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Online NMR and HPLC as a Reaction Monitoring Platform for Pharmaceutical Process Development

机译:在线NMR和HPLC作为制药过程开发的反应监测平台

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Detector response is not always equivalent between detectors or instrument types. Factors that impact detector response include molecular structure and detection wavelength. In liquid chromatography (LC), ultraviolet (UV) is often the primary detector; however, without determination of UV response factors for each analyte, chromatographic results are reported on an area percent rather than a weight percent. In extreme cases, response factors can differ by several orders of magnitude for structurally dissimilar compounds, making the uncalibrated data useless for quantitative applications. While impurity reference standards are normally used to calculate UV relative response factors (RRFs), reference standards of reaction mixture components are typically not available during route scouting or in the early stages of process development. Here, we describe an approach to establish RRFs from a single experiment using both online nuclear magnetic resonance (NMR) and LC. NMR is used as a mass detector from which a UV response factor can be determined to correct the high performance liquid chromatography (HPLC) data. Online reaction monitoring using simultaneous NMR and HPLC provides a platform to expedite the development and understanding of pharmaceutical reaction processes. Ultimately, the knowledge provided by a structurally information rich technique such as NMR can be correlated with more prevalent and mobile instrumentation [e.g., LC, mid-infrared spectrometers (MIR)] for additional routine process understanding and optimization.
机译:检测器响应在检测器或仪器类型之间并不总是相等的。影响检测器响应的因素包括分子结构和检测波长。在液相色谱(LC)中,紫外线(UV)通常是主要的检测器。但是,在未确定每种分析物的紫外线响应因子的情况下,色谱结果以面积百分比而不是重量百分比报告。在极端情况下,结构上不同的化合物的响应因子可能相差几个数量级,从而使未经校准的数据无法用于定量应用。尽管通常使用杂质参考标准品来计算UV相对响应因子(RRF),但通常在路线探索期间或工艺开发的早期阶段无法获得反应混合物组分的参考标准品。在这里,我们描述了一种使用在线核磁共振(NMR)和LC的单一实验建立RRF的方法。 NMR用作质量检测器,可从中确定UV响应因子以校正高效液相色谱(HPLC)数据。使用同时进行的NMR和HPLC进行在线反应监测可提供一个平台,以加快药物反应过程的开发和理解。最终,由诸如NMR之类的结构信息丰富的技术所提供的知识可以与更流行的移动仪器(例如LC,中红外光谱仪(MIR))相关联,以实现对常规过程的更多了解和优化。

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