203
Views
0
CrossRef citations to date
0
Altmetric
Articles

Lanthanum oxide nanoparticles as chemical sensor for direct detection of carboxymethyl cellulose in eye drops

, , , ORCID Icon, , & show all
Pages 295-301 | Received 12 Aug 2021, Accepted 25 Nov 2021, Published online: 23 Mar 2022
 

Abstract

Lanthanum oxide nanoparticles (LONPs) were prepared by the probe sonication method. Various analytical and electrochemical techniques were employed to understand the morphology, crystallinity, and band gap of LONPs. The electrochemical sensing ability of the as synthesized LONPs with the carboxymethyl cellulose material present in the eye drops was investigated. X-ray diffraction (XRD) studies revealed that the NPs exists in a hexagonal lattice with a space group, P321 with a crystallite size ranging between 14 and 17 nm. UV-DRS (diffuse reflectance) spectra was used to arrive at the band gap of 3.54 eV for LONPs. Cyclic voltametric (CV) results presented superior electrochemical properties for LONPs with lower value of ΔEa,c. Carboxymethyl cellulose (CMC) material in eye drops was effectively sensed by LONPs in 0.1 N HCl electrolyte. Electrochemical impedance study corroborated the least charge-transfer resistance value for LONPs, obtained after fitting to the equivalent circuit. The electrochemical behavior confirmed the potential role of LONPs as a promising electrode material for sensing molecule such as CMC.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 674.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.