Linear relationship between cytoplasm resistance and hemoglobin in red blood cell hemolysis by electrical impedance spectroscopy & eight-parameter equivalent circuit

2018 ◽  
Vol 119 ◽  
pp. 103-109 ◽  
Author(s):  
A. Kiet Tran ◽  
Achyut Sapkota ◽  
Jianming Wen ◽  
Jianping Li ◽  
Masahiro Takei
Keyword(s):  
Impedance Spectroscopy ◽  
Blood Cell ◽  
Linear Relationship ◽  
Equivalent Circuit ◽  
Red Blood Cell ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy

Monitoring of segmental intra- and extracellular volume changes using electrical impedance spectroscopy

1993 ◽  
Vol 74 (5) ◽  
pp. 2180-2187 ◽  
Author(s):  
D. C. Sasser ◽  
W. A. Gerth ◽  
Y. C. Wu
Keyword(s):  
Impedance Spectroscopy ◽  
Cell Volume ◽  
Equivalent Circuit ◽  
Electrical Impedance ◽  
Bioelectrical Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Volume Changes ◽  
Average Cell ◽  
Fluid Shifts ◽  
Concentration Changes

Osmotically induced cellular volume changes in the perfused rat hindlimb were used to validate the use of bioelectrical impedance spectroscopy as a method for observing fluid shifts between the intracellular and extracellular spaces. Electrical impedance spectra were measured as cell volumes were manipulated by perfusion with Krebs-Henseleit solutions having different concentrations of NaCl. A simple equivalent circuit model of current conduction through the monitored tissue was fit to each measured spectrum to obtain segmental values of the equivalent intracellular resistance, membrane capacitance, and extracellular resistance. These parameters are theoretically governed by variations in the average cell volume fraction and ionic concentrations in the intra- and extracellular fluid spaces. In accord with this theoretical dependence, the parameters changed systematically and reversibly in conformance with both the magnitudes and directions of the perfusate concentration changes and the resultant cell volume changes. Results indicate that bioelectrical impedance spectroscopy, coupled with computer-aided equivalent circuit analysis, can be used to monitor segmental intercompartmental fluid shifts at minute-by-minute resolution.

scholarly journals Quantitative Evaluation of Burn Injuries Based on Electrical Impedance Spectroscopy of Blood with a Seven-Parameter Equivalent Circuit

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1496
Author(s):  
Huilu Bao ◽  
Jianping Li ◽  
Jianming Wen ◽  
Li Cheng ◽  
Yili Hu ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Red Blood Cells ◽  
Equivalent Circuit ◽  
Correlation Coefficient ◽  
Blood Cells ◽  
Electrical Impedance ◽  
Burn Injury ◽  
Electrical Impedance Spectroscopy ◽  
Impedance Characteristics ◽  
The Relationship

A quantitative and rapid burn injury detection method has been proposed based on the electrical impedance spectroscopy (EIS) of blood with a seven-parameter equivalent circuit. The degree of burn injury is estimated from the electrical impedance characteristics of blood with different volume proportions of red blood cells (RBCs) and heated red blood cells (HRBCs). A quantitative relationship between the volume portion HHCT of HRBCs and the electrical impedance characteristics of blood has been demonstrated. A seven -parameter equivalent circuit is employed to quantify the relationship from the perspective of electricity. Additionally, the traditional Hanai equation has been modified to verify the experimental results. Results show that the imaginary part of impedance ZImt under the characteristic frequency (fc) has a linear relationship with HHCT which could be described by ZImt = −2.56HHCT − 2.01 with a correlation coefficient of 0.96. Moreover, the relationship between the plasma resistance Rp and HHCT is obtained as Rp = −7.2HHCT + 3.91 with a correlation coefficient of 0.96 from the seven -parameter equivalent circuit. This study shows the feasibility of EIS in the quantitative detection of burn injury by the quantitative parameters ZImt and Rp, which might be meaningful for the follow-up clinical treatment for burn injury.

scholarly journals Towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kian Kadan-Jamal ◽  
Aakash Jog ◽  
Marios Sophocleous ◽  
Julius Georgiou ◽  
Adi Avni ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Equivalent Circuit ◽  
Cell Lines ◽  
Electrical Impedance ◽  
Equivalent Circuit Model ◽  
Plant Cells ◽  
Circuit Model ◽  
Electrical Impedance Spectroscopy ◽  
Impedance Spectra

AbstractAn improved approach for comparative study of plant cells for long term and continuous monitoring using electrical impedance spectroscopy is demonstrated for tomato and tobacco plant cells (MSK8 and BY2) in suspensions. This approach is based on the locations and magnitudes of defining features in the impedance spectra of the recently reported unified equivalent circuit model. The ultra-wide range (4 Hz to 20 GHz) impedance spectra of the cell lines were measured using custom probes, and were analyzed using the unified equivalent circuit model, highlighting significant negative phase peaks in the ~ 1 kHz to ~ 10 MHz range. These peaks differ between the tomato and tobacco cells, and since they can be easily defined, they can potentially be used as the signal for differentiating between different cell cultures or monitoring them over time. These findings were further analysed, showing that ratios relating the resistances of the media and the resistance of the cells define the sensitivity of the method, thus affecting its selectivity. It was further shown that cell agglomeration is also an important factor in the impedance modeling in addition to the overall cell concentration. These results can be used for optimizing and calibrating electrical impedance spectroscopy-based sensors for long term monitoring of cell lines in suspension for a given specific cell and media types.

A Rapid Approach to Measure Extracted Chlorophyll-a from Lettuce Leaves using Electrical Impedance Spectroscopy

2021 ◽  
Vol 232 (2) ◽  
Author(s):  
Rakibul Islam Chowdhury ◽  
Rinku Basak ◽  
Khan Arif Wahid ◽  
Katy Nugent ◽  
Helen Baulch
Keyword(s):  
Impedance Spectroscopy ◽  
Chlorophyll A ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy

scholarly journals Study of Reduced Graphene Oxide Dispersions via Electrical Impedance Spectroscopy

2020 ◽  
Vol 28 ◽  
pp. 1679-1685
Author(s):  
Angeliki-Eirini Dimou ◽  
Ioanna Sakellariou ◽  
George M. Maistros ◽  
Nikolaos D. Alexopoulos
Keyword(s):  
Graphene Oxide ◽  
Impedance Spectroscopy ◽  
Reduced Graphene Oxide ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Reduced Graphene

scholarly journals Utilization of Electrical Impedance Spectroscopy and Image Classification for Non-Invasive Early Assessment of Meat Freshness

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1001
Author(s):  
Sooin Huh ◽  
Hye-Jin Kim ◽  
Seungah Lee ◽  
Jinwoo Cho ◽  
Aera Jang ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Prediction Accuracy ◽  
Electrical Impedance ◽  
Thiobarbituric Acid ◽  
Electrical Impedance Spectroscopy ◽  
Plate Count ◽  
Gradient Boosting ◽  
Composition Analysis ◽  
Early Assessment ◽  
Relative Standard

This study presents a system for assessing the freshness of meat with electrical impedance spectroscopy (EIS) in the frequency range of 125 Hz to 128 kHz combined with an image classifier for non-destructive and low-cost applications. The freshness standard is established by measuring the aerobic plate count (APC), 2-thiobarbituric acid reactive substances (TBARS), and composition analysis (crude fat, crude protein, and moisture) values of the microbiological detection to represent the correlation between EIS and meat freshness. The EIS and images of meat are combined to predict the freshness with the Adaboost classification and gradient boosting regression algorithms. As a result, when the elapsed time of beef storage for 48 h is classified into three classes, the time prediction accuracy is up to 85% compared to prediction accuracy of 56.7% when only images are used without EIS information. Significantly, the relative standard deviation (RSD) of APC and TBARS value predictions with EIS and images datum achieves 0.890 and 0.678, respectively.

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