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首页> 外文期刊>Catalysis science & technology >Empirical modelling as an experimental approach to optimize lactone production
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Empirical modelling as an experimental approach to optimize lactone production

机译：经验模型作为优化内酯产生的实验方法

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摘要

The biotransformation of ricinoleic acid, carried out by Yarrowia lipolytica, leads to the formation of y-decalactone, a well-known peach-like aroma compound, interesting to produce and to use in the flavouring industry, reason why it is imperative to define the most appropriate conditions for its production. Thus, the aim of this work is the optimization of operating conditions for this lactone. However, as the accumulation of another compound, namely 3-hydroxy-γ-decalactone (the precursor of two other aromatic compounds, dec-2-enolide and dec-3-enolide), may also occur simultaneously in the biotransformation medium, and since this compound may as well be of interest for the flavouring industry, the operating conditions for its production were also a focus of attention. Therefore, a 3~2 level full-factorial design was used to determine the effect of pH and dissolved oxygen concentration (DO) on the production of y-decalactone and 3-hydroxy-γ-decalactone. Since both factors were found to influence the two lactones production, a response surface methodology (RSM) analysis was also applied to identify the optimal conditions for the production of those two compounds. The statistical model pointed out pH = 6.17 and DO = 44.4% as the best conditions optimizing y-decalactone production. Using these optimal conditions, the maximal γ-decalactone concentration achieved was 680.9 mg L~(-1), which was quite similar to the predicted value of 718.7 mg y-decalactone L~(-1). Among the range of operating conditions tested, no optimization was possible for 3-hydroxy-γ-decalactone production, since all possible solutions corresponded to operating conditions not analyzed.
机译：由Yarrowia Lipolytica进行的ricinoleic酸的生物转化导致形成Y-Decalactone，这是一种众所周知的桃红色香气化合物，在调味厂中生产和使用有趣，原因是定义的原因是最适合其生产条件。因此，这项工作的目的是优化该内酯的工作条件。然而，由于另一种化合物的积累，即3-羟基-γ-甲乳酸 - 丙酮（另外两种芳香族化合物的前体，即DEC-2-烯酰胺和DEC-3-烯酰胺），也可能同时在生物转化培养基中同时发生这种化合物也可能对调味行业感兴趣，其生产的运营条件也是关注的重点。因此，使用3〜2水平的全因素设计来确定pH和溶解氧浓度（DO）对Y-二烷酸和3-羟基-γ-二烷酮的产生的影响。由于发现这两个因素都会影响两种内酯的产生，因此还应用了反应表面方法论（RSM）分析以确定这两种化合物生产的最佳条件。统计模型指出pH = 6.17，DO = 44.4％是优化Y-二甲酮产生的最佳条件。使用这些最佳条件，达到的最大γ-二烷酮浓度为680.9 mg l〜（-1），与预测值718.7 mg y-decalactone l〜（-1）非常相似。在测试的操作条件范围内，由于所有可能的解决方案都对应于未分析的工作条件，因此3-羟基-γ-二甲酰基的产生不可能进行优化。

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