Experimental Study of Electrical Properties of Pharmaceutical Materials by Electrical Impedance Spectroscopy

被引:9
|
作者
Vazquez-Nambo, Manuel [1 ]
Gutierrez-Gnecchi, Jose-Antonio [1 ]
Reyes-Archundia, Enrique [1 ]
Yang, Wuqiang [2 ]
Rodriguez-Frias, Marco-A [2 ]
Olivares-Rojas, Juan-Carlos [1 ]
Lorias-Espinoza, Daniel [3 ]
机构
[1] Tecnol Nacl Mexico, Div Estudios Posgrad & Invest, Inst Tecnol Morelia, Ave Tecnol 1500, Morelia 58120, Michoacan, Mexico
[2] Univ Manchester, Dept Elect & Elect Engn, Manchester M13 9PL, Lancs, England
[3] CINVESTAV IPN, Av Inst Politecn Nacl 2508, Mexico City 07360, DF, Mexico
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 18期
关键词
drug modelling; frequency response; electrical impedance spectroscopy; system identification; DIELECTRIC-PROPERTIES; FREQUENCY DISPERSION; BIOLOGICAL TISSUES; SULFAMETHOXAZOLE; ELECTRODES; MODELS;
D O I
10.3390/app10186576
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The physicochemical characterization of pharmaceutical materials is essential for drug discovery, development and evaluation, and for understanding and predicting their interaction with physiological systems. Amongst many measurement techniques for spectroscopic characterization of pharmaceutical materials, Electrical Impedance Spectroscopy (EIS) is powerful as it can be used to model the electrical properties of pure substances and compounds in correlation with specific chemical composition. In particular, the accurate measurement of specific properties of drugs is important for evaluating physiological interaction. The electrochemical modelling of compounds is usually carried out using spectral impedance data over a wide frequency range, to fit a predetermined model of an equivalent electrochemical cell. This paper presents experimental results by EIS analysis of four drug formulations (trimethoprim/sulfamethoxazole C14H18N4O3-C10H11N3O3, ambroxol C13H18Br2N2O.HCl, metamizole sodium C13H16N3NaO4S, and ranitidine C13H22N4O3S.HCl). A wide frequency range from 20 Hz to 30 MHz is used to evaluate system identification techniques using EIS data and to obtain process models. The results suggest that arrays of linear R-C models derived using system identification techniques in the frequency domain can be used to identify different compounds.
引用
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页数:19
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