亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Gold nanoparticles and nitrogen-doped carbon dots based fluorescent nanosensor for ultrasensitive detection of thiram in hawthorn

纳米传感器 福瑞姆 荧光 检出限 胶体金 化学 纳米颗粒 色谱法 纳米技术 材料科学 杀虫剂 农学 量子力学 生物 物理
作者
Lizhu Fu,Yujiao Hou,Haipeng Guo,Chang Liu,Ying Li,Boyu Jia,Lidong Zhou,Weijun Kong
出处
期刊:Microchemical Journal [Elsevier BV]
卷期号:176: 107253-107253 被引量:26
标识
DOI:10.1016/j.microc.2022.107253
摘要

Development of highly efficient and sensitive methods for trace detection of pesticides in foods is in great need. In this study, a signal “on–off-on” fluorescent nanosensor was proposed based on gold nanoparticles (AuNPs) and biomass derived nitrogen-doped carbon dots (N-CDs) for accurate qualitation and quantitation of thiram in hawthorn. The water-soluble orange peel-derived N-CDs were obtained through a facile one-step microwave-assisted synthesis strategy. The fluorescence of biomass N-CDs could be effectively quenched by AuNPs through inner filter effect (IFE), and recovered when AuNPs were aggregated. In the presence of thiram, N-CDs specially bound with AuNPs through Au-S bonds, causing the aggregation of AuNPs with a visible color change from red to blue, accompanying with the release of N-CDs and a recovery of fluorescence. The restored fluorescence intensity was relevant with the added amount of thiram in a concentration-dependent manner for reliable quantitation. Under the optimized conditions, the newly-developed fluorescent nanosensor exhibited high selectivity for thiram out of other six interfering pesticides, as well as excellent sensitivity with an ultralow detection limit of 4.7 ng/mL and a wide detection range of 10–200 ng/mL. The practical application of the established nanosensor in the spiked hawthorn samples confirmed satisfactory recoveries of 102.22–107.57% with relative standard deviations (RSDs) lower than 5%. The results indicated the feasibility, practicality and wide application prospect of the proposed fluorescent nanosensor for thiram in foods and other commodities.
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
Su发布了新的文献求助10
8秒前
9秒前
LHC888发布了新的文献求助10
14秒前
15秒前
聪明的冥茗完成签到 ,获得积分10
23秒前
丘比特应助Prof.Z采纳,获得10
25秒前
蛮21发布了新的文献求助10
25秒前
LHC888完成签到,获得积分10
41秒前
Orange应助木子采纳,获得10
43秒前
Crw__发布了新的文献求助10
49秒前
SciGPT应助小太阳采纳,获得10
53秒前
顺利的蚂蚁完成签到,获得积分10
54秒前
qcy72完成签到,获得积分10
57秒前
乐乐应助拼搏姒采纳,获得10
1分钟前
科研通AI6.2应助蛮21采纳,获得10
1分钟前
外向的妍完成签到,获得积分10
1分钟前
1分钟前
小太阳完成签到,获得积分10
1分钟前
Moonpie应助duxinyue采纳,获得10
1分钟前
大个应助Prof.Z采纳,获得10
1分钟前
1分钟前
酷波er应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
拼搏姒发布了新的文献求助10
1分钟前
astg发布了新的文献求助10
1分钟前
Thanks完成签到 ,获得积分10
1分钟前
1分钟前
田様应助Prof.Z采纳,获得10
1分钟前
快乐含蕾发布了新的文献求助10
2分钟前
小马完成签到,获得积分10
2分钟前
2分钟前
caca完成签到,获得积分0
2分钟前
共享精神应助Prof.Z采纳,获得10
2分钟前
lezbj99完成签到,获得积分10
2分钟前
xingsixs完成签到 ,获得积分10
2分钟前
111完成签到,获得积分10
2分钟前
meixinhu完成签到,获得积分10
3分钟前
3分钟前
3分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6471930
求助须知:如何正确求助?哪些是违规求助? 8275933
关于积分的说明 17646185
捐赠科研通 5550704
什么是DOI,文献DOI怎么找? 2909374
邀请新用户注册赠送积分活动 1886159
关于科研通互助平台的介绍 1737057