Simultaneous analysis of daclatasvir with its three organic impurities: Application in stability studies, pharmaceuticals and serum samples

A review on analytical methods with special reference to electroanalytical methods for the determination of some anticancer drugs in pharmaceutical and biological samples

It is widely accepted that cancer, the second leading cause of death, is a morbidity with big impacts on the global health. In the last few years, chemo-therapeutic treatment continually induces alone most lengthy consequents, which is extremely harmful for the physiological and psychological health of the patients. In the present research, we discuss the recent techniques for employed for extraction, and quantitative determination of such compounds in pharmaceutical, and biological specimens. In the frame of this information, this review aims to provide basic principles of chromatography, spectroscopy, and electroanalytical methods for the analysis of anticancer drugs published in the last three years. The review also describes the recent developments regarding enhancing the limit of detection (LOD), the linear dynamic range, and so forth. The results show that the LOD for the chromatographic techniques with the UV detector was obtained equaled over the range 2.0 ng mL^-1-0.2 μg mL^-1, whereas the LOD values for analysis by chromatographic technique with the mass spectrometry (MS) detector was found between 10.0 pg mL^-1-0.002 μg mL^-1. The biological fluids could be directly injected to capillary electrophoresis (CE) in cases where the medicine concentration is at the contents greater than mg L^-1 or g L^-1. Additionally, electrochemical detection of the anticancer drugs has been mainly conducted by the voltammetry techniques with diverse modified electrodes, and lower LODs were estimated between 3.0 ng mL^-1-0.3 μg mL^-1. It is safe to say that the analyses of anticancer drugs can be achieved by employing a plethora of techniques such as electroanalytical, spectroscopy, and chromatography techniques.

Optimization of a liquid chromatography method for the analysis of related substances in daclatasvir tablets using design of experiments integrated with the steepest ascent method and Monte Carlo simulation

Analytical method for the determination of related substances (RS) in Daclatasvir tablets was optimised using quality by design (QbD) approach. Seven degradants (each more than 1.0%) generated during oxidation study, adversely affected the selectivity of the method. Coelution of the degradant peaks with API and known impurities, suggested failure in developing a stability indicating method. To overcome the shortcomings and develop a robust method, QbD principles were incorporated. Resolution was the critical quality attribute (CQA) and buffer pH, column oven temperature, gradient slope and flow rate were the critical method variables (CMVs) studied through design of experiments (DoE). Discovery of an unknown impurity (named as impurity D, about1.0%) was a key finding from this DoE study. The most crucial responses viz. Resolution between impurity D and the main peak and resolution between the main peak and impurity E demanded contradictory pH requirements. To select the right pH, responses were prioritised and eventually to attain the desired resolution between Daclatasvir and impurity E the value for pH was fixed to 3.0. Next, to improve resolution between impurity D and Daclatasvir, method of steepest ascent was applied to locate an apt value for column oven temperature. Accordingly, experiments were performed at different temperatures along the path of rapid increase in response. Finally, at 45 °C (pH :3.0), both the critical pairs were well resolved. The global optimum was determined through a Response surface methodology (RSM) design with pH and column oven temperature as critical factors. pH 3.0, column oven temperature 44 °C, % MP. B 45% and flow rate 1.0 mL min^-1 was found to be the optimum condition. Further, the design space was complimented by establishment of a robust zone through Monte Carlo simulation and capability analysis. An analytical control strategy (ACS) was set up to ensure that the method repeatedly meets its acceptance criteria. The optimised method was successfully validated within the factor ranges mentioned in the ACS. Despite various intricacies, the QbD approach facilitated systematic optimisation of a stability indicating robust method.