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化学计量学工具通过固相微萃取和液相色谱二极管阵列检测改进了河流和废水中抗炎和抗癫痫药物的测定。

Chemometric tools improving the determination of anti-inflammatory and antiepileptic drugs in river and wastewater by solid-phase microextraction and liquid chromatography diode array detection.

作者信息

Gil García M D, Cañada Cañada F, Culzoni M J, Vera-Candioti L, Siano G G, Goicoechea H C, Martínez Galera M

机构信息

Departamento de Hidrogeología y Química Analítica, Facultad de Ciencias Experimentales, Universidad de Almería, La Cañada de San Urbano, 04120, Almería, Spain.

出版信息

J Chromatogr A. 2009 Jul 17;1216(29):5489-96. doi: 10.1016/j.chroma.2009.05.073. Epub 2009 Jun 2.

Abstract

An analytical method for the simultaneous determination of seven non-steroidal anti-inflammatory drugs (naproxen, ketoprofen, diclofenac, piroxicam, indomethacin, sulindac and diflunisal) and the anticonvulsant carbamazepine in river and wastewater is reported. The method involves pre-concentration and clean-up by solid-phase microextraction using polydimethylsiloxane/divinylbenzene fibers, followed by liquid chromatography with diode array detection analysis. Owing to the fact that river water samples did not contain interferences and no sensitivity changes due to sample matrix were observed, external calibration was implemented. Standardization was also applied in order to carry out the prediction step by preparing only two diluted standards that were subjected to the pre-concentration step and a set of standards prepared in solvent. For the analysis of wastewater samples, in contrast, it was necessary to implement standard addition calibration in combination with the multivariate curve resolution-alternating least squares (MCR-ALS) algorithm, which allowed us to overcome matrix effect and exploit the second order advantage. Recoveries ranging from 72% to 125% for all pharmaceuticals proved the accuracy of the proposed method in river water samples. On the other hand, wastewater sample recoveries ranged from 83% to 140% for all pharmaceuticals, showing an acceptable performance - considering this sample contains no modeled interferences.

摘要

报道了一种同时测定河水和废水中七种非甾体抗炎药(萘普生、酮洛芬、双氯芬酸、吡罗昔康、吲哚美辛、舒林酸和二氟尼柳)以及抗惊厥药卡马西平的分析方法。该方法包括使用聚二甲基硅氧烷/二乙烯基苯纤维通过固相微萃取进行预浓缩和净化,然后进行二极管阵列检测分析的液相色谱法。由于河水样品不含干扰物,且未观察到由于样品基质导致的灵敏度变化,因此采用外标法进行校准。还进行了标准化,仅制备两份经过预浓缩步骤的稀释标准品和一组在溶剂中制备的标准品来进行预测步骤。相比之下,对于废水样品的分析,有必要采用标准加入校准法并结合多元曲线分辨-交替最小二乘法(MCR-ALS)算法,这使我们能够克服基质效应并利用二阶优势。所有药物在河水样品中的回收率在72%至125%之间,证明了所提方法在河水样品中的准确性。另一方面,所有药物在废水样品中的回收率在83%至140%之间,考虑到该样品不含模拟干扰物,则显示出可接受的性能。

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