Machine-learning-assisted ultraviolet-visible spectroscopy for low-level multi-component adulteration identification in Coptis chinensis.
Low-level adulteration of botanical ingredients is difficult to detect because weak adulterant signals are often masked by the dominant matrix spectrum. Here, Ultraviolet-Visible (UV-Vis) spectroscopy combined with machine learning was investigated for identification of low-level multi-component adulteration in Coptis...