4.2 Article

Derivative Spectrophotometric Methods for Determination of Gefitinib in Bulk and in Formulation

期刊

JOURNAL OF APPLIED SPECTROSCOPY
卷 88, 期 5, 页码 1088-1094

出版社

SPRINGER
DOI: 10.1007/s10812-021-01284-3

关键词

gefitinib; derivative spectrophotometry; method validation; analysis

资金

  1. University Grants Commission

向作者/读者索取更多资源

A rapid, sensitive, cost effective and reproducible first-order derivative spectrophotometric method was developed for the estimation of gefitinib in bulk and in its marketed formulation. The method, involving 20 parametric variations, was selected based on its stability indicating potential in force degraded solutions and assessed using peak-zero (P-0) and peak-peak (P-P) techniques. Validation showed excellent linearity in the concentration range of 5-50 μg/mL with a correlation coefficient (r(2)) of 0.999.
A rapid, sensitive, cost effective and reproducible first-order derivative spectrophotometric method was developed for the estimation of gefitinib in bulk and in its marketed formulation. Preliminary spectrophotometric determination of the drug was carried out in acetate buffer pH 2.8 and in 0.1 N HCl with a total of 20 parametric variations. The selected method with three parametric variations employing peak-zero (P-0) and peak-peak (P-P) techniques was assessed for stability indicating potential in force degraded solutions. The developed method was validated with respect to linearity, accuracy, precision, and robustness. Linearity was observed in the concentration range of 5-50 mu g/mL with an excellent correlation coefficient (r(2)) of 0.999. The limits of assay detection values were found for the range from 1.69-3.75 mu g/mL, and quantitation limits ranged from 5.11-12.71 mu g/mL for the proposed method. The proposed method was applicable for the determination of the drug in its marketed tablet formulation, and percentage recovery was found for the range from 97.42 to 98.58%.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据