Issue

Vol. 8 (2022)

Published January 31, 2022 2 articles

Research Articles

Stability indicating novel analytical method development by RP-UPLC for the estimation of Gitingensine in bulk

Sowmya Panduri, Theja Indireddy, Ramya Kuber Banoth

A new method was proposed using RP-UPLC for the determination of Gitingensine in bulk, which exhibits its power of stability output. Gitingensine is a natural product found in Kibatalia laurifolia belonging to Apocynaceae which is a steroid having the activities such as anti-inflammatory, anti-spasmodic and anti-cancer activity. Cevadine is used as an internal standard for chromatographic analysis. The elution was performed on BEH C18 (2.1 × 50 mm, 1.7 µm) column at 30 °C with a mobile phase distribution Acetonitrile: 0.1% orthophosphoric acid (60: 40) respectively. The flow rate was well- kept at 0.3 mL min -1 . Retention times for Gitingensine and Cevadine were found to be 2.005 and 1. 395 min, respectively. The regression equation was found to be linear in the range of 12.5 – 75 µg/mL with a high correlation coefficient (0.999). Recovery of Gitingensine was obtained as 100.04%. Validation was done as claimed by ICH guidelines with respect to accuracy, sensitivity, robustness, and precision studies. From the insignificant variations in the analysis by changing the mobile phase, temperature, and flow rate, the robustness was studied. All the validation parameters were found to be within the specifications. Forced degradation studies revealed that when the influence of acid, alkali, peroxide, thermal, photolytic, and hydrolytic conditions were applied on the drug, it was stable. Hence, it can be concluded that the developed RP-UPLC method is economical, precise, and robust and can be adopted in regular Quality control analysis.

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Research Reviews

Review on statistical methods applied in pharmaceutical quality control and quality assurance

Aishwarya Karan, Venkatesan Jayaprakash, Manik Ghosh

Global competitions have made the pharmaceutical industry undergo numerous obstacles to meet up with the pace of drug discovery, growth and expansion. In order to effectively manufacture a quality product, statistical methods can be implemented for continuous improvement. Evolution in quality is accessed by determining the beneficial effects due to changes in process performance. The use of statistical tools and statistical methods have increased exponentially to meet specifications of quality during the development of pharmaceutical product. Statistical process control is a segment of industrial statistics utilized for the continuous improvement in the product quality. Statistical process control technique is a method to analyse any variation by the process of timely evaluation of the manufacturing procedure.

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