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.

迄今为止，可靠的定量分析方法非常有吸引力，但是使用表面增强拉曼散射（SERS）技术具有挑战性。使用绝对拉曼散射强度的定量分析方法趋向于要求非常关键的SERS底物再现性和测试条件的一致性，因为SERS底物的批次差异和不均匀性以及测量参数的波动构成了挑战性障碍。另一方面，相对拉曼散射强度可以释放上述不利干扰，并提供有效而可靠的信息，因为它与SERS底物的可重复性无关。通过建立外部校准工作曲线，我们实现了多组分系统中分子的准确分子组成预测。进一步，通过选择或添加浓度已知为拉曼内标物的标记分子，可以轻松预测目标分子的浓度。这种方法证明了相对分析拉曼散射强度进行定量分析的有效性和鲁棒性，即使使用柔性非均质SERS底物也可以实现。