Abstract: In order to establish the identification method for wild and cultivated agarwood, Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Medica (version 2012.130723) was used to evaluate the similarity of the HPLC chromatograms of 48 batches of agarwood samples. The identification peaks of wild and cultivated agarwood were screened by HPLC coupled with multivariate data analysis. On this basis, the Fisher linear recognition model and the partial least squares discriminant method (PLS-DA) recognition model were established. The results showed that the HPLC chromatograms of wild and cultivated agarwood were different, which provided the basis for the establishment of the identification model of wild and cultivated agarwood. The nine chromatographic peaks showed good representation in efficiently analyzing the wild and cultivated agarwood by multivariate analysis. Based on Fisher discriminant analysis, the classification accuracies of wild and cultivated agarwood within three years all reached 100%. Therefore, this model could be used for the identification of wild and cultivated agarwood within three years. The Fisher linear recognition model were y=-0.193 14x₁-0.086 49x₂+0.073 02x₃+0.136 65x₄+0.053 01x₅ -0.058 5x₆+0.097 58x₇+0.040 24x₈ -0.130 12x₉,y₁=-1.555 3, y₂=2.641 8, y₀=0.543 3.

Key words: wild agarwood, cultivated agarwood, Fisher linear discriminant, partial least square discriminant analysis (PLS-DA)