Literature DB >> 28746834

Development of an analytical method for crystalline content determination in amorphous solid dispersions produced by hot-melt extrusion using transmission Raman spectroscopy: A feasibility study.

L Netchacovitch1, E Dumont2, J Cailletaud2, J Thiry3, C De Bleye2, P-Y Sacré2, M Boiret4, B Evrard3, Ph Hubert2, E Ziemons2.   

Abstract

The development of a quantitative method determining the crystalline percentage in an amorphous solid dispersion is of great interest in the pharmaceutical field. Indeed, the crystalline Active Pharmaceutical Ingredient transformation into its amorphous state is increasingly used as it enhances the solubility and bioavailability of Biopharmaceutical Classification System class II drugs. One way to produce amorphous solid dispersions is the Hot-Melt Extrusion (HME) process. This study reported the development and the comparison of the analytical performances of two techniques, based on backscattering and transmission Raman spectroscopy, determining the crystalline remaining content in amorphous solid dispersions produced by HME. Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression were performed on preprocessed data and tended towards the same conclusions: for the backscattering Raman results, the use of the DuoScan™ mode improved the PCA and PLS results, due to a larger analyzed sampling volume. For the transmission Raman results, the determination of low crystalline percentages was possible and the best regression model was obtained using this technique. Indeed, the latter acquired spectra through the whole sample volume, in contrast with the previous surface analyses performed using the backscattering mode. This study consequently highlighted the importance of the analyzed sampling volume.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amorphous solid dispersions; Analyzed sampling volume; Confocal Raman microspectroscopy; Crystalline content; Hot-melt-extrusion; Transmission Raman spectroscopy

Mesh:

Year:  2017        PMID: 28746834     DOI: 10.1016/j.ijpharm.2017.07.052

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  5 in total

1.  Inline UV/Vis spectroscopy as PAT tool for hot-melt extrusion.

Authors:  Jens Wesholowski; Sebastian Prill; Andreas Berghaus; Markus Thommes
Journal:  Drug Deliv Transl Res       Date:  2018-12       Impact factor: 4.617

2.  Development and Validation of an In-Line API Quantification Method Using AQbD Principles Based on UV-Vis Spectroscopy to Monitor and Optimise Continuous Hot Melt Extrusion Process.

Authors:  Juan Almeida; Mariana Bezerra; Daniel Markl; Andreas Berghaus; Phil Borman; Walkiria Schlindwein
Journal:  Pharmaceutics       Date:  2020-02-12       Impact factor: 6.321

3.  Determination of the physical state of a drug in amorphous solid dispersions using artificial neural networks and ATR-FTIR spectroscopy.

Authors:  Afroditi Kapourani; Vasiliki Valkanioti; Konstantinos N Kontogiannopoulos; Panagiotis Barmpalexis
Journal:  Int J Pharm X       Date:  2020-12-08

Review 4.  A Review of Pharmaceutical Robot based on Hyperspectral Technology.

Authors:  Xuesan Su; Yaonan Wang; Jianxu Mao; Yurong Chen; ATing Yin; Bingrui Zhao; Hui Zhang; Min Liu
Journal:  J Intell Robot Syst       Date:  2022-07-22       Impact factor: 3.129

5.  Prediction of Solid-State Form of SLS 3D Printed Medicines Using NIR and Raman Spectroscopy.

Authors:  Sarah J Trenfield; Patricija Januskaite; Alvaro Goyanes; David Wilsdon; Martin Rowland; Simon Gaisford; Abdul W Basit
Journal:  Pharmaceutics       Date:  2022-03-08       Impact factor: 6.321

  5 in total

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