Quartz crystal microbalance technique for analysis of cooling crystallization.

A quartz crystal microbalance (QCM) technique is developed for the in situ analysis of the cooling crystallization processes of crystal nucleation and growth. In contrast to conventional techniques based on property changes in the solid or solution phase, the proposed QCM technique simultaneously exploits property changes in both the solid and solution phases, such as the solid mass and liquid viscosity, to analyze the crystallization processes. When initially cooling the solution, an increase in the solution viscosity is reflected in the QCM responses for the resonant frequency and resonant resistance. With further cooling, the resonant frequency and resonant resistance sharply change at the induction point of crystal nucleation, as the viscous liquid film on the sensor suddenly shifts to an elastic solid phase. Thereafter, the QCM responses are mainly controlled by the suspension viscosity due to simultaneous crystal nucleation and growth with further cooling. As a result, the QCM responses allow accurate measurement of the induction point and metastable zone width during the cooling crystallization. Additional mechanistic information on the crystallization, including molecular cluster formation, crystal nucleation, and crystal growth, is also extracted from a resonant frequency-resistance plot (F-R plot) of the QCM responses when varying the cooling conditions.

Polymorphic and kinetic investigation of adefovir dipivoxil during phase transformation.

To search polymorphs of adefovir dipivoxil (AD), the polymorphic transformation approach in solution was developed. Also, the kinetics of polymorphic transformation was investigated to effectively control polymorphs. The AD crystals were obtained by crystallization at -10°C, and then the polymorphic transformation was induced by raising temperature. The polymorphs of AD were confirmed using DSC, XRD and solubility analyses. The polymorphic fraction during transformation was monitored for kinetic investigation. Via polymorphic transformation in solution, four polymorphs of AD were found and two of them were new (NF-I, NF-II). The DSC analysis revealed that solvate form (NF-I) was changed to form-V in solid state, and then re-crystallized to NF-II at 93°C, and finally became form-I at 97°C. This serial change of polymorphs in DSC was identical to polymorphic transformation sequence in solution. The kinetic rates of polymorphic transformation described by nucleation and mass transfer theories were well matched with experimental measurement. The polymorphic transformation approach was effective to search polymorphs of which the structure was changed to the other one in the solution. The kinetic information of polymorphic transformation predicted by Volmer's nucleation model and Stokes-Einstein diffusion equation was valuable for exact control of polymorphic purity.

In-line monitoring and interpretation of an indomethacin anti-solvent crystallization process by near-infrared spectroscopy (NIRS).

PAT (process analytical technology) has been emphasized as one of key elements for the full implementation of QbD (quality-by-design) in the pharmaceutical area. NIRS (near-infrared spectroscopy) has been studied intensively as an in-line/on-line monitoring tool in chemical and biomedical industries. A precise and reliable monitoring of the particle characteristics during crystallization along with a suitable control strategy should be highly encouraged for the conformance to new quality system of pharmaceutical products. In this study, the anti-solvent crystallization process of indomethacin (IMC) was monitored using an in-line NIRS. IMC powders were produced via anti-solvent crystallization using two schemes; 'S-to-A' (solvent-to-antisolvent) and 'A-to-S' (antisolvent-to-solvent). In-line NIR spectra were analyzed by a PCA (principal component analysis) method. Although pure α-form IMC powder was resulted under A-to-S scheme, a mixture of the α-form and γ-form was produced for S-to-A case. By integrating the PCA results with off-line characterization (SEM, XRD, DSC) data, the crystallization process under each scheme was elucidated by three distinct consecutive steps. It was demonstrated that in-line NIRS, combined with PCA, can be very useful to monitor in real time and interpret the anti-solvent crystallization process with respect to the polymorphism and particle size.

Polymorph transformation in paracetamol monitored by in-line NIR spectroscopy during a cooling crystallization process.

The reliable in-line monitoring of pharmaceutical processes has been regarded as a key tool toward the full implementation of process analytical technology. In this study, near-infrared (NIR) spectroscopy was examined for use as an in-line monitoring method of the paracetamol cooling crystallization process. The drug powder was dissolved in ethanol-based cosolvent at 60°C and was cooled by 1°C/min for crystallization. NIR spectra acquired by in-line measurement were interpreted by principal component analysis combined with off-line characterizations via X-ray diffraction, optical microscopy, and transmission electron microscopy. The whole crystallization process appeared to take place in three steps. A metastable form II polymorph of paracetamol was formed and transformed into the stable form I polymorph on the way to the growth of pure form I by cooling crystallization. These observations are consistent with a previous focused beam reflectance method-based study (Barthe et al., Cryst Growth Des 8:3316-3322, 2008).

Preparation and characterization of salmon calcitonin-sodium triphosphate ionic complex for oral delivery.

Even though salmon calcitonin (sCT) has been known as a potent hypocalcemic agent, only injection or nasal spray products are available on the market. In order to develop oral delivery system of the agent, a novel sCT-sodium tripolyphosphate (STPP) ionic complex was fabricated and also characterized. For the optimization of the ionic complexation, the effect of incubation time and molar ratio between sCT and STPP was evaluated. Particle size of the ionic complex in aqueous media, SEM images, DSC, FT-IR, in vitro release test, stability within the simulated intestinal fluid, and hypocalcemic effect were evaluated. The optimal molar complexation ratio of sCT to STPP was ranged from 1:5 to 1:10 and the complexation efficiency was about 95%. The SEM image has shown that the freeze dried ionic complex has rough morphology in their surface and the particle size in PBS (pH 7.4) was about 220nm. The DSC and FT-IR results provided evidences for ionic interaction between -NH(2) groups and -P horizontal lineO groups of sCT and STPP, respectively. The sCT ionic complex has shown sustained sCT releasing characteristics for 3weeks. The sCT-STPP ionic complex was protective to enzymatic attack and in vivo animal data revealed that the present ionic complex would show continuous hypocalcemic effect. Conclusively, the present sCT-STPP ionic complex formulation thought to be a novel oral delivery candidate for the treatment of osteoporosis.

Dynamic calibration for the in-line NIR monitoring of film thickness of pharmaceutical tablets processed in a fluid-bed coater.

NIR spectroscopy has been extensively employed for the in-line monitoring of pharmaceutical processes as one of the key PAT implementation tools. Nevertheless, pharmaceutical processes such as fluid-bed coating have not fully made the most of the NIR in-line monitoring primarily due to a difficulty in handling random in-line spectra. In this study, novel approaches to develop a reasonable dynamic calibration model were proposed; averaging and clustering. Pharmaceutical test tablets were coated with HPMC-based materials using a fluid-bed processor. During the 160 min coating process under tangential spraying mode, 10 tablets were sampled out at every 10 min mark for actual coating thickness measurements. NIR spectra at and near each 10 min mark were treated and processed by the averaging and clustering operations. Averaging of 21 spectra resulted in a reasonably good dynamic calibration model whose determination coefficient was estimated as high as 0.9916. The PCA-based clustering turned out to be substantially helpful especially when a large number of NIR spectra were averaged. A prediction experiment verified that our dynamic calibration model can control the coating thickness in-line as good as 3% deviated from the actual thickness, which can offer a reasonable end-point for the fluid-bed coating process.