A solvent-modified micellar electrokinetic chromatography method was developed following the Quality by Design approach for the simultaneous determination of sitagliptin (SIT), an oral antihyperglycemic drug, and its main impurities derived from the synthesis process. The separation system was identified in the scouting phase and was made by sodium dodecyl sulphate (SDS) micelles with the addition of n-butanol and methanol. The knowledge space was investigated through an asymmetric screening matrix, taking into consideration eight critical method parameters (CMPs) involving the composition of the background electrolyte in terms of buffer concentration and pH, the concentration of surfactants and organic modifiers, and voltage. The critical method attributes (CMAs) were identified as analysis time and the distance between the tail of the electroosmotic flow system peak and the front edge of impurity I1 (sitagliptin triazole hydrochloride). A Box-Behnken Design was used in response surface methodology for calculating the quadratic models relating the CMPs to the CMAs. From the models it was possible to compute the method operable design region (MODR) through Monte-Carlo simulations. The MODR was identified in the probability maps as the multidimensional zone where the risk of failure to achieve the desired values for the CMAs was lower than 10 %. The experimental conditions corresponding to the working point, with the MODR interval, were the following: background electrolyte, 14 (10-18) mM borate buffer pH 9.20, 100 mM SDS, 13.6 (11.1-16.0) %v/v n-butanol, 6.7 (4.5-8.8) %v/v methanol; voltage and temperature were set to 28 kV and 22 °C, respectively. The developed CE method was validated in accordance with International Council for Harmonisation guidelines and was applied to the analysis of SIT tablets. The routine analysis for the quality control of the pharmaceutical product could be conducted in about 11 min.
Nintedanib (NIN) is a tyrosine kinase inhibitor recently approved for the treatment of idiopathic pulmonary fibrosis. As a new drug, no monograph is available so far in official compendia. A liquid chromatography-tandem mass spectrometry method is presented for the simultaneous determination of NIN and its seven potential impurities. The risk-based approach of Analytical Quality by Design was applied in method development. The critical method parameters (CMPs) were the type of organic solvent in the mobile phase, formic acid percentage, column flow rate, oven temperature, gradient slope of organic eluent. The critical method attributes (CMAs) were selected as analysis time and selectivity between the main compound NIN and the adjacent peaks. Design of Experiments methodology was effectively employed for establishing the relationship between the CMPs and the CMAs. In the scouting step, a Restek Ultra AQ C18 (100 × 2.1 mm, 2.7 µm) core-shell column was selected, and then the effects of different levels of the five CMPs on the CMAs were evaluated by means of a 35//16 symmetric screening matrix. A Box-Behnken Design made it possible to obtain detailed maps of predicted CMAs throughout the investigated experimental domain, pointing out the presence of interaction and quadratic effects. The probability of meeting the specifications for the CMAs was calculated by Monte-Carlo simulations, performing a risk analysis and drawing risk of failure maps, which were used to visualize and define the method operable design region (MODR) with a probability π ≥ 90%. The final working conditions (enclosing the MODR interval) were as follows: methanol as organic solvent; formic acid percentage, 0.15% v/v; flow rate, 0.40 mL min-1 (0.37-0.43 mL min-1); oven temperature, 40 °C (38-40 °C); gradient slope of organic eluent, 14.00% eluent B min-1 (12.85-15.15% eluent B min-1). The resulting analysis time was about 10 min. Validation was carried out according to International Council for Harmonisation guidelines and the optimized method was applied to the analysis of NIN soft capsules for quality control purposes.
A capillary electrophoresis method for the simultaneous determination of the enantiomeric purity and of impurities of the chiral calcimimetic drug cinacalcet hydrochloride has been developed following Quality by Design principles. The scouting phase was aimed to select the separation operative mode and to identify a suitable chiral selector. Among the tested cyclodextrins, (2-carboxyethyl)-β-cyclodextrin and (2-hydroxypropyl)-γ-cyclodextrin (HPγCyD) showed good chiral resolving capabilities. The selected separation system was solvent-modified capillary zone electrophoresis with the addition of HPγCyD and methanol. Voltage, buffer pH, methanol concentration and HPγCyD concentration were investigated as critical method parameters by a multivariate strategy. Critical method attributes were represented by enantioresolution and analysis time. A Box-Behnken Design allowed the contour plots to be drawn and quadratic and interaction effects to be highlighted. The Method Operable Design Region (MODR) was identified by applying Monte-Carlo simulations and corresponded to the multidimensional zone where both the critical method attributes fulfilled the requirements with a desired probability π≥90%. The working conditions, with the MODR limits, corresponded to the following: capillary length, 48.5cm; temperature, 18°C; voltage, 26kV (26-27kV); background electrolyte, 150mM phosphate buffer pH 2.70 (2.60-2.80), 3.1mM (3.0-3.5mM) HPγCyD; 2.00% (0.00-8.40%) v/v methanol. Robustness testing was carried out by a Plackett-Burman matrix and finally a method control strategy was defined. The complete separation of the analytes was obtained in about 10min. The method was validated following the International Council for Harmonisation guidelines and was applied for the analysis of a real sample of cinacalcet hydrochloride tablets.
- MeSH
- beta-cyklodextriny chemie MeSH
- cinakalcet chemie izolace a purifikace MeSH
- elektroforéza kapilární metody MeSH
- gama-cyklodextriny chemie MeSH
- hodnocení rizik MeSH
- koncentrace vodíkových iontů MeSH
- kontaminace léku MeSH
- metoda Monte Carlo MeSH
- pravděpodobnost MeSH
- rozpouštědla MeSH
- stereoizomerie MeSH
- Publikační typ
- časopisecké články MeSH
