摘要
目的:本研究旨在建立一种近红外光谱结合化学计量学的快速检测厚朴中厚朴酚的方法。方法:利用近红外光谱技术与化学计量学相结合的方式建立厚朴酚快速无损检测方法。结果:本研究建立的厚朴酚快速检测模型的决定系数较高(R2 = 0.9607),交叉验证的均方根的差为0.1371,为验证模型准确性及稳定性,使用模型对验证集进行预测,得到结果无显著性差异。结论:厚朴酚模型具有较高的准确性,适用于厚朴的厚朴酚的快速检测。
Objective: This study aims to combine near-infrared spectroscopy with chemometrics and apply the established method to the rapid detection of magnolol in Magnolia officinalis. Methods: A rapid non-destructive detection method for magnolol was established by combining near-infrared spectroscopy technology with chemometrics. Results: The rapid detection model of magnolol established in this study has a high determination coefficient (R2 = 0.9607), and the root mean square error of cross-validation is 0.1371. To verify the accuracy and stability of the model, the validation set was predicted using the model, and no significant difference was found in the results. Conclusion: The magnolol model has high accuracy and is suitable for the rapid detection of magnolol in Magnolia officinalis.
出处
《药物化学》
2025年第3期239-246,共8页
Hans Journal of Medicinal Chemistry
