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1.苏州科技大学 物理科学与技术学院 江苏微纳热流技术与能源应用重点实验室, 江苏 苏州 215009
2.济源职业技术学院 基础部, 河南 济源 459000
Received:02 April 2022,
Revised:23 April 2022,
Published:05 July 2022
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Zhi-hui JIANG, Shen ZHANG, Hong-min MAO, et al. Raman spectroscopic conformity of SERS substrate fabricated with lyotropic liquid crystal[J]. Chinese journal of liquid crystals and displays, 2022, 37(7): 806-815.
Zhi-hui JIANG, Shen ZHANG, Hong-min MAO, et al. Raman spectroscopic conformity of SERS substrate fabricated with lyotropic liquid crystal[J]. Chinese journal of liquid crystals and displays, 2022, 37(7): 806-815. DOI: 10.37188/CJLCD.2022-0110.
在拉曼光谱测量中,表面增强拉曼散射(SERS)基底的微纳结构表面覆盖度对光谱一致性影响严重。为此,本文重点研究表面覆盖度对光谱的影响规律,并给出消除表面覆盖度影响的方法。首先利用溶致液晶软模板制备SERS基底,并分析表面覆盖度和拉曼光谱强度的关系,得到经验公式。然后基于该关系公式,以测量光谱平均强度对应的表面覆盖度作为基准覆盖度,将所有的测量光谱强度都归集到该基准覆盖度下,从而消除表面覆盖度对光谱强度的影响。最后,验证该方法在不同SERS基底和同一基底不同测量光斑大小下的有效性。拟合及实验结果表明:拉曼光谱强度和表面覆盖度呈指数变化关系;表面覆盖度法可以将不同基底的拉曼光谱变异系数减小到约6%、不同测量光斑下基底的一致性均提升约2倍以上,且基底的光谱变异系数随光斑的增大线性减小。总之,表面覆盖度法可以显著提升SERS基底的拉曼光谱一致性,从而实现各种物质成分的定量、可靠检测,极大促进SERS基底在多个检测领域的应用。
The surface coverage of micro-nano structure seriously affects the spectroscopic conformity of the surface-enhanced Raman scattering (SERS) substrate. In the paper, the influence of the surface coverage on the spectrum is studied, and a method is proposed to eliminate the influence of surface coverage. First, the SERS substrate was prepared by using the lyotropic liquid crystal soft template and the relationship between the surface coverage and Raman spectral intensity is analyzed to obtain a formula. Then, based on the this formula, all measured spectral intensities are unified to the standard surface coverage, which is defined with the measured average spectral intensity corresponded surface coverage, thus, the influence of the surface coverage on the spectral intensity is elimanated. Finally, the effectiveness of the proposed method is verified with different SERS substrates and different test spot sizes on the same substrate. The fitting and experimental results show that the spectral intensity changes as an exponential function of the surface coverage, the coefficients of variation are reduced to about 6% for different substrates, the spectroscopic conformities of the substrate are improved more than twice or so for different measured spots, and the coefficients of variation linearly decrease with the spots increase. In a word, the proposed method can improve the spectroscopic conformity of the SERS substrate significantly, the quantitative and reliable detection of various material components will be realized. This work may greatly promote the application of the SERS substrate in multiple detection fields.
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