An eco-friendly chemometrics assisted UV spectrophotometric method for simultaneous determination of sofosbuvir, simeprevir and ledipasvir in pharmaceuticals.

IF 4.3 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Adil Alshehri, Ali Alqahtani, Abdulrhman Alsayari, Ahmed A Almrasy
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Abstract

This study develops and validates an eco-friendly ultraviolet (UV)-spectrophotometric method employing augmented least squares chemometric models for the simultaneous determination of three hepatitis C antiviral drugs-sofosbuvir, simeprevir, and ledipasvir. Two multivariate approaches were compared: Concentration Residual Augmented Classical Least Squares (CRACLS) and Spectral Residual Augmented Classical Least Squares (SRACLS). The experimental design utilized a 5-level partial factorial design for calibration (25 samples) and a central composite design for validation (20 samples). SRACLS models demonstrated superior analytical performance with lower detection limits (0.5171, 0.5175, 0.2950 μg/mL), higher precision (relative bias corrected mean square error of prediction, RBCMSEP: 0.1481-0.2509%), and better predictive capability (relative root mean square error of prediction, RRMSEP: 1.0285%, 1.2668%, 1.8933%) compared to CRACLS models (RRMSEP: 3.0655%, 1.9264%, 2.7201%). The SRACLS models also exhibited lower complexity with fewer principal components (3, 2, and 3) versus CRACLS iterations (4, 4, and 6). Application to commercial pharmaceuticals yielded excellent recoveries (99.70-100.39%) with no statistically significant difference from reference high-performance liquid chromatography (HPLC) methods. Greenness assessment confirmed the method's environmental advantages with superior scores in multiple sustainability metrics (Analytical GREEnness metric, AGREE: 0.75; Modified Green Analytical Procedure Index, MOGAPI: 78; RGB12 whiteness score: 94.2) compared to conventional chromatographic techniques (AGREE: 0.63-0.65, MOGAPI: 66-72, RGB12: 76.9-83.3). These findings establish the proposed method as a rapid, sensitive, and eco-friendly alternative for routine quality control of these critical hepatitis C drugs.

化学计量学辅助紫外分光光度法同时测定药物中索非布韦、西莫普韦和来地帕韦的含量。
本研究开发并验证了一种环保型紫外分光光度法,该方法采用增广最小二乘化学计量模型同时测定三种丙型肝炎抗病毒药物索非布韦、西莫普韦和雷地帕韦。比较了两种多变量方法:浓度残差增广经典最小二乘法(CRACLS)和光谱残差增广经典最小二乘法(SRACLS)。实验设计采用5水平部分析因设计进行校准(25个样本),采用中心复合设计进行验证(20个样本)。与CRACLS模型(RRMSEP: 3.0655%、1.9264%、2.7201%)相比,SRACLS模型具有更低的检出限(0.5171、0.5175、0.2950 μg/mL)、更高的精密度(相对偏置校正后的预测均方误差,RBCMSEP: 0.1481 ~ 0.2509%)和更强的预测能力(预测相对均方根误差,RRMSEP: 1.0285%、1.2668%、1.8933%)。与CRACLS迭代(4,4和6)相比,SRACLS模型也表现出较低的复杂性,具有较少的主成分(3,2和3)。应用于商业药品,回收率为99.70 ~ 100.39%,与标准高效液相色谱(HPLC)方法差异无统计学意义。绿色度评估证实了该方法的环境优势,在多个可持续性指标中得分更高(分析绿色度指标,AGREE: 0.75;修订绿色分析程序指数,MOGAPI: 78;与传统色谱技术(AGREE: 0.63-0.65, MOGAPI: 66-72, RGB12: 76.9-83.3)相比,RGB12白度评分为94.2。这些发现确立了该方法作为这些关键丙型肝炎药物常规质量控制的快速、敏感和环保的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Chemistry
BMC Chemistry Chemistry-General Chemistry
CiteScore
5.30
自引率
2.20%
发文量
92
审稿时长
27 weeks
期刊介绍: BMC Chemistry, formerly known as Chemistry Central Journal, is now part of the BMC series journals family. Chemistry Central Journal has served the chemistry community as a trusted open access resource for more than 10 years – and we are delighted to announce the next step on its journey. In January 2019 the journal has been renamed BMC Chemistry and now strengthens the BMC series footprint in the physical sciences by publishing quality articles and by pushing the boundaries of open chemistry.
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