中国药师
中國藥師
중국약사
CHINA PHARMACIST
2015年
8期
1253-1255
,共3页
古川%武婧%梁艳妮%宋忠兴%刘红波%刘世军%唐志书
古川%武婧%樑豔妮%宋忠興%劉紅波%劉世軍%唐誌書
고천%무청%량염니%송충흥%류홍파%류세군%당지서
甘草%星点设计%效应面法%水提工艺
甘草%星點設計%效應麵法%水提工藝
감초%성점설계%효응면법%수제공예
Glycyrrhiza%Central composite design%Response surface methodology%Water extraction process
目的::运用星点设计-效应面法对甘草水提工艺进行优化。方法:用HPLC法测定甘草苷、甘草酸含量,以甘草苷、甘草酸含量和干膏收率为综合评价指标,以加水倍量、提取时间为自变量,综合评价指标为因变量,采用Design-Expert 8.06对试验数据进行多元线性回归及二项式拟合,用效应面法优选最佳水提工艺,并对结果进行预测分析。结果:最佳水提工艺为12倍量水,提取2次,每次90 min,提取预测值与理论值偏差为-1.72%,二项式拟合复相关系数r=0.9797。结论:星点设计-效应面法优化甘草水提工艺,简便可行,预测性较高;为后续应用膜分离纯化提供最佳提取工艺。
目的::運用星點設計-效應麵法對甘草水提工藝進行優化。方法:用HPLC法測定甘草苷、甘草痠含量,以甘草苷、甘草痠含量和榦膏收率為綜閤評價指標,以加水倍量、提取時間為自變量,綜閤評價指標為因變量,採用Design-Expert 8.06對試驗數據進行多元線性迴歸及二項式擬閤,用效應麵法優選最佳水提工藝,併對結果進行預測分析。結果:最佳水提工藝為12倍量水,提取2次,每次90 min,提取預測值與理論值偏差為-1.72%,二項式擬閤複相關繫數r=0.9797。結論:星點設計-效應麵法優化甘草水提工藝,簡便可行,預測性較高;為後續應用膜分離純化提供最佳提取工藝。
목적::운용성점설계-효응면법대감초수제공예진행우화。방법:용HPLC법측정감초감、감초산함량,이감초감、감초산함량화간고수솔위종합평개지표,이가수배량、제취시간위자변량,종합평개지표위인변량,채용Design-Expert 8.06대시험수거진행다원선성회귀급이항식의합,용효응면법우선최가수제공예,병대결과진행예측분석。결과:최가수제공예위12배량수,제취2차,매차90 min,제취예측치여이론치편차위-1.72%,이항식의합복상관계수r=0.9797。결론:성점설계-효응면법우화감초수제공예,간편가행,예측성교고;위후속응용막분리순화제공최가제취공예。
To optimize the water extraction process for glycyrrhiza. Methods: HPLC was used to determine the con-tents of glycyrrhizic acid and liquiritin. The comprehensive index included the contents of glycyrrhizic acid and liquiritin and the yield of dry extract. The water amount and the extraction time were selected as the independent variables, and the comprehensive index was set as the dependent variable. Design-expert 8. 06 software was used to fit multivariate linear or quadratic multinomial models for the experimental values. Response surface methodology was used to optimize the water extraction process. The prediction was carried out through comparing the observed and predicted values. Results:The regression coefficient of binomial fitting complex model was as high as 0. 979 7. The optimum conditions of extraction process were as follows:12-fold amount of water, extracting 3 times with 90 min for each time. The deviation between the observed and predicted values was -1. 72%. Conclusion: Central composite design-response surface methodology is convenient and highly predictive in optimizing the water extraction process for glycyrrhiza, which can be applied in the further membrane separation and purification.