A comparative study of enzyme immobilization strategies for multi-walled carbon nanotube glucose biosensors

Jin Shi, Birck Nanotechnology Center, Purdue University
Jonathan C. Claussen, Birck Nanotechnology Center, Purdue University
Eric S. McLamore, University of Florida
Aeraj ul Haque, Birck Nanotechnology Center, Purdue University
David Jaroch, Birck Nanotechnology Center, Purdue University
Alfred Diggs, Birck Nanotechnology Center, Purdue University
Percy Calvo-Marzal, Purdue University
Jenna Rickus, Birck Nanotechnology Center, Purdue University
D. Marshall Porterfield, Birck Nanotechnology Center, Purdue University

Date of this Version



DOI: 10.1088/0957-4484/22/35/355502


This work addresses the comparison of different strategies for improving biosensor performance using nanomaterials. Glucose biosensors based on commonly applied enzyme immobilization approaches, including sol-gel encapsulation approaches and glutaraldehyde cross-linking strategies, were studied in the presence and absence of multi-walled carbon nanotubes (MWNTs). Although direct comparison of design parameters such as linear range and sensitivity is intuitive, this comparison alone is not an accurate indicator of biosensor efficacy, due to the wide range of electrodes and nanomaterials available for use in current biosensor designs. We proposed a comparative protocol which considers both the active area available for transduction following nanomaterial deposition and the sensitivity. Based on the protocol, when no nanomaterials were involved, TEOS/GOx biosensors exhibited the highest efficacy, followed by BSA/GA/GOx and TMOS/GOx biosensors. A novel biosensor containing carboxylated MWNTs modified with glucose oxidase and an overlying TMOS layer demonstrated optimum efficacy in terms of enhanced current density (18.3 +/- 0.5 mu A mM(-1) cm(-2)), linear range (0.0037-12 mM), detection limit (3.7 mu M), coefficient of variation (2%), response time (less than 8 s), and stability/selectivity/reproducibility. H(2)O(2) response tests demonstrated that the most possible reason for the performance enhancement was an increased enzyme loading. This design is an excellent platform for versatile biosensing applications.


Nanoscience and Nanotechnology