Lin CH, Chen HY, Yu CJ, Lu PL, Hsieh CH, Hsieh BY, Chang YF, Chou C. Quantitative measurement of binding kinetics in sandwich assay using a fluorescence detection fiber-optic biosensor.
Anal Biochem 2008;
385:224-8. [PMID:
19041630 DOI:
10.1016/j.ab.2008.11.010]
[Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2008] [Revised: 10/24/2008] [Accepted: 11/06/2008] [Indexed: 10/21/2022]
Abstract
Fiber-optic biosensors have been studied intensively because they are very useful and important tools for monitoring biomolecular interactions. Here we describe a fluorescence detection fiber-optic biosensor (FD-FOB) using a sandwich assay to detect antibody-antigen interaction. In addition, the quantitative measurement of binding kinetics, including the association and dissociation rate constants for immunoglobulin G (IgG)/anti-mouse IgG, is achieved, indicating 0.38 x 10(6) M(-1) s(-1) for k(a) and 3.15 x 10(-3) s(-1) for k(d). These constants are calculated from the fluorescence signals detected on fiber surface only where the excited evanescent wave can be generated. Thus, a confined fluorescence-detecting region is achieved to specifically determine the binding kinetics at the vicinity of the interface between sensing materials and uncladded fiber surface. With this FD-FOB, the mathematical deduction and experimental verification of the binding kinetics in a sandwich immunoassay provide a theoretical basis for measuring rate constants and equilibrium dissociation constants. A further measurement to study the interaction between human heart-type fatty acid-binding protein and its antibody gave the calculated kinetic constants k(a), k(d), and K(D) as 8.48 x 10(5) M(-1) s(-1), 1.7 x 10(-3) s(-1), and 2.0 nM, respectively. Our study is the first attempt to establish a theoretical basis for the florescence-sensitive immunoassay using a sandwich format. Moreover, we demonstrate that the FD-FOB as a high-throughput biosensor can provide an alternative to the chip-based biosensors to study real-time biomolecular interaction.
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