State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China.
Key Laboratory of Advanced Materials (MOE), School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China.
Talanta. 2021 Jan 1;221:121465. doi: 10.1016/j.talanta.2020.121465. Epub 2020 Jul 30.
Robust quantitative analysis methods are very attractive but challenging with surface-enhanced Raman scattering (SERS) technique till now. Quantitative analysis methods using absolute Raman scattering intensities tend to desire very critical reproducibility of SERS substrates and consistency of testing conditions, as batch differences and inhomogeneity of SERS substrates as well as the fluctuation of measuring parameters placed challenging obstacles. Relative Raman scattering intensities, on the other hand, can release the adverse interferences mentioned above and provide effective and robust information as it is independent of the reproducibility of SERS substrates. By establishing external calibration working curves, we achieved accurate molecule composition prediction of molecules in multi-component systems. Further, by choosing or adding a label molecule with known concentration as Raman internal standards, the concentration of target molecules can be easily predicted. This approach proved the effectiveness and robustness of quantitative analysis with the relative Raman scattering intensities, even carried out with a flexible inhomogeneous SERS substrate.
到目前为止,稳健的定量分析方法对于表面增强拉曼散射(SERS)技术来说极具吸引力,但也极具挑战性。使用绝对拉曼散射强度的定量分析方法往往需要 SERS 基底具有非常高的重现性和测试条件的一致性,因为 SERS 基底的批次差异和不均匀性以及测量参数的波动都带来了很大的困难。另一方面,相对拉曼散射强度可以释放上述不利干扰,并提供有效的、稳健的信息,因为它不依赖于 SERS 基底的重现性。通过建立外部校准工作曲线,我们实现了对多组分体系中分子的准确组成预测。此外,通过选择或添加一个已知浓度的标记分子作为拉曼内标,可以很容易地预测目标分子的浓度。这种方法证明了相对拉曼散射强度定量分析的有效性和稳健性,即使使用灵活的非均匀 SERS 基底也能如此。