应用盒式贝肯设计优化动力学分光光度法和计算研究来确定和评估拉贝洛尔绿色分析化学的生态规模

IF 2.7 4区 医学 Q2 PHARMACOLOGY & PHARMACY
SK Manirul Haque, Thamer Nasser Aldhafeeri, Nafisur Rahman, Rajeev Jain, Yunusa Umar, Masoom Raza Siddiqui
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引用次数: 0

摘要

目的 本研究旨在利用方框-本肯设计法对拉贝洛尔进行定量分析,与通常的因子技术相比,方框-本肯设计法可以用较少的运行次数生成高阶响应面,并对重要模型进行优化。在室温下,用碘酸钾和碘化钾的混合物测定拉贝洛尔,生成稳定的黄色产物,吸收波长为 351 nm。采用箱-贝肯(Box-Behnken)实验设计和响应面方法进行了优化。研究了四个重要因素:拉贝洛尔体积、反应时间、碘酸钾和碘化钾体积与反应吸光度的关系。二维和三维响应面图显示了各参数对响应的影响以及它们之间的相关性。统计分析和多项式方程对模型有效性的重要性。结果线性范围为 0.25-49.9 µg/mL。对不同定标的分析表明,线性范围在 0.9928-0.9988 之间。检测限(LOD)和定量限(LOQ)分别为 0.28-0.35 µg/mL 和 0.92-1.16 µg/m。结论 该方法简便、环保、仪器成本低。利用生态尺度分析评价工具,将拟议方法的绿色报告与参考报告的传统方法进行了比较。所报告的方法在使用危险试剂、能源消耗和废物产生方面更环保。因此,所提出的策略可以安全地应用于药物制剂、生物液体和废水样品中拉贝洛尔的定量分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Application of Box-Behnken-Design in the Optimization of Kinetic Spectrophotometry and Computational Studies to Determine and Assessing Eco-Scale to Green Analytical Chemistry for Labetalol

The Application of Box-Behnken-Design in the Optimization of Kinetic Spectrophotometry and Computational Studies to Determine and Assessing Eco-Scale to Green Analytical Chemistry for Labetalol

The Application of Box-Behnken-Design in the Optimization of Kinetic Spectrophotometry and Computational Studies to Determine and Assessing Eco-Scale to Green Analytical Chemistry for Labetalol

Purpose

The study is aimed at the quantitative analysis of Labetalol utilizing Box-Benken design, where higher order response surfaces are generated and optimized for a significant model using fewer runs than a usual factorial technique.

Method

The kinetic spectrophotometric methods were established to compute labetalol in pharmaceutical formulations. Initial rate and fixed-time methods were developed to determine labetalol with the mixture of potassium iodate and potassium iodide at room temperature to produce a stable yellow-coloured product that absorbs at 351 nm. The optimization was reached using the Box-Behnken experimental design involving response surface methodology. Four significant factors were investigated: labetalol volume, reaction time, potassium iodate and potassium iodide volume against response absorbance. The two and three-dimensional response surface plots revealed the significance of each parameter on the response and the correlation between them. The importance of statistical analysis and polynomial equations on the model’s efficacy. The developed method was also validated according to International Conference on Harmonization guidelines, and outcomes were accurate and precise within the limit.

Results

The linearity was in the range of 0.25–49.9 µg/mL. The analysis of the different calibrations suggests excellent linearity ranging from 0.9928-0.9988. The limit of detection (LOD) and limit of quantitation (LOQ) are in the range of 0.28-0.35 µg/mL and 0.92-1.16 µg/m, respectively. In comparing the proposed method with the reference one, the recovery ranges of the initial rate, fixed time and the reference methods were in the range of 99.34–99.57, 99.43-99.56, and 98.56-98.99, respectively.

Conclusion

The proposed method is simple, environmentally friendly, and involves cost-effective instruments. The proposed method’s greenness report was compared to the reference-reported traditional methods using the analytical Eco-Scale evaluation tool. The reported approach was greener regarding using perilous reagents, energy consumption, and waste production. Therefore, the proposed strategies could be safely applicable in pharmaceutical formulations, biological fluids, and wastewater samples to quantify labetalol.

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来源期刊
Journal of Pharmaceutical Innovation
Journal of Pharmaceutical Innovation PHARMACOLOGY & PHARMACY-
CiteScore
3.70
自引率
3.80%
发文量
90
审稿时长
>12 weeks
期刊介绍: The Journal of Pharmaceutical Innovation (JPI), is an international, multidisciplinary peer-reviewed scientific journal dedicated to publishing high quality papers emphasizing innovative research and applied technologies within the pharmaceutical and biotechnology industries. JPI''s goal is to be the premier communication vehicle for the critical body of knowledge that is needed for scientific evolution and technical innovation, from R&D to market. Topics will fall under the following categories: Materials science, Product design, Process design, optimization, automation and control, Facilities; Information management, Regulatory policy and strategy, Supply chain developments , Education and professional development, Journal of Pharmaceutical Innovation publishes four issues a year.
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