A novel Six Sigma approach and eco-friendly RP-HPLC technique for determination of pimavanserin and its degraded products: Application of Box–Behnken design

IF 3.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL Reviews in Analytical Chemistry Pub Date : 2024-01-01 DOI:10.1515/revac-2023-0073
Hossam M. Nassef, Hoda A. Ahmed, A. Bashal, Mohamed A. El-Atawy, Tahani Y. A. Alanazi, Samar M. Mahgoub, Mahmoud A. Mohamed
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Abstract

A green analytical chemistry study attempts to generate environmentally friendly alternatives to dangerous compounds while reducing waste output. The study thoroughly analyzed eight green tools to determine their greenness. Given its importance in treating hallucinations and delusions produced by Parkinson’s disease psychosis, it is critical to have a reliable and precise method for identifying pimavanserin (PVS) in both pure form and pharmaceutical formulations. The current study used a straightforward approach to forced degradation experiments to establish a novel reversed-phase high-performance liquid chromatography method for evaluating stability. The method was executed on the Agilent Zorbax Eclipse Plus C18 column (100 × 4.6 mm, 3.5 μm particle size) with ultraviolet detection at 226 nm. The Box–Behnken design is the ultimate solution for identifying optimal chromatographic conditions in a timely and efficient manner, with minimal trials required. The study investigated the impact of three factors: acetonitrile ratio, column oven temperature, and flow rate on various responses, namely, retention time, tailing factor, and theoretical plates. Desirability and overlay plots were utilized to forecast the best mobile phase containing a buffer solution: acetonitrile: tetrahydrofuran in a ratio of (65: 20: 15, v/v/v), which proved highly effective in the experiments. Linearity was conducted for PVS in the 3–50 µg·mL−1 range with an R 2 coefficient of determination of 0.9997. PVS had detection and quantification limits of 1.1 and 3.5 µg·mL−1, respectively, indicating a highly significant correlation between the variables studied. PVS’s recovery percentage was determined to be 101.30%. We also used the Six Sigma lean technique to ensure precision and productivity. PVS was tested for acid, base, oxidative hydrolysis, photodegradation, and heat, as per International Council for Harmonisation guidelines. The highest degradation was obtained from oxidative hydrolysis and thermal degradation.
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一种新颖的六西格玛方法和环保型 RP-HPLC 技术用于测定匹马色林及其降解产物:方框-贝肯设计的应用
一项绿色分析化学研究试图生产危险化合物的环保型替代品,同时减少废物产出。这项研究全面分析了八种绿色工具,以确定其绿色程度。鉴于其在治疗帕金森氏病精神错乱所产生的幻觉和妄想方面的重要性,拥有一种可靠而精确的方法来鉴定纯品和药物制剂中的匹马伐林(PVS)至关重要。本研究采用直接的强制降解实验方法,建立了一种新型反相高效液相色谱法,用于评估稳定性。该方法采用 Agilent Zorbax Eclipse Plus C18 色谱柱(100 × 4.6 mm,3.5 μm 粒径),紫外检测波长为 226 nm。方框-贝肯设计是及时有效地确定最佳色谱条件的最终解决方案,只需进行最少的试验。该研究调查了乙腈比例、色谱柱烘箱温度和流速这三个因素对保留时间、拖尾因子和理论平板等各种反应的影响。利用可取性图和叠加图预测了最佳流动相,流动相含有缓冲溶液:乙腈:四氢呋喃,比例为(65:20:15,v/v/v),实验证明该流动相非常有效。PVS 在 3-50 µg-mL-1 范围内呈线性关系,R 2 测定系数为 0.9997。PVS 的检测限和定量限分别为 1.1 微克-毫升-1 和 3.5 微克-毫升-1,这表明所研究的变量之间存在高度显著的相关性。经测定,PVS 的回收率为 101.30%。我们还采用了六西格玛精益技术,以确保精度和生产率。根据国际协调理事会的指导方针,对 PVS 进行了酸、碱、氧化水解、光降解和热测试。氧化水解和热降解的降解率最高。
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来源期刊
Reviews in Analytical Chemistry
Reviews in Analytical Chemistry 化学-分析化学
CiteScore
7.50
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Reviews in Analytical Chemistry publishes authoritative reviews by leading experts in the dynamic field of chemical analysis. The subjects can encompass all branches of modern analytical chemistry such as spectroscopy, chromatography, mass spectrometry, electrochemistry and trace analysis and their applications to areas such as environmental control, pharmaceutical industry, automation and other relevant areas. Review articles bring the expert up to date in a concise manner and provide researchers an overview of new techniques and methods.
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Quantitative methods in the analysis of clozapine in human matrices – A scoping review Latest trends in honey contaminant analysis, challenges, and opportunities for green chemistry development A novel Six Sigma approach and eco-friendly RP-HPLC technique for determination of pimavanserin and its degraded products: Application of Box–Behnken design Recent advance in electrochemical immunosensors for lung cancer biomarkers sensing Greenness of dispersive microextraction using molecularly imprinted polymers
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