Nanotextured La0.95Ce0.05MnO3/GCE assemblage for ultrasensitive and precise electrochemical detection of arsenic (III) at neutral pH

Arsenic is regarded as a carcinogenic heavy metal that is exceedingly harmful to ecosystems. Protracted exposure to arsenic is extremely threatening to life since it can have major health impacts. The establishment of simplistic, affordable techniques is necessary to identify the existence of arsenic in water and the food supply; and early recognition of residues of activated arsenic is crucially significant. In terms of achieving the above, a reliable strategy for the simultaneous determination of As3+ ion in standard and actual ecological samples was estab-lished. It involved the modification of a glassy carbon electrode with the multilayer deposition of La0.95Ce0.05MnO3 (LCMO) nanostructures which was conveniently prepared by hydrothermal processes, as well as the outstanding electrocatalytic performance and extremely high anti-interference electrochemical sensing of As3+ ion with LCMO at neutral pH media. The various physicochemical approach is performed to investigate the ultrafine nanosized morphological characteristics of LCMO substrate. A sequence of interference assays was conducted to verify the process, and no overt interference from typically conflicting compounds was reported in As3+ion detection. Moreover, LCMO/GCE reveals great repeatability, stability, and reliability. Arsenic identifi-cation possesses a continuous range of 0.1-20 mu molL-1 under optimal settings, with a detection limit of 0.165 mu molL-1 and a sensitivity of 0.356 mu A/mu molL-1. Under optimal scenarios, this electrochemically fabricated nanotextured LCMO/GCE is also suitable for the sensing and assessment of arsenic in a real sample of water. To reliably detect arsenic in the existence of inherent hazardous metals and organics in aqueous matrices, significant attempts are still designed to establish electrode materials and analytical techniques.

Automated summary

Arsenic, a carcinogenic heavy metal, is highly harmful to ecosystems and poses significant health risks. The development of simple and affordable techniques to detect arsenic in water and food, as well as early identification of activated arsenic residues, is crucial. Researchers have established a reliable strategy for the simultaneous detection of As3+ ions in standard and ecological samples. This research has important implications for the prevention and control of arsenic contamination.