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Biomedical subjects

E Gheorghiu

Publications and source records attributed to E Gheorghiu.

At least 19 recordsLinked to original sources

Differential impedance spectroscopy for monitoring protein immobilization and antibody-antigen reactions.

This work describes the theoretical and experimental approaches for monitoring the interfacial biomolecular reaction between immobilized antibody and the antigen binding partner using novel differential impedance spectroscopy. The prerequisite of any biosensor is the immobilization of macromolecules onto the surface of a transducer. It is clear that the function of most macromolecules changes from what is observed in solution once immobilization has occurred. In the worst case, molecules entirely lose their binding activity almost immediately after immobilization. Certain conditions (e.g., denaturation, interfacial effects based on ionic strength, surface charge, dielectric constants, etc.) at interfaces are responsible for alterations of binding activity; it is not clear whether a combination of such processes is understood. However, these processes in combination must be reliably modeled in order to predict the outcome for most macromolecules. This work presents the theoretical and practical means for elucidating the surface reactivity of biomolecular reagents using ion displacement model with antibody-antigen (Ab-Ag) reaction as the test case. The Ab-Ag reaction was directly monitored using a dual-channeled, impedance analyzer capable of 1 measurement/s using covalent immobilization chemistry and polymer-modified electrodes in the absence of a redox probe. The evidence of Ab-Ag binding was revealed through the evolution of differential admittance. The surface loading obtained using the covalent immobilization chemistry was 9.0 x 10(16)/cm2, whereas with polymer-modified electrodes, the surface loading was 9.0 x 10(15)/cm2, representing a 10 times increase in surface reactivity. The proposed approach may be applicable to monitoring other surface interfacial reactions such as DNA-DNA interactions, DNA-protein interactions, and DNA-small molecule interactions.

Algorithms↗

Microbial degradation of cellulose wastes in continuous bioreactors.

This paper reports on experiments concerning the biodegradation of cellulose wastes from wine-producing industries, as well as from cereal crops processing in agricultural farms, using cellulolytic bacterial and fungal species immobilized on radiopolymerized hydrogels. There are described three types of such bioreactors and their main features. The immobilization procedures have been achieved using the following species of microorganisms: Bacillus subtilis and B. licheniformis, from bacteria, as well as Pleurotus ostreatus and Trichoderma viride, from filamentous fungi. The immobilization matrices were prepared by radiopolymerization, using a 60Co radioactive source, designed for gamma irradiation. A consistent increasing of dry weight loss correlated with a correspondent enhancement of biodegradation rate by 10 - 20%, have revealed significant differences of metabolic activities between these immobilized bacteria and fungi on radiopolymerized hydrogels and those free cells cultures of the same microorganisms, which were grown on agar-agar gels and used as control references, in all performed experiments. Regarding the enzymatic activity of immobilized microorganisms the registered results have revealed an increasing of total reducing sugars with 20 - 30 mg g(-1). The enhancement of cellulolytic activity was higher with 0.1 - 0.3 U min(-1), in comparison with those values determined for the same process performed by the same microorganisms, used as control.

Bacillus↗

Quantitative analysis of impedance spectra of organs during ischemia.

We have developed a rapid, quantitative procedure to fit the spectra of the real and imaginary part of tissue impedance, providing characteristic parameters: time constants, their distribution, and the amplitudes of associated dispersions. Based on the time course of tissue impedance during ischemia, we have derived the evolution of characteristic parameters for both myocardial and liver tissue. The similar evolution of the distribution of time constants for myocardial and liver tissue is emphasized and discussed.

Animals↗

On the limits of ellipsoidal models when analyzing dielectric behavior of living cells. Emphasis on red blood cells.

The dielectric behavior of red blood cells is simulated by taking into account the real shape (consistent with microscopic observations) and the ellipsoids (prolate and oblate spheroids) having the same surface and volume. We have pointed out that the spectra of the imaginary versus the real part of polarizability, which can be directly derived from the measured data, provide quantitative insight to cell morphology. We emphasize that ellipsoidal approximation is fairly good for random oriented cells, but rather poor whenever oriented cells are measured. This fact is assumed to be the reason for the differences between the reported parameters derived from measurements on single cells and those from observations on (random oriented) cells in suspension.

Algorithms↗

Real-time monitoring of yeast cell division by dielectric spectroscopy.

To assay cell cycle progression in synchronized culture of yeast we have applied dielectric spectroscopy to its real-time monitoring. The dielectric monitoring is based on the electromagnetic induction method, regarded as a nonelectrode method, which has resolved the problems encountered in measurements with metal electrodes, namely electrode polarization and bubble formation on electrodes. In the synchronized culture with temperature-sensitive cell division cycle mutants, the permittivity of the culture broth showed cyclic changes at frequencies below 300 kHz. The increase and decrease in the cyclic changes of the relative permittivity correspond to the increase in cell length and bud size and to the septum formation between mother and daughter cells, respectively.

Biophysical Phenomena↗

Dielectric behavior of budding yeast in cell separation.

Dielectric behavior of budding yeast in cell separation was studied by comparing two types of temperature-sensitive cell division cycle mutants that arrest before and after cell separation at the restrictive temperature. Single spherical cells before budding but after cell separation showed one main dielectric dispersion (centered at about 1 MHz) and one additional dielectric dispersion (at about 20 MHz), which were the Maxwell-Wagner dispersions due to the plasma membrane and due to both of the cell wall and vacuole, respectively. With cells that accumulated as doublets at a point immediately before cell separation, one more dielectric dispersion appeared around 200 kHz in addition to two dielectric dispersions similar to those found for the single cells without bud. The difference in dielectric behavior between the two types of cells might be mainly attributed to the difference in cell shape, which was theoretically examined using non-spherical cell models.

Cell Cycle↗

Characterizing cellular systems by means of dielectric spectroscopy.

The dielectric behavior of a suspension of synchronized, spherical cells has been investigated in relation to the electrical parameters of certain cell structures. In the quasistatic approximation, Poisson's equations are solved for the respective diffusive media, and the local charge distributions are derived by taking into account the continuity equations. The results describe both alpha and beta dispersion and reduce, in the corresponding limiting cases, to previous reports. The dependence of suspension permittivity in alpha- and beta-dispersion ranges on the diffusive effects, the conductivity, and the permittivity of cytoplasm, of membrane, and of culture medium as well as on membrane thickness is pointed out. The possibility is pointed out of characterizing cellular behavior by means of the evolution of certain electrical and morphological parameters during cell cycle progression as well the effects of different stimuli on cellular systems derived by fast dielectric spectroscopy.

Algorithms↗

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History, Modern 1601-↗

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History of Pharmacy↗