At-line determination of pharmaceuticals small molecule's blending end point using chemometric modeling combined with Fourier transform near infrared spectroscopy

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• 作者：Jagdish Tewari ; ^{jagdish.tewari@biogen.com} ; Richard Strong ; Pierre Boulas
• 关键词：Blend uniformity ; Chemometric ; FT-NIR ; Partial least squares (PLS1 ; PLS2) ; Principal component regression (PCR) ; Artificial neural network (ANN) ; Figures of merit
• 刊名：Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：173
• 期：Complete
• 页码：886-891
• 全文大小：607 K
• 卷排序：173

文摘

FTNIR technique was used for at-line determination of blend uniformity. Multiple chemometric algorithms were evaluated for the best predictions of blend uniformity Selection of best algorithm for blend uniformity