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Monitoring and Control of a Continuous Grignard Reaction for the Synthesis of an Active Pharmaceutical Ingredient Intermediate Using Inline NIR spectroscopy

机译:使用在线近红外光谱法监测和控制用于合成活性药物成分中间体的连续格氏反应

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摘要

Inline near-infrared (NIR) spectroscopy has been used to monitor a continuous synthesis of an active pharmaceutical ingredient (API) intermediate by a Grignard alkylation reaction. The reaction between a ketone substrate and allylmagnesium chloride may form significant impurities with excess feeding of the Grignard reagent beyond the stoichiometric ratio. On the other hand, limiting this reagent would imply a loss in yield. Therefore, accurate dosing of the two reactants is essential. A feedforward–feedback control loop was conceived in order to maintain the reaction as closely as possible to the stoichiometric ratio, leading the path to full process automation. The feedback control loop relies on NIR transmission measurements performed in a flow cell where, in contrast to labor-intensive offline HPLC analytical methods, the whole reaction product can be scanned in real time without sample dilution. A robust PLS (projection to latent structures) model was developed with a satisfactory standard error of prediction, providing quantification of the ketone substrate in solutions with a high variability of the major solution component - the alkoxide product. In addition, model performance supervision tools such as the spectral residuals or simple plots of pretreated spectra can assist in the identification of spectral outliers, which in this case could be related to Grignard reagent excess. If the sampling time of the NIR instrument is short enough, manipulating the inputs to the reactor may be used to obtain information about its dynamic behavior. This information is very useful for process control design, assessment of analytical tools and definition of sampling times. In this work, a systematic procedure for chemometric model building is followed, after which a discussion is made on some of the potential applications that can be found when exploiting the fast and rich information provided by NIR spectroscopy.
机译:在线近红外(NIR)光谱已用于监视通过格氏(Grignard)烷基化反应进行的活性药物成分(API)中间体的连续合成。在格氏试剂过量进料超过化学计量比的情况下,酮底物与烯丙基氯化镁之间的反应可能形成大量杂质。另一方面,限制该试剂将意味着产率损失。因此,两种反应物的准确加料至关重要。为了使反应尽可能接近化学计量比,设计了前馈-反馈控制回路,从而实现了全过程自动化。反馈控制回路依赖于在流通池中执行的NIR传输测量,与劳动密集型离线HPLC分析方法相比,整个实时反应产物无需样品稀释即可进行实时扫描。开发了鲁棒的PLS(对潜在结构的投影)模型,该模型具有令人满意的预测标准误差,可提供主要溶液组分(醇盐产物)变化较大的溶液中酮底物的定量分析。此外,模型性能监督工具(例如光谱残差或预处理光谱的简单图)可以帮助识别光谱离群值,在这种情况下,这可能与格氏试剂过量有关。如果NIR仪器的采样时间足够短,则可以使用操纵反应堆的输入来获取有关其动态行为的信息。该信息对于过程控制设计,评估分析工具和定义采样时间非常有用。在这项工作中,遵循化学计量学模型构建的系统步骤,然后讨论了在利用NIR光谱学提供的快速而丰富的信息时可以发现的一些潜在应用。

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