HPLC结合多变量统计建立野生与人工沉香的识别模型

doi:10.3969/j.issn.0253-2417.2018.06.005

摘要/Abstract

摘要： 为了建立野生、人工沉香的识别方法，采用《中药色谱指纹图谱相似度评价系统》对48批次沉香的HPLC图谱进行分析，并结合多变量统计筛选野生、人工沉香识别特征峰，建立两者的Fisher线性识别模型和偏最小二乘判别法（PLS-DA）识别模型。结果表明：野生、人工沉香HPLC图谱的色酮种类及含量具有较大差异，为识别模型的建立提供了依据；多变量统计筛选出的9个色谱峰变量具有代表性，可用于识别模型的建立；所建立的Fisher识别模型对野生沉香和3年以内人工沉香的判别正确率均为100%，可用于野生与人工沉香的识别；Fisher线性识别模型的线性判别函数：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、临界值y₀=0.543 3。

关键词: 野生沉香, 人工沉香, Fisher线性判别, 偏最小二乘判别法(PLS-DA)

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)

中图分类号:

TQ35

尚丽丽, 陈媛, 晏婷婷, 王茜, 李改云. HPLC结合多变量统计建立野生与人工沉香的识别模型[J]. 林产化学与工业, 2018, 38(6): 33-41.

SHANG Lili, CHEN Yuan, YAN Tingting, WANG Qian, LI Gaiyun. Identification of Wild Agarwood and Cultivated Agarwood by HPLC Coupled with Multivariate Data Analysis[J]. Chemistry and Industry of Forest Products, 2018, 38(6): 33-41.

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