Skip to main content
Log in

Pharmaceutical Application of Fast Raman Hyperspectral Imaging with Compressive Detection Strategy

  • Research Article
  • Published:
Journal of Pharmaceutical Innovation Aims and scope Submit manuscript

Abstract

This article reports a new Raman imaging instrument based on liquid crystal spatial light modulator compressive detection (LC-SLM-CD) strategy that could provide a fast way of testing the composition of solid formulations. In this study, the LC-SLM-CD strategy is employed to investigate the qualitative and relative quantitative distribution of two commonly used ingredients, acetaminophen and lactose in a pharmaceutical tablet. The spatial distribution of each component is formed based on the responses of the samples to the partial least squares filters built into the instrument. This technique has proven to be a fast and feasible technique for noninvasive determination of blend quality and for determination of relative abundances of each component in a tablet.

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Jérez Rozo JI, Zarow A, Zhou B, Pinal R, Iqbal Z, Romañach RJ. Complementary near-infrared and Raman chemical imaging of pharmaceutical thin films. J Pharm Sci. 2011;100:4888–95.

    Article  Google Scholar 

  2. Sasic S. Raman mapping of low-content API pharmaceutical formulations. I. Mapping of Alprazolam in Alprazolam/Xanax tablets. Pharm Res. 2007;24:58–65.

    Article  CAS  PubMed  Google Scholar 

  3. Zhang L, Henson MJ, Sekulic SS. Multivariate data analysis for Raman imaging of a model pharmaceutical tablet. Anal Chim Acta. 2005;545:262–78.

    Article  CAS  Google Scholar 

  4. Davis BM, Hemphill AJ, Cebeci Maltas D, Zipper MA, Wang P, Ben-Amotz D. Multivariate hyperspectral Raman imaging using compressive detection. Anal Chem. 2011;83:5086–92.

    Article  CAS  PubMed  Google Scholar 

  5. Cebeci Maltaş D, Kwok K, Wang P, Taylor LS, Ben-Amotz D. Rapid classification of pharmaceutical ingredients with Raman spectroscopy using compressive detection strategy with PLS-DA multivariate filters. J Pharm Biomed Anal. 2013;80:63–8.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The present work was financially supported by NSF-Engineering Research Center for Structured Organic Particulate Systems (ERC-SOPS, EEC-0540855). The development of this instrument was supported by a grant from the National Science Foundation (grant IDBR 0754740).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Derya Cebeci-Maltaş.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cebeci-Maltaş, D., McCann, R., Wang, P. et al. Pharmaceutical Application of Fast Raman Hyperspectral Imaging with Compressive Detection Strategy. J Pharm Innov 9, 1–4 (2014). https://doi.org/10.1007/s12247-013-9168-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12247-013-9168-8

Keywords

Navigation