Literature DB >> 23594301

Development and validation of NIR-chemometric methods for chemical and pharmaceutical characterization of meloxicam tablets.

Ioan Tomuta1, Rares Iovanov, Ede Bodoki, Loredana Vonica.   

Abstract

CONTEXT: Near-Infrared (NIR) spectroscopy is an important component of a Process Analytical Technology (PAT) toolbox and is a key technology for enabling the rapid analysis of pharmaceutical tablets.
OBJECTIVE: The aim of this research work was to develop and validate NIR-chemometric methods not only for the determination of active pharmaceutical ingredients content but also pharmaceutical properties (crushing strength, disintegration time) of meloxicam tablets.
MATERIALS AND METHODS: The development of the method for active content assay was performed on samples corresponding to 80%, 90%, 100%, 110% and 120% of meloxicam content and the development of the methods for pharmaceutical characterization was performed on samples prepared at seven different compression forces (ranging from 7 to 45 kN) using NIR transmission spectra of intact tablets and PLS as a regression method.
RESULTS: The results show that the developed methods have good trueness, precision and accuracy and are appropriate for direct active content assay in tablets (ranging from 12 to 18 mg/tablet) and also for predicting crushing strength and disintegration time of intact meloxicam tablets. DISCUSSION: The comparative data show that the proposed methods are in good agreement with the reference methods currently used for the characterization of meloxicam tablets (HPLC-UV methods for the assay and European Pharmacopeia methods for determining the crushing strength and disintegration time).
CONCLUSION: The results show the possibility to predict both chemical properties (active content) and physical/pharmaceutical properties (crushing strength and disintegration time) directly, without any sample preparation, from the same NIR transmission spectrum of meloxicam tablets.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23594301     DOI: 10.3109/03639045.2013.772193

Source DB:  PubMed          Journal:  Drug Dev Ind Pharm        ISSN: 0363-9045            Impact factor:   3.225


  1 in total

1.  Optimization of Parameter Selection for Partial Least Squares Model Development.

Authors:  Na Zhao; Zhi-sheng Wu; Qiao Zhang; Xin-yuan Shi; Qun Ma; Yan-jiang Qiao
Journal:  Sci Rep       Date:  2015-07-13       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.