Influence of formulation and processing factors on stability of levothyroxine sodium pentahydrate.

Stability of formulations over shelf-life is critical for having a quality product. Choice of excipients, manufacturing process, storage conditions, and packaging can either mitigate or enhance the degradation of the active pharmaceutical ingredient (API), affecting potency and/or stability. The purpose was to investigate the influence of processing and formulation factors on stability of levothyroxine (API). The API was stored at long-term (25 degrees C/60%RH), accelerated (40 degrees C/75%RH), and low-humidity (25 degrees C/0%RH and 40 degrees C/0%RH) conditions for 28 days. Effect of moisture loss was evaluated by drying it (room temperature, N(2)) and placed at 25 degrees C/0%RH and 40 degrees C/0%RH. The API was incubated with various excipients (based on package insert of marketed tablets) in either 1:1, 1:10, or 1:100 ratios with 5% moisture at 60 degrees C. Commonly used ratios for excipients were used. The equilibrium sorption data was collected on the API and excipients. The API was stable in solid state for the study duration under all conditions for both forms (potency between 90% and 110%). Excipients effect on stability varied and crospovidone, povidone, and sodium laurel sulfate (SLS) caused significant API degradation where deiodination and deamination occurred. Moisture sorption values were different across excipients. Crospovidone and povidone were hygroscopic whereas SLS showed deliquescence at high RH. The transient formulation procedures where temperature might go up or humidity might go down would not have major impact on the API stability. Excipients influence stability and if possible, those three should either be avoided or used in minimum quantity which could provide more stable tablet formulations with minimum potency loss throughout its shelf-life.

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.