Gupta Abhay, Peck Garnet E, Miller Ronald W, Morris Kenneth R
Department of Industrial and Physical Pharmacy, Purdue University School of Pharmacy, 575 Stadium Mall Drive, West Lafayette, IN 47907-2091, USA.
J Pharm Sci. 2005 Jul;94(7):1589-97. doi: 10.1002/jps.20375.
A method for real-time in-line near-infrared (NIR) monitoring of roller compaction is reported. Multivariate analysis using partial least square projections to latent structures (PLS) was used to relate the spectral data with key compact attributes: content uniformity, moisture content, relative density, tensile strength, and Young's modulus. NIR calibration curves were generated using the spectral data collected on simulated ribbons, that is, tablets prepared under uni-axial compression, and tested on the data collected on another set of simulated ribbons and by monitoring the ribbons as they exited the roller compactor. For all compact attributes, the NIR predicted values agreed well with the values measured using a reference method.
报道了一种用于实时在线近红外（NIR）监测滚压过程的方法。使用偏最小二乘投影到潜在结构（PLS）的多元分析，将光谱数据与关键压实属性相关联：含量均匀性、水分含量、相对密度、拉伸强度和杨氏模量。利用在模拟条带上收集的光谱数据生成近红外校准曲线，即通过单轴压缩制备的片剂，并在另一组模拟条带上收集的数据上进行测试，并在条带离开滚压机时对其进行监测。对于所有压实属性，近红外预测值与使用参考方法测量的值吻合良好。
