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PubMed2004

Theoretical and experimental analysis of analyte transport in a fiber-optic, protein C immuno-biosensor.

Protein C (PC) is an important anticoagulant in human blood plasma, and early diagnosis of PC deficiency is critical for preventing dangerous thromboembolic complications. A fiber-optic PC immuno-biosensor has been under development in our research group for real-time PC-deficiency diagnosis. The sensor has demonstrated a good sensitivity and specificity for quantifying PC in buffered solutions. However, for plasma samples, with a limited sample reaction time, the sensor produced only 30% of the signal intensity of PC in buffer. The high plasma viscosity (1.9 cP) was speculated as the major reason for signal intensity reduction. In this investigation, the sensing performance of the fiber-optic PC biosensor is systematically characterized in terms of physical and chemical properties of the sample media. Theoretical and experimental analyses indicate that the reduced diffusion rate of PC molecules in viscous samples caused the sensing system to be more mass-transfer-limited. Convective flow of sample/reagent solutions during immunoreactions can increase the rate of the analyte mass transport from the bulk solution to the sensor surface, with reaction kinetics changing from mass-transfer-limited to reaction-limited as flow velocity increases. It was shown that PC sensor performance was significantly improved for plasma samples with convection. The effect of the flow velocity and incubation times for samples and reagents on the sensor performance was also systematically analyzed to optimize the assay protocol for PC sensing. Currently, a 6-cm-long immuno-biosensor is capable of quantifying PC in plasma (1 mL) in the heterozygous PC deficiency range (0.5 to 2.5 microg/mL) within 5 minutes, at an average signal-to-noise ratio of 50.

Biosensing Techniques↗

PubMedDate not supplied

Cultured neuronal networks as environmental biosensors.

Contamination of water by toxins, either intentionally or unintentionally, is a growing concern for both military and civilian agencies and thus there is a need for systems capable of monitoring a wide range of natural and industrial toxicants. The EILATox-Oregon Workshop held in September 2002 provided an opportunity to test the capabilities of a prototype neuronal network-based biosensor with unknown contaminants in water samples. The biosensor is a portable device capable of recording the action potential activity from a network of mammalian neurons grown on glass microelectrode arrays. Changes in the action potential fi ring rate across the network are monitored to determine exposure to toxicants. A series of three neuronal networks derived from mice was used to test seven unknown samples. Two of these unknowns later were revealed to be blanks, to which the neuronal networks did not respond. Of the five remaining unknowns, a significant change in network activity was detected for four of the compounds at concentrations below a lethal level for humans: mercuric chloride, sodium arsenite, phosdrin and chlordimeform. These compounds--two heavy metals, an organophosphate and an insecticide--demonstrate the breadth of detection possible with neuronal networks. The results generated at the workshop show the promise of the neuronal network biosensor as an environmental detector but there is still considerable effort needed to produce a device suitable for routine environmental threat monitoring.

Action Potentials↗

PubMedDate not supplied

Survey of the year 2000 commercial optical biosensor literature.

We have compiled a comprehensive list of the articles published in the year 2000 that describe work employing commercial optical biosensors. Selected reviews of interest for the general biosensor user are highlighted. Emerging applications in areas of drug discovery, clinical support, food and environment monitoring, and cell membrane biology are emphasized. In addition, the experimental design and data processing steps necessary to achieve high-quality biosensor data are described and examples of well-performed kinetic analysis are provided.

Animals↗

PubMedDate not supplied

Survey of the year 2003 commercial optical biosensor literature.

In the year 2003 there was a 17% increase in the number of publications citing work performed using optical biosensor technology compared with the previous year. We collated the 962 total papers for 2003, identified the geographical regions where the work was performed, highlighted the instrument types on which it was carried out, and segregated the papers by biological system. In this overview, we spotlight 13 papers that should be on everyone's 'must read' list for 2003 and provide examples of how to identify and interpret high-quality biosensor data. Although we still find that the literature is replete with poorly performed experiments, over-interpreted results and a general lack of understanding of data analysis, we are optimistic that these shortcomings will be addressed as biosensor technology continues to mature.

Biological Assay↗

PubMed1995

A biosensor concept based on imaging ellipsometry for visualization of biomolecular interactions.

A new type of optical biosensor system is proposed and its application to detection of antigen-antibody complexes on a silicon substrate is demonstrated. The biosensor system is utilizing specificities of biomolecular interactions in combination with protein patterned surfaces. Visualization of the thickness distributions of thin layers (protein patterns) on a surface is achieved by using imaging ellipsometry. This technique uses a CCD camera whereby an ellipsometric analysis of a large surface can be made. The biosensor system has the advantages of high spatial resolution, fast data acquisition, and simplicity in use.

Adsorption↗

PubMed1996

Quantitating staphylococcal enterotoxin B in diverse media using a portable fiber-optic biosensor.

A new, portable fiber-optic biosensor has been used to detect staphylococcal enterotoxin B, a causative agent of food poisoning, at levels as low as 0.5 ng/ml in buffer. The toxin (SEB) can also be detected and quantitated in other relevant media: human serum, urine, and aqueous extract of ham. The level of toxin, from 5 to 200 ng/ml, can be accurately predicted in these media by calibrating each fiber and by comparing results to a single standard curve based on toxin in buffer. The quantitative fluorescent sandwich immunoassay provides results in 45 min; qualitative results are provided in 15-20 min. Using a blender and a benchtop centrifuge, fast, simple aqueous extracts of contaminated ham samples were prepared and tested. Ham spiked with 5 or 40 micrograms SEB per 100 g food resulted in biosensor readings indicative of 11 or 69% recovery of the toxin, respectively. Finally, the SEB assay is highly specific; SEA and SED give only 2-3% of the signal at 5000 ng/ml as SEB gives at 1000 ng/ml. This specific, sensitive assay for SEB on the portable fiber-optic biosensor permits easy monitoring of clinical samples or on-site analysis of suspect food samples.

Animals↗

PubMed2001

An organically modified silicate-based ethanol biosensor.

A novel electrocatalytic ethanol biosensor using ferrocene-encapsulated palladium (Pd)-linked organically modified sol-gel glass (ormosil) is reported. The alkoxy precursors used to prepare the new ormosil-based electrocatalytic biosensor are Pd-linked glycidoxypropyltrimethoxysilane and trimethoxysilane. Pd-glycidoxypropyltrimethoxysilane (black solution) is made by mixing aqueous solutions of palladium chloride and glycidoxypropyltrimethoxysilane. The new ormosil is made using a Pd-linked silane precursor, trimethoxysilane, an aqueous solution of ferrocene monocarboxylic acid, and HCl. Alcohol dehydrogenase (ADH) is assembled over the ferrocene-ormosil layer using polyvinyl alcohol and then protecting the immobilized enzyme layer using Millipore filter membranes (pore size 1 microm). The electrocatalytic response of immobilized ADH, soluble nicotinamide adenine dinucleotide, and Pd-linked ormosil-encapsulated ferrocene is then observed. The electrocatalytic oxidation of NADH and the subsequent ADH-catalyzed formation of NADH are monitored electrochemically. Typical results recorded after the addition of varying concentrations of ethanol are reported; however, the sensor is sensitive to other alcohol and known ADH-sensitive substrates. The stability and reproducibility of the new ethanol biosensor are reported.

Alcohol Dehydrogenase↗

PubMed2001

An amperometric cellobiose dehydrogenase-based biosensor can be used for measurement of cellulase activity.

The hemoflavoenzyme cellobiose dehydrogenase (CDH, EC 1.1.99.18) from Phanerochaete chrysosporium has been used in an amperometric redox polymer-based biosensor. Used in conjugation with a FIA system this biosensor can replace colorimetric assays for measuring cellobiose liberated from cellulose in a series of cellulase-containing samples. The biosensor gave the same result as the Somogyi-Nelson method in a less time-consuming and laborious manner. The two methods showed about the same precision.

Biosensing Techniques↗

PubMed2001

The analysis of heparin-protein interactions using evanescent wave biosensor with regioselectively desulfated heparins as the ligands.

Evanescent wave biosensor has been recently employed as a powerful tool for analyses of macromolecular interactions. In the present study, evanescent wave biosensor analysis was developed to analyze the heparin-protein interaction using as ligands a series of heparin derivatives regioselectively desulfated by chemical methods, particularly to evaluate the effect of each sulfate group of heparin. The method for immobilizing heparin on the cuvette of the evanescent wave biosensor equipment was optimized to obtain the high response required for accurate measurement. The best result was achieved when the amino group introduced at the reducing end of heparin was coupled with carboxymethyl dextran on the surface of the cuvette using glycolchitosan as a multivalent linker. The established system appeared to describe well the interactions of heparin with such proteins as acidic and basic fibroblast growth factors and tissue factor pathway inhibitor.

Biosensing Techniques↗

PubMed2001

Chiral analysis of amino acids using electrochemical composite bienzyme biosensors.

The construction and performance of bienzyme amperometric composite biosensors for the selective determination of l- or d-amino acids is reported. D- or L-Amino acid oxidase, horseradish peroxidase, and the mediator ferrocene were coimmobilized by simple physical inclusion into the bulk of a graphite-70% Teflon electrode matrix. Working conditions including amino acid oxidase loading and pH were optimized. Studies on the repeatability of the amperometric response obtained at +0.00 V, with and without regeneration of the electrode surface by polishing, on the useful lifetime of one single biosensor and on the reproducibility in the fabrication of different biosensors illustrate the robustness of the bioelectrodes design. Calibration plots by both amperometry in stirred solutions and flow injection with amperometric detection were obtained for L-arginine, L-phenylalanine, L-leucine, L-methionine, L-tryptophan, D-leucine, D-methionine, D-serine, and D-valine. Differences in sensitivity were discussed in terms of the hydrophobicity of the substrate and of the electrode surface. The bienzyme composite electrode was applied to the determination of L- and D-amino acids in racemic samples, as well as to the estimation of the L-amino acids content in muscatel grapes.

Amino Acid Oxidoreductases↗

PubMed1997

Binding Kinetics for Biosensor Applications Utilizing Fractals: A Categorization

Analyte-receptor binding reactions occurring on biosensor surfaces are categorized using a fractal analysis. Both a single- and a dual-fractal analysis are utilized to describe the analyte-receptor binding kinetics. The three categories presented to describe the binding kinetics include (a) case I-only a single-fractal analysis is utilized, (b) case II-a single- and a dual-fractal analysis are utilized (implying a change in the binding mechanism), and (c) case III-only a dual-fractal analysis is utilized. This is an initial attempt to categorize surface binding kinetics. The categorization provides one possible means of classifying analyte-receptor reactions occurring on biosensor surfaces. The analysis should help to improve biosensor performance parameters. The analysis is, in general, extendable to analyte-receptor reactions occurring on other surfaces.

Journal Article↗

PubMed1999

A Single and a Dual-Fractal Analysis of Analyte-Receptor Binding Kinetics for Surface Plasmon Resonance Biosensor Applications.

The diffusion-limited binding kinetics of analyte in solution to either a receptor immobilized on a surface or to a receptorless surface is analyzed within a fractal framework for a surface plasmon resonance biosensor. The data is adequately described by a single- or a dual-fractal analysis. Initially, the data was modeled by a single-fractal analysis. If an inadequate fit was obtained then a dual-fractal analysis was utilized. The regression analysis provided by Sigmaplot (32) was used to determine if a single fractal analysis is sufficient or if a dual-fractal analysis is required. In general, it is of interest to note that the binding rate coefficient and the fractal dimension exhibit changes in the same direction (except for a single example) for the analyte-receptor systems analyzed. Binding rate coefficient expressions as a function of the fractal dimension developed for the analyte-receptor binding systems indicate, in general, the high sensitivity of the binding rate coefficient on the fractal dimension when both a single- and a dual-fractal analysis is used. For example, for a single-fractal analysis and for the binding of human endothelin-1 (ET-1) antibody in solution to ET-115-21.BSA immobilized on a surface plasmon resonance (SPR) surface (33), the order of dependence of the binding rate coefficient, k, on the fractal dimension, Df, is 6.4405. Similarly, for a dual-fractal analysis and for the binding of 10(-6) to 10(-4) M bSA in solution to a receptorless surface (direct binding to SPR surface) (41) the order of dependence of k1 and k2 on Df1 and Df2 were -2.356 and 6.241, respectively. Binding rate coefficient expressions are also developed as a function of the analyte concentration in solution. The binding rate coefficient expressions developed as a function of the fractal dimension(s) are of particular value since they provide a means to better control SPR biosensor performance by linking it to the degree of heterogeneity that exists on the SPR biosensor surface. Copyright 1999 Academic Press.

Journal Article↗

PubMed1999

Exploring biomolecular recognition using optical biosensors.

Understanding the basic forces that determine molecular recognition helps to elucidate mechanisms of biological processes and facilitates discovery of innovative biotechnological methods and materials for therapeutics, diagnostics, and separation science. The ability to measure interaction properties of biological macromolecules quantitatively across a wide range of affinity, size, and purity is a growing need of studies aimed at characterizing biomolecular interactions and the structural elements that drive them. Optical biosensors have provided an increasingly impactful technology for such biomolecular interaction analyses. These biosensors record the binding and dissociation of macromolecules in real time by transducing the accumulation of mass of an analyte molecule at the sensor surface coated with ligand molecule into an optical signal. Interactions of analytes and ligands can be analyzed at a microscale and without the need to label either interactant. Sensors enable the detection of bimolecular interaction as well as multimolecular assembly. Most notably, the method is quantitative and kinetic, enabling determination of both steady-state and dynamic parameters of interaction. This article describes the basic methodology of optical biosensors and presents several examples of its use to investigate such biomolecular systems as cytokine growth factor-receptor recognition, coagulation factor assembly, and virus-cell docking.

Artifacts↗

PubMed2006

Aptamer-based biosensors: biomedical applications.

This chapter considers the use of aptamer-based biosensors (generally termed 'aptasensors') in various biomedical applications. A comparison of antibodies and aptamers is made with respect to their use in the development of biosensors. A brief introduction to biosensor design and theory is provided to illustrate the principles of the field. Various transduction approaches, viz. optical, fluorescence, acoustic wave and electrochemical, are discussed. Specific biomedical applications described include RNA folding, high-throughput screening of drugs, use as receptors for measuring biological concentrations, detection of platelet-derived growth factor, protein binding and detection of HIV-1 Tat protein.

Animals↗

PubMed1997

Biosensors for food analysis.

Concerning speed, cost and on-line capabilities, biosensors offer attractive alternatives to existing methods for food analysis. They make monitoring and control of manufacturing processes possible. Furthermore, portable biosensors could be used for monitoring in manufacturing, retail and distribution of foods. An overview is given about existing biosensors for foodstuffs that could find applications in food industry.

Acids↗

PubMed2004

Whole-cell-based biosensors for environmental biomonitoring and application.

A variety of whole-cell-based biosensors has been developed using numerous native and recombinant biosensing cells. The use of reporter genes, for example bacterial luciferase and gfp, to monitor gene expression is discussed in terms of each reporters' benefits and disadvantages, including their possible use on-line, their sensitivity, the need for extra substrate, etc. All biosensing cells in use can be classified into two groups in terms of their biosensing mechanisms--constitutive expression and stress- or chemical-specific inducible expression. In this review several examples of each are presented and discussed. The use of recombinant whole-cell biosensors in the field requires three components--biosensing cells, a measurement device, and a signal-transducing apparatus, the last two depending on the first and the final applications of the system. The use of different immobilization techniques in several studies to maintain the cells and their viability is also discussed, in particular their use in the development of both high-throughput and chip-based biosensing systems. Finally the application of whole-cell-based biosensors to different environmental media, such as water, soil, and atmospheric monitoring is discussed; particular attention is given to their use for detection of various stressors, including dioxins, endocrine-disrupting chemicals, and ionizing radiation.

Biosensing Techniques↗

PubMed1991

A yeast biosensor for glucose determination.

A yeast potentiometric biosensor for glucose determination is described. After induction of glycolytic enzyme synthesis a cell suspension of the yeast Hansenula anomala is retained in calcium alginate gel on the surface of a glass electrode. This biosensor gives a Nernstian response in glucose concentration of 5 x 10(-4)-5 x 10(-3) mol/l with a response time of 5 min and a life-time of at least 2 months. Mannose and fructose are the only significantly interfering substances. The biosensor was used for measurement of glucose concentration in urine with results comparable to those obtained by a photometric enzymatic method.

Biological Assay↗

PubMed1993

A microbial biosensor system for dihalomethanes.

A biosensor system able to measure dichloromethane (DCM) and other dihalomethanes has been developed. The analysis is based on Hyphomicrobium DM2 cells immobilized in alginate. A combination of transducers consisting of a flow-calorimeter followed by a chloride-sensitive electrode has been used. By this design it was possible to monitor different aspects of the cell metabolism from one and the same pulse of substrate. The detection limit for the biosensor was 0.1 microM dichloromethane. The biosensor system can be used for continuous measurements in a sample stream.

Bacteria↗