Evaluation of commercially available meth-deterrent pseudoephedrine hydrochloride products.

Pseudoephedrine (PSE) extracted from its dosage forms can be used as the starting material to prepare methamphetamine by drug abusers. Recently, some pseudoephedrine drug products marketed under the over the counter (OTC) monograph have been promoted as 'meth-deterrent'. The goal of this investigation was to evaluate the extraction and dissolution of these product against controls of non-meth-deterrent products of pseudoephedrine. Immediate release (IR) PSE OTC Product-C, Product-D and Product-E with meth-deterrent claim on their packaging were selected for this study. Accordingly, OTC IR PSE tablet Product-A and OTC extended release (ER) PSE tablet Product-B, with no meth-deterrent claims, were used as controls. The extraction studies were performed on intact tablets or capsules and on manipulated products employing water, ethanol and 0.l N HCl as solvents. The extraction studies were also performed in water at elevated temperatures by heating the water in an oven and in a microwave. The dissolution studies were performed in water and 0.1 N HCl. The amount of PSE extracted from Product-C was found similar to the amount extracted from the non-meth-deterrent control Product-A. The amount of PSE extracted from Product-D and Product-E was found lower than the amount extracted from control Product-A under the conditions studied. Product-A, Product-B, and Product-C met their respective dissolution acceptance criteria. The IR Products D and E released less than 50% drug in 12 h and did not meet either IR or ER PSE tablet USP dissolution acceptance criteria. In summary, the extraction of Product-C was found to be high (approximately 85% in 30 min) and was similar in extraction to the control Product-A. The extraction of Product-D and Product-E was found less than the extraction of control Product-A. Also, Product-D and Product-E did not exhibit complete drug release. This study showed that PSE can be extracted from Product D and Product E.

Physico-mechanical and stability evaluation of carbamazepine cocrystal with nicotinamide.

The focus of this investigation was to prepare the cocrystal of carbamazepine (CBZ) using nicotinamide as a coformer and to compare its preformulation properties and stability profile with CBZ. The cocrystal was prepared by solution cooling crystallization, solvent evaporation, and melting and cryomilling methods. They were characterized for solubility, intrinsic dissolution rate, chemical identification by Fourier transform infrared spectroscopy, crystallinity by differential scanning calorimetry, powder X-ray diffraction, and morphology by scanning electron microscopy. Additionally, mechanical properties were evaluated by tensile strength and Heckel analysis of compacts. The cocrystal and CBZ were stored at 40°C/94% RH, 40°C/75% RH, 25°C/60% RH, and 60°C to determine their stability behavior. The cocrystals were fluffy, with a needle-shaped crystal, and were less dense than CBZ. The solubility profiles of the cocrystals were similar to CBZ, but its intrinsic dissolution rate was lower due to the high tensile strength of its compacts. Unlike CBZ, the cocrystals were resistant to hydrate transformation, as revealed by the stability studies. Plastic deformation started at a higher compression pressure in the cocrystals than CBZ, as indicated by the high yield pressure. In conclusion, the preformulation profile of the cocrystals was similar to CBZ, except that it had an advantageous resistance to hydrate transformation.

Process analytical technology: nondestructive evaluation of cyclosporine A and phospholipid solid dispersions by near infrared spectroscopy and imaging.

The objective of this study was to evaluate near infrared (NIR) spectroscopy and imaging as approaches to assess phospholipid compartment within its solid dispersion with cyclosporine A (CyA). By varying dimyristoyl phosphatidylcholine (DMPC) to CyA weight ratio, five batches were prepared by the kneading technique and characterized by DSC and FTIR. A drug/DMPC ratio of 50:1 provided an enhanced dissolution of CyA. FTIR spectra and DSC thermograms revealed a significant interaction between the drug and DMPC which suggested incorporation of CyA within the formed DMPC liposomes. The developed NIR calibration model was able to assess DMPC concentrations within the kneaded products. The calibration and prediction linear plots showed slopes of 0.9711 and 0.9915, offsets of 0.1247 and 0.1080, correlation coefficients of 0.9854 and 0.9889 and root mean square standard errors of 0.43% and 0.42%, respectively. In contrast, NIR spectral imaging was capable of clearly distinguishing the kneaded products, both qualitatively and quantitatively. NIR imaging revealed the poor powder blending efficiency of the method used to prepare physical mixture compared to the efficient distribution of the kneaded products. In conclusion, NIR spectral imaging system provides a rapid approach for acquiring high-resolution spatial and spectral information on solid dispersions.

Quality by design: understanding the formulation variables of a cyclosporine A self-nanoemulsified drug delivery systems by Box-Behnken design and desirability function.

Quality by design (QBD) refers to the achievement of certain predictable quality with desired and predetermined specifications. A very useful component of the QBD is the understanding of factors and their interaction effects by a desired set of experiments. The present project deals with a case study to understand the effect of formulation variables of nanoemulsified particles of a model drug, cyclosporine A (CyA). A three-factor, three-level design of experiment (DOE) with response surface methodology (RSM) was run to evaluate the main and interaction effect of several independent formulation variables that included amounts of Emulphor El-620 (X(1)), Capmul MCM-C8 (X(2)) and 20% (w/w) CyA in sweet orange oil (X(3)). The dependent variables included nanodroplets size (Y(1)), nanoemulsions turbidity (Y(2)), amounts released after 5 and 10min (Y(3), Y(4)), emulsification rate (Y(5)) and lag time (Y(6)). A desirability function was used to minimize lag time and to maximize the other dependent variables. A mathematical relationship, Y(5)=9.09-0.37X(1)+0.37X(2)-0.45X(3)+0.732X(1)X(2)-0.62X(1)X(3)+0.3X(2)X(3)+0.02X(1)(2)-0.28X(2)(2)+0.471X(3)(2) (r(2)=0.92), was obtained to explain the effect of all factors and their colinearities on the emulsification rate. The optimized nanodroplets were predicted to yield Y(1), Y(2), Y(3), Y(4), Y(5) and Y(6) values of 42.1nm, 50.6NTU, 56.7, 107.2, 9.3%/min and 3.5min, respectively, when X(1), X(2), and X(3) values were 36.4, 70 and 10mg, respectively. A new batch was prepared with these levels of the independent variables to yield Y(1)-Y(6) values that were remarkably close to the predicted values. In conclusion, this investigation demonstrated the potential of QBD in understanding the effect of the formulation variables on the quality of CyA self-nanoemulsified formulations.