Electrical impedance spectroscopy characterization of ZnTe thin film deposited by R-F sputtering

2019 ◽  
Vol 572 ◽  
pp. 76-80 ◽  
Author(s):  
M. Chaik ◽  
S. Ben Moumen ◽  
A. Agdad ◽  
C.M. SambaVall ◽  
H. El Aakib ◽  
...  
Keyword(s):  
Thin Film ◽  
Impedance Spectroscopy ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy

Electrical impedance spectroscopy for the characterization of skin barrier in atopic dermatitis

Allergy ◽  
2021 ◽  
Author(s):  
Arturo O. Rinaldi ◽  
Angelica Korsfeldt ◽  
Siobhan Ward ◽  
Daniel Burla ◽  
Anita Dreher ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Impedance Spectroscopy ◽  
Electrical Impedance ◽  
Skin Barrier ◽  
Electrical Impedance Spectroscopy

scholarly journals Electrical Impedance Spectroscopy for Monitoring Chemoresistance of Cancer Cells

Micromachines ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 832
Author(s):  
Lexi Crowell ◽  
Juan Yakisich ◽  
Brian Aufderheide ◽  
Tayloria Adams
Keyword(s):  
Impedance Spectroscopy ◽  
Cancer Cells ◽  
Cancer Cell ◽  
Cellular Response ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Cell Behavior ◽  
Drug Resistant ◽  
Cancerous Cells

Electrical impedance spectroscopy (EIS) is an electrokinetic method that allows for the characterization of intrinsic dielectric properties of cells. EIS has emerged in the last decade as a promising method for the characterization of cancerous cells, providing information on inductance, capacitance, and impedance of cells. The individual cell behavior can be quantified using its characteristic phase angle, amplitude, and frequency measurements obtained by fitting the input frequency-dependent cellular response to a resistor–capacitor circuit model. These electrical properties will provide important information about unique biomarkers related to the behavior of these cancerous cells, especially monitoring their chemoresistivity and sensitivity to chemotherapeutics. There are currently few methods to assess drug resistant cancer cells, and therefore it is difficult to identify and eliminate drug-resistant cancer cells found in static and metastatic tumors. Establishing techniques for the real-time monitoring of changes in cancer cell phenotypes is, therefore, important for understanding cancer cell dynamics and their plastic properties. EIS can be used to monitor these changes. In this review, we will cover the theory behind EIS, other impedance techniques, and how EIS can be used to monitor cell behavior and phenotype changes within cancerous cells.

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

2020 ◽  
Vol 10 (18) ◽  
pp. 6576
Author(s):  
Manuel Vázquez-Nambo ◽  
José-Antonio Gutiérrez-Gnecchi ◽  
Enrique Reyes-Archundia ◽  
Wuqiang Yang ◽  
Marco-A. Rodriguez-Frias ◽  
...  
Keyword(s):  
System Identification ◽  
Electrical Properties ◽  
Impedance Spectroscopy ◽  
Electrical Impedance ◽  
Wide Frequency Range ◽  
Electrical Impedance Spectroscopy ◽  
Frequency Range ◽  
Pharmaceutical Materials ◽  
Identification Techniques

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.

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