Literature DB >> 30029394

Near Infra-Red spectroscopy for content uniformity of powder blends - Focus on calibration set development, orthogonality transfer and robustness testing.

Tibor Casian1, Sonia Iurian2, Alexandru Gavan2, Cornelia Revnic3, Sebastian Porav4, Alina Porfire2, Laurian Vlase2, Ioan Tomuță2.   

Abstract

The aim of this work was to develop and validate a NIR method for the quantification of three active ingredients from powder blends. Calibration set formulations were selected based on a D-optimal experimental design with three factors (ibuprofen, paracetamol, caffeine) and five variation levels (80-90-100-110-120%). NIR spectra were recorded in transmittance mode using a rotating sample configuration. Prior to model development the effect of spectral pre-processing was assessed by evaluating its impact over the transfer of orthogonality from concentration space to spectral space. NIR method was validated on the full calibration range with external prediction sets, using the accuracy profile approach. Robustness testing results showed that the accuracy of predictions for the analyte found in lower concentrations (caffeine) was influenced by relative humidity, while paracetamol/ibuprofen predictions were robust to all factors. Redefinition of interfering factor variation level was beneficial to reduce the bias in caffeine content predictions. Also, alternative solutions are provided for ensuring robustness and successful routine use.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Near Infrared spectroscopy; Pharmaceutical powder blends; Process analytical technology; Robustness testing; Validation

Year:  2018        PMID: 30029394     DOI: 10.1016/j.talanta.2018.05.101

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


  4 in total

1.  Testing the Limits of a Portable NIR Spectrometer: Content Uniformity of Complex Powder Mixtures Followed by Calibration Transfer for In-Line Blend Monitoring.

Authors:  Tibor Casian; Alexandru Gavan; Sonia Iurian; Alina Porfire; Valentin Toma; Rares Stiufiuc; Ioan Tomuta
Journal:  Molecules       Date:  2021-02-20       Impact factor: 4.411

Review 2.  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

Review 3.  Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology-A Review.

Authors:  Tibor Casian; Brigitta Nagy; Béla Kovács; Dorián László Galata; Edit Hirsch; Attila Farkas
Journal:  Molecules       Date:  2022-07-28       Impact factor: 4.927

4.  In-Depth Understanding of Granule Compression Behavior under Variable Raw Material and Processing Conditions.

Authors:  Tibor Casian; Sonia Iurian; Alexandru Gâvan; Alina Porfire; Anca Lucia Pop; Simona Crișan; Anda Maria Pușcaș; Ioan Tomuță
Journal:  Pharmaceutics       Date:  2022-01-12       Impact factor: 6.321

  4 in total

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