丁晓彦，俎龙辉， 王变利. 偏最小二乘回归分析法在黄芩抑菌谱-效关系及数学模型研究中的应用[J]. 山东科学，2020, 33 (4): 18-23. doi: 10.3976/j.issn.1002-4026.2020.04.004摘要： 以黄芩药材指纹图谱及其对金黄色葡萄球菌抑菌率为基础数据，接纳偏最小二乘回归分析法（PLS）举行数据的谱-效相关性分析，并建设数学模型。效果讲明，黄芩中有5个身分对抑菌率的影响较大，建设模型的药效预测值偏差在10%以内，能够较好地预测药效。该方法及所建设的数学模型能成为预测黄芩抑制金黄色葡萄球菌的药效作用的一种有效的手段。

关键词: 黄芩, 谱-效关系, 偏最小二乘回归分析法, 数学模型Abstract: Based on the fingerprint of Scutellariae Radix and its inhibition rate of Staphylococcus aureus, the partial least squares regression method was used to analyze the correlation of the antibacterial spectrum-effect relationship, and a mathematical model was established. Results showed that five components in Scutellariae Radix have a significant effect on the bacteriostasis rate. The established model could predict the efficacy of Scutellariae Radix with a deviation of less than 10%, indicating the desired prediction for the efficacy. The partial least squares regression method and the established mathematical model can provide an effective way to predict the inhibition rate of Staphylococcus aureus for the efficacy of Scutellariae Radix.Key words: Scutellariae Radix；spectrum-effect relationship, partial least squares regression analysis, mathematical model引用花样：丁晓彦, 俎龙辉, 王变利. 偏最小二乘回归分析法在黄芩抑菌谱-效关系及数学模型研究中的应用[J]. 山东科学, 2020, 33(4): 18-23.DING Xiao-yan, ZU Long-hui, WANG Bian-li. Application of partial least squares regression analysis in the study of the antibacterial spectrum-effect relationship and mathematical model of Scutellariae Radix[J]. Shandong Science, 2020, 33(4): 18-23.相关文章：《山东科学》论文投稿模板 《山东科学》参考文献新要求 《山东科学》征稿。

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