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      Optimizing Multiple Analyte Injections in Surface Plasmon Resonance Biosensors with Analytes having Different Refractive Index Increments

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          Abstract

          Surface plasmon resonance-based biosensors have been successfully applied to the study of the interactions between macromolecules and small molecular weight compounds. In an effort to increase the throughput of these SPR-based experiments, we have already proposed to inject multiple compounds simultaneously over the same surface. When specifically applied to small molecular weight compounds, such a strategy would however require prior knowledge of the refractive index increment of each compound in order to correctly interpret the recorded signal. An additional experiment is typically required to obtain this information. In this manuscript, we show that through the introduction of an additional global parameter corresponding to the ratio of the saturating signals associated with each molecule, the kinetic parameters could be identified with similar confidence intervals without any other experimentation.

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          Towards integrated and sensitive surface plasmon resonance biosensors: a review of recent progress.

          The use of surface plasmon resonance (SPR) biosensors is increasingly popular in fundamental biological studies, health science research, drug discovery, clinical diagnosis, and environmental and agricultural monitoring. SPR allows for the qualitative and quantitative measurements of biomolecular interactions in real-time without requiring a labeling procedure. Today, the development of SPR is geared toward the design of compact, low-cost, and sensitive biosensors. Rapid advances in micro-fabrication technology have made available integratable opto-electronic components suitable for SPR. This review paper focuses on the progress made over the past 4 years toward this integration. Readers will find the descriptions of novel SPR optical approaches and materials. Nano-technology is also increasingly used in the design of biologically optimized and optically enhanced surfaces for SPR. Much of this work is leading to the integration of sensitive SPR to lab-on-a-chip platforms.
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            Surface plasmon resonance based biosensor technique: a review.

            Optical Surface plasmon resonance (SPR) biosensors represent the most advanced and developed optical label-free biosensor technology. Optical SPR biosensors are a powerful detection and analysis tool that has vast applications in environmental protection, biotechnology, medical diagnostics, drug screening, food safety and security. This article reviews the recent development of SPR biosensor techniques, including bulk SPR and localized SPR (LSPR) biosensors, for detecting interactions between an analyte of interest in solution and a biomolecular recognition. The concepts of bulk and localized SPs and the working principles of both sensing techniques are introduced. Major sensing advances on biorecognition elements, measurement formats, and sensing platforms are presented. Finally, the discussions on both biosensor techniques as well as comparison of both SPR sensing techniques are made. Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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              CLAMP©: a biosensor kinetic data analysis program

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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                30 October 2015
                2015
                : 5
                : 15855
                Affiliations
                [1 ]Department of Chemical Engineering, École Polytechnique de Montréal . P.O. Box 6079, Centre-ville Station, H3C 3A7 Montréal, Québec, Canada
                Author notes
                [*]

                These authors contributed equally to this work.

                Article
                srep15855
                10.1038/srep15855
                4626837
                26515024
                a27081e0-5856-4131-938e-76a2578d66e3
                Copyright © 2015, Macmillan Publishers Limited

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 08 June 2015
                : 05 October 2015
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