Detection of dithiocarbamate, chloronicotinyl and organophosphate pesticides by electrochemical activation of SERS features of screen-printed electrodes

拉曼光谱 拉曼散射 电极 二硫代氨基甲酸盐 纳米技术 电化学 循环伏安法 分析化学(期刊) 材料科学 化学 色谱法 光学 冶金 物理化学 物理
作者
David Ibáñez,Marı́a Begoña González-Garcı́a,David Hernández‐Santos,Pablo Fanjul‐Bolado
出处
期刊:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy [Elsevier BV]
卷期号:248: 119174-119174 被引量:36
标识
DOI:10.1016/j.saa.2020.119174
摘要

Abstract Enhancement of Raman intensity due to the electrochemical surface-enhanced Raman scattering (EC-SERS) effect is an interesting alternative to overcome the lack of sensitivity traditionally associated with Raman spectroscopy. Furthermore, activation of metallic screen-printed electrodes (SPEs) by electrochemical route leads to the reproducible generation of nanostructures with excellent SERS properties. EC-SERS procedure proposed in this work for the detection of several pesticides (thiram, imidacloprid and chlorpyrifos) with different nature, uses gold SPEs as SERS substrates, but also includes a preconcentration step as the initial and essential stage. Taking into account the small volume of solution employed, only 60 µL, the preconcentration cannot be performed for more than 15 min in order to ensure the proper contact of the solution with WE, RE and CE. Furthermore, selected temperature, 34 °C, is not very high to allow the exhaustive control of the drop volume. Optimization of preconcentration parameters (time and temperature) displays a crucial step, particularly in the detection of low concentrations of pesticides, because it will provide higher Raman intensity in EC-SERS experiments. After the initial step, gold SPEs were electrochemically activated by cyclic voltammetry, allowing the detection of very low concentration (µg·L−1) of pesticides due to the generation of fresh nanostructures with SERS effect.

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
SciGPT应助嗯呐采纳,获得10
刚刚
A1234567发布了新的文献求助10
1秒前
1秒前
斯文败类应助森夏采纳,获得10
2秒前
炜大的我举报容彬霞求助涉嫌违规
4秒前
大气无声完成签到 ,获得积分10
5秒前
牛子发布了新的文献求助10
5秒前
CH完成签到,获得积分10
5秒前
5秒前
CodeCraft应助纯真的怀曼采纳,获得10
7秒前
racill发布了新的文献求助10
8秒前
烟花应助云草采纳,获得20
9秒前
9秒前
yung发布了新的文献求助10
10秒前
zfh1341完成签到,获得积分10
10秒前
小王很哇塞完成签到,获得积分10
11秒前
可爱的函函应助breeze采纳,获得10
11秒前
完美向梦完成签到,获得积分10
12秒前
12秒前
达不溜完成签到,获得积分10
12秒前
12秒前
脑洞疼应助nnn采纳,获得10
13秒前
13秒前
13秒前
13秒前
恒星七纪完成签到,获得积分0
13秒前
酷波er应助Crane采纳,获得20
13秒前
Aiden完成签到,获得积分10
13秒前
mhc0708发布了新的文献求助10
14秒前
搜集达人应助531采纳,获得30
14秒前
14秒前
老实觅松完成签到,获得积分10
15秒前
15秒前
楼醉山完成签到,获得积分10
15秒前
森夏发布了新的文献求助10
16秒前
18秒前
顺利汉堡完成签到,获得积分10
18秒前
weofihqerg发布了新的文献求助10
18秒前
18秒前
A1234567发布了新的文献求助10
19秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Analytical Separation Science 600
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7548216
求助须知:如何正确求助?哪些是违规求助? 9131515
关于积分的说明 19510596
捐赠科研通 7141723
什么是DOI,文献DOI怎么找? 3259791
关于科研通互助平台的介绍 2426525
邀请新用户注册赠送积分活动 2248441