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Development and Validation of Liquid Chromatographic Method for Estimation of Naringin in Nanoformulation

机译:纳米配方中柚皮苷估计的液相色谱方法开发与验证

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A simple, precise, accurate, rapid, and sensitive reverse phase high performance liquid chromatography (RP-HPLC) method with UV detection has been developed and validated for quantification of naringin (NAR) in novel pharmaceutical formulation. NAR is a polyphenolic flavonoid present in most of the citrus plants having variety of pharmacological activities. Method optimization was carried out by considering the various parameters such as effect of pH and column. The analyte was separated by employing a C18(250.0 × 4.6 mm, 5 μm) column at ambient temperature in isocratic conditions using phosphate buffer pH 3.5: acetonitrile (75 : 25% v/v) as mobile phase pumped at a flow rate of 1.0 mL/min. UV detection was carried out at 282 nm. The developed method was validated according to ICH guidelines Q2(R1). The method was found to be precise and accurate on statistical evaluation with a linearity range of 0.1 to 20.0 μg/mL for NAR. The intra- and interday precision studies showed good reproducibility with coefficients of variation (CV) less than 1.0%. The mean recovery of NAR was found to be 99.33 ± 0.16%. The proposed method was found to be highly accurate, sensitive, and robust. The proposed liquid chromatographic method was successfully employed for the routine analysis of said compound in developed novel nanopharmaceuticals. The presence of excipients did not show any interference on the determination of NAR, indicating method specificity.
机译:已开发出一种具有紫外线检测功能的简单,精确,准确,快速和灵敏的反相高效液相色谱(RP-HPLC)方法,并已验证用于定量新型药物制剂中柚皮苷(NAR)的含量。 NAR是存在于大多数具有多种药理活性的柑橘类植物中的多酚类黄酮。通过考虑各种参数(例如pH和色谱柱的影响)来进行方法优化。在室温下等度条件下,使用C18(250.0××4.6μmm,5μm)色谱柱,使用pH 3.5的磷酸盐缓冲液:乙腈(75 :: 25%v / v)作为流动相,以1.0的流速泵入,分离分析物毫升/分钟在282nm处进行UV检测。根据ICH指南Q2(R1)对开发的方法进行了验证。发现该方法在统计评估中是精确和准确的,对于NAR,线性范围为0.1至20.0μg/ mL。日内和日间精度研究显示出良好的重现性,变异系数(CV)小于1.0%。 NAR的平均回收率为99.33±0.16%。发现所提出的方法是高度准确,灵敏且鲁棒的。所提出的液相色谱方法已成功用于开发的新型纳米药物中所述化合物的常规分析。赋形剂的存在对NAR的测定没有任何干扰,表明方法的特异性。

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