A Novel Method for Rapid Particle Size Analysis of Ibuprofen Using Near-infrared Spectroscopy.

Particle size distribution (PSD) is often considered as critical material attribute for active pharmaceutical ingredients (APIs), and the need for regular evaluation stands as an important quality control parameter in the pharmaceutical industry. Near-infrared (NIR) spectroscopy, used routinely for API identification, was introduced as analytical tool for simultaneous determination of particle size of ibuprofen. The demonstrated potential was highlighted by the development of rapid, robust, and noninvasive method coupled with multivariate data analysis (MVA), which can be easily transferred in QC laboratories for routine analysis. Principal component analysis (PCA) and partial least squares (PLS) regression analyses were performed on a calibration set of 61 ibuprofen samples, which differed in their median particle size Dv(50). The score scatterplots revealed evident clustering of ibuprofen samples according to their particle size, as well as occurrence of a distinctive outlying group of ibuprofen samples originating from one manufacturer. Further testing by means of mid-infrared spectroscopy, X-ray powder diffraction, and particle morphology analysis pinpointed particle morphology being responsible for the observed outlying group. Consequently, PLS class modeling based on particle morphology was introduced, which delivered two separate PLS regression models: one for blade-like ibuprofen crystals and another for irregular plate-like ibuprofen crystals. The former regression model exhibited high correlation coefficients and satisfactory predictive power (R2X = 0.999, R2Y = 0.917, Q2 = 0.901), whereas the latter demonstrated lower statistical indicators (R2X = 0.99, R2Y = 0.72, Q2 = 0.55). Additionally, the study underlines the importance of particle shape evaluation and sample classification according to particle morphology similarity prior to building NIRS-based regression models for PSD determination.

Solid-state interaction of ibuprofen with magnesium stearate and product characterization thereof.

Solid-state compatibility of API with excipients is essential step in the preformulation stage of early development of new finished dosage form. Thermal analysis and vibrational spectroscopy are complementary techniques that play a pivotal role to assess the solid-state compatibility of API with excipients. Their coupling and combination with multivariate analysis, provide valuable quantitative aspect to reveal the potential interactions. The impetus of this work was aimed to fully elucidate the solid-state compatibility of ibuprofen and magnesium stearate in binary mixtures comprising pharmaceutically acceptable amounts of magnesium stearate (0.25-5% w/w). Binary mixtures were analyzed before and after exposure at strictly controlled stress conditions (25 °C/60% relative humidity and 40 °C/75% relative humidity). Interaction between ibuprofen and magnesium stearate was unambiguously confirmed. The product of their interaction was synthetized separately, characterized by means of FTIR spectroscopy, DSC, TG/DTG and XRPD for the first time and identified as diibuprofen magnesium. The induced solid-state pseudopolymorphic transition of this product to diibuprofen magnesium tetrahydrate was also studied and discussed.