Literature DB >> 15935597

Prediction of drug dissolution profiles from tablets using NIR diffuse reflectance spectroscopy: a rapid and nondestructive method.

Matheus P Freitas1, Andréia Sabadin, Leandro M Silva, Fábio M Giannotti, Débora A do Couto, Edivan Tonhi, Renato S Medeiros, Gislaine L Coco, Valter F T Russo, José A Martins.   

Abstract

A comparison between dissolution profiles obtained by using a dissolution apparatus (conventional method) and the NIR diffuse reflectance spectra of a series of clonazepam-containing batches is reported. Ten different formulations with fixed amount of clonazepam and varying proportions of excipients were analyzed at seven dissolution times and three different media. The percentages of dissolution of each sample were correlated with the NIR spectra of three tablets of each batch, through a multivariate analysis using the PLS regression algorithm. The squared correlation coefficients for the plots of percentages of dissolution from the equipment laboratory (dissolution apparatus and HPLC determination) versus the predicted values, in the leave-one-out cross-validation, varied from 0.80 to 0.92, indicating that the NIR diffuse reflectance spectroscopy method is an alternative, nondestructive tool for measurement of drug dissolution from tablets.

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Year:  2005        PMID: 15935597     DOI: 10.1016/j.jpba.2005.03.023

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


  3 in total

Review 1.  The science of USP 1 and 2 dissolution: present challenges and future relevance.

Authors:  Vivian Gray; Gregg Kelly; Min Xia; Chris Butler; Saji Thomas; Stephen Mayock
Journal:  Pharm Res       Date:  2009-01-23       Impact factor: 4.200

2.  Fast, Spectroscopy-Based Prediction of In Vitro Dissolution Profile of Extended Release Tablets Using Artificial Neural Networks.

Authors:  Dorián László Galata; Attila Farkas; Zsófia Könyves; Lilla Alexandra Mészáros; Edina Szabó; István Csontos; Andrea Pálos; György Marosi; Zsombor Kristóf Nagy; Brigitta Nagy
Journal:  Pharmaceutics       Date:  2019-08-09       Impact factor: 6.321

Review 3.  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

  3 in total

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