Literature DB >> 11170029

Low-level determination of polymorph composition in physical mixtures by near-infrared reflectance spectroscopy.

A D Patel1, P E Luner, M S Kemper.   

Abstract

Near-infrared reflectance spectroscopy (NIRS) was employed to quantify sulfathiazole (STZ) forms I and III in binary physical mixtures in which one form was the dominant component. Physical mixtures of the polymorph pair were made by weight, ranging from 0 to 5% STZ form I mixed with STZ form III, and near-infrared spectra of the powder samples contained in glass vials were obtained over the wavelength region of 1100 to 2500 nm. A calibration plot was constructed by plotting STZ form I weight percent against a ratio of second-derivative values of log (1/R') (where R' is the relative reflectance) versus wavelength. The coefficients of determination, R(2), were > 0.9983 and standard errors were low for these calibration models. The instrument reproducibility, method error, and limits of detection (LOD) and quantification (LOQ) of the method were assessed. The LOD and LOQ were determined from the standard deviation of the response of the 0% analyte sample (0% STZ form I containing 100% STZ form III). The LOQ was subsequently validated with independently prepared samples. The results show that polymorphs can be quantified in binary physical mixtures in the 0.3% polymorph composition range. These studies indicate that NIRS is a precise and accurate quantitative tool for determination of polymorphs in the solid state, is comparable to other characterization techniques, and is more convenient to use than many other methods.

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Year:  2001        PMID: 11170029     DOI: 10.1002/1520-6017(200103)90:3<360::aid-jps11>3.0.co;2-u

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  3 in total

1.  Comparative determination of polymorphs of indomethacin in powders and tablets by chemometrical near-infrared spectroscopy and x-ray powder diffractometry.

Authors:  Makoto Otsuka; Fumie Kato; Yoshihisa Matsuda; Yukihiro Ozaki
Journal:  AAPS PharmSciTech       Date:  2003       Impact factor: 3.246

2.  Modeling and monitoring of polymorphic transformations during the drying phase of wet granulation.

Authors:  Tiffani D Davis; Garnet E Peck; Joseph G Stowell; Kenneth R Morris; Stephen R Byrn
Journal:  Pharm Res       Date:  2004-05       Impact factor: 4.200

3.  Prediction of Solid-State Form of SLS 3D Printed Medicines Using NIR and Raman Spectroscopy.

Authors:  Sarah J Trenfield; Patricija Januskaite; Alvaro Goyanes; David Wilsdon; Martin Rowland; Simon Gaisford; Abdul W Basit
Journal:  Pharmaceutics       Date:  2022-03-08       Impact factor: 6.321

  3 in total

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