Kona Ravikanth, Fahmy Raafat M, Claycamp Gregg, Polli James E, Martinez Marilyn, Hoag Stephen W
School of Pharmacy, University of Maryland, 20 N. Pine Street, Baltimore, Maryland, 21201, USA.
AAPS PharmSciTech. 2015 Feb;16(1):202-16. doi: 10.1208/s12249-014-0180-1. Epub 2014 Oct 16.
The objective of this study is to use near-infrared spectroscopy (NIRS) coupled with multivariate chemometric models to monitor granule and tablet quality attributes in the formulation development and manufacturing of ciprofloxacin hydrochloride (CIP) immediate release tablets. Critical roller compaction process parameters, compression force (CFt), and formulation variables identified from our earlier studies were evaluated in more detail. Multivariate principal component analysis (PCA) and partial least square (PLS) models were developed during the development stage and used as a control tool to predict the quality of granules and tablets. Validated models were used to monitor and control batches manufactured at different sites to assess their robustness to change. The results showed that roll pressure (RP) and CFt played a critical role in the quality of the granules and the finished product within the range tested. Replacing binder source did not statistically influence the quality attributes of the granules and tablets. However, lubricant type has significantly impacted the granule size. Blend uniformity, crushing force, disintegration time during the manufacturing was predicted using validated PLS regression models with acceptable standard error of prediction (SEP) values, whereas the models resulted in higher SEP for batches obtained from different manufacturing site. From this study, we were able to identify critical factors which could impact the quality attributes of the CIP IR tablets. In summary, we demonstrated the ability of near-infrared spectroscopy coupled with chemometrics as a powerful tool to monitor critical quality attributes (CQA) identified during formulation development.
本研究的目的是使用近红外光谱(NIRS)结合多元化学计量模型,在盐酸环丙沙星(CIP)速释片的制剂开发和生产过程中监测颗粒和片剂的质量属性。对从我们早期研究中确定的关键滚压工艺参数、压缩力(CFt)和制剂变量进行了更详细的评估。在开发阶段建立了多元主成分分析(PCA)和偏最小二乘(PLS)模型,并将其用作预测颗粒和片剂质量的控制工具。经过验证的模型用于监测和控制在不同地点生产的批次,以评估其对变化的稳健性。结果表明,在所测试的范围内,滚压压力(RP)和CFt对颗粒和成品的质量起着关键作用。更换粘合剂来源对颗粒和片剂的质量属性没有统计学影响。然而,润滑剂类型对颗粒大小有显著影响。使用经过验证的PLS回归模型预测了制造过程中的混合均匀性、压碎力、崩解时间,预测标准误差(SEP)值可接受,而对于从不同生产地点获得的批次,模型的SEP较高。通过这项研究,我们能够确定可能影响CIP速释片质量属性的关键因素。总之,我们证明了近红外光谱结合化学计量学作为一种强大工具来监测制剂开发过程中确定的关键质量属性(CQA)的能力。