Back to Search
Start Over
Nonenzymatic Potentiometric Detection of Ascorbic Acid with Porphyrin/ZnO-Functionalized Laser-Induced Graphene as an Electrode of EGFET Sensors.
- Source :
-
ACS omega [ACS Omega] 2024 Feb 22; Vol. 9 (9), pp. 10650-10659. Date of Electronic Publication: 2024 Feb 22 (Print Publication: 2024). - Publication Year :
- 2024
-
Abstract
- Laser-induced graphene (LIG) has emerged as a highly versatile material with significant potential in the development of electrochemical sensors. In this paper, we investigate the use of LIG and LIG functionalized with ZnO and porphyrins-ZnO as the gate electrodes of the extended gate field effect transistors (EGFETs). The resultant sensors exhibit remarkable sensitivity and selectivity, particularly toward ascorbic acid. The intrinsic sensitivity of LIG undergoes a notable enhancement through the incorporation of hybrid organic-inorganic materials. Among the variations tested, the LIG electrode coated with zinc tetraphenylporphyrin-capped ZnO nanoparticles demonstrates superior performance, reaching a limit of detection of approximately 3 nM. Furthermore, the signal ratio for 5 μM ascorbic acid relative to the same concentration of dopamine exceeds 250. The practical applicability of these sensors is demonstrated through the detection of ascorbic acid in real-world samples, specifically in a commercially available food supplement containing l-arginine. Notably, formulations with added vitamin C exhibit signals at least 25 times larger than those without, underscoring the sensors' capability to discern and quantify the presence of ascorbic acid in complex matrices. This research not only highlights the enhanced performance of LIG-based sensors through functionalization but also underscores their potential for practical applications in the analysis of vitamin-rich supplements.<br />Competing Interests: The authors declare no competing financial interest.<br /> (© 2024 The Authors. Published by American Chemical Society.)
Details
- Language :
- English
- ISSN :
- 2470-1343
- Volume :
- 9
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- ACS omega
- Publication Type :
- Academic Journal
- Accession number :
- 38463246
- Full Text :
- https://doi.org/10.1021/acsomega.3c09141