Biacore biosensor immunoassay for 4-nonylphenols: assay optimization and applicability for shellfish analysis

Samsonova, J.V.; Uskova, Natalya A.; Andresyuk, A. N.; Fránek, Milan; Elliott, Christopher T.

doi:10.1016/j.chemosphere.2004.07.028

Cited by 38 publications

(15 citation statements)

References 21 publications

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“…doi:10.1016/j.aca.2008.09.040 of many laboratories worldwide [9][10][11][12][13][14][15]. In this study, an optical biosensor-screening assay was initially developed for the detection of nitroimidazoles in porcine, bovine and ovine kidney tissue, as this is the matrix specified by the United Kingdom National Surveillance Scheme (UKNSS).…”

Section: Introductionmentioning

confidence: 99%

Improved screening method for the detection of a range of nitroimidazoles in various matrices by optical biosensor

Thompson

Traynor

Fodey

et al. 2009

Analytica Chimica Acta

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Section: Introductionmentioning

confidence: 99%

Improved screening method for the detection of a range of nitroimidazoles in various matrices by optical biosensor

Thompson

Traynor

Fodey

et al. 2009

Analytica Chimica Acta

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“…Because of the real-time nature of the device, Minunnia et al (2005) are using the BIAcore to automate and greatly speed the process of identifying useful pharmaceutical compounds from plant samples. The speed with which the BIAcore can obtain measurements is exploited by Samsonova et al (2004) to create a preliminary screen for shellfish exposure to environmental toxins.…”

Section: Introductionmentioning

confidence: 99%

Convection Effects in the BIAcore Dextran Layer: Surface Reaction Model

Edwards

2006

Bull. Math. Biol.

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The BIAcore is a surface plasmon resonance (SPR) device used to measure rate constants, primarily for biochemical reactions. It consists of a flow channel containing one reactant adjoining a dextran gel containing the other. In order to explain anomalous measurements from the device, it has been proposed that some flow penetrates into the dextran layer, thus enhancing transport. A model is presented that accounts for such behavior, and typical velocity fields in the dextran are constructed. The system is analyzed in the limit of the surface reaction model, which corresponds to the limit of thin dextran layers. Asymptotic and singular perturbation techniques are used to analyze association and dissociation kinetics. Linear and nonlinear integral equations result from the analysis; explicit and asymptotic solutions are constructed for physically realizable cases. The results indicate that the effects of such penetration are bound to be small, regardless of the flow model used.

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“…The method was used for quantification of the pollutant in sea mollusks. The lower LOD for 4-n-nonylphenol in real samples was 10 ng/mL [51].…”

Section: Pollutants -Surfactants Oil Hydrocarbons and Othersmentioning

confidence: 88%

Biosensor development in Russia

Reshetilov

2007

Biotechnology Journal

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The review summarizes the current Russian research in the field of biological sensors for detection of carbohydrates, alcohols, medicines, enzyme inhibitors, toxicants, heavy metal ions, as well as viruses and microbial cells. Some of the presented works describe the analytical parameters of biosensors; other publications provide a basis for their development. The review covers mainly publications that have appeared over the past 10 years. As a whole, the collected material gives an idea of the main tendencies of biosensor development in Russia. The review is not meant to be comprehensive but highlights the major trends in this field in the last decade.

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Biacore biosensor immunoassay for 4-nonylphenols: assay optimization and applicability for shellfish analysis

Cited by 38 publications

References 21 publications

Improved screening method for the detection of a range of nitroimidazoles in various matrices by optical biosensor

Improved screening method for the detection of a range of nitroimidazoles in various matrices by optical biosensor

Convection Effects in the BIAcore Dextran Layer: Surface Reaction Model

Biosensor development in Russia

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