Surface enhanced Raman scattering-based sensing and ultrafast nonlinear optical properties of silver-hexagonal boron nitride nanocomposites achieved by femtosecond laser ablation

IF 3.8 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Optical Materials Pub Date : 2024-11-01 DOI:10.1016/j.optmat.2024.116393
Kousik Bera , Sree Satya Bharati Moram , Dipanjan Banerjee , Jayeeta Lahiri , Venugopal Rao Soma
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Abstract

This study investigated the surface-enhanced Raman spectroscopy (SERS) properties and nonlinear optical (NLO) behavior of silver nanoparticles (Ag NPs) decorated hexagonal boron nitride (hBN) nanocomposites. Although Ag NPs are known for their excellent plasmonic properties, their susceptibility to oxidation in ambient conditions significantly reduces SERS activity. To overcome this, a femtosecond laser-assisted single-step novel approach is developed for synthesizing hybrid Ag-hBN nanocomposites via ablating Ag target in a solution of exfoliated hBN nanosheets, forming uniformly embedded Ag NPs on hBN nanosheets. The morphological characteristics and elemental compositions were validated by field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), and energy dispersive X-ray spectroscopy (EDS). TEM analysis revealed that Ag NPs averaged 15 nm in size, while hBN nanosheets had lateral dimensions of approximately 250 nm. The SERS activity of the prepared nanocomposites was investigated using dye and explosive molecules, achieving detection sensitivities of 1 μM and 100 μM, respectively, with high reproducibility. These detection sensitivities are significant as they demonstrate the potential of the Ag-hBN nanocomposites for sensitive and reliable detection of trace amounts of analytes. Notably, the Ag-hBN nanocomposites showed enhanced SERS activity compared to pure Ag NPs, with a 2.5-fold improvement for Nile blue, 3.6-fold for methylene blue, and 2.4-fold for RDX. The current study also demonstrates that hBN prevents Ag NPs’ oxidation and preserves the SERS functionality even at elevated temperatures. Furthermore, the NLO properties of the nanocomposites were investigated using the standard Z-scan technique, revealing two-photon and three-photon absorption coefficients of 3 × 10−4 cm/GW and 6.5 × 10−5 cm3/GW2, respectively. The findings highlight the potential of Ag-hBN nanocomposites to enhance SERS and NLO devices, enabling future applications in sensing and photonics.
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通过飞秒激光烧蚀实现的银六方氮化硼纳米复合材料基于表面增强拉曼散射的传感和超快非线性光学特性
本研究调查了银纳米粒子(Ag NPs)装饰六方氮化硼(hBN)纳米复合材料的表面增强拉曼光谱(SERS)特性和非线性光学(NLO)行为。尽管银纳米粒子以其卓越的等离子特性而闻名,但其在环境条件下的易氧化性却大大降低了 SERS 的活性。为了克服这一问题,本研究开发了一种飞秒激光辅助的单步合成 Ag-hBN 纳米复合材料的新方法,即在剥离的 hBN 纳米片溶液中烧蚀 Ag 靶材,在 hBN 纳米片上形成均匀嵌入的 Ag NPs。通过场发射扫描电子显微镜(FESEM)、透射电子显微镜(TEM)和能量色散 X 射线光谱(EDS)对其形态特征和元素组成进行了验证。TEM 分析表明,Ag NPs 的平均尺寸为 15 nm,而 hBN 纳米片的横向尺寸约为 250 nm。利用染料分子和爆炸物分子对所制备纳米复合材料的 SERS 活性进行了研究,其检测灵敏度分别达到 1 μM 和 100 μM,且具有很高的重现性。这些检测灵敏度证明了 Ag-hBN 纳米复合材料在灵敏可靠地检测痕量分析物方面的潜力,因此具有重要意义。值得注意的是,与纯 Ag NPs 相比,Ag-hBN 纳米复合材料显示出更强的 SERS 活性,对尼罗蓝的活性提高了 2.5 倍,对亚甲基蓝的活性提高了 3.6 倍,对 RDX 的活性提高了 2.4 倍。目前的研究还表明,hBN 可防止 Ag NPs 氧化,即使在高温下也能保持 SERS 功能。此外,还使用标准 Z 扫描技术研究了纳米复合材料的 NLO 特性,发现其双光子和三光子吸收系数分别为 3 × 10-4 cm/GW 和 6.5 × 10-5 cm3/GW2。这些发现凸显了 Ag-hBN 纳米复合材料在增强 SERS 和 NLO 器件方面的潜力,使其未来在传感和光子学领域的应用成为可能。
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来源期刊
Optical Materials
Optical Materials 工程技术-材料科学:综合
CiteScore
6.60
自引率
12.80%
发文量
1265
审稿时长
38 days
期刊介绍: Optical Materials has an open access mirror journal Optical Materials: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. The purpose of Optical Materials is to provide a means of communication and technology transfer between researchers who are interested in materials for potential device applications. The journal publishes original papers and review articles on the design, synthesis, characterisation and applications of optical materials. OPTICAL MATERIALS focuses on: • Optical Properties of Material Systems; • The Materials Aspects of Optical Phenomena; • The Materials Aspects of Devices and Applications. Authors can submit separate research elements describing their data to Data in Brief and methods to Methods X.
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