Article

Probing Pharmaceutical Mixtures during Milling: The Potency of Low-Frequency Raman Spectroscopy in Identifying Disorder.

Molecular Pharmaceutics, American Chemical Society (ACS), ISSN 1543-8392

Volume 14, 12, 2017

DOI:10.1021/acs.molpharmaceut.7b00803, Dimensions: pub.1092479352, PMID: 29091447,

Affiliations

Organisations

  1. (1) University of Otago, grid.29980.3a
  2. (2) University of Copenhagen, grid.5254.6, KU
  3. (3) University of Helsinki, grid.7737.4

Description

This study uses a multimodal analytical approach to evaluate the rates of (co)amorphization of milled drug and excipient and the effectiveness of different analytical methods in detecting these changes. Indomethacin and tryptophan were the model substances, and the analytical methods included low-frequency Raman spectroscopy (785 nm excitation and capable of measuring both low- (10 to 250 cm-1) and midfrequency (450 to 1800 cm-1) regimes, and a 830 nm system (5 to 250 cm-1)), conventional (200-3000 cm-1) Raman spectroscopy, Fourier transform infrared spectroscopy (FTIR), and X-ray powder diffraction (XRPD). The kinetics of amorphization were found to be faster for the mixture, and indeed, for indomethacin, only partial amorphization occurred (after 360 min of milling). Each technique was capable of identifying the transformations, but some, such as low-frequency Raman spectroscopy and XRPD, provided less ambiguous signatures than the midvibrational frequency techniques (conventional Raman and FTIR). The low-frequency Raman spectra showed intense phonon mode bands for the crystalline and cocrystalline samples that could be used as a sensitive probe of order. Multivariate analysis has been used to further interpret the spectral changes. Overall, this study demonstrates the potential of low-frequency Raman spectroscopy, which has several practical advantages over XRPD, for probing (dis-)order during pharmaceutical processing, showcasing its potential for future development, and implementation as an in-line process monitoring method.

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NORA University Profiles

University of Copenhagen

Danish Open Access Indicator

2017: Blocked

Research area: Medicine

Danish Bibliometrics Indicator

2017: Level 1

Research area: Medicine

Dimensions Citation Indicators

Times Cited: 11

Field Citation Ratio (FCR): 2.79

Relative Citation ratio (RCR): 1.16