Karimi-Jafari Maryam, Soto Rodrigo, Albadarin Ahmad B, Croker Denise, Walker Gavin
Synthesis & Solid State Pharmaceutical Centre (SSPC), Department of Chemical Sciences, Bernal Institute, University of Limerick, Limerick, Ireland.
Department of Chemical Sciences, Bernal Institute, University of Limerick, Limerick, Ireland.
Int J Pharm. 2021 May 15;601:120555. doi: 10.1016/j.ijpharm.2021.120555. Epub 2021 Mar 31.
The application of in-line Raman spectroscopy to monitor the formation of a 1:1 cocrystal of ibuprofen (IBU) as a BCS class II drug and nicotinamide as coformer using hot-melt extrusion (HME) was investigated. The process was monitored over different experimental conditions inserting the Raman probe before the extruder die. Partial least square (PLS) was applied as a robust chemometric technique to build predictive models at different levels of chemometric by dividing the experimental data set into calibration and validation subsets. Powder X-Ray diffraction (PXRD) spectra of a set of standard samples were used as calibration to calculate the cocrystal yield from HME experiments regressed by the PLS models. Examination of the full spectra with standard normal variate (SNV) scatter correction with first derivative provided the best fitting goodness and reliability for prediction. Differential scanning calorimetry (DSC) was used as a complementary technique to confirm the composition of the extrudates. Tracking the cocrystal formation throughout the barrel by inserting two Raman probes simultaneously in two different heating zones revealed highly valuable information for understanding the mechanism of cocrystal formation during the HME process.
研究了采用在线拉曼光谱法监测布洛芬(IBU,一种BCS II类药物)与共形成剂烟酰胺通过热熔挤出(HME)形成1:1共晶体的过程。在不同实验条件下,通过在挤出机模头前插入拉曼探头对该过程进行监测。应用偏最小二乘法(PLS)作为一种稳健的化学计量学技术,通过将实验数据集划分为校准子集和验证子集,在不同化学计量学水平上建立预测模型。使用一组标准样品的粉末X射线衍射(PXRD)光谱作为校准,以计算由PLS模型回归的HME实验中的共晶体产率。用一阶导数的标准正态变量(SNV)散射校正对全光谱进行检查,为预测提供了最佳的拟合优度和可靠性。差示扫描量热法(DSC)用作补充技术来确认挤出物的组成。通过在两个不同加热区同时插入两个拉曼探头来跟踪整个料筒中共晶体的形成,为理解HME过程中共晶体形成的机制提供了非常有价值的信息。