 1784061
邀请新用户注册赠送积分活动 868165
科研通“疑难数据库(出版商)”最低求助积分说明 801052