Literature DB >> 23347649

High-throughput NIR-chemometric methods for determination of drug content and pharmaceutical properties of indapamide tablets.

Ioan Tomuta1, Lucia Rus, Rares Iovanov, Luca Liviu Rus.   

Abstract

This paper describes the development, validation and application of NIR-chemometric methods for API content and pharmaceutical characterization (disintegration time and crushing strength) of indapamide intact tablets. Development of the method for chemical characterization was performed on samples corresponding to 80, 90, 100, 110 and 120% of indapamide content and for pharmaceutical characterization on samples prepared at nine different compression forces (covering the interval 7-45 kN). NIR spectra of prepared tablets were recorded in transmission mode, and partial least-squares followed by leave-one-out cross-validation were used to develop models for the prediction of the drug content and the pharmaceutical properties of tablets. All developed models were validated in terms of trueness, precision and accuracy. No statistical differences were found between results predicted by NIR-chemometric methods and the ones determined by reference methods. Therefore, the developed NIR-chemometric methods meet the requirements of a high-throughput method for the determination of drug content, pharmaceutical properties of indapamide tablets.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemometrics; Indapamide; NIR spectroscopy; Tablets crushing strength; Tablets disintegration time

Mesh:

Substances:

Year:  2012        PMID: 23347649     DOI: 10.1016/j.jpba.2012.12.020

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  2 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

  2 in total

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