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Study on chemical pattern recognition of Phoebe bournei wood based on gas chromatography/mass spectroscopy


The object of this study is the wood of Phoebe bournei (Hemsl.) Yang. Firstly, the macroscopic and microscopic structural characteristics of P. bournei wood were studied, and then the wood was compared with other species of the same genus. Through GC-MS technology, the volatile substance composition of P. bournei wood was studied, and the common volatile substance compositions were analyzed by using correlation analysis, principal component analysis (PCA), and orthogonal partial least square discriminant model analysis (OPLS-DA) models. The purpose of this study was to determine the significantly different components of P. bournei wood in comparison to three similar species in the same genus and explore whether these can be used as a chemical pattern recognition method for this wood. The results showed that 11 common components were found in all the P. bournei wood samples. Through the correlation analysis between the samples of P. bournei from different sources, they had a strong interrelation and high correlation coefficient. P. bournei wood could be initially distinguished from the wood of the other three similar species of the same genus by PCA. Through OPLS-DA modeling and calculation the classification effect of the model was more obvious. The variable information used to analyze the experimental model was more complete, and the model had a strong prediction ability. With the combination of the load diagram (S-plot) and variable contribution index (VIP), variable components were preliminarily screened, and then inter-group t-test and variable content analysis were conducted for the samples. The results show that the OPLS-DA model analysis of valerianol and agarspirol has obvious differences, which can be used to distinguish wood of P. bournei from three other tree species of the same genus.