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基于绝缘体上铌酸锂的激光诱导周期性表面结构的光致增强拉曼光谱研究。

Study for Photo-Induced Enhanced Raman Spectroscopy with Laser-Induced Periodic Surface Structures on Lithium Niobate on Insulator.

作者信息

Ren Yingying, An Peng, Luo Shenglin, Zhao Lina, Cai Yangjian, Li Zhen

机构信息

Shandong Provincial Engineering and Technical Center of Light Manipulations, School of Physics and Electronics, Shandong Normal University, Jinan 250358, Shandong, China.

出版信息

J Phys Chem Lett. 2024 Jun 20;15(24):6458-6466. doi: 10.1021/acs.jpclett.4c01141. Epub 2024 Jun 13.

DOI:10.1021/acs.jpclett.4c01141
PMID:38869141
Abstract

Femtosecond laser irradiation (FLI) of laser-induced periodic surface structures (LIPSSs) has proven to be an efficient and robust strategy for surface modification in nanoscale. Lithium niobate on insulator (LNOI) retains the excellent optoelectric properties of bulk lithium niobate and features intrinsic roughness and defects, exhibiting promising potential in the applications of surface-enhanced Raman spectroscopy (SERS) and photo-induced enhancement Raman spectroscopy (PIERS). Herein, we proposed a novel LNOI-LIPSSs-AgNPs substrate that exhibited an increased SERS enhancement by a factor of 3.7 relative to that without LIPSSs. More remarkably, with UV pre-irradiation, a PIERS amplification up to 8.1 times in comparison to SERS was achieved. Detailed and comprehensive analyses of the enhancement mechanisms prove the synergy between the electromagnetic mechanism and chemical mechanism. Additionally, the PIERS substrate exhibits advantages of high-fabrication efficiency, long-term stability, excellent detection universality, and multicyclic self-cleaning ability, which may trigger new applications in various branches of analytical science.

摘要

飞秒激光辐照(FLI)激光诱导周期性表面结构(LIPSSs)已被证明是一种在纳米尺度上进行表面改性的高效且可靠的策略。绝缘体上铌酸锂(LNOI)保留了块状铌酸锂的优异光电特性,并具有固有粗糙度和缺陷,在表面增强拉曼光谱(SERS)和光致增强拉曼光谱(PIERS)应用中展现出广阔潜力。在此,我们提出了一种新型的LNOI-LIPSSs-AgNPs基底,相对于没有LIPSSs的基底,其SERS增强因子提高了3.7倍。更值得注意的是,通过紫外预辐照,与SERS相比实现了高达8.1倍的PIERS放大。对增强机制的详细全面分析证明了电磁机制和化学机制之间的协同作用。此外,PIERS基底具有制备效率高、长期稳定性好、检测通用性强和多循环自清洁能力等优点,这可能会引发分析科学各个分支的新应用。

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