Literature DB >> 8375873

Impedance spectroscopy of human erythrocytes: system calibration and nonlinear modeling.

J Z Bao1, C C Davis, R E Schmukler.   

Abstract

We present in detail our impedance measurement method, the cell embodding technique, for human erythrocytes, and an accurate calibration procedure for a true four-electrode impedance measurement system. This technique with the calibration procedure gives reliable impedance measurements over a wide frequency range--1 Hz to 10 MHz. To achieve high sensitivity in this frequency range, we embed the cells in the pores of a Nuclepore filter. The calibration procedure assumes that the measurement system is linear, and requires measurement of three reference impedances. The reliability of this procedure is demonstrated with various RC circuits, and application of it to the bio-impedancae measurement system eliminates a quasi-dispersion in the high-frequency range, and increases the bandwidth at both the low- and high-frequency ends of the range by about a decade. We model the impedance of the cells embedded within the filter with an equivalent circuit that is consistent with the geometry and interfaces present. The experimental data are fitted to this model by means of a complex nonlinear least squares (CNLS) fit, which simultaneously fits the real and imaginary parts of the impedance with the Levenberg-Marquardt algorithm. The impedance spectra of human erythrocytes are found to display constant-phase-angle (CPA) characteristics. A CPA element is an impedance of the form Z = A/(jw) alpha, where A is a constant, j = square root -1, omega is angular frequency, and 0 < alpha < 1, and has been used to describe the ac response of the interface between the cell surface and the external electrolyte solution. Such a CPA element may be related to fractal character of the interface.

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Year:  1993        PMID: 8375873     DOI: 10.1109/10.222329

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  12 in total

1.  Dielectric single particle spectroscopy for measurement of dispersion.

Authors:  T Schnelle; T Müller; G Fuhr
Journal:  Med Biol Eng Comput       Date:  1999-03       Impact factor: 2.602

2.  Measurement of inherent particle properties by dynamic light scattering: introducing electrorotational light scattering.

Authors:  B Prüger; P Eppmann; E Donath; J Gimsa
Journal:  Biophys J       Date:  1997-03       Impact factor: 4.033

3.  Parametric modelling for electrical impedance spectroscopy system.

Authors:  L Lu; L Hamzaoui; B H Brown; B Rigaud; R H Smallwood; D C Barber; J P Morucci
Journal:  Med Biol Eng Comput       Date:  1996-03       Impact factor: 2.602

4.  Dielectric spectroscopy of single human erythrocytes at physiological ionic strength: dispersion of the cytoplasm.

Authors:  J Gimsa; T Müller; T Schnelle; G Fuhr
Journal:  Biophys J       Date:  1996-07       Impact factor: 4.033

5.  The electrical characteristics of human skin in vivo.

Authors:  Y N Kalia; R H Guy
Journal:  Pharm Res       Date:  1995-11       Impact factor: 4.200

Review 6.  Radio-frequency microtools for particle and liver cell manipulation.

Authors:  G Fuhr; T Müller; T Schnelle; R Hagedorn; A Voigt; S Fiedler; W M Arnold; U Zimmermann; B Wagner; A Heuberger
Journal:  Naturwissenschaften       Date:  1994-12

7.  Microwave dielectric measurements of erythrocyte suspensions.

Authors:  J Z Bao; C C Davis; M L Swicord
Journal:  Biophys J       Date:  1994-06       Impact factor: 4.033

Review 8.  Electrical Impedance Myography and Its Applications in Neuromuscular Disorders.

Authors:  Benjamin Sanchez; Seward B Rutkove
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

9.  Characterization of three-dimensional tissue cultures using electrical impedance spectroscopy.

Authors:  A H Kyle; C T Chan; A I Minchinton
Journal:  Biophys J       Date:  1999-05       Impact factor: 4.033

10.  A Bioimpedance Analysis Platform for Amputee Residual Limb Assessment.

Authors:  Joan E Sanders; Mark A Moehring; Travis M Rothlisberger; Reid H Phillips; Tyler Hartley; Colin R Dietrich; Christian B Redd; David W Gardner; John C Cagle
Journal:  IEEE Trans Biomed Eng       Date:  2015-11-19       Impact factor: 4.538

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