利用数学模型优化榄香附有效成分的提取工艺

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY Journal of Food Quality Pub Date : 2024-09-25 DOI:10.1155/2024/5538373
Shunjie Zhang, Yudan Wang, Tianyang Liu, Xinzhi Li, Meiliang Wang, Youwen Qiu
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引用次数: 0

摘要

榄香苷B、榄香苷E、异榄香苷都是刺五加(Rupr.和Maxim)的重要药用活性成分。要提高中药材的疗效和质量,必须优化提取工艺,通过改进和创新工艺,提高药材的利用效率,促进中药材的有效利用。本实验重点研究了以多种生物活性而著称的药用植物榄香附的三种传统成分。实验采用高效液相色谱法和响应面法研究了提取参数对这些成分收率的影响。数学模型分析用于优化响应面实验设计,并确定每种成分的确切提取条件。在萃取方法预测模型中,最佳组所描述的方法萃取出了更多的三种有效成分。与传统提取方法相比,成分提取率提高了 1.33%。同时,该预测模型的 R 方值高达 0.938。采用验证方法对 21 份不同产地的刺五加样品中的三种成分进行了定量分析。结果表明,不同样品中的成分含量差异很大。分类器的 GA 决策树中交叉验证集的召回 F1 达到 0.833。通过 K-means 聚类分析,根据样品的成分特征对样品进行了分类,为质量评估提供了依据。本研究开发的新型成分评价模型能够可靠、直观地比较不同样品和提取条件下的成分差异,从而确定榄香附各成分的最佳提取参数。该研究为中草药天然活性成分的开发和利用提供了新技术和新见解,具有重要的科学和实用意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Optimization of the Extraction Process of Effective Components of Eleutherococcus senticosus Using Mathematical Models

Eleutheroside B, eleutheroside E, and isofraxidin are all important active ingredients for medicinal purposes of Eleutherococcus senticosus (Rupr. and Maxim).To improve the efficacy and quality of Chinese medicinal materials, optimizing the extraction process is necessary. By improving and innovating the process, the utilization efficiency of medicinal materials can be enhanced, promoting the effective utilization of Chinese medicinal materials. This experiment focused on three traditional components of Eleutherococcus senticosus, a medicinal plant known for its various bioactive properties. High-performance liquid chromatography and response surface methodology were employed to investigate the effects of extraction parameters on the yield of these components. Mathematical model analysis was used to optimise the response surface experimental design and to determine the exact extraction conditions for each ingredient. In the extraction method prediction model, the method described in the best group extracted more of the three active ingredients. The extraction rate of the components was increased by 1.33 percent compared to the conventional extraction method. Meanwhile, the R-square of this prediction model was as high as 0.938. A validated method was used to quantify the three components in 21 samples of Eleutherococcus senticosus from different origins. The results revealed significant variations in the component content among the samples. The recall F1 of cross-validation sets in the GA-decision tree of the classifier reaches 0.833. K-means cluster analysis was performed to classify the samples based on their component profile, providing a basis for quality assessment. The novel content evaluation model developed in this study enabled a reliable and visual comparison of the component differences among the samples and extraction conditions, determining the optimal extraction parameters for each component of Eleutherococcus senticosus. This study offers new techniques and insights for the development and utilization of natural active ingredients from Chinese herbs, with important scientific and practical implications.

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来源期刊
Journal of Food Quality
Journal of Food Quality 工程技术-食品科技
CiteScore
5.90
自引率
6.10%
发文量
285
审稿时长
>36 weeks
期刊介绍: Journal of Food Quality is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles related to all aspects of food quality characteristics acceptable to consumers. The journal aims to provide a valuable resource for food scientists, nutritionists, food producers, the public health sector, and governmental and non-governmental agencies with an interest in food quality.
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