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Updated: Feb 22, 2026

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
Published on: November 8, 2019
A robust quantitative near infrared modeling approach for blend monitoring
Shikhar Mohan1, Wataru Momose2, Jeffrey M Katz3
1Duquesne Center for Pharmaceutical Technology, Duquesne University, Pittsburgh, PA 15282, United States; Duquesne University Graduate School for Pharmaceutical Sciences, Pittsburgh, PA 15282, United States.
Abstract:
This study demonstrates a material sparing Near-Infrared modeling approach for powder blend monitoring. In this new approach, gram scale powder mixtures are subjected to compression loads to simulate the effect of scale using an Instron universal testing system. Models prepared by the new method development approach (small-scale method) and by a traditional method development (blender-scale method) were compared by simultaneously monitoring a 1kg batch size blend run. Both models demonstrated similar model performance. The small-scale method strategy significantly reduces the total resources expended to develop Near-Infrared calibration models for on-line blend monitoring. Further, this development approach does not require the actual equipment (i.e., blender) to which the method will be applied, only a similar optical interface. Thus, a robust on-line blend monitoring method can be fully developed before any large-scale blending experiment is viable, allowing the blend method to be used during scale-up and blend development trials.
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