Development of hyaluronic acid-based electroconductive hydrogel as a sensitive non-enzymatic glucose sensor

Herein, a novel hyaluronic acid (HA)-based electroconductive hydrogel with enhanced mechanical properties was developed for the non-enzymatic glucose detection. As the main component of the polymeric network, HA was modified through methacrylation to integrate photocrosslinkable groups into its backbone. Electrical con-ductivity was provided to hydrogel by using two different conductivity sources as the introduction of reduced graphene oxide (rGO) and polyaniline (PANI) to HA-based hydrogel structure. The combination of these con-ductivity sources not only provided the sufficient electrical conductivity (1.58 x10- 5 S/cm) to hydrogels, but also ensured superior mechanical performance in terms of compressive strength (992.1 kPa) and elastic modulus (23.4 kPa) due to the synergistic effect of the rGO and PANI, that are the significant parameters for sensor ap-plications. The electrochemical activity and sensor performance of the HA-based hydrogel were investigated via cyclic voltammetry (CV) and choronoamperometry (CA) methods. The fabricated HA-based hydrogel sensor exhibited high sensitivity as 421.42 mu AmM-1cm-2 and selectivity for glucose with a low detection limit (0.3 mu M). Moreover, it showed excellent long-term stability, reproducibility and anti-interference feature towards uric acid, ascorbic acid and sorbitol. Based on these results it could be stated that the developed HA-based hydrogel sensor containing ternary HA-rGO-PANI formulation for the first time in the literature might be served as a promising potential for the non-enzymatic glucose detection and it also offers a new perspective for fabricating efficient hydrogel-based biosensing systems for future studies.

Automated summary

A novel hyaluronic acid (HA)-based electroconductive hydrogel with enhanced mechanical properties was developed for non-enzymatic glucose detection. The hydrogel achieved electrical conductivity by incorporating reduced graphene oxide (rGO) and polyaniline (PANI) into its structure. The HA-based hydrogel sensor exhibited high sensitivity, selectivity, and stability, making it a promising potential for glucose detection and biosensing systems.