AQbD-Oriented UHPLC/MS/MS Method Development for Glycopeptides Assessment in Pharmaceutical Forms.

Vancomycin and teicoplanin are glycopeptide antibacterials that inhibit the bacteria cell wall synthesis showing activity against gram-positive bacteria. Development of the sensitive method is of great importance for quality control of these drugs that are fermentation products. Modification of the fermentation conditions could cause the differences in the relative amount of the total substance or component, as it is the case with teicoplanin. The main objective of this study was development of the sensitive and effective ultra high performance liquid chromatography - tandem mass sprectrometry (UHPLC-MS/MS) method for simultaneous quantification of vancomycin, all six subcomponents of teicoplanin, and its pharmacopoeial impurity A in pharmaceutical forms. The scientific-based Quality by Design approach was implemented in the MS and UHPLC method development. Detection and quantification of analytes were carried out in positive electrospray ion mode by multiple reaction monitoring. Capillary voltage, cone voltage and collision energy were optimized by implementing experimental design methodology and optimal values for each fragment ion were obtained by performing experiments according to 'Rechtschaffen' design matrix. An ACQUITY CSH Phenyl-hexyl (2.1 × 50 mm, particle size 1.7 µm) column was chosen for the separation under the gradient elution mode with the mobile phase consisted of 0.1% formic acid in water (mobile phase A) and acetonitrile (mobile phase B). Optimal gradient elution parameters were achieved by applying 'Rechtschaffen' design too. Method operable design regions were constructed for investigated MS and chromatographic parameters. The method was fully validated, and its applicability was confirmed throughout the ability to follow the behavior of vancomycin and teicoplanin under stress conditions.

Determination of higenamine in dietary supplements by UHPLC/MS/MS method.

From 1st January 2017 higenamine was added on the WADA (World Anti-doping Agency) Prohibited list under S3 group beta-2 agonists as at all times banned substance for the athletes. The main origine of higenamine (or norcoclaurine) are different plants including Nandina domestica, Aconitum carmichaelii, Asarum heterotropioides, Galium divaricatum, Annona squamosa, Nelumbo nucifera etc. Higenamine main use is related to weight loss and it could be found (un)labeled in different dietary supplements. The objective of this study was development of sensitive and reliable UHPLC/MS/MS method for determination of higenamine in various dietary supplement samples. In order to obtain high method sensitivity, hydrophilic interaction liquid chromatography (HILIC) mode was applied. Separation was carried out on UHPLC Acquity BEH HILIC analytical column (2.1mm×100mm, 1.7µm particle size). Mobile phase consisted of 0.1% formic acid in water and acetonitrile, respectively, was mixed in ratio of 30:70, v/v. Flow rate was set at 0.2mLmin-1. Quercetin was used as an internal standard. ESI (+) source ionization mode using multi reaction monitoring (MRM) mode was utilized and three ion transitions of higenamine were followed 272.08→107.01, 272.08→161.07 and 272.08→77.08. Developed method was fully validated and applied for identification and quantification of higenamine in different dietary supplements. According to the results, the most of investigated supplements were free of higenamine, and on the other hand, presence of higenamine was confirmed in some samples while it was not declared on the label.

Systematical approach in evaluation of LC method for determination of raloxifene hydrochloride and its impurities employing experimental design.

Method validation presents a detailed investigation of analytical method and provision of the evidence that the method, when correctly applied, produces results that fit to the purpose. In order to achieve the method validation scope efficiently, experimental design presents a very useful tool. The greatest benefits of such approach could be seen in robustness testing through the provision of very useful data about the control of the chromatographic system during the routine application. In this paper, robustness testing of the LC method proposed for the determination of raloxifene hydrochloride and its four impurities was done employing Plackett-Burman design. Applying this design, the effect of five real factors (acetonitrile content, sodium dodecyl sulfate content, column temperature, pH of the mobile phase and flow rate) on the corresponding resolution factors was investigated through twelve experiments. Furthermore, the insignificance intervals for significant factors were calculated and the parameters for system suitability tests were defined. Eventually, the other validation parameters were tested and the effectiveness of the proposed analytical method with a high degree of accuracy was confirmed.

Advancement in optimization tactic achieved by newly developed chromatographic response function: application to LC separation of raloxifene and its impurities.

In this paper a new chromatographic response function (CRF) is designed and proposed for utilization in the optimization strategies. The function capability to represent the overall quality of a experimentally obtained chromatograms was compared to the other two objective functions and proved to give more accurate and reliable results. The new CRF has improved concept of separation and time term estimation. It reflects all important defects of the chromatogram such as the appearance of asymmetrical or overlapping peaks and prolonged elution time and allows the appropriate weighting of each of them. The LC separation of raloxifene and its four impurities was evaluated through the central composite design experimental plan choosing the new CRF to be the only output of the system. The function demonstrated the ability to judge the impact of the complex interactions of the selected chromatographic parameters (acetonitrile content in the mobile phase, sodium dodecyl sulfate concentration in the water phase, pH of the mobile phase and column temperature) on the mixture behavior and led to the determination of the optimal separation conditions. The newly developed CRF proved to have the advanced performances and it presents the important step forward in the optimization of the chromatographic separation.

Artificial neural networks in analysis of indinavir and its degradation products retention.

Artificial neural networks (ANN) are biologically inspired computer programs designed to simulate the way in which the human brain processes the information. In the past few years, coupling of experimental design (ED) and ANN became useful tool in the method optimization. This paper presents the application of ED-ANN in analysis of chromatographic behavior of indinavir and its degradation products. According to preliminary study, full factorial design 2(4) was chosen to set input variables for network training. Experimental data (inputs) and results for retention factors from experiments (outputs) were used to train the ANN with aim to define correlation among variables. For networks training multi-layer perceptron (MLP) with back propagation (BP) algorithm was used. Network with the lowest root mean square (RMS) had 4-8-3 topology. Predicted data were in good agreement with experimental data (correlation was higher than 0.9713 for training set). Regression statistics confirmed good ability of trained network to predict compounds retention.

Chemometrical evaluation of ropinirole and its impurity's chromatographic behavior.

The aim of this study was the chemometrical evaluation of ropinirole and its impurity's (4-[2-(dipropylamino)ethyl]-1H-indol-2,3-dione) chromatographic behavior in systematic and the most efficient way. For that purpose, as very descriptive, response surface designs are most preferable. Face-centered central composite design (CCD) with 2(3) full factorial design, +/-1 star design and four replication in central point was applied for a response surface study, in order to examine in depth the effects of the most important factors. Factors-independent variables (acetonitrile content, pH of the mobile phase and concentration of sodium heptane sulfonate in water phase) were extracted from the preliminary study and as dependent variables five responses (retention factor of ropinirole, retentin factor of its impurity, resolution, symmetry of ropinirole peak and symmetry of impurity peak) were selected. For the improvement of method development and optimization step, Derringer's desirability function was applied to simultaneously optimize the five chosen responses. The procedure allowed deduction of optimal conditions and the predicted optimum was acetonitrile-5mM of sodium heptane sulfonate (21.6:78.4, v/v), pH of the mobile phase adjusted at 2.0 with ortho phosphoric acid. By calculating global desirability's determination coefficients (R(D)(2)), as well as by the visual inspection of 3D graphs for global desirability, robustness of the proposed method was also estimated.