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首页> 外文期刊>The Journal of automatic chemistry >Simultaneous Determination of Drugs Affecting Central Nervous System (CNS) in Bulk and Pharmaceutical Formulations Using Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS)
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Simultaneous Determination of Drugs Affecting Central Nervous System (CNS) in Bulk and Pharmaceutical Formulations Using Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS)

机译：使用多曲线曲线分辨率 - 交替最小二乘（MCR-ALS）同时测定影响中枢神经系统（CNS）的药物和药物制剂中的药物

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The quality of medications is important to maintain the overall health care of patients. This study aims to develop and validate a spectrophotometric method using multivariate curve resolution-alternating least squares (MCR-ALS) with correlation constraint for simultaneous resolution and quantification of selected drugs affecting the central nervous system (imipramine, carbamazepine, chlorpromazine, haloperidol, and phenytoin) in different pharmaceutical dosage forms. Figures of merit such as root-mean-square error of prediction, bias, standard error of prediction, and relative error of prediction for the developed method were calculated. High values of correlation coefficients ranged between 0.9993 and 0.9998 reflected high predictive ability of the developed method. The results are linear in the concentration range of 0.3–5? μ g/mL for carbamazepine, 0.3–15? μ g/mL for chlorpromazine, 0.5–10? μ g/mL for haloperidol, 0.5–10? μ g/mL for imipramine, and 3–20? μ g/mL for phenytoin. The optimized method was successfully applied for the analysis of the studied drugs in their pharmaceutical products without any separation step. The optimized method was also compared with a reported HPLC method using Student's t test and F ratio at 95% confidence level, and the results showed no significant difference regarding accuracy and precision. The proposed chemometric method is fast, reliable, and cost-effective and can be used as an eco-friendly alternative to chromatographic techniques for the analysis of the studied drugs in commercial pharmaceutical products.
机译：药物的质量是保持患者的整体医疗保健的重要性。本研究旨在使用多元曲线分辨率 - 交替的最小二乘（MCR-ALS）具有相关约束的分光光度法，用于同时分辨和定量影响中枢神经系统的选定药物（Inapramine，Carbamazepine，Chlorpromazine，Haloperidol和Phenytoin ）以不同的药物剂型。计算了诸如预测，偏置，预测标准误差的根均方误差等优点，以及开发方法预测的相对误差。相关系数的高值范围在0.9993和0.9998之间，反映了开发方法的高预测能力。结果在0.3-5的浓度范围内是线性的？用于卡巴马嗪的μg/ ml，0.3-15？氯丙嗪μg/ ml，0.5-10？氟丙酮醇μg/ ml，0.5-10？ Imipramine的μg/ ml和3-20？母毒素μg/ ml。优化的方法已成功应用于在其药物产品中分析研究的药物，而无需任何分离步骤。还将优化方法与报告的HPLC方法进行比较，使用学生的T检验和95％置信水平的F比率，结果表明，关于精度和精度没有显着差异。所提出的化学计量方法是快速，可靠的，并且具有成本效益，可用作对商业药品中研究药物分析的基谱技术的生态友好替代品。

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