拉曼散射
化学
拉曼光谱
再现性
散射
分子
稳健性(进化)
校准
定量分析(化学)
基质(水族馆)
分析化学(期刊)
X射线拉曼散射
生物系统
纳米技术
光学
材料科学
色谱法
物理
生物化学
量子力学
海洋学
有机化学
生物
基因
地质学
作者
Fengtong Zhao,Weipeng Wang,Haodong Zhong,Fei Yang,Wangyang Fu,Yunhan Ling,Zhengjun Zhang
出处
期刊:Talanta
[Elsevier]
日期:2020-07-30
卷期号:221: 121465-121465
被引量:34
标识
DOI:10.1016/j.talanta.2020.121465
摘要
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.
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