Selective dual-mode detection of glyphosate facilitated by iron organic frameworks nanozymes

草甘膦 对偶(语法数字) 双模 化学 环境化学 纳米技术 材料科学 生物 工程类 生物技术 语言学 哲学 航空航天工程
作者
Ying Huang,Jiulin Wang,Hao Qu,Wang Li,Jiali Ren,Haiyan Zhong
出处
期刊:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy [Elsevier BV]
卷期号:319: 124561-124561 被引量:3
标识
DOI:10.1016/j.saa.2024.124561
摘要

To satisfy the public's urgent demand for food safety and protect the ecological environment, sensitive detection of glyphosate holds paramount importance. Here, we discovered that glyphosate can engage in specific interactions with iron organic frameworks (Fe-MOFs) nanozymes, enabling a selective detection of glyphosate. Based on this principle, an innovative colorimetric and fluorescent dual-mode detection approach was devised. Specifically, Fe-MOFs were synthesized at room temperature, exhibiting remarkable peroxidase-mimic activity. These nanozymes catalyze the conversion of colorless and fluorescent 3,3′,5,5′-Tetramethylbenzidine (TMB) into blue oxidized and nonfluorescent TMB (oxTMB) in the presence of H2O2. However, the introduction of glyphosate disrupts this process by interacting with Fe-MOFs, significantly inhibiting the catalytic activity of Fe-MOFs through both physical (electrostatic and hydrogen bonding) and chemical interactions. This suppression further hindered the conversion of TMB to oxTMB, resulting in a reduction in absorbance and a corresponding enhancement in fluorescence. The method offers a colorimetric and fluorescence dual-mode detection capability with enhanced applicability. Notably, our approach avoids complex material modifications and is more stable and cost-effective than the traditional enzyme inhibition methods. This innovative detection technique holds immense potential for practical applications and provides a fresh perspective for the detection of pesticide residues.
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
tracy10发布了新的文献求助10
刚刚
怦怦应助月半猫采纳,获得10
刚刚
1秒前
1秒前
小顾完成签到,获得积分20
1秒前
在水一方应助科研通管家采纳,获得10
1秒前
Owen应助科研通管家采纳,获得10
1秒前
科研通AI5应助科研通管家采纳,获得10
2秒前
科研通AI5应助科研通管家采纳,获得10
2秒前
SYLH应助科研通管家采纳,获得10
2秒前
Jasper应助科研通管家采纳,获得10
2秒前
上官若男应助科研通管家采纳,获得10
2秒前
Ava应助科研通管家采纳,获得10
2秒前
pluto应助科研通管家采纳,获得40
2秒前
李爱国应助科研通管家采纳,获得10
2秒前
FashionBoy应助科研通管家采纳,获得10
2秒前
ChenXY应助科研通管家采纳,获得40
2秒前
斯文败类应助科研通管家采纳,获得10
2秒前
积极向上完成签到,获得积分10
2秒前
汉堡包应助科研通管家采纳,获得10
2秒前
3秒前
合适友儿发布了新的文献求助10
3秒前
汉堡包应助科研通管家采纳,获得10
3秒前
科研通AI5应助科研通管家采纳,获得10
3秒前
慕青应助科研通管家采纳,获得10
3秒前
852应助科研通管家采纳,获得10
3秒前
娜行完成签到 ,获得积分10
3秒前
4秒前
CipherSage应助好文章快快来采纳,获得10
5秒前
王桑完成签到 ,获得积分10
5秒前
Dr_luan发布了新的文献求助10
7秒前
漂亮的小刺猬完成签到,获得积分10
7秒前
max完成签到 ,获得积分10
7秒前
格格完成签到,获得积分10
9秒前
xiaojiang完成签到,获得积分10
10秒前
彭于晏应助严笑容采纳,获得30
11秒前
浮华应助YHL采纳,获得10
12秒前
淡定的幻枫完成签到 ,获得积分10
13秒前
14秒前
HEIKU应助努力采纳,获得10
14秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
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 3737471
求助须知:如何正确求助?哪些是违规求助? 3281244
关于积分的说明 10023902
捐赠科研通 2997978
什么是DOI,文献DOI怎么找? 1644908
邀请新用户注册赠送积分活动 782421
科研通“疑难数据库(出版商)”最低求助积分说明 749792