MicroMetaSense: Coupling Plasmonic Metasurfaces with Fluorescence for Enhanced Detection of Microplastics in Real Samples

微塑料 荧光 纳米技术 材料科学 超滤(肾) 基质(水族馆) 荧光显微镜 环境科学 化学 色谱法 环境化学 光学 物理 海洋学 地质学
作者
Emre Ece,Yusuf Aslan,Nedim Hacıosmanoğlu,Fatih İnci
出处
期刊:ACS Sensors [American Chemical Society]
标识
DOI:10.1021/acssensors.4c02070
摘要

Diverse analytical techniques are employed to scrutinize microplastics (MPs)─pervasive at hazardous concentrations across diverse sources ranging from water reservoirs to consumable substances. The limitations inherent in existing methods, such as their diminished detection capacities, render them inadequate for analyzing MPs of diminutive dimensions (microplastics: 1–5 μm; nanoplastics: < 1 μm). Consequently, there is an imperative need to devise methodologies that afford improved sensitivity and lower detection limits for analyzing these pollutants. In this study, we introduce a holistic strategy, i.e., MicroMetaSense, reliant on a metal-enhanced fluorescence (MEF) phenomenon in detecting a myriad size and types of MPs (i.e., poly(methyl methacrylate) (PMMA) and poly(ethylene terephthalate) (PET)) down to 183–205 fg, as well as validated the system with real samples (tap and lake) and artificial ocean samples as a real-world scenario. To obtain precise size distribution in nanometer scale, MPs are initially processed with an ultrafiltration on-a-chip method, and subsequently, the MPs stained with Nile Red dye are subjected to meticulous analysis under a fluorescence microscope, utilizing both a conventional method (glass substrate) and the MicroMetaSense platform. Our approach employs a metasurface to augment fluorescence signals, leveraging the MEF phenomenon, and it demonstrates an enhancement rate of 36.56-fold in detecting MPs compared to the standardized protocols. This low-cost ($2), time-saving (under 30 min), and highly sensitive (183–205 femtogram) strategy presents a promising method for precise size distribution and notable improvements in detection efficacy not only for laboratory samples but also in real environmental samples; hence, signifying a pivotal advancement in conventional methodologies in MP detection.
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
简单水蓉发布了新的文献求助10
刚刚
翠嘴快打烂她的果完成签到 ,获得积分10
3秒前
动漫大师发布了新的文献求助10
8秒前
wu完成签到,获得积分10
8秒前
NexusExplorer应助温柔的迎荷采纳,获得10
8秒前
Ava应助科研通管家采纳,获得10
9秒前
小白应助科研通管家采纳,获得50
10秒前
慕青应助科研通管家采纳,获得10
10秒前
所所应助科研通管家采纳,获得10
10秒前
bkagyin应助科研通管家采纳,获得10
10秒前
10秒前
orixero应助科研通管家采纳,获得10
10秒前
情怀应助科研通管家采纳,获得10
10秒前
田様应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
整挺好发布了新的文献求助10
10秒前
天真绝悟完成签到,获得积分10
13秒前
li完成签到,获得积分20
15秒前
tyc完成签到,获得积分10
18秒前
虚拟的星月完成签到,获得积分20
18秒前
19秒前
科研通AI5应助cfplrbs采纳,获得10
21秒前
23秒前
英姑应助完美的念梦采纳,获得10
23秒前
整挺好完成签到,获得积分10
24秒前
感冒了完成签到,获得积分10
25秒前
26秒前
26秒前
26秒前
梅小十oo发布了新的文献求助10
28秒前
共享精神应助懒大王采纳,获得10
29秒前
xiangzq完成签到,获得积分10
30秒前
听话的蜡烛完成签到,获得积分10
30秒前
yyx发布了新的文献求助10
32秒前
老实的鞋垫完成签到,获得积分10
32秒前
yang发布了新的文献求助10
33秒前
Owen应助湖医小朱采纳,获得10
34秒前
Jackie完成签到,获得积分10
36秒前
37秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Density Functional Theory: A Practical Introduction, 2nd Edition 820
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 3748772
求助须知:如何正确求助?哪些是违规求助? 3291802
关于积分的说明 10074525
捐赠科研通 3007545
什么是DOI,文献DOI怎么找? 1651660
邀请新用户注册赠送积分活动 786660
科研通“疑难数据库(出版商)”最低求助积分说明 751801