Green Analysis by Eco-Scale Assessment for Quality Control of Azithromycin Tablets

IF 0.7 4区 医学 Q4 PHARMACOLOGY & PHARMACY Current Pharmaceutical Analysis Pub Date : 2024-08-13 DOI:10.2174/0115734129306660240808104954
Aline Sinzervinch, Ana Carolina Kogawa
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Abstract

Background: Azithromycin (AZT), an antimicrobial, despite having a monograph in official compendiums and some methods available in the literature, there is still a demand for eco-efficient methods, which include green analytical chemistry. Objective: This study aimed to develop and validate a green spectrophotometric method for quantifying AZT tablets. Method: Purified water and ethanol (90:10, v/v) and sulfuric acid 20% as a diluent and reagent, respectively, quartz cubette and 482 nm were used. The Eco-Scale Assessment (ESA) tool was used to evaluate the greenness of the proposed analytical method. Results: The proposed method was linear (20-70 μg mL-1 with a correlation coefficient of 0.9984), precise (RSD < 5%), selective by sample adjuvants, exact (100.46%), and robust against changes in acid proportion and wavelength. The ESA calculation was 85 points. Conclusion: The proposed method can be classified as an excellent green alternative to quantify AZT in tablets, in accordance with ESA.
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通过生态尺度评估进行绿色分析以控制阿奇霉素片剂的质量
背景:阿奇霉素(AZT)是一种抗菌素,尽管在官方药典中有专论,文献中也有一些方法,但人们仍然需要生态高效的方法,包括绿色分析化学方法。研究目的本研究旨在开发和验证一种绿色分光光度法,用于定量检测 AZT 片剂。方法:采用纯水和乙醇(90:10, v/v)以及 20% 的硫酸分别作为稀释剂和试剂,石英立方体和 482 纳米波长。使用生态尺度评估(ESA)工具来评估拟议分析方法的绿色程度。结果表明该方法线性(20-70 μg mL-1,相关系数为 0.9984)、精密(RSD <5%)、对样品辅助剂有选择性、准确(100.46%)、对酸比例和波长的变化稳定。ESA 计算结果为 85 分。结论所提出的方法符合ESA标准,可作为片剂中AZT定量的理想绿色替代方法。
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
85
审稿时长
3 months
期刊介绍: Aims & Scope Current Pharmaceutical Analysis publishes expert reviews and original research articles on all the most recent advances in pharmaceutical and biomedical analysis. All aspects of the field are represented including drug analysis, analytical methodology and instrumentation. The journal is essential to all involved in pharmaceutical, biochemical and clinical analysis.
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