ATR/Raman and Fractal Characterization of HPBCD/Progesterone Complex Solid Particles

Injectable testosterone PLGA microsphere with different characteristics: effect of preparation method (paddle mixing versus microfluidic device)

The purpose of this study was to compare the characteristics of testosterone polylactic-co-glycolic (PLGA) microspheres prepared by a paddle mixer or microfluidics device. The comparison was conducted by not only in vitro evaluation but also in vivo evaluation which has not been reported up to date. We discovered that, among the steps in microsphere preparation, the solvent removal process strongly impacted drug content, particle size and surface morphology. Spectroscopic measurements suggested that molecular interactions and crystallinity of the drug incorporated in the microspheres differed. For the drug release profile, although both mixer- and microfluidics-prepared samples showed similar sustained release of the incorporated drug for approximately one month in vitro, they exhibited different plasma concentration profiles in vivo. Together, our findings show that the preparation process, especially the solvent removal process, may affect the physicochemical characteristics of testosterone PLGA microspheres, leading to different in vivo performance.

Convolutional Neural Networks Guided Raman Spectroscopy as a Process Analytical Technology (PAT) Tool for Monitoring and Simultaneous Prediction of Monoclonal Antibody Charge Variants

BACKGROUND

Charge related heterogeneities of monoclonal antibody (mAb) based therapeutic products are increasingly being considered as a critical quality attribute (CQA). They are typically estimated using analytical cation exchange chromatography (CEX), which is time consuming and not suitable for real time control. Raman spectroscopy coupled with artificial intelligence (AI) tools offers an opportunity for real time monitoring and control of charge variants.

OBJECTIVE

We present a process analytical technology (PAT) tool for on-line and real-time charge variant determination during process scale CEX based on Raman spectroscopy employing machine learning techniques.

METHOD

Raman spectra are collected from a reference library of samples with distribution of acidic, main, and basic species from 0-100% in a mAb concentration range of 0-20 g/L generated from process-scale CEX. The performance of different machine learning techniques for spectral processing is compared for predicting different charge variant species.

RESULT

A convolutional neural network (CNN) based model was successfully calibrated for quantification of acidic species, main species, basic species, and total protein concentration with R2 values of 0.94, 0.99, 0.96 and 0.99, respectively, and the Root Mean Squared Error (RMSE) of 0.1846, 0.1627, and 0.1029 g/L, respectively, and 0.2483 g/L for the total protein concentration.

CONCLUSION

We demonstrate that Raman spectroscopy combined with AI-ML frameworks can deliver rapid and accurate determination of product related impurities. This approach can be used for real time CEX pooling decisions in mAb production processes, thus enabling consistent charge variant profiles to be achieved.

Modeling of Progesterone Release from Poly(3-Hydroxybutyrate) (PHB) Membranes

Poly(3-hydroxybutyrate) (PHB) biodegradable polymeric membranes were evaluated as platform for progesterone (Prg)-controlled release. In the design of new drug delivery systems, it is important to understand the mass transport mechanism involved, as well as predict the process kinetics. Drug release experiments were conducted and the experimental results were evaluated using engineering approaches that were extrapolated to the pharmaceutical field by our research group. Membranes were loaded with different Prg concentrations and characterized by scanning electron microscopy (SEM), differential scanning calorimetry (DSC), and Fourier transform infrared spectroscopy (FTIR). SEM images showed that membranes have a dense structure before and after the progesterone addition. DSC and FTIR allowed determining the influence of the therapeutic agent in the membrane properties. The in vitro experiments were performed using two different techniques: (A) returning the sample to the receptor solution (constant volume of the delivery medium) and (B) extracting total volume of the receptor solution. In this work, we present a simple and accurate "lumped" second-order kinetic model. This lumped model considers the different mass transport steps involved in drug release systems. The model fits very well the experimental data using any of the two experimental procedures, in the range 0 ≤ t ≤ ∞ or 0 ≤ M t  ≤ M ∞. The drug release analysis using our proposed approaches is relevant for establishing in vitro-in vivo correlations in future tests in animals.

Development of carvedilol-cyclodextrin inclusion complexes using fluid-bed granulation: a novel solid-state complexation alternative with technological advantages

Objectives

This study sought to evaluate the achievement of carvedilol (CARV) inclusion complexes with modified cyclodextrins (HPβCD and HPγCD) using fluid-bed granulation (FB).

Methods

The solid complexes were produced using FB and spray drying (SD) and were characterised by differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FTIR), powder X-ray diffraction, SEM, flowability and particle size analyses and in vitro dissolution.

Key findings

The DSC, FTIR and powder X-ray diffraction findings suggested successful CARV inclusion in the modified β- and γ-cyclodextrins, which was more evident in acidic media. The CARV dissolution rate was ~7-fold higher for complexes with both cyclodextrins prepared using SD than for raw CARV. Complexes prepared with HPβCD using FB also resulted in a significant improvement in dissolution rate (~5-fold) and presented superior flowability and larger particle size.

Conclusions

The findings suggested that FB is the best alternative for large-scale production of solid dosage forms containing CARV. Additionally, the results suggest that HPγCD could be considered as another option for CARV complexation because of its excellent performance in inclusion complex formation in the solid state.

Fractal structure determines controlled release kinetics of monolithic osmotic pump tablets

Objectives

To calculate the fractal dimension values of felodipine osmotic pump tablets during drug dissolution and to characterize the mechanism of the controlled drug release kinetics through three-dimensional fractal data.

Methods

Three-dimensional fractal values of volume (Df,volume) and surface (Df,surface) of the tablet core were calculated based on the box counting method.

Key findings

During the process of release of felodipine, both Df,volume and Df,surface were within the range of 2–3 and then changed markedly after a period of 3.0 h release, corresponding to extensive changes in entire shape, interior porous channels and surface structure of the tablet core. The curve of Df,volume mirrored that for tablet volume, however the curve of Df,surface was quite different from that of the surface area. Results showed that values of Df,surface correlated well with the drug release rate. Df,surface was found to be an efficient fractal parameter that could be used to characterize the complex changes to the tablet core that take place during drug release.

Conclusions

The fractal dimension can be used as a quantitative indicator reflecting the drug release performance and be regarded as a key indicator for the quality control of oral controlled drug delivery systems.

Release profiles of dexamethasone dipropionate from admixtures of steroid and heparinoid ointments prepared by different mixing methods

Characterization and release profiles of commercial dexamethasone dipropionate (DDP) from an innovator and 2 generic ointments (Methaderm (IM), Promethasone (GP), and Mainvate (GM)) and their admixtures with heparinoid ointment (Hirudoid Soft) were investigated. The admixtures were prepared using 2 mixing methods (slab or rotation/revolution mixer). Microscopic and FT-Raman spectrometric analyses revealed that the ointments, except for IM, contained DDP crystals. A silicone membrane was used for the evaluation of the DDP permeation. The permeated DDP amounts from GP and GM were lower than that from IM, indicating that DDP solubility in the ointment vehicle affected the release of DDP from the ointment. No significant differences were observed in DDP release between IM alone and its admixture prepared using a slab; however, DDP release from the admixture prepared using a rotation/revolution mixer was significantly lower than those from IM alone and its admixture by slab. In the GP system, DDP release from the admixtures by the 2 mixing methods was higher than that from GP alone, whereas no significant difference in DDP release between the 2 mixing methods was observed. No significant differences were observed between the GM and admixtures. The apparent solubility of DDP in the admixtures as determined by the ultracentrifugal separation method indicated that the DDP amount in the liquid phase of admixtures with GP was 6 times higher than that of admixtures with IM or GM. Therefore, the apparent solubility of DDP in the liquid phase in the GP system might influence the DDP release in admixtures.

Effect of Ultrasound on the Compaction of Ibuprofen/Isomalt Systems

Six mixtures, containing 10, 20 and 30% w/w ibuprofen and isomalt, were compacted by a traditional or ultrasound-assisted machine and analysed by means of thermal (DSC and TGA) and micro-spectrometry (Raman and FT-IR) techniques. Ultrasound discharge causes melting of ibuprofen powder, transforming into a paste that could not assume the shape of a tablet; when in mixture with isomalt, thermal events, occurring during ultrasound compaction, change the appearance of the particles formed by milling the tablets obtained this way and SEM photos reveal a dramatic reduction of the particle size and changes due to a possible ibuprofen re-crystallization. Raman and FT-IR spectra of small portions of the surface and of the bulk, using characteristic peaks for identification, reveal that in ultrasound-compacted tablets ibuprofen partially disappears from the top face of the tablet.