Skip to main content
Log in

Qualitative Discrimination Between Paracetamol Tablets Made by Near Infrared Spectroscopy and Chemometrics With Regard to Polymorphism

  • Published:
Journal of Structural Chemistry Aims and scope Submit manuscript

Abstract

Polymorphism is an important characteristic of pharmaceutical products because different polymorphs exhibit different physicochemical stabilities, dissolution rates, etc., which makes them different in therapeutic efficiency. Thus, it is important to control the polymorphic structure of pharmaceutical products. A spectroscopy method based on Fourier transform near infrared (FT-NIR) spectroscopy and chemometric techniques is introduced to classify paracetamol preparations according to polymorphic changes. X-ray diffraction (XRD) and FT-NIR studies were carried out on standard samples, paracetamol preparations (acetaminophen tablet), and also the additives. A direct comparison was performed between the spectroscopic data and those obtained by XRD. The NIR and XRD analyses of paracetamol preparations show some distinct differences, particularly in the Iranian tablet. These differences are found to be related to polymorphism and paracetamol purity. The cluster analysis (CA) and principal component analysis (PCA) were utilized to classify the paracetamol preparations. FT-NIR spectroscopy provides a simple, rapid and accurate qualitative analysis method for the identification of paracetamol polymorphs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. K. Norris, P. K. Aldridge, and S. S. Sekulic, Analyst, 122, 549 (1997).

    Article  CAS  Google Scholar 

  2. H. G. Britain, Polymorphism in Pharmaceutical Solids, Marcel Dekker, New York (1999).

    Google Scholar 

  3. T. L. Threlfall, Analyst, 120, 2435 (1995).

    Article  CAS  Google Scholar 

  4. M. Blanco and A. Villar, Analyst ibid., 125, 2311 (2000).

  5. M. Otsuka, F. Kato, and Y. Matsuda, Analyst ibid., 126, 1578 (2001).

  6. M. Otsuka, F. Kato, and Y. Matsuda, AAPS Pharmsci. Teck., 2, 9 (2000).

    Google Scholar 

  7. H. Yoshino, Y. Hagiwara, S. Kobayashi, and M. Samejima, Chem. Pharm. Bull., 32, 1523 (1984).

    CAS  Google Scholar 

  8. N. Kaneniwa, M. Otsuka, and T. Hayashi, Chem. Pharm. Bull. ibid., 33, 3447 (1985).

    Google Scholar 

  9. H. Ahmed, G. Buckton, and D. A. Rawlins, Int. J. Pharm., 130, 195 (1996).

    Article  CAS  Google Scholar 

  10. L. S. Taylor and G. Zografi, Pharm. Res., 15, 755 (1998).

    Article  CAS  Google Scholar 

  11. R. Helmy, G. X. Zhou, Y. W. Chen, et al., Anal. Chem., 75, 605 (2003).

    Article  CAS  Google Scholar 

  12. A. Salari and R. E. Young, Int. J. Pharm., 163, 157 (1998).

    Article  CAS  Google Scholar 

  13. K. Dohi, F. Kaneko, and T. Kawaguchi, J. Cryst. Growth., 237, 2227 (2002).

    Article  Google Scholar 

  14. J. Aaltonen, J. Rantanen, S. Siiria, et al., Anal. Chem., 75, 5267 (2003).

    Article  CAS  Google Scholar 

  15. S. Agatonovic-Kustrin, T. Rades, V. Wu, et al., J. Pharm. Biomed. Anal., 25, 741 (2001).

    Article  CAS  Google Scholar 

  16. K. Pöllänen, A. Häkkinen, S. Reinikainen, et al., J. Pharm. Biomed. Anal. ibid., 38, 275-284 (2005).

    Google Scholar 

  17. M. Blanco, J. Coello, H. Iturriaga, et al., Analyst, 123, 135 (1998).

    Article  Google Scholar 

  18. W. Vogt and D. Nagel, Clin. Chem., 38, 182 (1992).

    CAS  Google Scholar 

  19. A. M. Cameán, I. Moreno, M. López-Artíguez, et al., Talanta, 54, 53 (2001).

    Article  Google Scholar 

  20. B. Flury and H. Riedwyl, Multivariate Statistics — A Practical Approach, Chapman & Hall, London (1988).

    Google Scholar 

  21. K. R. Beebe, R. J. Pell, and M. B. Seasholtz, Chemometrics: A Practical Guide, Wiley, New York (1998).

    Google Scholar 

  22. R. Henrion and G. Henrion, Multivariate Datenanalyse, Springer-Verlag, Heidelberg (1995).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Khanmohammadi.

Additional information

Original Russian Text Copyright © 2010 by M. Khanmohammadi, A. B. Garmarudi, N. Moazzen, and K. Ghasemi

The text was submitted by the authors in English. Zhurnal Strukturnoi Khimii, Vol. 51, No. 4, pp. 693–698, July–August, 2010.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Khanmohammadi, M., Garmarudi, A.B., Moazzen, N. et al. Qualitative Discrimination Between Paracetamol Tablets Made by Near Infrared Spectroscopy and Chemometrics With Regard to Polymorphism. J Struct Chem 51, 663–669 (2010). https://doi.org/10.1007/s10947-010-0097-9

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10947-010-0097-9

Key words

Navigation