材料科学
拉曼光谱
罗丹明6G
基质(水族馆)
表面增强拉曼光谱
聚二甲基硅氧烷
检出限
纳米技术
制作
光电子学
拉曼散射
光学
分子
化学
色谱法
物理
地质学
病理
有机化学
海洋学
替代医学
医学
作者
Houjia Zhang,Nan Zhao,Hefu Li,Minghong Wang,Xuehui Hao,Meng Sun,Xiaojian Li,Zhenshan Yang,Huishan Yu,Cunwei Tian,Changzheng Wang
标识
DOI:10.1021/acsami.2c12201
摘要
With the development of flexible surface-enhanced Raman spectroscopy (SERS) substrates that can realize rapid in situ detection, the SERS technique accompanied by miniaturized Raman spectrometers holds great promise for point-of-care testing (POCT). For an in situ detection strategy, constructing high-performance flexible and transparent SERS substrates through a facile and cost-effective fabrication method is critically important. Herein, we present a simple method for fabricating a large-area flexible and transparent SERS substrate consisting of a silver-nanoparticle-grafted wrinkled polydimethylsiloxane (Ag NPs@W-PDMS) film, using a surface-wrinkling technique and magnetron sputtering technology. By characterizing rhodamine 6G as a probe molecule with a portable Raman spectrometer, the flexible SERS substrate shows a low detection limit (10-7 M), a high enhancement factor (6.11 × 106), and excellent spot-spot and batch-batch reproducibilities (9.0% and 4.2%, respectively). Moreover, the Ag NPs@W-PDMS substrate maintains high SERS activity under bending and twisting mechanical deformations of over 100 cycles, as well as storage in air for 30 days. To evaluate its practical feasibility, in situ detection of malachite green on apple and tomato peels is performed with a detection limit of 10-6 M. In addition, for point-of-care analysis, we develop a wireless transmission system to transmit the collected SERS spectral data to a computer in real time for signal processing and analysis. Therefore, the proposed Ag NPs@W-PDMS SERS substrate fabricated through a simple and mass-producible method, combined with the utilization of a portable Raman spectrometer and wireless communication, offers a promising opportunity to extend the SERS technique from the laboratory to POCT applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI