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首页> 外文期刊>Food and Bioproducts Processing. Transactions of the Institution of Chemical Engineers, Part C >Statistical optimization of anticholesterolemic drug lovastatin production by the red mold Monascus purpureus
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Statistical optimization of anticholesterolemic drug lovastatin production by the red mold Monascus purpureus

机译：统计优化的红色霉菌红曲霉生产的抗胆固醇药物洛伐他汀

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Lovastatin (HMG-CoA reductase inhibitors), is an important anticholesterolemic drug which inhibits the conversion of HMG-CoA to mevalonate in the biosynthesis of cholesterol. Plackett-Burman statistical screening of 12 media components and subsequent optimization of significant parameters by response surface methodology for the biotechnological production of lovastatin by Monascus purpureus MTCC 369 was studied. In this study, the statistical analysis of Plackett-Burman experimental results showed that the medium components glucose, peptone, MnSO sub(4) super(.H) sub(2), NaCl and NH sub(4)Cl as the significant components influencing the lovastatin production. The most significant medium components, glucose, peptone and MnSO sub(4) super(.H) sub(2) which have confidence level of more than 95% were further optimized using a full factorial central composite design of the response surface methodology. Maximum lovastatin production of 97.5 mg l super(-1) was obtained after 14 days of fermentation period in the optimized medium containing, glucose, 52.61 g l super(-1) peptone, 16.65 g l super(-1); NH sub(4)Cl, 1 g l super(-1); KH sub(2)PO sub(4), 1 g l super(-1); yeast extract, 3 g l super(-1); K sub(2)HPO sub(4), 1 g l super(-1); KNO sub(3), 0.5 g l super(-1); MgSO sub(4) super(.7H) sub(2), 0.2 g l super(-1); MnSO sub(4) super(.H) sub(2), 0.418 g l super(-1); NaCl, 0.5 g l super(-1); CaCl sub(2) super(.2H) sub(2), 0.1 g l super(-1) and FeSO sub(4) super(.7H) sub(2), 0.001 g l super(-1) at 30 degree C and 120 rpm. The production of lovastatin by M. purpureus MTCC 369 in the optimized medium was found to be four times higher than the basal medium in the submerged fermentation. The statistical experimental design serves as an efficient tool for screening large number of variables with minimum number of experiments and optimizing the significant variables for enhancing the production of lovastatin.
机译：洛伐他汀（HMG-CoA还原酶抑制剂）是一种重要的抗胆固醇药物，在胆固醇的生物合成中抑制HMG-CoA转化为甲羟戊酸酯。进行了12种培养基成分的Plackett-Burman统计筛选以及随后通过响应面方法对红曲霉MTCC 369生物技术生产洛伐他汀的重要参数的优化。在这项研究中，对Plackett-Burman实验结果的统计分析表明，培养基成分葡萄糖，蛋白one，MnSO sub（4）super（.H）sub（2），NaCl和NH sub（4）Cl是影响其的重要成分洛伐他汀的生产。使用响应面方法的全因子中心复合设计进一步优化了置信度超过95％的葡萄糖，蛋白4和MnSO sub（4）super（.H）sub（2）最重要的培养基成分。发酵14天后，在含有52.61 g l super（-1）蛋白ept，16.65 g l super（-1）葡萄糖的优化培养基中发酵14天后，最大洛伐他汀产量为97.5 mg l super（-1）。 NH sub（4）Cl，1 gl super（-1）; KH sub（2）PO sub（4），1 g l super（-1）;酵母提取物，3 gl super（-1）; K sub（2）HPO sub（4），1微升super（-1）; KNO sub（3），0.5 g l super（-1）; MgSO sub（4）super（.7H）sub（2），0.2克升super（-1）; MnSO sub（4）super（.H）sub（2），0.418 g l super（-1）;氯化钠，0.5克升super（-1）; CaCl sub（2）super（.2H）sub（2），0.1 gl super（-1）和FeSO sub（4）super（.7H）sub（2），0.001 gl super（-1）在30摄氏度和120 rpm。发现在深层发酵中，M。purpureus MTCC 369产生的洛伐他汀比基础培养基高四倍。统计实验设计可作为有效工具，以最少的实验次数筛选大量变量，并优化重要变量以提高洛伐他汀的产量。

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