Xie Yong, Tao Wenle, Morrison Henry, Chiu Rick, Jona Janan, Fang Jan, Cauchon Nina
Pharmaceutics Department, Amgen Inc., One Amgen Center Dr., Thousand Oaks, CA 91320, USA.
Int J Pharm. 2008 Oct 1;362(1-2):29-36. doi: 10.1016/j.ijpharm.2008.05.038. Epub 2008 Jun 7.
Common analytical techniques including Raman, NIR, and XRD were evaluated for quantitative determination of three solid-state forms (amorphous, Form B and Form C) of a development compound. Raman spectroscopy was selected as the primary analytical technique with sufficient sensitivity to monitor and quantify the neat drug substance alone and in the drug product. A reliable multivariate curve resolution (MCR) method based on the second derivative Raman measurements of the three pure physical forms was developed and validated with 3.5% root mean square error of prediction (RMSEP) for Form B, which was selected as the preferred form for further development. A partial least squares (PLS) algorithm was also used for the multivariate calibration of both the NIR and Raman measurements. The long-term stability of Form B as a neat active pharmaceutical ingredient (API) and in a tablet formulation was quantitatively monitored under various stress conditions of temperature and moisture. Moisture, temperature, excipients and compression were found to have significant effects on the phase transition behavior of Form B.
对拉曼光谱(Raman)、近红外光谱(NIR)和X射线衍射(XRD)等常用分析技术进行了评估,以定量测定一种处于研发阶段的化合物的三种固态形式(无定形、晶型B和晶型C)。拉曼光谱被选为主要分析技术,其灵敏度足以单独监测和定量原料药以及制剂中的原料药。基于三种纯物理形式的二阶导数拉曼测量结果,开发了一种可靠的多元曲线分辨(MCR)方法,并进行了验证,晶型B的预测均方根误差(RMSEP)为3.5%,该晶型被选为进一步开发的首选晶型。偏最小二乘法(PLS)算法也用于近红外和拉曼测量的多元校准。在温度和湿度的各种应力条件下,对晶型B作为原料药和片剂制剂的长期稳定性进行了定量监测。发现水分、温度、辅料和压片对晶型B的相变行为有显著影响。