Development of spectroscopic methods for assessing polymorphic content of efavirenz

The present work aimed to develop a new method for assessing the content of mixtures of polymorphic forms I and II of the drug Efavirenz (EFV) by vibrational spectroscopic techniques such as Middle (MIR) and Near (NIR) infrared and Raman, using multivariate calibration models. Benchtop and handheld...

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Bibliographic Details
Published in:Brazilian Journal of Pharmaceutical Sciences 2024-01, Vol.60
Main Authors: Rosa, Talita Atanazio, Oliveira, Marcos Victor Gregório de, França, Leandro de Moura, Lima, Maria Joanellys dos Santos, Silva, Pollyne Amorim, Silva, Rosali Maria Ferreira da, Rolim, Larissa Araújo, Pimentel, Maria Fernanda, Rolim Neto, Pedro José
Format: Article
Language:English
Subjects:
Acquired immune deficiency syndrome
AIDS
Chemistry
Eigenvectors
Flexibility
Fourier transforms
HIV
Human immunodeficiency virus
Inventors
Methods
Pharmaceutical industry
Polymorphism
Quantitative analysis
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Summary:The present work aimed to develop a new method for assessing the content of mixtures of polymorphic forms I and II of the drug Efavirenz (EFV) by vibrational spectroscopic techniques such as Middle (MIR) and Near (NIR) infrared and Raman, using multivariate calibration models. Benchtop and handheld instruments were used for NIR and Raman and a benchtop instrument for MIR. In addition, VIP scores and iPLS, variable selection methods were employed. The infrared techniques showed the best models, with Root Mean Squares Error (RMSE) around 5% (w/w). When MIR and portable NIR instruments were used, this value was lowered to 4% (w/w) with selection of variables by iPLS. Raman spectroscopy showed higher error, even with selection of variables, possibly due to the spot laser size used by instruments and the lack of uniformity of the particle size in the samples. The infrared methods developed were shown to be effective in quantifying polymorphic mixtures of EFV. Given the ease of use of handheld instruments, they may be applied as tools of process analytical technology for monitoring quality control during industrial processing.Keywords:Efavirenz; Infrared spectroscopy; Near-infrared spectroscopy; Partial least squares; Polymorph(s); Raman spectroscopy
ISSN:2175-9790
1984-8250
2175-9790
DOI:10.1590/s2175-97902024e23487