Suppr超能文献

基于纸表面疏水性变化的滤纸表面增强拉曼散射传感器用于农药检测的亚纳摩尔灵敏度。

Subnanomolar Sensitivity of Filter Paper-Based SERS Sensor for Pesticide Detection by Hydrophobicity Change of Paper Surface.

机构信息

Department of Chemistry Education, College of Education, ‡Department of Forest Sciences, College of Agriculture and Life Sciences, §Research Institute of Agriculture and Life Sciences, and ⊥Department of Chemistry, College of Natural Sciences, Seoul National University , Seoul 08826, Korea.

出版信息

ACS Sens. 2018 Jan 26;3(1):151-159. doi: 10.1021/acssensors.7b00782. Epub 2018 Jan 12.

Abstract

As a cost-effective approach for detecting trace amounts of pesticides, filter paper-based SERS sensors have been the subject of intensive research. One of the hurdles to overcome is the difficulty of retaining nanoparticles on the surface of the paper because of the hydrophilic nature of the cellulose fibers in paper. This reduces the sensitivity and reproducibility of paper-based SERS sensors due to the low density of nanoparticles and short retention time of analytes on the paper surface. In this study, filter paper was treated with alkyl ketene dimer (AKD) to modify its property from hydrophilic to hydrophobic. AKD treatment increased the contact angle of the aqueous silver nanoparticle (AgNP) dispersion, which consequently increased the density of AgNPs. The retention time of the analyte was also increased by preventing its rapid absorption into the filter paper. The SERS signal was strongly enhanced by the increased number of SERS hot spots owing to the increased density of AgNPs on a small contact area of the filter surface. The reproducibility and sensitivity of the SERS signal were optimized by controlling the distribution of AgNPs on the surface of the filter paper by adjusting the concentration of the AgNP solution. Using this SERS sensor with a hydrophobicity-modified filter paper, the spot-to-spot variation of the SERS intensity of 25 spots of 4-aminothiophenol was 6.19%, and the limits of detection of thiram and ferbam as test pesticides were measured to be 0.46 nM and 0.49 nM, respectively. These proof-of-concept results indicate that this paper-based SERS sensor can serve for highly sensitive pesticide detection with low cost and easy fabrication.

摘要

作为一种检测痕量农药的经济有效方法,基于滤纸的 SERS 传感器一直是研究的热点。需要克服的一个障碍是由于滤纸中纤维素纤维的亲水性,纳米颗粒难以保留在纸的表面。这降低了基于纸的 SERS 传感器的灵敏度和重现性,因为纳米颗粒的密度低,分析物在纸表面的保留时间短。在本研究中,通过烷基酮二聚体(AKD)处理滤纸,将其性质从亲水变为疏水。AKD 处理增加了水性银纳米颗粒(AgNP)分散体的接触角,从而增加了 AgNP 的密度。通过防止分析物快速吸收到滤纸上,也延长了分析物的保留时间。由于在滤纸表面的小接触面积上 AgNP 的密度增加,增加了 SERS 热点的数量,从而大大增强了 SERS 信号。通过控制 AgNP 溶液的浓度来控制 AgNP 在滤纸上的分布,优化了 SERS 信号的重现性和灵敏度。使用这种具有疏水性改性滤纸的 SERS 传感器,4-巯基苯胺的 25 个点的 SERS 强度的点间变化为 6.19%,并测量了作为测试农药的福美双和代森锰的检测限分别为 0.46 nM 和 0.49 nM。这些概念验证结果表明,这种基于纸的 SERS 传感器可以用于低成本和易于制造的高灵敏度农药检测。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验