Abstract Spectrochemical quantitative analysis of complex solutions is of great significance to all walks of life. However, scattering components are difficult to avoid in complex solutions. According to the M + N theory, as long as the scattering component is contained in the solution, it will inevitably cause non-linearity between the acquired absorption spectrum and the content of any component. This non-linear relationship causes the existing spectral measurement methods to fail in severe cases. In addition, quantitative analysis of absorption spectra under strong scattering conditions still does not have an explicit function expression to describe the multivariate non-linearity between the content of each component and the spectrum. Therefore, the various calibration strategies are developed to handle the non-linearity. In this review, the methods can be classified into three categories: that’s the methods to suppress non-linearity during the acquisition of spectral information, removing the non-linearity in the spectral data by preprocessing algorithms during spectral information processing and non-linear calibration approaches to directly model the non-linearity during the spectral modeling. The above methods are summarized in this review and future research directions have been discussed.

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复杂溶液光谱化学定量分析中降低散射非线性的策略综述

摘要 复杂溶液的光谱化学定量分析对各行各业都具有重要意义。然而，在复杂的解决方案中很难避免散射分量。根据M+N理论，只要溶液中含有散射成分，就不可避免地会造成所获得的吸收光谱与任何成分的含量之间的非线性关系。这种非线性关系导致现有的光谱测量方法在严重的情况下失败。此外，强散射条件下吸收光谱的定量分析仍然没有明确的函数表达式来描述各组分含量与光谱之间的多元非线性。因此，开发了各种校准策略来处理非线性。在这次审查中，这些方法可以分为三类：即在光谱信息获取过程中抑制非线性的方法，在光谱信息处理过程中通过预处理算法去除光谱数据中的非线性，以及非线性校准方法直接对光谱数据进行建模。光谱建模期间的非线性。本综述总结了上述方法，并讨论了未来的研究方向。