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Experimental Study of Electrical Properties of Pharmaceutical Materials by Electrical Impedance Spectroscopy.
- Source :
- Applied Sciences (2076-3417); Sep2020, Vol. 10 Issue 18, p6576, 19p
- Publication Year :
- 2020
-
Abstract
- 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 C<subscript>14</subscript>H<subscript>18</subscript>N<subscript>4</subscript>O<subscript>3</subscript>-C<subscript>10</subscript>H<subscript>11</subscript>N<subscript>3</subscript>O<subscript>3</subscript>, ambroxol C<subscript>13</subscript>H<subscript>18</subscript>Br<subscript>2</subscript>N<subscript>2</subscript>O.HCl, metamizole sodium C<subscript>13</subscript>H<subscript>16</subscript>N<subscript>3</subscript>NaO<subscript>4</subscript>S, and ranitidine C<subscript>13</subscript>H<subscript>22</subscript>N<subscript>4</subscript>O<subscript>3</subscript>S.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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 10
- Issue :
- 18
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 146549786
- Full Text :
- https://doi.org/10.3390/app10186576