Generally, our ecosystem is continuously contaminated as a result of anthropogenic activities that form the basis of our comfort in our routine life. Thus, most scientists are engaged in the development of new technologies that can be used in environmental remediation. Herein, highly calcined binary metal oxide (Er2O3@NiO) semiconductor nanocomposite (NC) was synthesized using a classical wet chemical process with the intention to both detect and degrade the toxic chemicals in an aqueous medium using a novel electrochemical current–potential (I–V) approach for the first time. Optical, morphological, and structural properties of the newly synthesized semiconductor NC were also studied in detail using FT-IR, UV/Vis., FESEM-EDS, XPS, BET, EIS, and XRD techniques. Then, a modified glassy carbon electrode (GCE) based on the newly synthesized semiconductor nanocomposite (Er2O3@NiO-NC/Nafion/GCE) as a selective electrochemical sensor was fabricated with the help of 5% ethanolic-Nafion as the conducting polymer binder in order to both detect and electro-hydrolyze toxic chemicals in an aqueous medium. Comparative study showed that this newly developed Er2O3@NiO-NC/Nafion/GCE was found to be very selective against m-tolyl hydrazine (m-Tolyl HDZN) and to have good affinity in the presence of other interfering toxic chemicals. Analytical parameters were also studied in this approach to optimize the newly designed Er2O3@NiO-NC/Nafion/GCE as an efficient and selective m-Tolyl HDZN sensor. Its limit of detection (LOD) at an SNR of 3 was calculated as 0.066 pM over the linear dynamic range (LDR) of our target analyte concentration (0.1 pM–0.1 mM). The limit of quantification (LOQ) and sensitivity were also calculated as 0.22 pM and 14.50 µAµM−1cm−2, respectively. m-Tolyl HDZN is among the toxic chemicals in our ecosystem that have lethal effects in living beings. Therefore, this newly designed electrochemical sensor based on semiconductor nanostructure material offers, for the first time, a cost-effective technique, in addition to long-term stability, that can be used as an alternative for efficiently probing other toxic chemicals in real samples.
Nanoparticles have attracted considerable attention of researchers due to their diverse properties in the fields of catalysis, energy devices, wound healing and drug delivery systems . Synthesis of nanoparticles using plants and microbial extract is a green approach due to easy handling, rapidity and cost-effectiveness. This article reported a simple and green method of zinc oxide nanoparticles (ZnO-NPs) synthesis using Camellia sinensis leaves extract as reducing agent. State-of-the-art techniques were utilized for the characterization and measure the potential applications of ZnO-NPs. FTIR and SEM analysis were performed to confirm the nature of bonding and morphology of NPs. XRD analysis confirmed the hexagonal wurtzite structure and crystallite size (34 nm) of ZnONPs. EDX analysis was performed to check the purity of NPs. Energy band gap of valence band and conduction band was found 3.278 eV using UV/Visible spectrophotometry. Purified ZnO-NPs were utilized to determine the photocatalytic potential for degradation of hazardous dye (methylene blue) at λmax of 668 nm under irradiation of sunlight. The results indicated ∼92% photodecomposition of dye after 110 min of sunlight irradiation. Moreover, ZnO-NPs also revealed the antibacterial potential, having better inhibition power against gram-negative bacterial strains.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.