50)為1.02 mg/mL,且具有抗炎活性,采用信息熵賦權(quán)法確定各指標(biāo)的客觀權(quán)重,按照其確定的權(quán)重系數(shù)進(jìn)行綜合評價(jià),且考慮實(shí)際情況,確定桂枝芍藥知母顆粒的最佳提取工藝條件為加16倍量水,提取3次,每次1 h。驗(yàn)證試驗(yàn)結(jié)果顯示預(yù)測值與實(shí)測值相比,RSD小于3%。結(jié)論 優(yōu)選后的工藝穩(wěn)定可行,重復(fù)性好,可用于大批量生產(chǎn)。;Objective To optimize the extraction process parameters of Guizhi Shaoyao Zhimu Granules (GSZG). Methods Using high performance liquid chromatography and Elisa, the extraction rate of trans-cinnamaldehyde, paeoniflorin, mangiferin, glycyrrhizic acid, the dry extract yield of extracted herbs and inflammatory factor IL-6 were comprehensively evaluated. The information entropy weighting method was used to determine the objective weight of each index, and response surface methodology was adopted to optimize the extraction process parameters of GSZG. Results The method had good linear relationship within the range of 3.27-104.64 μg/mL for trans-cinnamaldehyde (r =0.999 9), 8.16-261.03 μg/mL for paeoniflorin (r=1.000 0), 1.39-89.27 μg/mL for mangiferin (r=0.999 9), and 1.00-33.00 μg/mL for glycyrrhizic acid ammonium salt (r=0.999 9). Guizhi-Shaoyao-Zhimu extraction had the effect of inhibiting the proliferation of MH7A cells (molded by TNF-α) with IC50 of 1.02 mg/mL, and had anti-inflammatory activity. Entropy method was more scientific, reasonable and stable. According to the comprehensive scoring results and practical situation, it was determined that the best extraction process of the preparation was to add 16 times the amount of water, and decocted three times for 1 h each time. The RSD of the predicted value was less than 3% compared with the measured value. Conclusion The preferred process has high extraction rate, with good stability and repeatability, which is suitable for the mass production of GSZG."/>

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首頁 > 過刊瀏覽>2020年第51卷第1期 >2020,51(1):84-90. DOI:10.7501/j.issn.0253-2670.2020.01.013
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基于熵權(quán)法結(jié)合Box-Behnken響應(yīng)面法優(yōu)化桂枝芍藥知母顆粒復(fù)方提取工藝

Optimization of extraction process of Compound Guizhi Shaoyao Zhimu Granules by combination of response surface methodology with entropy weight method

發(fā)布日期:2020-01-09
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