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基于高效薄层色谱分析的黄连碱提取中微波辅助固液双加热的田口L9优化法

Taguchi L9 Optimization of Microwave-Assisted Solid-Liquid Duo Heating for Berberine Extraction With HPTLC Analysis.

作者信息

Satija Saurabh, Vyas Manish, Pandey Parijat, Garg Munish

机构信息

School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, New South Wales, Australia.

Molecular Horizons, Faculty of Science, Medicine & Health, University of Wollongong, Wollongong, New South Wales, Australia.

出版信息

Biomed Chromatogr. 2025 Mar;39(3):e70008. doi: 10.1002/bmc.70008.

Abstract

We present an optimized approach for the extraction of berberine using microwave-assisted solid-liquid duo heating. The conventional procedure relies on the simultaneous heating of the sample matrix and the dissolving solvent under microwave energy. To improve the efficiency of this process, we employed the Taguchi L9 orthogonal design methodology, focusing on key extraction parameters, including microwave power, irradiation time, solute-solvent ratio, and temperature. Berberine content was quantified using high-performance thin-layer chromatography (HPTLC). Our findings revealed that the most influential parameters in the berberine extraction process were microwave power (ranked as the most critical factor), followed by irradiation time (second in importance), and temperature (third in significance). Utilizing the dual heating approach in microwave-assisted extraction (MAE) led to a more precise and efficient determination of extraction parameters, resulting in enhanced accuracy and higher yield. Additionally, this optimized method significantly reduced the overall extraction time, making it an ideal choice for berberine extraction under optimal conditions.

摘要

我们提出了一种利用微波辅助固液双加热提取黄连素的优化方法。传统方法依赖于在微波能量下同时加热样品基质和溶解溶剂。为提高该过程的效率,我们采用田口L9正交设计方法,重点关注关键提取参数,包括微波功率、辐照时间、溶质-溶剂比和温度。使用高效薄层色谱法(HPTLC)对黄连素含量进行定量。我们的研究结果表明,黄连素提取过程中最具影响力的参数是微波功率(列为最关键因素),其次是辐照时间(重要性排第二),温度(重要性排第三)。在微波辅助萃取(MAE)中采用双加热方法可更精确高效地确定提取参数,提高准确性并提高产率。此外,这种优化方法显著缩短了总体提取时间,使其成为在最佳条件下提取黄连素的理想选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6ad/11803487/88deb9240411/BMC-39-e70008-g001.jpg

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