Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Harelbekestraat 72, 9000 Ghent, Belgium.
Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Harelbekestraat 72, 9000 Ghent, Belgium.
Anal Chim Acta. 2014 Jan 2;806:180-7. doi: 10.1016/j.aca.2013.11.020. Epub 2013 Nov 19.
A calibration model for in-line API determination was developed based on Raman spectra collected during hot-melt extrusion. This predictive model was validated by calculating the accuracy profile based on the analysis results of validation experiments. Furthermore, based on the data of the accuracy profile, the measurement uncertainty was determined. Finally, the robustness of the model was evaluated. A Raman probe was implemented in the die of a twin-screw extruder, to monitor the drug concentration during extrusion of physical mixtures containing 15, 20, 25, 30 and 35% (w/w) metoprolol tartrate (MPT) in Eudragit(®) RS PO, an amorphous copolymer of acrylic and methacrylic acid esters with a low content of quaternary ammonium groups, which are present as salts. Several different calibration models for the prediction of the MPT content were developed, based on the use of single spectra or averaged spectra, and using partial least squares (PLS) regression or multivariate curve resolution (MCR). These predictive models were validated by extruding and monitoring mixtures containing 17.5, 22.5, 25.0, 27.5 and 32.5% (w/w) MPT. Each validated concentration was monitored on three different days, by two different operators. The β-expectation tolerance intervals were calculated for each model and for each of the validated MPT concentration levels (β was set at 95%), and acceptance limits were set at 10% (relative bias), indicating that at least 95% of future measurements should not deviate more than 10% from the true value. The only model where these acceptance limits were not exceeded was the MCR model based on averaged Raman spectra. The uncertainty measurements for this model showed that the unknown true value can be found at a maximum of ±7.00% around the measured result, with a confidence level of 95%. The robustness of this model was evaluated via an experimental design varying throughput, screw speed and barrel temperature. The robustness designs showed no significant influence of any of the process settings on the predicted concentration values. Raman spectroscopy proved to be a fast, non-destructive and reliable method for the quantification of MPT during hot-melt extrusion. From the accuracy profile of the MCR model based on averaged spectra, it was concluded that for each MPT concentration in the validated concentration range, 95 out 100 future routine measurements will be included within the acceptance limits (10%).
基于热熔挤出过程中采集的拉曼光谱,建立了 API 在线测定的校准模型。该预测模型通过基于验证实验分析结果计算准确度轮廓进行验证。此外,基于准确度轮廓的数据,确定了测量不确定度。最后,评估了模型的稳健性。在双螺杆挤出机的模具中实施了拉曼探头,以监测含有 15%、20%、25%、30%和 35%(w/w)酒石酸美托洛尔(MPT)的物理混合物在 Eudragit®RS PO 中挤出过程中的药物浓度,Eudragit®RS PO 是一种低含量季铵盐的丙烯酸和甲基丙烯酸酯的无定形共聚物。基于使用单光谱或平均光谱,并使用偏最小二乘(PLS)回归或多元曲线分辨(MCR),开发了几种不同的预测 MPT 含量的校准模型。通过挤出和监测含有 17.5%、22.5%、25.0%、27.5%和 32.5%(w/w)MPT 的混合物来验证这些预测模型。每个验证的浓度由两名不同的操作员在三天内进行监测。为每个模型和每个验证的 MPT 浓度水平计算了 β-期望容忍区间(β设定为 95%),并设定了 10%(相对偏差)的可接受限,表明未来至少 95%的测量值不应偏离真实值超过 10%。唯一没有超过这些可接受限的模型是基于平均拉曼光谱的 MCR 模型。该模型的不确定度测量表明,在 95%置信水平下,未知真实值可以在测量结果周围最大±7.00%的范围内找到。通过改变吞吐量、螺杆速度和筒温度的实验设计来评估该模型的稳健性。稳健性设计表明,任何工艺参数设置对预测浓度值都没有显著影响。拉曼光谱法被证明是热熔挤出过程中 MPT 定量的一种快速、无损和可靠的方法。从基于平均光谱的 MCR 模型的准确度轮廓可以得出结论,在验证的浓度范围内的每个 MPT 浓度下,未来 100 次例行测量中有 95 次将包含在可接受限(10%)内。