首页> 外文期刊>Journal of Analytical Methods in Chemistry >Simultaneous Determination of Over-the-Counter Pain Relievers in Commercial Pharmaceutical Products Utilizing Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) Multivariate Calibration Model
【24h】

Simultaneous Determination of Over-the-Counter Pain Relievers in Commercial Pharmaceutical Products Utilizing Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) Multivariate Calibration Model

机译:利用多变量曲线分辨率 - 交替的商业药物产品在商业药物产品中同时测定商业药物产品中的影响最小二乘法(MCR-ALS)多变量校准模型

获取原文
           

摘要

The quality of over-the-counter (OTC) pain relievers is important to ensure the safety of the marketed products in order to maintain the overall health care of patients. In this study, the multivariate curve resolution-alternating least squares (MCR-ALS) chemometric method was developed and validated for the resolution and quantification of the most commonly consumed OTC pain relievers (acetaminophen, acetylsalicylic acid, ibuprofen, naproxen, and caffeine) in commercial drug formulations. The analytical performance of the developed chemometric methods such as root mean square error of prediction, bias, standard error of prediction, relative error of prediction, and coefficients of determination was calculated for the developed model. The obtained results are linear with concentration in the range of 0.5–7?μg/mL for acetaminophen and 0.5–3.5 and 0.5–3?μg/mL for naproxen and caffeine, respectively, while the linearity ranges for acetyl salicylic acid and ibuprofen were 1–15?μg/mL. High values of coefficients of determination ≥0.9995 reflected high predictive ability of the developed model. Good recoveries ranging from 98.0% to 99.7% were obtained for all analytes with relative standard deviations (RSDs) not higher than 1.62%. The optimized method was successfully applied for the analysis of the studied drugs either in their single or coformulated pharmaceutical products without any separation step. The optimized method was also compared with a reported HPLC method using paired t-test and F-ratio at 95% confidence level, and the results showed no significant difference regarding accuracy and precision. The developed method is eco-friendly, simple, fast, and amenable for routine analysis. It could be used as a cost-effective alternative to chromatographic techniques for the analysis of the studied drugs in commercial formulations.
机译:柜台过度(OTC)止痛药的质量对于确保市场产品的安全性是重要的,以维持患者的整体医疗保健。在该研究中,开发和验证多变量曲线分辨率 - 交替的最小二乘(MCR-ALS)化学计量方法,用于分辨率和定量最常用的OTC疼痛REVERERS(对乙酰氨基酚,乙酰胱氨酸,布洛芬,萘普生和咖啡因)的分辨率和定量商业药物配方。为开发模型计算了开发的化学计量方法的分析性能,例如预测,预测,预测的预测标准误差,相对误差和确定系数。得到的结果分别是浓度为0.5-7Ω·μg/ ml的乙酰氨基酚的浓度为0.5-3.5和0.5-3Ω,分别用于萘普生和咖啡因,而乙酰氨基甲酸和布洛芬的线性范围1-15?μg/ ml。测定系数的高值≥0.9995反映了开发模型的高预测能力。对于所有具有相对标准偏差(RSD)的分析物不高于1.62%,获得了98.0%至99.7%的良好回收率。优化的方法在没有任何分离步骤的情况下成功地应用于学习药物的分析。还将优化方法与使用成对的T检验和F比率的报告的HPLC方法进行比较,并且在95%置信水平下,结果表明,关于精度和精度没有显着差异。开发方法是环保,简单,快速,适用于常规分析。它可以用作用于分析商业配方中研究药物的色谱技术的经济有效替代。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号