Comparative Analysis of Infrared and Electrochemical Fingerprints of Magnolia officinalis After Water Steam Treatment

Magnolia officinalis is a herb of traditional Chinese medicine and its properties change with different treatments (called "sweating"). In this work, infrared spectra and electrochemical fingerprints of Magnolia officinalis were collected before and after treatment. Meanwhile, different sweating methods and sweating parameters on the quality of Magnolia officinalis were examined. The FTIR spectra were resolved differently for different samples after the second order derivative. The electrochemical fingerprinting was further modeled in this work. The developed discriminant analysis (DA) model allowed a rapid identification of different Magnolia officinalis simultaneously. The results show that the prediction accuracy of both the calibration and validation sets characterizing the performance of the optimal DA model is 100.0%.