反相高效液相色谱法测定注射剂型中盐酸利多卡因的含量:白色分析化学与实验设计相结合的环保高效方法。

IF 1.7
Elif Özdemir, Şule Dinç-Zor
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引用次数: 0

摘要

背景:近年来,环境影响、人体健康和成本在药物化合物色谱分析中变得越来越重要。传统的方法使用有机溶剂,如乙腈(ACN)和甲醇(MeOH),这些溶剂挥发性强,易燃,有毒,对环境有害。通过利用现有的关于化学品对人类健康和环境影响的综合数据,应当在知情的情况下作出选择,确定哪些化学品更适合某一特定的合成或工艺,甚至向绿色化学迈出一小步。目的:建立绿色高效液相色谱(HPLC)分析利多卡因的方法,以绿色溶剂代替传统色谱方法中流动相中使用的有毒溶剂。为了实现这一点,乙醇被用作流动相中的有机改性剂,而不影响分析性能,从而能够过渡到绿色色谱。方法:以流动相pH、流速、流动相乙醇含量为自变量进行优化。随机选取实验运行,共进行15次实验。计算各HPLC图谱的响应参数,采用回归分析进行评价,并采用方差分析检验结果的准确性。利用德林格理想函数对条件进行优化。因此,确定的最佳条件为流动相pH为4.0,流速为1.3 mL/min,流动相中乙醇含量为25%。结果:采用高效液相色谱法测定利多卡因,为利多卡因的测定提供了一种环保、灵敏、可靠的替代方法。结论:建立并验证的绿色高效液相色谱方法可替代美国药典等文献报道的对环境和人体健康不友好的传统高效液相色谱方法,用于药物制剂中利多卡因的分析。使用乙醇代替潜在有毒的有机溶剂,最大限度地减少对环境和分析人员健康的危害。此外,该方法还具有缩短分析时间、节省溶剂和时间、不需要劳动密集型样品和溶剂制备步骤等优点,使其成为一种有吸引力的选择。人们认为,所开发的方法在制药工业中特别有用,特别是在进行快速和高通量分析的质量控制实验室中,以及在研发研究中。重点:建立了绿色可持续的高效液相色谱法分析利多卡因。采用实验设计法和德林格期望函数法对色谱进行优化。该方法具有较高的准确度、精密度,适用于注射制剂的常规分析。白色分析化学评价采用RGB12、AES、GAPI和AGREE指标进行。与文献中报道的RP-HPLC方法相比,所开发的方法减少了分析时间、试剂消耗、资源使用和成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an RP-HPLC Method for the Determination of Lidocaine Hydrochloride in Injectable Formulation: Combining White Analytical Chemistry and Experimental Design with Eco-Friendly and Cost-Effective Method.

Background: In recent years, environmental impact, human health, and cost have become increasingly important in chromatographic analysis of pharmaceutical compounds. Traditional methods use organic solvents like acetonitrile (ACN) and methanol (MeOH), which are volatile, flammable, toxic, and environmentally harmful. By using the available comprehensive data on the effects of chemicals on human health and the environment, informed choices should be made about which chemicals are more suitable for a given synthesis or process, taking even a small step toward green chemistry.

Objective: In this study, the aim is to develop a green high-performance liquid chromatography (HPLC) method for the analysis of lidocaine by replacing the toxic solvents traditionally used in the mobile phases of classical chromatographic methods with greener alternatives. To achieve this, ethanol is used as the organic modifier in the mobile phase without compromising analytical performance, thereby enabling a transition to green chromatography.

Methods: The independent variables considered were the pH of the mobile phase, flow rate, and ethanol content in the mobile phase for the optimization step. Experimental runs were selected randomly, and a total of 15 experiments were conducted. Response parameters for each HPLC chromatogram were calculated, evaluated using regression analysis, and the accuracy of the results was tested using ANOVA.The Derringer desirable function was utilized to optimize the conditions. Accordingly, the optimal conditions determined were a mobile phase pH of 4.0, with a 1.3 mL/min flow rate and an ethanol content in the mobile phase of 25%.

Results: The developed new green method offers an environmentally friendly, sensitive, and reliable alternative as lidocaine is determined using a high-performance liquid chromatography technique.

Conclusion: The developed and validated green HPLC method can be proposed as an alternative to the conventional HPLC methods reported by the USP and other sources, which are not environmentally or human health-friendly, for the analysis of lidocaine in pharmaceutical preparations. The use of ethanol instead of potentially toxic organic solvents minimizes harm to both the environment and analyst health. Additionally, the method offers advantages such as reduced analysis time, solvent and time savings, and the absence of labor-intensive sample and solvent preparation steps, making it an attractive option. It is considered that the developed method could be particularly useful in the pharmaceutical industry, especially in quality control laboratories where rapid and high-throughput analyses are conducted, as well as in R&D studies.

Highlights: A green and sustainable HPLC method for lidocaine analysis was developed and validated. Chromatographic optimization was achieved using Design of Experiments and Derringer Desirability Function. The method showed high accuracy, precision, and suitability for routine analysis of injectable formulations. White Analytical Chemistry evaluation was performed using RGB12, AES, GAPI, and AGREE metrics. The developed method offers reduced analysis time, reagent consumption, resource use, and cost compared to reported RP-HPLC methods in the literature.

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