Biomedical subjects

Silvana Andreescu

Publications and source records attributed to Silvana Andreescu.

11 recordsLinked to original sources

PubMed2006

Detection and identification of bacteria using antibiotic susceptibility and a multi-array electrochemical sensor with pattern recognition.

This work proposes the use of amperometric signals generated by a 96-well multi-array dissolved oxygen multi-electrode sensor (DOX) coupled with principal component analysis for continuous monitoring, identification and differentiation of bacteria. Two types of differentiation mechanisms were tested: (1) direct monitoring of respiratory activity via oxygen consumption and (2) quantification of the effect of three broad-spectrum antibiotics on bacteria growth and respiration over time. Five species of bacteria were examined including: Escherichia coli, Escherichia adecarboxylata, Comamonas acidovorans, Corynebacterium glutamicum and Staphylococcus epidermidis. The addition of small concentrations of antibiotics to the growth medium alters the oxygen consumption of the cells and a unique fingerprint is created for a specific cell. This fingerprint is shown to evolve over a specific concentration range that is dependant of instrumental constraints of the DOX system. The application of principal component analysis (PCA) to classify the data was also examined. It was shown that bacteria could be classified simply by their oxygen consumption rates over a varying concentration range. Discrimination between species can also be increased by the effects of the antibiotics on the oxygen consumption of varying concentrations of cells. The proposed DOX-PCA system illustrates a generic template that can be tailored to meet specific research goals by the selection of specific cell/antibiotic combinations and concentrations.

Algorithms↗

PubMed2006

Twenty years research in cholinesterase biosensors: from basic research to practical applications.

Over the last decades, cholinesterase (ChE) biosensors have emerged as an ultra sensitive and rapid technique for toxicity analysis in environmental monitoring, food and quality control. These systems have the potential to complement or replace the classical analytical methods by simplifying or eliminating sample preparation protocols and making field testing easier and faster with significant decrease in costs per analysis. Over the years, engineering of more sensitive ChE enzymes, development of more reliable immobilization protocols and progress in the area of microelectronics could allow ChE biosensors to be competitive for field analysis and extend their applications to multianalyte screening, development of small, portable instrumentations for rapid toxicity testing, and detectors in chromatographic systems. In this paper, we will review the research efforts over the last 20 years in fabricating AChE biosensors and the recent trends and challenges encounter once the sensor is used outside research laboratory for in situ real sample applications. The review will discuss the generations of cholinesterase sensors with their advantages and limitations, the existing electrode configurations and fabrication techniques and their applications for toxicity monitoring. We will focus on low-cost electrochemical sensors and the approaches used for enzyme immobilization. Recent works for achieving high sensitivity and selectivity are also discussed.

Biosensing Techniques↗

PubMed2005

Multiarray sensors with pattern recognition for the detection, classification, and differentiation of bacteria at subspecies and strain levels.

This work describes the integration of a fully autonomous electrochemical biosensor with pattern recognition techniques for the detection and classification of bacteria at subspecies and strain level. The system provides a continuous, real-time monitoring of bacteria activity upon exposure to antibiotics. The system utilizes 96-well-type electrodes array (DOX-dissolved oxygen sensor) with principal component analysis (PCA) for rapid and routine classification of different classes of bacteria and related strains. A representative sample of a section of the bacteria kingdom has been analyzed and classified using the proposed DOX-PCA system, including the following: Corynebacterium glutamicum, Micrococcus luteus, Staphylococcus epidermidis, Yersinia ruckeri, Escherichia adecarboxylata, Comamonas acidovorans, Alcaligenes odorans, Bacillus globigii, and three strains of Escherichia coli (K12, SM10, ATCC 25922). The new classification scheme is based on the hypothesis that, under identical experimental conditions, various bacteria consume oxygen at different rates and are affected in different ways by selected antibiotics. Thus, the response of the individual electrode in the array is indirectly altered, compared to that of cells growing on medium, by the addition of the antibiotic. By using three different antibiotics in separate wells, a unique fingerprint can be created for a specific bacterium. With the proposed DOX-PCA system, classification of bacteria was achieved at subspecies and strain level in real time. This study represents a basic research tool that may allow researchers to rapidly detect, quantify, and classify bacteria type at subspecies and strain levels.

Ampicillin↗

PubMed2005

Advanced electrochemical sensors for cell cancer monitoring.

The possibility of using minimally invasive analytical instruments to monitor cancerous cells and their interactions with analytes provide great advances in cancer research and toxicology. The real success in the development of a reliable sensor for cell monitoring depends on the ability to design powerful instrumentation that will facilitate efficient signal transduction from the biological process that occurs in the cellular environment. The resulting sensor should not affect cell viability and must function as well as adapt the system to the specific conditions imposed by the cell culture. Due to their performance, electrochemical biosensors could be used as an effective instrument in cell cancer research for studying biochemical processes, cancer development and progression as well as toxicity monitoring. Current research in this direction is conducted through high-throughput, compact, portable, and easy to use sensors that enable measurement of cells' activity in their optimum environment. This paper discusses the potential of a high-throughput electrochemical multisensor system, so-called the DOX system for monitoring cancerous cells and their interaction with chemical toxins. We describe the methodology, experiments, and the operation principle of this device, and we focus on the challenges encountered in optimizing and adapting the system to the specific cell-culture conditions. The DOX system is also compared with conventional cell-culture techniques.

Biosensing Techniques↗

PubMed2005

Effect of natural and synthetic estrogens on a549 lung cancer cells: correlation of chemical structures with cytotoxic effects.

A series of synthetic (nonylphenol, diethylstilbestrol, and bisphenol A) and natural (quercetin, resveratrol, and genistein) phenolic estrogens were investigated for their ability to affect the viability and proliferation of A549 lung cancer cells. To assess and distinguish the cytotoxic effect of individual estrogens, we used both the MTT tetrazolium spectrophotometric method and the fluorescence assay, while the induction of the cell specific apoptotic process was examined by fluorescence microscopy after treatment of cells with SYTO 24 green fluorescent dye. A systematic study of interferences for both fluorescence and MTT methods is presented. The results showed that both natural and synthetic estrogens decreased the viability and proliferation of A549 lung cancer cells in a dose-dependent manner but at different sensitivities. Nonylphenol appeared very different as compared to the other estrogens, acting by inducing the higher inactivation rate of the cells within a very short time. The cytotoxic effect of the estrogens was directly related to their structural and conformational characteristics including chain length, number, and position of hydroxyl groups and degree of saturation.

Adenocarcinoma↗

PubMed2004

Comparative investigation between acetylcholinesterase obtained from commercial sources and genetically modified Drosophila melanogaster: application in amperometric biosensors for methamidophos pesticide detection.

Genetically modified acetylcholinesterase (AChE) from Drosophila melanogaster (dm) and from commercial sources, Electric eel (ee), Bovine erythrocites (be) and Human erythrocites (he), were investigated as biological receptors for the detection of methamidophos pesticide based on inhibition studies. Most engineered variant of AChE from dm showed enhanced sensitivity toward methamidophos pesticide. Among 24 dmAChE variants tested, 12 presented a sensitivity comparable to the commercially available eeAChE, but higher than AChEs from be and he. Four were found more sensitive and six others were insensitive to methamidophos insecticide. The D375G,Y370F,Y374A,F376L mutant was the most sensitive, with a ki value of 2.2 X 10(6) mol(-1) L min(-1), three orders of magnitude higher than eeAChE (1.1 X 10(3) mol(-1) L min(-1)). The sensor constructed with genetically modified enzyme showed better characteristics with respect to detection limit and sensitivity compared with those using commercial eeAChE. Differential pulse polarography and chronoamperometry were used as electrochemical techniques to characterize the AChE biosensors. The lower detection limit of 1 ppb was obtained with D375G,Y370F,Y374A,F376L mutant of dmAChE, compared to 90 ppb for the commercial eeAChE. This study may stimulate scientists to develop more sensitive and selective procedures for organophosphorus insecticides detection by using engineered variant of dmAChE.

Acetylcholinesterase↗

PubMed2004

Autonomous multielectrode system for monitoring the interactions of isoflavonoids with lung cancer cells.

The cytotoxic effect of isoflavonoids in the development of different forms of cancer has been reported by epidemiological and dietary studies. Consequently, there is a search for an accurate and reliable method for monitoring the interactions of these chemicals with cancerous cells. We have developed and optimized a fully autonomous electrochemical biosensor for studying the role of isoflavonoids on A549 lung adenocarcinoma cell line. This advanced biosensor uses a prototype 96-electrode (DOX-96) well-type device that allows the measurement of cell respiratory activity via the consumption of dissolved oxygen. The system provides a continuous, real-time monitoring of cell activity upon exposure to naturally occurring polyphenols, specifically resveratrol, genistein, and quercetin. The system is equipped with a multipotentiostat, a 96-electrode well for measurements and cell culturing with 3 disposable electrodes fitted into each well. A comparison with classical "cell culture" techniques indicates that the biosensor provides real-time measurement with no added reagents. A detection limit of 1 x 10(4) was recorded versus 200 and 6 x 10(3) cells/well for MTT and fluorescence assays, respectively. This method was optimized with respect to cell stability, reproducibility, applied potential, cell density per well, volume/composition of cell culture medium per well, and incubation. Others include total measuring time, temperature, and sterilization procedure. This study represents a basic research tool that may allow researchers to study the type, level, and specific influence of isoflavonoids on cells.

Antineoplastic Agents↗

PubMed2004

Correlation of analyte structures with biosensor responses using the detection of phenolic estrogens as a model.

The apparent increase in hormone-induced cancers and disorders of the reproductive tract in wildlife and humans has led to a search for an accurate and reliable method for monitoring endocrine-disrupting chemicals (EDCs). This study presents a generic approach that may allow researchers to establish screening procedures for potential EDCs by correlating the analyte structures with biosensor responses and explain possible reaction mechanisms. A simple amperometric tyrosinase-based biosensor (Tyr-CPE) has been developed for the detection of phenolic EDCs. The investigation of the enzymatic oxidation of selected phenolic estrogens was first carried out using UV-vis spectroscopy. The result was used to correlate sensor responses to enzymatic activity. Natural phytoestrogen polyphenols, including resveratrol (RES), genistein (GEN), and quercetin (QRC), were compared with synthetic estrogens, for example, bisphenol A (BPhA), nonylphenol (NPh), and diethylstilbestrol (DES). The Tyr-CPE biosensor resulted in rapid, simple, and accurate measurement of phenolic estrogens with varying degrees of sensitivity, selectivity, and response times. The sensor responses have been evaluated for the detection of binary and tertiary mixtures of EDCs and natural estrogens. The results showed that BPhA could be successfully discriminated in a composite mixture containing NPh and DES at various ratios. In the case of natural phenolic estrogens GEN, RES, and QRC, the sensor allows the determination of a total phenolic content. The sensor was also validated for the detection of BPhA in a real environmental water sample, and the results was compared with standard ASTM method 9065. Mechanistically, our results indicated that the number of OH groups, the nature and the position of aryl ring substituents, or both could affect the detection limit and the biosensor sensitivity.

Animals↗

PubMed2003

Screen-printed electrodes with electropolymerized Meldola Blue as versatile detectors in biosensors.

Electropolymerization of Meldola Blue was carried out by cyclic voltammetry in the range from -0.6 to +1.4 V vs. Ag/AgCl, thus defining a new immobilization procedure of the phenoxazine mediator on screen-printed graphite electrodes. Evidence of polymer formation was provided by electrochemical and Fourier transform infrared spectroscopy (FTIR) data. Following polymerization, Meldola Blue preserved the ability to catalyze NADH oxidation allowing to achieve a detection limit of 2.5 x 10(-6) mol l(-1) and a sensitivity of 3713 microA l mol(-1) in amperometric determinations at 0 V vs. Ag/AgCl. In addition, the polymeric mediator was found to facilitate the reduction of hydrogen peroxide in the absence of peroxidase. Typical calibration at -0.1 V vs. Ag/AgCl shows a detection limit of 8.5 x 10(-5) mol l(-1), a sensitivity of 494 microA l mol(-1) and a linear range from 2.5 x 10(-4) to 5 x 10(-3) mol l(-1) hydrogen peroxide.

Biosensing Techniques↗

PubMed2002

Detection of organophosphorus insecticides with immobilized acetylcholinesterase - comparative study of two enzyme sensors.

Two-enzyme systems based on acetylcholinesterase (AChE) - a mono-enzyme system based on AChE, with p-aminophenyl acetate as substrate, and a bi-enzyme system based on AChE and tyrosinase, with phenyl acetate as substrate - have been studied for detection of organophosphate insecticides. The analytical performance and detection limits for determination of the pesticides were compared for the two AChE configurations. The enzyme loading, pH, and applied potential of the bi-enzyme system were optimised. When phenyl acetate was used as substrate for AChE activity the phenol generated by enzymatic hydrolysis was determined with a second enzyme, tyrosinase. Amperometric measurements were performed at 100 mV and -150 mV relative to the Ag/AgCl reference electrode for the mono-enzyme and bi-enzyme systems. Screen-printed sensors were used to detect the organophosphorus pesticides paraoxon and chlorpyrifos ethyl oxon; the detection limits achieved with phenyl acetate as substrate were 5.2x10(-3) mg L(-1) and 0.56x10(-3) mg L(-1), respectively.

Acetylcholinesterase↗

PubMed2002

Biosensors designed for environmental and food quality control based on screen-printed graphite electrodes with different configurations.

Graphite electrodes fabricated by screen-printing have been used as amperometric detectors in biosensors based on NAD(+)-dependent dehydrogenases, tyrosinase, or genetically modified acetylcholinesterases. The mono-enzyme sensors have been optimized as disposable or reusable devices for detection of a variety of substrates important in the food industry ( D-lactic acid, L-lactic acid, acetaldehyde) or in environmental pollution control (phenols and dithiocarbamate, carbamate and organophosphorus pesticides). The sensors were prepared in four configurations differing in enzyme confinement, enzyme immobilization and location of the immobilization agent in the biosensor assembly. Tests on real samples have been performed with the biosensors; D-lactic acid and acetaldehyde have been detected in wine and phenols in air.

Acetaldehyde↗