Quantitative Analysis of Adulteration of Peony Seed Oil based on PCA-SVR and Confocal Raman Spectroscopy
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Abstract:
It is imperative to implement more stringent punitive measures to combat the adulteration of peony seed oil, and establish quantitative methods to determine the authenticity of peony seed oil. A quantitative analysis model, based on principal component analysis and support vector regression (PCA-SVR) and Raman spectroscopy was developed, to determine the chemical composition and structure of samples of peony seed oil mixed with different proportions of soybean oil. The method effectively identified adulteration of peony seed oil. The coefficient of determination (R2) of the quantitative effect of the model test set exceeded 0.98 and the root-mean-square error (RMSE) was less than 0.04. The theoretical limit for detecting the adulteration in peony seed oil in this model was 0.011 52, indicating that the method was reliable for measuring mixed oil samples with a volume ratio of peony seed oil that was greater than 0.011 52. The detection model combining PCASVR and confocal Raman spectroscopy demonstrated high accuracy and reliability. The findings of this study have important implications for improving the quality of peony seed oil to ensure consumer health.
