人尿中普通感冒感染药物的化学计量学测定

IF 3.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL Reviews in Analytical Chemistry Pub Date : 2022-01-01 DOI:10.1515/revac-2022-0040
G. Ertokus
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引用次数: 0

摘要

摘要本文研究了用分光光度法鉴别人尿样品中乙酰水杨酸(ASA)、扑热息痛(PCM)和咖啡因(CAF)(普通感冒感染药物)的方法。对于ASA、PCM和CAF,人类尿液样本的化学计量分析已被证明是成功的。采用多元校正方法(主成分回归[PCR]和偏最小二乘回归)对普通感冒感染药物进行分光光度分析。为了在不进行预先分离的情况下同时预测普通感冒感染药物的配制混合物和人尿样品,提出了两种分光光度-化学测定方法。第一阶段用普通感冒感染药物配制合成混合物,用分光光度法测定吸光度值。第二阶段计算人体尿液样本中普通感冒感染药物的含量。每种药物的校准曲线在合成混合物的浓度范围内呈线性关系。对两种方法进行了准确性和重复性检验,并计算了高回收率和低标准偏差。预测残差、观测限、检出限和%回收率分别为0.00029、0.096和0.290;0.0069, 0.086, 0.260;0.0077、0.094和0.285;主成分回归方法的PCM、ASA和CAF分别为0.0049、0.066和0.199;0.0059, 0.066, 0.199;0.0065、0.069和0.210。采用化学计量学方法得到的结果快速、简便、一致。所提出的方法非常敏感和精确,因此已被有效地用于检测人类尿液样本中的活性化学物质(ASA, PCM和CAF)。
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Chemometric determination of common cold infection drugs in human urine
Abstract In this work, spectrophotometric identification of acetylsalicylic acid (ASA), paracetamol (PCM), and caffeine (CAF) (common cold infection drugs) in human urine samples was investigated. For ASA, PCM, and CAF, chemometric analysis of human urine samples has proved successful. Spectrophotometric analysis of common cold infection drugs was performed using multivariate calibration methods (principal component regression [PCR] and partial least-squares regression). For the simultaneous prediction of common cold infection drugs in prepared mixes and human urine samples without prior separation, two spectrophotometric-chemometric approaches were proposed. The synthetic mixes were made with common cold infection drugs in the first stage, and the absorbance values were obtained using spectrophotometry. The quantities of common cold infection drugs in the human urine sample were calculated in the second stage. The calibration curves for each medication are linear in the concentration range of the synthetic mixes. The two methods were tested for accuracy and repeatability, and high recoveries and low standard deviations were calculated. sum of prediction residual errors, observation limit, and detection limit, and % recovery values, which are the analytical properties of the proposed methods, were 0.00029, 0.096, and 0.290, respectively; 0.0069, 0.086, and 0.260; 0.0077, 0.094, and 0.285; 0.0049, 0.066, and 0.199 for PCM, ASA, and CAF for the principal component regression method, respectively; 0.0059, 0.066, and 0.199; 0.0065, 0.069, and 0.210. The results produced using the employed chemometric methods are quick, easy, and consistent. The proposed methods are extremely sensitive and precise and have thus been effectively employed to detect active chemicals (ASA, PCM, and CAF) in human urine samples.
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来源期刊
Reviews in Analytical Chemistry
Reviews in Analytical Chemistry 化学-分析化学
CiteScore
7.50
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Reviews in Analytical Chemistry publishes authoritative reviews by leading experts in the dynamic field of chemical analysis. The subjects can encompass all branches of modern analytical chemistry such as spectroscopy, chromatography, mass spectrometry, electrochemistry and trace analysis and their applications to areas such as environmental control, pharmaceutical industry, automation and other relevant areas. Review articles bring the expert up to date in a concise manner and provide researchers an overview of new techniques and methods.
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