Development and validation of a rapid and sensitive UHPLC–MS/MS method for the determination of paliperidone in beagle dog plasma

Correlating physico-chemical properties of analytes with Hansen solubility parameters of solvents using machine learning algorithm for predicting suitable extraction solvent

Artificial neural networks (ANNs) are biologically inspired algorithms designed to simulate the way in which the human brain processes information. In sample preparation for bioanalysis, liquid-liquid extraction (LLE) represents an important step with the extraction solvent selection is the key laborious step. In the current work, a robust and reliable ANNs model for LLE solvent prediction was generated which could predict the suitable solvent for analyte extraction. The developed ANNs model takes a set of chosen descriptors for the cited analyte as an input and predicts the corresponding Hansen solubility parameters of the suitable extraction solvent as a model output. Then, from the solvent combination's appendix, the analyst can identify the proposed extraction solvents' combination for the cited analyte easily and efficiently. For the experimental validation of the model prediction capabilities, twenty structurally diverse drugs belonging to different pharmacological classes were extracted from human plasma. The extraction process was performed using the predicted extraction solvent combination for each drug and quantitively estimated by HPLC/UV methods to assess their extraction recovery. The developed LLE solvent prediction model is in- line with the global trend towards green chemistry since it limits the consumption of organic solvents.

Comparison of Paliperidone Palmitate from Different Crystallization Processes and Effect on Formulations In Vitro and In Vivo

The quality of active pharmaceutical ingredients (APIs) is an important factor which can affect the safety and efficacy of pharmaceuticals. This study was designed to investigate the nature of paliperidone palmitate (PP) obtained by different crystallization processes, then compare the characteristics between test formulations which prepared PP of different crystallization and reference formulations (Invega Sustenna^®) in vitro and in vivo. Two different PPs, namely PP-1 and PP-2, were prepared by different crystallization methods. Contact angle, morphology, and crystallinity of the PPs were characterized. Taking the particle sizes and distribution of Invega Sustenna^® as reference, test formulations were prepared by the wet milling method using either a PP-1 or PP-2 sample. Their release behavior, stability in vitro, and pharmacokinetics in vivo were subsequently investigated. The results indicated that PP-2 had a higher surface free energy (SFE). More small particles were attached to the PP-1 surface under the influence of crystallization temperature. Different crystallization processes did not change the crystal of PP, but changed the crystallinity of PP. There was no obvious difference in in vitro releases between test formulations. However, the stability and state of formulation containing PP-2 were better compared to formulations containing PP-1, indicated by differences in crystallinity and SFE. Meanwhile, pharmacokinetic in vivo results demonstrated that the pharmacokinetic profiles and parameters of formulation containing PP-2 and Invega Sustenna^® tended to be consistent, but those of formulations containing PP-1 were significantly different from those of formulations containing PP-2 or Invega Sustenna^®, and there was burst release phenomenon of formulations containing PP-1 in rats. PP made by different crystallization processes could induce changes in appearance, SFE, and crystallinity, and further affect the stability, state, and pharmacokinetic in vivo formulation.

Forced degradation studies, and effect of surfactants and titanium dioxide on the photostability of paliperidone by HPLC

Forced degradation study of paliperidone under hydrolytic, oxidative, thermal and photolytic stress conditions was conducted using HPLC. The drug was found to be labile under hydrolytic, oxidative and photolytic stress conditions; whereas, it was stable under dry heat stress conditions. Effect of anionic, cationic and non-ionic surfactants applied to the concentration exceeding critical micellar concentration on the photostability of paliperidone was also studied by exposing the samples to sunlight for 72h. Major degradation of the drug was found in presence of cationic and non-ionic surfactants. Effect of titanium dioxide on the photo-degradation of paliperidone in solution state was also studied and it was found that 53% of the drug was degraded after 72h of exposure to sunlight. A common degradation peak was observed in oxidative and TiO2 photocatalysed samples. This peak may be due to the generation of N-oxide of paliperidone. The same degradation peak was also observed in all other photostability samples. Chromatographic separation of drug and its degradation products was achieved on an Alltima C8 (250mm×4.6mm, 5μm) analytical column, using a mobile phase consisting of acetonitrile-ammonium acetate buffer with 0.2% triethylamine (pH 3.5; 20mM) (60:40, v/v) at a flow rate of 1mL/min. Quantification was performed with UV detection at 280nm. The method was validated as per ICH guidelines.