Literature DB >> 22385804

A novel in-line NIR spectroscopy application for the monitoring of tablet film coating in an industrial scale process.

C-V Möltgen1, T Puchert, J C Menezes, D Lochmann, G Reich.   

Abstract

Film coating of tablets is a multivariate pharmaceutical unit operation. In this study an innovative in-line Fourier-Transform Near-Infrared Spectroscopy (FT-NIRS) application is described which enables real-time monitoring of a full industrial scale pan coating process of heart-shaped tablets. The tablets were coated with a thin hydroxypropyl methylcellulose (HPMC) film of up to approx. 28 μm on the tablet face as determined by SEM, corresponding to a weight gain of 2.26%. For a better understanding of the aqueous coating process the NIR probe was positioned inside the rotating tablet bed. Five full scale experimental runs have been performed to evaluate the impact of process variables such as pan rotation, exhaust air temperature, spray rate and pan load and elaborate robust and selective quantitative calibration models for the real-time determination of both coating growth and tablet moisture content. Principal Component (PC) score plots allowed each coating step, namely preheating, spraying and drying to be distinguished and the dominating factors and their spectral effects to be identified (e.g. temperature, moisture, coating growth, change of tablet bed density, and core/coat interactions). The distinct separation of HPMC coating growth and tablet moisture in different PCs enabled a real-time in-line monitoring of both attributes. A PLS calibration model based on Karl Fischer reference values allowed the tablet moisture trajectory to be determined throughout the entire coating process. A 1-latent variable iPLS weight gain calibration model with calibration samples from process stages dominated by the coating growth (i.e. ≥ 30% of the theoretically applied amount of coating) was sufficiently selective and accurate to predict the progress of the thin HPMC coating layer. At-line NIR Chemical Imaging (NIR-CI) in combination with PLS Discriminant Analysis (PLSDA) verified the HPMC coating growth and physical changes at the core/coat interface during the initial stages of the coating process. In addition, inter- and intra-tablet coating variability throughout the process could be assessed. These results clearly demonstrate that in-line NIRS and at-line NIR-CI can be applied as complimentary PAT tools to monitor a challenging pan coating process. Copyright Â
© 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22385804     DOI: 10.1016/j.talanta.2011.12.034

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  5 in total

1.  Optimization of Critical Quality Attributes in Tablet Film Coating and Design Space Determination Using Pilot-Scale Experimental Data.

Authors:  Huolong Liu; Robert Meyer; Matthew Flamm; Laura Wareham; Matthew Metzger; Anthony Tantuccio; Seongkyu Yoon
Journal:  AAPS PharmSciTech       Date:  2021-01-03       Impact factor: 3.246

2.  Compilation of a Near-Infrared Library for Construction of Quantitative Models of Oral Dosage Forms for Amoxicillin and Potassium Clavulanate.

Authors:  Wen-Bo Zou; Xiao-Meng Chong; Yan Wang; Chang-Qin Hu
Journal:  Front Chem       Date:  2018-05-24       Impact factor: 5.221

3.  Accuracy Improvement of In-line Near-Infrared Spectroscopic Moisture Monitoring in a Fluidized Bed Drying Process.

Authors:  Andrey Bogomolov; Joachim Mannhardt; Oliver Heinzerling
Journal:  Front Chem       Date:  2018-10-10       Impact factor: 5.221

4.  Image-Based Artificial Intelligence Methods for Product Control of Tablet Coating Quality.

Authors:  Cosima Hirschberg; Magnus Edinger; Else Holmfred; Jukka Rantanen; Johan Boetker
Journal:  Pharmaceutics       Date:  2020-09-15       Impact factor: 6.321

Review 5.  Pharmaceutical application of multivariate modelling techniques: a review on the manufacturing of tablets.

Authors:  Guolin Shi; Longfei Lin; Yuling Liu; Gongsen Chen; Yuting Luo; Yanqiu Wu; Hui Li
Journal:  RSC Adv       Date:  2021-02-23       Impact factor: 3.361

  5 in total

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