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Monitoring and Quantification of Omeprazole Synthesis Reaction by In-Line Raman Spectroscopy and Characterization of the Reaction Components

机译:在线拉曼光谱法对奥美拉唑合成反应的监测和定量及其反应组分的表征

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摘要

The development of a quantitative in-line Raman spectroscopic method for the monitoring of the active pharmaceutical ingredient, omeprazole synthesis reaction, and characterization of the reaction components is described. In-line monitoring was performed both with Fourier transform and dispersive Raman spectrometers. Prior to reaction monitoring, the reaction components were characterized off-line by means of Raman and NMR spectroscopy, both in solution and in solid state. To unequivocally confirm the presence of each component in the reaction mixture, a state of the art LC-SPE/NMR methodology was also used. Owing to its higher sensitivity, dispersive Raman spectroscopy was further employed for quantification purposes. The spectroscopic measurements and the complementary HPLC analyses, used in the calibration development, were gathered from a set of experiments, performed at a 1 L scale. On the basis of the data set obtained from the calibration experiments, a predictive partial least-squares (PLS) regression model was developed for all three reaction components, enabling an accurate determination of the percentage of each component present in the reaction mixture, at any time after the point when 25% of the starting material has been consumed. The model was successfully used to monitor the reaction progress in a kilo-lab scale experiment and can further be used as a fast response analytical tool in process optimization. It also has the potential to be used as part of a feedback control loop in the production plant.
机译:描述了用于监测活性药物成分,奥美拉唑合成反应和反应成分表征的定量在线拉曼光谱方法的开发。在线监测使用傅里叶变换和色散拉曼光谱仪进行。在反应监测之前,通过拉曼和NMR光谱离线地以溶液和固体形式表征反应组分。为了明确确认反应混合物中每种成分的存在,还使用了最新的LC-SPE / NMR方法。由于其较高的灵敏度,色散拉曼光谱进一步用于定量分析。校准开发中使用的光谱测量和补充HPLC分析是从一组以1 L规模进行的实验中收集的。根据从校准实验获得的数据集,针对所有三个反应组分开发了预测性偏最小二乘(PLS)回归模型,从而能够准确确定反应混合物中每种组分在任何情况下的百分比25%的起始原料被消耗后的时间。该模型已成功用于在千实验室规模的实验中监测反应进度,并可进一步用作过程优化中的快速响应分析工具。它也有可能被用作生产工厂中的反馈控制回路的一部分。

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