Defect Characterization in Gel Phantom Using Ac Impedance Spectroscopy

Article Preview

Abstract:

Gel phantoms are useful materials for medical diagnostics and impact testing. The gel phantoms can be tailored to suit various tissues from the bulk, microscopic and molecular components. These components have responses under an AC electric field. In this work, a gel phantom was prepared using a commercially-available gel powder. Cylindrical samples with varying degrees of defects were cut from the prepared gel phantom and tested using an AC impedance analyzer. The defects were created by piercing a needle along the center plane of the sample and the degree of defects was varied by increasing the number of piercings in the sample. The conductivity of the sample at lower frequencies was influenced by the mechanism involved in water leakage due to piercing while the conductivity at higher frequencies was dominantly affected by space charge relaxation and structural conductivity barriers. The Nyquist plots obtained were seen to exhibit modified Randles-type behavior. Equivalent circuit fittings showed the parameters to be distinct with varying degrees of defects.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

63-68

Citation:

Online since:

September 2022

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2022 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] R.G. Jones, J. Kahovec, R. Stepto, E.S. Wilks, M. Hess, T. Kitayama, W.V. Metanomski, IUPAC. Compendium of Polymer Terminology and Nomenclature, IUPAC Recommendations 2008 (the Purple Book,). RSC Publishing, Cambridge, UK, (2008).

DOI: 10.1039/9781847559425-fp009

Google Scholar

[2] S. Slomkowski, J.V. Alemán, R.G. Gilbert, M. Hess, K. Horie, R.G. Jones, et al., Terminology of polymers and polymerization processes in dispersed systems (IUPAC Recommendations 2011), Pure and Applied Chemistry 83-12 (2011) 2229–2259.

DOI: 10.1351/pac-rec-10-06-03

Google Scholar

[3] M. Suga, MRI: Quantitative Evaluation of Diseased Tissue by Viscoelastic Imaging Systems. In: Hashizume M. (eds) Multidisciplinary Computational Anatomy. Springer, Singapore, (2022).

DOI: 10.1007/978-981-16-4325-5_39

Google Scholar

[4] P. Chen, A.M.A.O. Pollet, A. Panfilova, M. Zhou, S. Turco, J.M.J. den Toonder, M. Mischi, Acoustic characterization of tissue-mimicking materials for ultrasound perfusion imaging research, Ultrasound in Medicine & Biology 48-1 (2022) 124-142.

DOI: 10.1016/j.ultrasmedbio.2021.09.004

Google Scholar

[5] A.V. Khilov, V.A. Shishkova, E.A. Sergeeva, D.A. Kurakina and M.Yu. Kirillin, Agar phantoms of biological tissue for fluorescence monitoring of photodynamic therapy, Kvantovaya Elektronika and IOP Publishing Ltd Quantum Electronics 52-1 (2022) 63.

DOI: 10.1070/qel17967

Google Scholar

[6] Z.A. Nezhad, G. Geraily, A review study on application of gel dosimeters in low energy radiation dosimetry, Applied Radiation and Isotopes 179 (2022) 110015.

DOI: 10.1016/j.apradiso.2021.110015

Google Scholar

[7] B. Kent, C. Rossa, Development of a tissue discrimination electrode embedded surgical needle using vibro-tactile feedback derived from electric impedance spectroscopy, Med Biol Eng Comput. 60 (2022) 19–31.

DOI: 10.1007/s11517-021-02454-3

Google Scholar

[8] M. Rizwan, G.S.L. Peh, H.P. Ang, N.C. Lwin, K. Adnan, J.S. Mehta, W.S. Tan, E.K.F. Yim, Sequentially-crosslinked bioactive hydrogels as nano-patterned substrates with customizable stiffness and degradation for corneal tissue engineering applications, Biomaterials 120 (2017) 139–54.

DOI: 10.1016/j.biomaterials.2016.12.026

Google Scholar

[9] I. Eunji, N. Hani, H. Masoom, Mechanical stability analysis of carrageenan-based polymer gel for magnetic resonance imaging liver phantom with lesion particles, J Med Imaging (Bellingham) 1-3 (2014) 035502.

DOI: 10.1117/1.jmi.1.3.035502

Google Scholar

[10] J. Depoorter, C. Dewagter, Y. Dedeene, C. Thomsen, F. Stahlberg, E. Achten, The Proton-Resonance-Frequency-Shift Method Compared with Molecular Diffusion for Quantitative Measurement of Two-Dimensional Time-Dependent Temperature Distribution in a Phantom, Journal of Magnetic Resonance, Series B 103-3 (1994) 234-241.

DOI: 10.1006/jmrb.1994.1035

Google Scholar

[11] M. Bertasa, A. Dodero, M. Alloisio, S. Vicini, C. Riedo, A. Sansonetti, D. Scalarone, M. Castellano, Agar gel strength: A correlation study between chemical composition and rheological properties, European Polymer Journal 123 (2020) 109442.

DOI: 10.1016/j.eurpolymj.2019.109442

Google Scholar

[12] J. Jussila, Preparing ballistic gelatine—review and proposal for a standard method, Forensic Science International 141-2,3 (2004) 91–98.

DOI: 10.1016/j.forsciint.2003.11.036

Google Scholar

[13] R. Wang, Y. Wang, K. Lassiter, Y. Li, B. Hargis, S. Tung, L. Berghman, W. Bottje, Interdigitated array microelectrode based impedance immunosensor for detection of avian influenza virus H5N1, Talanta 79 (2009) 159-64.

DOI: 10.1016/j.talanta.2009.03.017

Google Scholar

[14] C. Ruan, L. Yang, Y. Li, Immunobiosensor Chips for Detection of Escherichia coli O157:H7 Using Electrochemical Impedance Spectroscopy. Analytical Chemistry 74 (2002) 4814-4820.

DOI: 10.1021/ac025647b

Google Scholar

[15] T.M.W.J. Bandara, B.-E. Mellander, Evaluation of Mobility, Diffusion Coefficient and Density of Charge Carriers in Ionic Liquids and Novel Electrolytes Based on a New Model for Dielectric Response, Ionic Liquids: Theory, Properties, New Approaches, IntechOpen (2011) 383-406.

DOI: 10.5772/15183

Google Scholar

[16] A. Hunold, D. Strohmeier, P. Fiedler, J. Haueisen, Head phantoms for electroencephalography and transcranial electric stimulation: a skull material study, Biomedical Engineering / Biomedizinische Technik 63-6 (2018) 683-689.

DOI: 10.1515/bmt-2017-0069

Google Scholar