Galvanic engineering of interior hotspots in 3D Au/Ag bimetallic SERS nanocavities for ultrasensitive and rapid recognition of phthalate esters

双金属片 拉曼光谱 邻苯二甲酸盐 检出限 原电池 增塑剂 分析化学(期刊) 材料科学 表面增强拉曼光谱 纳米技术 化学 拉曼散射 环境化学 色谱法 金属 光学 冶金 复合材料 物理
作者
Soo Hyun Lee,Iris Baffour Ansah,ChaeWon Mun,Jun‐Yeong Yang,Sung-Young Shin,Jaewon Na,Jucheol Park,Sang-Yeol Nam,Seunghun Lee,Jae-Woo Kim,Heung Su Joung,Dongho Kim,Sung‐Gyu Park
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:470: 144161-144161 被引量:3
标识
DOI:10.1016/j.cej.2023.144161
摘要

The ecological and health risks of plasticizer accumulation have reached the global public agenda. For early screening of phthalate esters (PAEs), in the present study, we developed ultrasensitive and reliable bimetallic surface-enhanced Raman spectroscopy (SERS) platforms with Ag nanocavities galvanically replaced by Au (Au/AgNCs) at room temperature. A galvanic reaction (GR) coupled with the Kirkendall effect led to a large population of nanoscale hollow regions within 60 s. The interstitials at the bimetallic shells were activated as both interior hotspots for field confinement and diffusion pathways for small target molecules. The GR based on the intrinsic material properties resulted in an Au/AgNC platform with reliable sensing operation, including a relative standard deviation of <10 % at the individual analytic Raman peaks. The qualified and densified interior hotspots of the Au/AgNC platform led to sub-ppm sensitivity (i.e., the average limit of detection of ∼2.1 × 10−2 ppm) for four different PAEs. As a demonstration of the Au/AgNC platform's performance in actual sample environments, the detection and identification of various PAE combinations were also investigated. Subtle differences in the PAEs' spectral characteristics (i.e., peak positions and intensity ratios) were successfully classified using a machine learning algorithm based on a principal component analysis–linear discriminant analysis model. Furthermore, the amount of PAE released from the real sample and evaluated by SERS was consistent with that evaluated by gas chromatography–mass spectrometry. These results indicate that the SERS platforms with Au/AgNC substrates and portable Raman instruments are suitable for on-site safety monitoring of toxic substances in food and the environment.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
Xu完成签到 ,获得积分10
6秒前
7秒前
小菜白完成签到,获得积分0
9秒前
kevinjy完成签到,获得积分10
9秒前
江上清风游完成签到,获得积分10
10秒前
14秒前
夜如雨应助Sophie采纳,获得10
14秒前
rocky15应助Nelson采纳,获得10
15秒前
朱荧荧发布了新的文献求助10
20秒前
英俊延恶完成签到,获得积分10
22秒前
marsofking完成签到,获得积分10
23秒前
26秒前
伶俐的易云完成签到 ,获得积分10
26秒前
神勇盼易完成签到,获得积分20
27秒前
Archie完成签到,获得积分10
28秒前
28秒前
弘木发布了新的文献求助10
33秒前
恰米完成签到,获得积分10
33秒前
lynn完成签到 ,获得积分10
34秒前
英姑应助朴素的雁蓉采纳,获得10
34秒前
34秒前
36秒前
恰米发布了新的文献求助10
37秒前
Song完成签到,获得积分10
38秒前
梅子酒发布了新的文献求助10
39秒前
弘木完成签到,获得积分10
39秒前
神勇盼易发布了新的文献求助10
41秒前
www完成签到 ,获得积分20
41秒前
朱荧荧完成签到,获得积分10
42秒前
衣裳薄完成签到,获得积分10
45秒前
小黄发布了新的文献求助10
46秒前
夜如雨应助梅子酒采纳,获得10
46秒前
CipherSage应助梅子酒采纳,获得10
46秒前
47秒前
48秒前
48秒前
Nynna完成签到,获得积分10
50秒前
孙先生发布了新的文献求助10
51秒前
52秒前
Yunranqiu发布了新的文献求助10
53秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 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 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2547384
求助须知:如何正确求助?哪些是违规求助? 2176211
关于积分的说明 5603055
捐赠科研通 1897016
什么是DOI,文献DOI怎么找? 946498
版权声明 565383
科研通“疑难数据库(出版商)”最低求助积分说明 503767