基于近红外光谱结合化学计量学的厚朴的厚朴酚的检测研究
Detection Research on Magnolol of Magnolia officinal Is Based on Near-Infrared Spectroscopy Combined with Chemometrics
DOI: 10.12677/hjmce.2025.133025, PDF,   
作者: 王 燕：上海康桥中药饮片有限公司，上海；王燕清*：上海市奉贤区中心医院药剂科，上海
关键词: 厚朴；厚朴酚；近红外光谱技术；偏最小二乘法；Magnolia officinalis； Magnolol； Near Infrared Spectroscopy； Partial Least Squares Method
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。
Abstract: 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.
文章引用：王燕, 王燕清. 基于近红外光谱结合化学计量学的厚朴的厚朴酚的检测研究[J]. 药物化学, 2025, 13(3): 239-246. https://doi.org/10.12677/hjmce.2025.133025

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