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Spectrophotometric and Multivariate Calibration Techniques for Simultaneous Determination of Different Drugs in Pharmaceutical Formulations and Human Urine: Evaluation of Greenness Profile

机译:分光光度法和多变量校准技术,用于同时测定药物制剂中不同药物和人类尿液:绿色谱评价

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Eco-friendly, rapid, and cost-effective two spectrophotometric methods were developed and validated for the determination of atenolol, paracetamol, hydrochlorothiazide, and levofloxacin. The first method is the newly developed extended derivative ratio (EDR) and the second method is multivariate curve resolution—alternating least squares (MCR-ALS). In the EDR method, the extended derivative ratio amplitudes at 281.6, 237.6, 279.2, and 282.8?nm were used for quantification of atenolol, paracetamol, hydrochlorothiazide, and levofloxacin, respectively. In the MCR-ALS method, calibration model was developed and correlation constraint was employed. External validation data set composed of seven mixtures was used, and different figures of merits such as root mean square error of prediction, standard error of prediction, bias, and relative error of prediction were calculated, and satisfactory results were obtained. Both methods provided comparable results. The methods were validated and applied for the determination of the target analytes in dosage forms, spiked and real human urine. Thereafter, the obtained results were statistically compared to the published methods and revealed no significant difference regarding accuracy and precision. Furthermore, the greenness profile of the methods was evaluated using the National Environmental Methods Index “NEMI” and Analytical Eco-Scale. The developed methods can be used as a valid eco-friendly and simple cost-effective alternative to the commonly used chromatographic methods for the routine analysis of the studied drugs in dosage forms and human urine.
机译:开发并验证了生态友好,快速,经济高效的两种分光光度法,用于测定阿谷醇,扑热息痛,氢氯噻嗪和左氧氟沙星的测定。第一种方法是新开发的扩展衍生比(EDR),第二种方法是多变量曲线分辨率 - 交替的最小二乘(MCR-ALS)。在EDR方法中,281.6,237.6,279.2和282.8μm的延长衍生物比幅度分别用于定量阿谷醇,扑热息痛,盐酸氮杂化和左氧氟沙星。在MCR-ALS方法中,开发了校准模型,采用相关约束。使用由七个混合物组成的外部验证数据集,并计算了预测,预测的标准误差,预测的标准误差,预测的标准误差等不同的优点图,获得了令人满意的结果。两种方法都提供了可比的结果。该方法验证并施用于测定剂型,尖刺和真尿液中的靶分析物。此后,将获得的结果与已发表的方法进行统计学比较,并揭示了关于精度和精度的显着差异。此外,使用国家环境方法指数“NEMI”和分析生态规模评估方法的绿色谱。开发的方法可用作有效的生态友好和简单的经济高效的替代方案,用于常用的色谱方法,用于常规使用的色谱方法,用于剂型和人类尿液中研究的药物的常规分析。

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