Determining API domain sizes in pharmaceutical tablets and blends upon varying milling conditions by near-infrared chemical imaging

A blend–mill–blend process is commonly used in tablet manufacturing. This process uses a screening mill to de-lump the agglomerates potentially present in the active pharmaceutical ingredient (API) and/or the excipients to promote better mixing and blend homogeneity. As a part of the study in which various process conditions were explored to better understand the manufacturing of a pharmaceutical formulation in development, two batches were manufactured using different mill screen sizes and were compared to an unmilled batch. Near-infrared (NIR) chemical imaging was used to provide information on API domains in these three samples. Both tablets and blends from the three batches were imaged and the results were compared with the content uniformity data of the tablets. The simplest imaging approach (univariate) was used for producing the API images. Experimentally, the importance and priority was given to the speed of the acquisition and the number of images acquired in order to provide sufficient evidence for the presence or lack of agglomeration. Significant API agglomeration was found in both blends and tablets in the samples from the unmilled batch, clearly differing from the occasional and much smaller lumps found in the blends and tablets in the batches utilizing the milling screens. This study demonstrates an efficient and feasible process analytical technology (PAT) offline application of chemical imaging to provide better process understanding and identify criticality of particular process steps to ensure content uniformity.

[1]  S. Šašić Parallel imaging of active pharmaceutical ingredients in some tablets and blends on Raman and near-infrared mapping and imaging platforms , 2011 .

[2]  P J Cullen,et al.  Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control. , 2008, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[3]  Matthew P. Nelson,et al.  Raman Chemical Imaging for Ingredient-specific Particle Size Characterization of Aqueous Suspension Nasal Spray Formulations: A Progress Report , 2007, Pharmaceutical Research.

[4]  S. Kazarian,et al.  Effect of moisture and pressure on tablet compaction studied with FTIR spectroscopic imaging. , 2007, Journal of pharmaceutical sciences.

[5]  Kinam Park,et al.  In situ visualization of paclitaxel distribution and release by coherent anti-Stokes Raman scattering microscopy. , 2006, Analytical chemistry.

[6]  R. Bro,et al.  Near-infrared chemical imaging (NIR-CI) on pharmaceutical solid dosage forms-comparing common calibration approaches. , 2008, Journal of pharmaceutical and biomedical analysis.

[7]  Slobodan Sasić Chemical imaging of pharmaceutical granules by Raman global illumination and near-infrared mapping platforms. , 2008, Analytica chimica acta.

[8]  C. Gendrin,et al.  Monitoring galenical process development by near infrared chemical imaging: one case study. , 2008, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[9]  E. Widjaja,et al.  Application of Raman microscopy and band-target entropy minimization to identify minor components in model pharmaceutical tablets. , 2008, Journal of pharmaceutical and biomedical analysis.

[10]  Slobodan Sasić,et al.  An In-Depth Analysis of Raman and Near-Infrared Chemical Images of Common Pharmaceutical Tablets , 2007, Applied spectroscopy.

[11]  J. Kauffman,et al.  Raman spectroscopy of coated pharmaceutical tablets and physical models for multivariate calibration to tablet coating thickness. , 2007, Journal of pharmaceutical and biomedical analysis.

[12]  S. Šašiċ,et al.  Raman chemical mapping of low-content active pharmaceutical ingredient formulations. III. Statistically optimized sampling and detection of polymorphic forms in tablets on stability. , 2012, Analytical chemistry.

[13]  Raman Mapping of Low-Content Active-Ingredient Pharmaceutical Formulations. Part II: Statistically Optimized Sampling for Detection of Less Than 1% of an Active Pharmaceutical Ingredient , 2008, Applied spectroscopy.