Potentiometric Sensor Arrays for the Individual Determination of Penicillin Class Antibiotics Using Artificial Neural Networks

被引：13
|
作者：
Kulapina, E. G. [1 ]
Snesarev, S. V. [1 ]
Makarova, N. M. [1 ]
Pogorelova, E. S. [1 ]
机构：
[1] Saratov NG Chernyshevskii State Univ, Inst Chem, Saratov 410012, Russia
来源：
JOURNAL OF ANALYTICAL CHEMISTRY | 2011年 / 66卷 / 01期
关键词：
potentiometric sensors; penicillin class antibiotics; multisensor systems; artificial neural networks; ION-SELECTIVE ELECTRODES; BETA-LACTAM ANTIBIOTICS; SEPARATE DETERMINATION; SODIUM;
D O I：
10.1134/S1061934811010084
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Arrays of potentiometric sensors with plasticized polymer membranes based on tetraalkylammonium organic ion exchanges with anions of penicillin class antibiotics (benzylpenicillin, ampicillin, oxacillin, and amoxicillin) have been proposed for the individual determination of antibiotics in model mixtures and pharmaceutical preparations. The following cross-sensitivity parameters of sensors have been estimated: the average slope of the electrode function (54 < S-av < 61), the nonselectivity factor (2.8 < F < 74.6), and the reproducibility factor (31.9 < K < 61.2). Artificial neural networks have been applied to the treatment of analytical signals from the multisensor system in the concentration range 2.5 x 10(-4)-1 x 10(-1) M. The average error of the individual determination of penicillin class antibiotics is 5-7%.
引用
收藏
页码：78 / 83
页数：6
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