Literature DB >> 17555618

Near-infrared spectroscopic method for real-time monitoring of pharmaceutical powders during voiding.

Martha J Barajas1, Alex Rodriguez Cassiani, Wandylis Vargas, Carlos Conde, Jorge Ropero, Jorge Figueroa, Rodolfo J Romañach.   

Abstract

A near-infrared (NIR) spectroscopic method has been developed to monitor flowing pharmaceutical powders during their voiding and detect post-blending segregation. The method is capable of providing both chemical and physical information (particle size differences) on the flowing pharmaceutical powders. Particle size differences are widely recognized as the predominant driver for segregation. Pharmaceutical powders may segregate following blending as they are voided down pipes to compressing machines, increasing the variability of the drug content and dissolution of the final product tablets because of segregation. NIR diffuse reflectance spectra of pharmaceutical powders were obtained following voiding through a six-foot pipe. Spectral subtraction was used to eliminate baseline differences but maintain particle size differences. The NIR spectra indicated differences in the particle size of the flowing powder. Particle size differences were also tracked throughout the voiding of pharmaceutical powders by plotting the absorbance at 1536 nm. The method was also applied to the voiding of two layers of lactose particles with different particle sizes. The system described in this report provides an approach to study post-blending segregation in pharmaceutical powders and other relevant materials.

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Year:  2007        PMID: 17555618     DOI: 10.1366/000370207780807713

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  1 in total

1.  Evaluation of three approaches for real-time monitoring of roller compaction with near-infrared spectroscopy.

Authors:  David Acevedo; Ariel Muliadi; Arun Giridhar; James D Litster; Rodolfo J Romañach
Journal:  AAPS PharmSciTech       Date:  2012-07-24       Impact factor: 3.246

  1 in total

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