Adding Biomolecular Recognition Capability to 3D Printed Objects.

Abstract

Three-dimensional (3D) printing technologies will impact the biosensor community in the near future, at both the sensor prototyping level and the sensing layer organization level. The present study aimed at demonstrating the capacity of one 3D printing technique, digital light processing (DLP), to produce hydrogel sensing layers with 3D shapes that are unattainable using conventional molding procedures. The first model of the sensing layer was composed of a sequential enzymatic reaction (glucose oxidase and peroxidase), which generated a chemiluminescent signal in the presence of glucose and luminol. Highly complex objects with assembly properties (fanciful ball, puzzle pieces, 3D pixels, propellers, fluidic and multicompartments) with mono-, di-, and tricomponents configurations were achieved, and the activity of the entrapped enzymes was demonstrated. The second model was a sandwich immunoassay protocol for the detection of brain natriuretic peptide. Here, highly complex propeller shape sensing layers were produced, and the recognition capability of the antibodies was elucidated. The present study opens then the path to a totally new field of development of multiplex sensing layers, printed separately and assembled on demand to create complex sensing systems.