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Journal articles on the topic 'Electrical impedance spectroscopy'

To see the other types of publications on this topic, follow the link: Electrical impedance spectroscopy.

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

S, El Asri. "The Use of Electrical Impedance Spectroscopy for Medical Application: A Mini Review." Physical Science & Biophysics Journal 7, no. 1 (January 5, 2023): 1–5. http://dx.doi.org/10.23880/psbj-16000250.

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Electrical impedance spectroscopy (EIS) has emerged as a powerful technique in biophysics, enabling the analysis of biological tissues, cell behavior, and the development of biosensors. By measuring the impedance response of biological systems across a range of frequencies, EIS provides valuable insights into the electrical properties and structural characteristics of tissues and cells. This paper provides an overview of fundamental principles of EIS and the application of impedance spectroscopy in biophysic, highlighting its potential in understanding tissue properties, monitoring cell behavior, and designing biosensors for various biomedical applications.

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2

Vozáry, E., D. H. Paine, J. Kwiatkowski, and A. G. Taylor. "Prediction of soybean and snap bean seed germinability by electrical impedance spectroscopy." Seed Science and Technology 35, no. 1 (April 1, 2007): 48–64. http://dx.doi.org/10.15258/sst.2007.35.1.05.

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3

Manjunath, Manjunath, Simon Hausner, André Heine, Patrick De Baets, and Dieter Fauconnier. "Electrical Impedance Spectroscopy for Precise Film Thickness Assessment in Line Contacts." Lubricants 12, no. 2 (February 10, 2024): 51. http://dx.doi.org/10.3390/lubricants12020051.

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In this article, we focus on utilising electrical impedance spectroscopy (EIS) for the assessment of global and contact impedances in roller bearings. Our primary objective is to establish a quantitative prediction of lubricant film thickness in elasto-hydrodynamic lubrication (EHL) and investigate the impedance transition from ohmic to capacitive behaviour as the system shifts from boundary lubrication to EHL. To achieve this, we conduct measurements of electrical impedance, bearing and oil temperature, and frictional torque in a cylindrical roller thrust bearing (CRTB) subjected to pure axial loading across various rotational speeds and supply oil temperatures. The measured impedance data is analysed and translated into a quantitative measure of lubricant film thickness within the contacts using the impedance-based and capacitance-based methods. For EHL, we observe that the measured capacitance of the EHL contact deviates from the theoretical value based on a Hertzian contact shape by a factor ranging from 3 to 11, depending on rotational speed, load, and temperature. The translation of complex impedance values to film thickness, employing the impedance and capacitance method, is then compared with the analytically estimated film thickness using the Moes correlation, corrected for inlet shear heating effects. This comparison demonstrates a robust agreement within 2% for EHL film thickness measurement. Monitoring the bearing resistance and capacitance via EIS across rotational speeds clearly shows the transition from boundary to mixed lubrication as well as the transition from mixed lubrication to EHL. Finally, we have observed that monitoring the electrical impedance appears to have the potential to perform the run-in of bearings in a controlled way.

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4

Padilha Leitzke, Juliana, and Hubert Zangl. "Low-power electrical impedance tomography spectroscopy." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 5 (September 2, 2019): 1480–92. http://dx.doi.org/10.1108/compel-12-2018-0530.

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Purpose This paper aims to present an approach based on electrical impedance tomography spectroscopy (EITS) for the determination of water and ice fraction in low-power applications such as autarkic wireless sensors, which require a low computational complexity reconstruction approach and a low number of electrodes. This paper also investigates how the electrode design can affect the reconstruction results in tomography. Design/methodology/approach EITS is performed by using a non-iterative method called optimal first order approximation. In addition to that, a planar electrode geometry is used instead of the traditional circular electrode geometry. Such a structure allows the system to identify materials placed on the region above the sensor, which do not need to be confined in a pipe. For the optimization, the mean squared error (MSE) between the reference images and the obtained reconstructed images was calculated. Findings The authors demonstrate that even with a low number of four electrodes and a low complexity reconstruction algorithm, a reasonable reconstruction of water and ice fractions is possible. Furthermore, it is shown that an optimal distribution of the sensor electrodes can help to reduce the MSE without any costs in terms of computational complexity or power consumption. Originality/value This paper shows through simulations that the reconstruction of ice and water mixtures is possible and that the electrode design is a topic of great importance, as they can significantly affect the reconstruction results.

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5

McGivney, Debra, Daniela Calvetti, and Erkki Somersalo. "Quantitative imaging with electrical impedance spectroscopy." Physics in Medicine and Biology 57, no. 22 (October 18, 2012): 7289–302. http://dx.doi.org/10.1088/0031-9155/57/22/7289.

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6

Yao, Jia-Feng, Jian-Fen Wan, Lu Yang, Kai Liu, Bai Chen, and Hong-Tao Wu. "Electrical characteristics of cells with electrical impedance spectroscopy." Acta Physica Sinica 69, no. 16 (2020): 163301. http://dx.doi.org/10.7498/aps.69.20200601.

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7

Yin, Hong-Run, Ming Ye, Yang Wu, Kai Liu, Hua-Ping Pan, and Jia-Feng Yao. "Biological tissue detection based on electrical impedance spectroscopic tomograsphy." Acta Physica Sinica 71, no. 4 (2022): 048706. http://dx.doi.org/10.7498/aps.71.20211600.

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A bioimpedance spectroscopic imaging method for detecting the biological tissue based on electrical impedance tomography (EIT) and bioimpedance spectroscopy (BIS) is proposed. This method visualizes the target area and accurately recognizes the target type, which can be used for detecting the early lung cancer, assist clinicians in accurately detecting the early lung cancer, and improving the cure rate of early lung cancer. In this paper the bioimpedance spectroscopic imaging method is verified to be feasible and effective in detecting the early lung cancer through numerical simulation. The simulation results show that 1) the bioimpedance spectroscopic imaging method can realize the visualization of the early lung cancer area and accurately distinguish the type of early lung cancer, and 2) the optimal number of acquisitions of impedance spectroscopy is 4, and the best classifier is Linear-SVM, and the average classification accuracy of 5-fold cross-validation can reach 99.9%. In order to verify the simulation results, three biological tissues with different electrical characteristics are selected to simulate cancerous regions used for detection. The experimental results show that the method can visualize the biological tissue area and distinguish the type of biological tissue. This method can integrate the advantages of electrical impedance imaging and bioimpedance spectroscopy, and is very promising way of detecting early lung cancer.

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8

Chowdhury, Atanu, Tushar Kanti Bera, Dibyendu Ghoshal, and Badal Chakraborty. "Electrical Impedance Variations in Banana Ripening: An Analytical Study with Electrical Impedance Spectroscopy." Journal of Food Process Engineering 40, no. 2 (May 11, 2016): e12387. http://dx.doi.org/10.1111/jfpe.12387.

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9

Cheng, Junhui, Pengpeng Yu, Yourui Huang, Gang Zhang, Chengling Lu, and Xueping Jiang. "Application Status and Prospect of Impedance Spectroscopy in Agricultural Product Quality Detection." Agriculture 12, no. 10 (September 22, 2022): 1525. http://dx.doi.org/10.3390/agriculture12101525.

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The nondestructive testing of agricultural products has always been a key technology for the modernization of agriculture and food. By applying a sinusoidal voltage (current) excitation signal of variable frequency, the relationship between the amplitude, frequency and phase of the response signal is obtained, and the measured response function in a certain frequency range is obtained, constructing the correlation between impedance spectroscopy and matter properties. Electrical impedance spectroscopy (EIS) is a widely used method for the nondestructive characterization of agricultural products, and its applications in the agricultural field has attracted increasing attention. This paper summarizes the research of electrical impedance spectroscopy (EIS) in the detection of grain quality, fruit and vegetable quality, meat quality and food quality from 2005 to 2022. The potential and development direction of electrical impedance spectroscopy in the nondestructive testing of agricultural product quality are prospected, which provides a reference for scientific researchers who applied electrical impedance spectroscopy in agricultural product quality detection.

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10

Padilha Leitzke, Juliana, and Hubert Zangl. "A Review on Electrical Impedance Tomography Spectroscopy." Sensors 20, no. 18 (September 10, 2020): 5160. http://dx.doi.org/10.3390/s20185160.

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Electrical Impedance Tomography Spectroscopy (EITS) enables the reconstruction of material distributions inside an object based on the frequency-dependent characteristics of different substances. In this paper, we present a review of EITS focusing on physical principles of the technology, sensor geometries, existing measurement systems, reconstruction algorithms, and image representation methods. In addition, a novel imaging method is proposed which could fill some of the gaps found in the literature. As an example of an application, EITS of ice and water mixtures is used.

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11

Scandurra, Graziella, Emanuele Cardillo, Carmine Ciofi, and Luigi Ferro. "UHT Milk Characterization by Electrical Impedance Spectroscopy." Applied Sciences 12, no. 15 (July 27, 2022): 7559. http://dx.doi.org/10.3390/app12157559.

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Ultra-High Temperature (UHT) pasteurized milk is the most diffused variety of milk in Europe. In this paper, a method is presented, employing Electrical Impedance Spectroscopy to characterize the different commercial milks commonly available in grocery stores and supermarkets. The curves of the measured admittance allow for the classification of the type of milk (whole, semi-skimmed, fat-free) and to distinguish lactose-free milk. An electrical circuit model has been derived and different values of circuit parameters add interesting information on the classification of the samples. Furthermore, the characterization allows for the identification of the degradation of the milk before it is visible to the eye, thus highlighting the difference between storage in the fridge and at room temperature, and identifying expired milk.

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12

Xing Liu, Qiang Fang, Sicong Zheng, and I. Cosic. "ELECTRICAL IMPEDANCE SPECTROSCOPY INVESTIGATION ON BANANA RIPENING." Acta Horticulturae, no. 804 (December 2008): 159–66. http://dx.doi.org/10.17660/actahortic.2008.804.20.

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13

Xing Liu, Qiang Fang, Sicong Zheng, I. Cosic, and Peng Cao. "ELECTRICAL IMPEDANCE SPECTROSCOPY INVESTIGATION ON CUCUMBER DEHYDRATION." Acta Horticulturae, no. 804 (December 2008): 637–44. http://dx.doi.org/10.17660/actahortic.2008.804.93.

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14

Yoon, Kisung, Kyeong Woo Lee, Sang Beom Kim, Tai Ryoon Han, Dong Keun Jung, Mee Sook Roh, and Jong Hwa Lee. "Electrical impedance spectroscopy and diagnosis of tendinitis." Physiological Measurement 31, no. 2 (December 11, 2009): 171–82. http://dx.doi.org/10.1088/0967-3334/31/2/004.

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15

Halter, R. J., A. Hartov, J. A. Heaney, K. D. Paulsen, and A. R. Schned. "Electrical Impedance Spectroscopy of the Human Prostate." IEEE Transactions on Biomedical Engineering 54, no. 7 (July 2007): 1321–27. http://dx.doi.org/10.1109/tbme.2007.897331.

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16

Affanni, A., A. Corazza, G. Esposito, F. Fogolari, and M. Polano. "Protein Aggregation Measurement through Electrical Impedance Spectroscopy." Journal of Physics: Conference Series 459 (September 6, 2013): 012049. http://dx.doi.org/10.1088/1742-6596/459/1/012049.

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17

Jaegle, M., H. F. Pernau, M. Pfützner, M. Benkendorf, Xinke Li, M. Bartel, O. Herm, et al. "Thermal-electrical Impedance Spectroscopy for Fluid Characterisation." Procedia Engineering 168 (2016): 770–73. http://dx.doi.org/10.1016/j.proeng.2016.11.276.

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18

McEwan, Alistair, Jonathan Tapson, AndrÉ van Schaik, and David S. Holder. "Code-Division-Multiplexed Electrical Impedance Tomography Spectroscopy." IEEE Transactions on Biomedical Circuits and Systems 3, no. 5 (October 2009): 332–38. http://dx.doi.org/10.1109/tbcas.2009.2032159.

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19

Héroux, Paul, and Michel Bourdages. "Monitoring living tissues by electrical impedance spectroscopy." Annals of Biomedical Engineering 22, no. 3 (May 1994): 328–37. http://dx.doi.org/10.1007/bf02368239.

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20

Viščor, Petr, and Jan Vedde. "Electrical impedance spectroscopy of silicon surface states." Surface Science Letters 287-288 (May 1993): A399. http://dx.doi.org/10.1016/0167-2584(93)90481-w.

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21

Dean, D. A., T. Ramanathan, D. Machado, and R. Sundararajan. "Electrical impedance spectroscopy study of biological tissues." Journal of Electrostatics 66, no. 3-4 (March 2008): 165–77. http://dx.doi.org/10.1016/j.elstat.2007.11.005.

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22

Chilcott, T. C., M. Chan, L. Gaedt, T. Nantawisarakul, A. G. Fane, and H. G. L. Coster. "Electrical impedance spectroscopy characterisation of conducting membranes." Journal of Membrane Science 195, no. 2 (January 2002): 153–67. http://dx.doi.org/10.1016/s0376-7388(01)00541-5.

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23

Gaedt, L., T. C. Chilcott, M. Chan, T. Nantawisarakul, A. G. Fane, and H. G. L. Coster. "Electrical impedance spectroscopy characterisation of conducting membranes." Journal of Membrane Science 195, no. 2 (January 2002): 169–80. http://dx.doi.org/10.1016/s0376-7388(01)00542-7.

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24

Viščor, Petr, and Jan Vedde. "Electrical impedance spectroscopy of silicon surface states." Surface Science 287-288 (May 1993): 510–13. http://dx.doi.org/10.1016/0039-6028(93)90832-5.

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25

Nahvi, Manoochehr, and Brian S. Hoyle. "Electrical Impedance Spectroscopy Sensing for Industrial Processes." IEEE Sensors Journal 9, no. 12 (December 2009): 1808–16. http://dx.doi.org/10.1109/jsen.2009.2030979.

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26

Prasad, K., C. K. Suman, and R. N. P. Choudhary. "Electrical characterisation of Pb2Bi3SmTi5O18ceramic using impedance spectroscopy." Advances in Applied Ceramics 105, no. 5 (October 2006): 258–64. http://dx.doi.org/10.1179/174367606x115940.

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27

Lu, L., L. Hamzaoui, B. H. Brown, B. Rigaud, R. H. Smallwood, D. C. Barber, and J. P. Morucci. "Parametric modelling for electrical impedance spectroscopy system." Medical & Biological Engineering & Computing 34, no. 2 (March 1996): 122–26. http://dx.doi.org/10.1007/bf02520016.

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28

Braun, Ralph P., Johanna Mangana, Simone Goldinger, Lars French, Reinhard Dummer, and Ashfaq A. Marghoob. "Electrical Impedance Spectroscopy in Skin Cancer Diagnosis." Dermatologic Clinics 35, no. 4 (October 2017): 489–93. http://dx.doi.org/10.1016/j.det.2017.06.009.

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29

Olariu, Marius Andrei, Catalin Tucureanu, Tudor Alexandru Filip, Iuliana Caras, Aurora Salageanu, Valentin Vasile, Marioara Avram, Bianca Tincu, and Ina Turcan. "HT-29 Colon Cancer Cell Electromanipulation and Assessment Based on Their Electrical Properties." Micromachines 13, no. 11 (October 27, 2022): 1833. http://dx.doi.org/10.3390/mi13111833.

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This study proposes a feasible approach for the rapid, sensitive, and label-free identification of cancerous cells based on dielectrophoretic (DEP) manipulation and electrical characterization. In this method, the concentration of target cells at the level of customized microelectrodes via DEP is first determined, followed by an electrical impedance evaluation. The study demonstrates the capacity of the methodology to electrically differentiate HT-29 cancer cells from healthy blood cells based on their impedance spectra. Within a higher frequency domain, the electrical impedance of trapped cancer cells was significantly lower compared with the normal ones. In order to evaluate the functionality and reproducibility of the proposed method, the influence of the DEP and EIS (electrical impedance spectroscopy) operating voltages on the electrical characterization of trapped HT-29 cells was analyzed.

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30

Kumar, Nawnit, Sunanda Patri, and Ram Choudhary. "Frequency-temperature response of a new multiferroic." Processing and Application of Ceramics 8, no. 3 (2014): 121–25. http://dx.doi.org/10.2298/pac1403121k.

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The frequency dependence of the electrical properties of a new complex multiferroic Bi4Pb2Ti3FeNbO18 at different temperatures was investigated by impedance spectroscopy technique. The impedance spectroscopic data were collected at different frequencies (100Hz-1MHz) and temperatures (25-500?C). This study provides important information about the effect of grain and grain boundary on microstructures of the materials. The data are presented in the Nyquist plots, from which electrical resistivity is determined.

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31

He, Yu Xing, and Yong Gui Dong. "A Graphical Approach for Human Skin Moisture Evaluation by Electrical Impedance Spectroscopy." Applied Mechanics and Materials 336-338 (July 2013): 319–26. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.319.

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A pair of concentrically placed gold electrodes is utilized in contact with human skin surface for moisture evaluation. The electrical impedance spectroscopy is measured within a frequency range of 100Hz to 5MHz. It is showed that, in case of relatively dried stratum corneum, reproducibility of measured impedances will decrease significantly in lower frequency range. The integrality of impedance frequency locus is correspondingly dependent on skin moist state. On the other hand, in case of relatively wetted stratum corneum, an integral locus can be obtained and Cole-Cole arc model can be applied for quantitative calculation. The integrality of the locus is introduced as a supplemental parameter. Experimental results with moistened filter paper as well as human skin indicate that, the skin moisture can be better represented both graphically and quantitatively.

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32

de Lima, Sandro V., Helinando P. de Oliveira, and Celso P. de Melo. "Electrical impedance monitoring of protein unfolding." RSC Advances 6, no. 109 (2016): 107644–52. http://dx.doi.org/10.1039/c6ra20901g.

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33

Namin, Reyhaneh L., and Shahin J. Ashtiani. "Effect of ADC Resolution on Low-Frequency Electrical Time-Domain Impedance Spectroscopy." Metrology and Measurement Systems 24, no. 2 (June 27, 2017): 425–36. http://dx.doi.org/10.1515/mms-2017-0019.

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AbstractIn this paper, the effect of the resolution of an analogue-to-digital converter (ADC) on the accuracy of timedomain low-frequency electrical impedance spectroscopy is examined. For the first time, we demonstrated that different wideband stimuli signals used for impedance spectroscopy have different sensitivities to the resolution of ADC used in impedance spectroscopy systems. We also proposed Ramp and Half-Gaussian signals as new wideband stimulating signals for EIS. The effect of ADC resolution was studied for Sinc, Gaussian, Half-Gaussian, and Ramp excitation signals using both simulation and experiments. We found that Ramp and Half-Gaussian signals have the best performance, especially at low frequencies. Based on the results, a wideband electrical impedance spectroscopy circuit was implemented with a high accuracy at frequencies bellow 10 Hz.

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34

Tiitta, M., T. Savolainen, H. Olkkonen, and T. Kanko. "Wood Moisture Gradient Analysis by Electrical Impedance Spectroscopy." Holzforschung 53, no. 1 (January 1, 1999): 68–76. http://dx.doi.org/10.1515/hf.1999.012.

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Summary An electrical impedance frequency spectrum (20Hz to 1MHz) was measured in wood specimens with uniform, absorption and desorption transverse moisture content (MC) gradient. Parallel plate single sided capacitive and conductive electrodes were used. Capacitance, conductance and impedance locus analyses were included in the study, the desorption and absorption moisture gradients (MG) were estimated using frequency based analysis. This study suggests that the transverse MG can be estimated using impedance spectroscopy analysis. Both used electrode types and all the studied methods gave similar results which shows that frequency based analysis can be used. It was not possible to achieve very good accuracy when estimating MG using pure conductive or capacitance measurement method. The electrical distributed network circuit modelling was found to be the most promising method in estimation of transverse MG.

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35

Zhang, Nan, Mohamad Amin Halali, and Charles-François de Lannoy. "Detection of fouling on electrically conductive membranes by electrical impedance spectroscopy." Separation and Purification Technology 242 (July 2020): 116823. http://dx.doi.org/10.1016/j.seppur.2020.116823.

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36

Vázquez-Nambo, Manuel, José-Antonio Gutiérrez-Gnecchi, Enrique Reyes-Archundia, Wuqiang Yang, Marco-A. Rodriguez-Frias, Juan-Carlos Olivares-Rojas, and Daniel Lorias-Espinoza. "Experimental Study of Electrical Properties of Pharmaceutical Materials by Electrical Impedance Spectroscopy." Applied Sciences 10, no. 18 (September 21, 2020): 6576. http://dx.doi.org/10.3390/app10186576.

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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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37

Shekhar, Shubhra, and Kamlesh Prasad. "Nondestructive Evaluation of Moisture Content for Spinach Leaf Powder Using Complex Impedance Spectroscopy." Journal of the ASABE 66, no. 2 (2023): 415–21. http://dx.doi.org/10.13031/ja.14873.

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Highlights Complex impedance spectroscopy (CIS) is applied as a nondestructive tool. Impedance and capacitance approaches have been explored to predict the moisture content. The logarithmic function of impedance to capacitance predicts the moisture content precisely. Abstract. Complex impedance spectroscopy (CIS) is a powerful, nondestructive method to study the electrical properties of biomaterials. The electrical properties of spinach (Spinacia oleracea) leaf powder was used to investigate the moisture content using the nondestructive approach. Frequency-dependent relationships of impedance and capacitance with moisture content in various combinations have been explored to predict the moisture content precisely. It was found that the logarithmic function of impedance to capacitance could be used to predict the moisture content precisely in the under-investigated frequency range (1–10 MHz) with the highest accuracy, as confirmed by the found statistical support. Keywords: Complex impedance spectroscopy, Moisture estimation, Nondestructive testing, Spinach.

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38

Basak, Rinku, Khan Wahid, and Anh Dinh. "Determination of Leaf Nitrogen Concentrations Using Electrical Impedance Spectroscopy in Multiple Crops." Remote Sensing 12, no. 3 (February 8, 2020): 566. http://dx.doi.org/10.3390/rs12030566.

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In this work, crop leaf nitrogen concentration (LNC) is predicted by leaf impedance measurements made by electrical impedance spectroscopy (EIS). This method uses portable equipment and is noninvasive, as are other available nondestructive methods, such as hyperspectral imaging, near-infrared spectroscopy, and soil-plant analyses development (SPAD). An EVAL-AD5933EBZ evaluation board is used to measure the impedances of four different crop leaves, i.e., canola, wheat, soybeans, and corn, in the frequency range of 5 to 15 kHz. Multiple linear regression using the least square method is employed to obtain a correlation between leaf nitrogen concentrations and leaf impedances. A strong correlation is found between nitrogen concentrations and measured impedances for multiple features using EIS. The results are obtained by PrimaXL Data Analysis ToolPak and validated by analysis of variance (ANOVA) tests. Optimized regression models are determined by selecting features using the backward elimination method. After a comparative analysis among the four different crops, the best multiple regression results are found for canola with an overall correlation coefficient (R) of 0.99, a coefficient of determination (R2) of 0.98, and root mean square (RMSE) of 0.54% in the frequency range of 8.7–12 kHz. The performance of EIS is also compared with an available SPAD reading which is moderately correlated with LNC. A high correlation coefficient of 0.94, a coefficient of determination of 0.89, and RMSE of 1.12% are obtained using EIS, whereas a maximum correlation coefficient of 0.72, a coefficient of determination of 0.53, and RMSE of 1.52% are obtained using SPAD for the same number of combined observations. The proposed multiple linear regression models based on EIS measurements sensitive to LNC can be used on a very local scale to develop a simple, rapid, inexpensive, and effective instrument for determining the leaf nitrogen concentrations in crops.

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39

Jett, Margaret R., Mohamed Z. Rashed, Susan P. Hendricks, and Stuart J. Williams. "Electrical characterization of phytoplankton suspensions using impedance spectroscopy." Journal of Applied Phycology 33, no. 3 (February 9, 2021): 1643–50. http://dx.doi.org/10.1007/s10811-020-02363-2.

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40

Ojarand, Jaan, Mart Min, and Ants Koel. "Multichannel Electrical Impedance Spectroscopy Analyzer with Microfluidic Sensors." Sensors 19, no. 8 (April 20, 2019): 1891. http://dx.doi.org/10.3390/s19081891.

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Impedance spectroscopy is a common approach in assessing passive electrical properties of biological matter. However, several problems appear in microfluidic devices in connection with the requirement for high sensitivity of signal acquisition from small volume sensors. The developed compact and inexpensive analyzer provides impedance spectroscopy measurement from three sensors, both connected in direct and differential modes. Measurement deficiencies are reduced with a novel design of sensors, measurement method, optimized electronics, signal processing, and mechanical design of the analyzer. Proposed solutions are targeted to the creation of reliable point-of-care (POC) diagnostic and monitoring appliances, including lab-on-a-chip type devices in the next steps of development. The test results show the good working ability of the developed analyzer; however, also limitations and problems that require attention and further improvement are appointed.

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41

Nobre, Marcos A. de Lima, and Silvania Lanfredi. "Electrical characterization by impedance spectroscopy of Zn7Sb2O12 ceramic." Materials Research 6, no. 2 (June 2003): 151–56. http://dx.doi.org/10.1590/s1516-14392003000200007.

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42

Maity, Sumit Kumar, Alo Dutta, Sanjay Kumar, and T. P. Sinha. "Electrical properties of Ba2YbNbO6: an impedance spectroscopy study." Physica Scripta 88, no. 6 (November 21, 2013): 065702. http://dx.doi.org/10.1088/0031-8949/88/06/065702.

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43

Griffiths, H. "Tissue spectroscopy with electrical impedance tomography: computer simulations." IEEE Transactions on Biomedical Engineering 42, no. 9 (1995): 948–54. http://dx.doi.org/10.1109/10.412664.

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44

Kim, S. H., K. W. Lee, Cheol Eui Lee, K. S. Lee, D. H. Kim, and D. Y. Jang. "Impedance spectroscopy of distinct electrical responses in TlH2PO4." Applied Physics Letters 89, no. 10 (September 4, 2006): 102901. http://dx.doi.org/10.1063/1.2345906.

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Cen, J., M. Vukas, G. Barton, J. Kavanagh, and H. G. L. Coster. "Real time fouling monitoring with Electrical Impedance Spectroscopy." Journal of Membrane Science 484 (June 2015): 133–39. http://dx.doi.org/10.1016/j.memsci.2015.03.014.

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Prasad, K., S. Bhagat, Priyanka, K. AmarNath, K. P. Chandra, and A. R. Kulkarni. "Electrical properties of BaY0.5Nb0.5O3 ceramic: Impedance spectroscopy analysis." Physica B: Condensed Matter 405, no. 17 (September 2010): 3564–71. http://dx.doi.org/10.1016/j.physb.2010.05.041.

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Zhao, Yanlin, Mi Wang, and Robert B. Hammond. "Characterization of crystallisation processes with electrical impedance spectroscopy." Nuclear Engineering and Design 241, no. 6 (June 2011): 1938–44. http://dx.doi.org/10.1016/j.nucengdes.2011.01.001.

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Estrela da Silva, J., J. P. Marques de Sá, and J. Jossinet. "Classification of breast tissue by electrical impedance spectroscopy." Medical & Biological Engineering & Computing 38, no. 1 (January 2000): 26–30. http://dx.doi.org/10.1007/bf02344684.

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Hu, Shenggen, Philip Ofori, and Bruce Firth. "Monitoring of froth stability using electrical impedance spectroscopy." International Journal of Mineral Processing 92, no. 1-2 (July 2009): 15–21. http://dx.doi.org/10.1016/j.minpro.2009.02.009.

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Darestani, M. T., T. C. Chilcott, and H. G. L. Coster. "Electrical impedance spectroscopy study of piezoelectric PVDF membranes." Journal of Solid State Electrochemistry 18, no. 3 (November 24, 2013): 595–605. http://dx.doi.org/10.1007/s10008-013-2286-x.

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