Carbon Nanosheets Infused with Gold Nanoparticles as an Ultrasensitive Nose for Electrochemical Arsenic Sensing.
Omnarayan AgrawalKirti SaxenaUtkarsh JainNidhi ChauhanHitesh Kumar SharmaMohammad BalalSudipta Roy BarmanSusmita DasMonalisa MukherjeePublished in: ACS omega (2023)
Herein, we introduce an eco-friendly electrochemical sensor based on melamine-enriched nitrogen-doped carbon nanosheets decorated with gold nanoparticles (Au-CNSm) for arsenic sensing. An extremely facile, low-toxicity, biocompatible, and affordable hydrothermal technique was adopted for the synthesis of the Au-CNSm nanocomposite. The Au-CNSm-integrated sensing platform was optimized for electrode composition by cyclic voltammetry (CV). Owing to the synergistic effects of melamine-enriched carbon nanosheets (CNSm) and gold nanoparticles (AuNPs), the anodic peak current increased in the Au-CNSm-modified sensing electrode as compared to the CNSm-decorated platform. A wide linear range of 0.0001-100 μM and a low detection limit of 0.0001 μM were obtained. The visual signals can be measured at a very minute concentration of 0.0001 μM (0.1 ppb) on a screen-printed carbon electrode (SPCE) modified with Au-CNSm. Hence, this electrode system clearly outperformed the previously reported studies in terms of linear range, limit of detection (LOD), and electrocatalytic activity for arsenic sensing. Interestingly, the fabricated biosensor can be developed as a point-of-care device for real-time environmental monitoring for public safety. Henceforth, owing to exceptional attributes such as portability, selectivity, and sensitivity, this device offers great promise in modeling a revolutionary new class of electrochemical sensing platforms for an ultrasensitive and reliable detection strategy for arsenite (As(III)).
Keyphrases
- reduced graphene oxide
- gold nanoparticles
- label free
- drinking water
- carbon nanotubes
- loop mediated isothermal amplification
- heavy metals
- mental health
- emergency department
- risk assessment
- sensitive detection
- machine learning
- oxidative stress
- climate change
- drug delivery
- drug induced
- artificial intelligence
- human health
- drug release
- anaerobic digestion
- metal organic framework