Solid-State Quantification of Cocrystals in Pharmaceutical Tablets Using Transmission Low-Frequency Raman Spectroscopy.

To enable the continuous production of cocrystal-containing pharmaceutical tablets, guaranteeing the cocrystal content of the final pharmaceutical tablets in the solid state is critical. This study demonstrates the quantification of caffeine-glutaric acid cocrystals in model tablets using transmission low-frequency Raman spectroscopy. Although distinguishing between cocrystals and raw materials using conventional Raman spectroscopy is difficult, the use of low-frequency Raman spectroscopy enables the discrimination of cocrystals and raw materials. Low-frequency Raman spectra were analyzed by the partial least-squares method (PLS) to obtain the predicted contents in the model tablets. To evaluate the quantitative ability of this method, the root means square error of cross-validation (RMSECV) was determined by comparing the actual concentration and predicted content with a calibration curve. For cocrystal-containing tablets, the quantitative ability of the transmission mode (RMSECV = 2.06- 3.17) was 13.4-31.4% higher than that of the backscattering mode (RMSECV= 2.37- 3.91). The coexistence of raw crystalline materials did not affect the quantitative ability for cocrystals.

Screening a trace amount of pharmaceutical cocrystals by using an enhanced nano-spot method.

Cocrystallization is an attractive and promising technology that can improve the physical properties of formulations of active pharmaceutical ingredients (APIs). We have developed a "nano-spot method" that can evaluate the crystalline form on the nanogram scale. In this study, the following studies were performed to obtain versatile and comprehensive improvements to the nano-spot method: modification of the sample solution, application of solvent vapor exposure to attempt the precipitation of various states of crystals, and adoption of low-frequency Raman spectroscopy. Carbamazepine was used as a model API and cocrystallization screening was examined with 12 cocrystal formers (coformers). In the case of combinations that are already known to form cocrystals, spectra similar to those of previously reported cocrystals or new spectra were obtained. It was considered that the reported cocrystals or new polymorphs were obtained. In contrast, in the case of the combination which has been reported not to form a cocrystal, the spectra were consistent with that for the physical mixture of API and coformer, suggesting that a cocrystal also did not form in this screening. In addition, the newly adopted low-frequency Raman spectroscopy enabled the high-sensitive detection of the crystalline form.

Transmission Low-Frequency Raman Spectroscopy for Quantification of Crystalline Polymorphs in Pharmaceutical Tablets.

The purpose of this study was to quantify polymorphs of active pharmaceutical ingredients in pharmaceutical tablets using a novel transmission low-frequency Raman spectroscopy method. We developed a novel transmission geometry for low-frequency Raman spectroscopy and compared quantitative ability in transmission mode versus backscattering mode using chemometrics. We prepared two series of tablets, (1) containing different weight-based contents of carbamazepine form III and (2) including different ratios of carbamazepine polymorphs (forms I/III). From the relationship between the contents of carbamazepine form III and partial least-squares (PLS) predictions in the tablets, correlation coefficients in transmission mode ( R2 = 0.98) were found to be higher than in backscattering mode ( R2 = 0.97). The root-mean-square error of cross-validation (RMSECV) of the transmission mode was 3.9 compared to 4.9 for the backscattering mode. The tablets containing a mixture of carbamazepine (I/III) polymorphs were measured by transmission low-frequency Raman spectroscopy, and it was found that the spectral shape changed according to the ratio of polymorphs: the relationship between the actual content and the prediction showed high correlation. These findings indicate that transmission low-frequency Raman spectroscopy possesses the potential to complement existing analytical methods for the quantification of polymorphs.