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Analytical method development and validation of simultaneous estimation of rabeprazole, pantoprazole, and itopride by reverse-phase high-performance liquid chromatography

机译:反相高效液相色谱法同时测定雷贝拉唑,pan托拉唑和伊托必利的分析方法开发和验证

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摘要

Abstract A simple, selective, rapid, and precise reverse-phase high-performance liquid chromatography (RP-HPLC) method for the simultaneous estimation of rabeprazole (RP), pantoprazole (PP), and itopride (IP) has been developed. The compounds were well separated on a Phenomenex {C18} (Luna) column (250?mm?×?4.6?mm, dp?=?5?μm) with {C18} guard column (4?mm?×?3?mm?×?5?μm) with a mobile phase consisting of buffer containing 10?mM potassium dihydrogen orthophosphate (adjusted to pH 6.8): acetonitrile (70:30 v/v) at a flow rate of 1.0?mL/min and ultraviolet detection at 288?nm. The retention time of RP, PP, and {IP} were 5.35, 7.92, and 11.16?minutes, respectively. Validation of the proposed method was carried out according to International Conference on Harmonisation (ICH) guidelines. Linearity range was obtained for RP, PP, and {IP} over the concentration range of 2.5–25, 1–30, and 3–35?μg/mL and the r2 values were 0.994, 0.978, and 0.991, respectively. The calculated limit of detection (LOD) values were 1, 0.3, and 1?μg/mL and limit of quantitation (LOQ) values were 2.5, 1, and 3?μg/mL for RP, PP, and {IP} correspondingly. Thus, the current study showed that the developed reverse-phase liquid chromatography method is sensitive and selective for the estimation of RP, PP, and {IP} in combined dosage form.
机译:摘要建立了一种同时,同时测定雷贝拉唑(RP),pan托拉唑(PP)和伊托必利(IP)的简单,选择性,快速和精确的反相高效液相色谱(RP-HPLC)方法。用Phenomenex {C18 }(Luna)色谱柱(250?mm?×?4.6?mm,dp?=?5?μm)和 {C18 }保护柱(4?mm?× ?3?mm?×?5?μm),流动相由含10?mM正磷酸二氢钾(调节至pH 6.8):乙腈(70:30 v / v)的缓冲液组成,流速为1.0?mL /分钟和紫外线检测在288?nm。 RP,PP和 {IP }的保留时间分别为5.35、7.92和11.16?min。根据国际协调会议(ICH)指南对提出的方法进行了验证。 RP,PP和 {IP }的线性范围分别在2.5–25、1–30和3–35µg / mL的浓度范围内,r2值分别为0.994、0.978和0.991。对于RP,PP和 {IP },计算得出的检测极限(LOD)值为1、0.3和1?μg/ mL,定量极限(LOQ)值为2.5、1,和3μg/ mL。相应地。因此,当前的研究表明,所开发的反相液相色谱方法对于联合剂型中RP,PP和 {IP }的估计是灵敏且选择性的。

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