Fluorescence-based assay with enzyme amplification on a micro-flow immunosensor chip for monitoring coplanar polychlorinated biphenyls

Detection cf pollutants is of significant importance for environmental protection. However, conventional monitoring methods are often time-consuming, and require expensive equipments. Biosensors based on enzyme linked immunosorbent assay (ELISA) provide an alternative method to conventional ones. In this research, the reduction in the size of ELISA utilizing micro-chemical reaction is described in a micro-flow immunosensor chip. The immunosensor chips were fabricated by micro-electromechanical system (MEMS) technology. The quantitative determination of coplanar polychlorinated biphenyls (Co-PCBs) was performed by using a micro-flow immunosensor chip. Polystyrene beads were used as the solid substrate for the immobilization of Co-PCB antibody. The antibody-immobilized beads were introduced into the flow channel. As a competitive ELISA, sample solution mixed with horseradish peroxidase (HRP) conjugated antigen, and non-HRP conjugated antigen was allowed to react in the flow channel. After the antigen-antibody reaction, addition of phosphate buffer solution containing hydrogen peroxide and the fluorogenic substrate produced a fluorescent dye, which was monitored with the resulting change in the fluorescence intensity. By using our micro-flow immunosensor chip, it was possible to determine the sensing range of Co-PCB derivatives up to 0.1 ppt in 30 s. This immunosensor chip had a wide linear range for Co-PCB detection from 0.1 pg/ml to 1.0 mu g/ml. The regression analysis provided the correlation coefficients of r = 0.982-0.964 with good reproducibility and precision. In a series of five measurements with immunosensor chips prepared with a new batch of antibody-immobilized polystyrene beads, a relative standard deviation of 21.3% was obtained. Our immunosensor chip design reported here has the potential to be implemented to several different detection methodologies for numerous analytes. (c) 2004 Elsevier B.V. All rights reserved.