首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Optimization of the Culture Medium Composition to Improve the Production of Hyoscyamine in Elicited Datura stramonium L. Hairy Roots Using the Response Surface Methodology (RSM)
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Optimization of the Culture Medium Composition to Improve the Production of Hyoscyamine in Elicited Datura stramonium L. Hairy Roots Using the Response Surface Methodology (RSM)

机译:使用响应面法(RSM)优化培养基成分以提高淡水曼陀罗毛状根中丝胺的生产

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摘要

Traditionally, optimization in biological analyses has been carried out by monitoring the influence of one factor at a time; this technique is called one-variable-at-a-time. The disadvantage of this technique is that it does not include any interactive effects among the variables studied and requires a large number of experiments. Therefore, in recent years, the Response Surface Methodology (RSM) has become the most popular optimization method. It is an effective mathematical and statistical technique which has been widely used in optimization studies with minimal experimental trials where interactive factors may be involved. This present study follows on from our previous work, where RSM was used to optimize the B5 medium composition in [NO3−], [Ca2+] and sucrose to attain the best production of hyoscyamine (HS) from the hairy roots (HRs) of Datura stramonium elicited by Jasmonic Acid (JA). The present paper focuses on the use of the RSM in biological studies, such as plant material, to establish a predictive model with the planning of experiments, analysis of the model, diagnostics and adjustment for the accuracy of the model. With the RSM, only 20 experiments were necessary to determine optimal concentrations. The model could be employed to carry out interpolations and predict the response to elicitation. Applying this model, the optimization of the HS level was 212.7% for the elicited HRs of Datura stramonium, cultured in B5-OP medium (optimized), in comparison with elicited HRs cultured in B5 medium (control). The optimal concentrations, under experimental conditions, were determined to be: 79.1 mM [NO3−], 11.4 mM [Ca2+] and 42.9 mg/L of sucrose.
机译:传统上,生物学分析的优化是通过一次监测一个因素的影响来进行的。这项技术一次称为一次变量。该技术的缺点是它不包括所研究的变量之间的任何交互作用,并且需要大量的实验。因此,近年来,响应曲面方法(RSM)成为最流行的优化方法。这是一种有效的数学和统计技术,已被广泛用于优化研究,而其中涉及交互因素的实验最少。本研究是在我们之前的工作基础上进行的,其中使用RSM优化了[NO 3-],[Ca 2 + ]和蔗糖中B5培养基的组成,以达到茉莉酸(JA)引起的曼陀罗的毛状根(HRs)产生最佳的丝胺(HS)。本文着重于RSM在诸如植物材料等生物学研究中的使用,以通过实验计划,模型分析,诊断以及模型准确性的调整来建立预测模型。使用RSM,只需20个实验即可确定最佳浓度。该模型可用于执行插值并预测对启发的响应。应用该模型,与在B5培养基(对照)中培养的HR相比,在B5-OP培养基中培养(优化)的曼陀罗的HR的HS水平的优化为212.7%。在实验条件下确定的最佳浓度为:79.1 mM [NO 3-],11.4 mM [Ca 2 + ]和42.9 mg / L蔗糖。

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