Graphene thin film microextraction and nanoparticle enhancement for fast LIBS metal trace analysis in liquids

激光诱导击穿光谱 材料科学 石墨烯 银纳米粒子 纳米颗粒 激光烧蚀 基质(水族馆) 分析化学(期刊) 沉积(地质) 样品制备 脉冲激光沉积 薄膜 吸附剂 水溶液 纳米技术 光谱学 色谱法 吸附 激光器 化学 光学 物理化学 海洋学 生物 古生物学 量子力学 物理 有机化学 沉积物 地质学
作者
Francesco Poggialini,Beatrice Campanella,Vincenzo Palleschi,M. Hidalgo,Stefano Legnaioli
出处
期刊:Spectrochimica Acta Part B: Atomic Spectroscopy [Elsevier BV]
卷期号:194: 106471-106471 被引量:19
标识
DOI:10.1016/j.sab.2022.106471
摘要

Several strategies have been effectively tested in the past to improve the Laser Induced Breakdown Spectroscopy (LIBS) signal for the analysis of liquid samples, involving peculiar experimental configurations, such as Double Pulse LIBS (DP-LIBS). Recently, sample treatment has proven to be a viable and simple way to enhance the performances of LIBS towards the analysis of solutions. Among the various strategies, the most promising and versatile appears to be Thin Film Microextraction (TFME) using carbon-based adsorbents. Another sample pre-treatment procedure, Nanoparticle-Enhanced LIBS (NELIBS), has gained significant interest due to its relative simplicity and effectiveness. This methodology uses a deposition of silver nanoparticles (AgNPs) on the sample to greatly increase the emission of the LIBS plasma. In this work, we investigate for the first time the possibility of combining TFME and NELIBS. We developed TFME supports by depositing an aqueous graphene nano-sheets (aq-GRA) prepared by Pulsed Laser Ablation in Liquid (PLAL) on a glass substrate. The preparation of the supports was optimized with regards to the substrate nature, deposition method, sorbent volume and drying method. Then, the TFME supports were tested for the extraction of Chromium from aqueous solution at different extraction times and analyte concentration. Subsequently, the TFME supports were treated with a deposition of silver nanoparticles (AgNP) to test the feasibility of the NELIBS approach. We observed an enhancement in the emission lines of Cr when the AgNPs were applied, as well as a lower estimated LOD value when compared to plain graphene TFME supports.
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
小王发布了新的文献求助10
刚刚
1秒前
脑洞疼应助爱听歌炳采纳,获得10
1秒前
2秒前
一切皆有利于我完成签到,获得积分10
2秒前
完美世界应助liqi采纳,获得10
2秒前
开朗眼神发布了新的文献求助10
2秒前
3秒前
因心发布了新的文献求助10
3秒前
lhqs完成签到 ,获得积分10
4秒前
科研通AI6.4应助zqy采纳,获得10
5秒前
6秒前
852应助传统的松鼠采纳,获得10
8秒前
eas发布了新的文献求助10
8秒前
9秒前
哎哟喂完成签到,获得积分10
9秒前
9秒前
9秒前
11秒前
科目三应助cjjjcj采纳,获得10
11秒前
12秒前
完美世界应助木马上市采纳,获得10
13秒前
荣耀完成签到,获得积分10
13秒前
开朗眼神完成签到,获得积分10
14秒前
老的火龙果应助侯天宇采纳,获得10
14秒前
Anyuan完成签到,获得积分10
14秒前
硕硕发布了新的文献求助10
15秒前
sly发布了新的文献求助10
15秒前
16秒前
超级绮波发布了新的文献求助10
16秒前
17秒前
18秒前
海丽发布了新的文献求助10
18秒前
20秒前
WENBO发布了新的文献求助10
20秒前
20秒前
平凡完成签到,获得积分10
21秒前
安详香旋应助wile采纳,获得10
21秒前
22秒前
小羊发布了新的文献求助10
22秒前
高分求助中
(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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777040
求助须知:如何正确求助?哪些是违规求助? 9318227
关于积分的说明 20362977
捐赠科研通 7364139
什么是DOI,文献DOI怎么找? 3318830
关于科研通互助平台的介绍 2466494
邀请新用户注册赠送积分活动 2334013