Aiming at the problem of oil pollution, a method based on laser Raman spectroscopy to identify oil spill is proposed in this paper. The respective Raman characteristic spectral regions were extracted from the Raman information of the biodiesel and diesel collected by the experiment. Principal component analysis (PCA) was used for identification, and partial least squares (PLS) regression was used to quantitatively analyze the mixed fuel.
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