Literature DB >> 21635256

Quantitative analysis of pseudopolymorphic transformation of imidafenacin by application of a novel combination of near-infrared spectroscopy and a humidity-controlled 96-well plate.

Hiroshi Uchida1, Makoto Otsuka.   

Abstract

OBJECTIVES: This study was conducted to test whether our novel combination (i.e. microanalysis) of near-infrared (NIR) spectroscopy and humidity-controlled 96-well plate, reported in a previous issue of this journal, can be successfully applied to quantitative evaluation of the pseudopolymorphic transformation of imidafenacin.
METHODS: Sample powders of a drug compound were placed in a humidity-controlled 96-well plate containing various saturated salt solutions, and stored at 35°C. NIR spectra were collected using a Fourier transform-NIR spectrometer in combination with a fiber-optic probe. The actual hydrate contents of samples were determined by using thermal gravimetric analysis (TGA). A series of sets of NIR spectra and TGA data were used to establish a calibration model with which to predict the contents of monohydrate by partial least-squares regression (PLS). KEY
FINDINGS: The PLS calibration model analysis showed that the plots of NIR predicted values to the actual values gave a straight line with correlation coefficients of 0.9868 and 0.9936, respectively, for the 96-well plate and glass-bottle uses. The model using the 96-well plate was therefore able to predict the transformation of imidafenacin in one form to another form as quantitatively as the conventional model using glass bottles.
CONCLUSION: The present study confirmed that our microanalysis quantitatively predicts the pseudopolymorphic transformation of our tested drug in small amounts and suggests that this particular method is a simple and convenient one that may be efficiently applied to polymorphic and pseudopolymorphic studies of a hygroscopic drug candidate, at even earlier development stages than the conventional method using glass bottles.
© 2011 The Authors. JPP © 2011 Royal Pharmaceutical Society.

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Year:  2011        PMID: 21635256     DOI: 10.1111/j.2042-7158.2011.01297.x

Source DB:  PubMed          Journal:  J Pharm Pharmacol        ISSN: 0022-3573            Impact factor:   3.765


  1 in total

1.  Partial Least Squares Regression-Based Robust Forward Control of the Tableting Process.

Authors:  Yusuke Hattori; Miki Naganuma; Makoto Otsuka
Journal:  Pharmaceutics       Date:  2020-01-20       Impact factor: 6.321

  1 in total

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