237
Views
5
CrossRef citations to date
0
Altmetric
Nanotechnology

Preparation of Copper Oxide Nanoparticles as a Novel Adsorbent for the Isolation of Tartaric Acid

, , &
Pages 2113-2125 | Received 21 Sep 2020, Accepted 22 Oct 2020, Published online: 10 Nov 2020
 

Abstract

Recently metal nanoparticles have become increasingly attractive adsorbents for the isolation of various compounds. In this regard, this investigation aims to evaluate the removal performance of copper oxide (CuO) nanoparticles as a novel adsorbent for tartaric acid from aqueous solution. For this aim, this study presents the preparation, characterization, and adsorption properties of CuO nanoparticles for the isolation of tartaric acid. CuO nanoparticles were synthesized by utilizing a simple procedure and characterized by Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and Brunauer–Emmett–Teller (BET) surface area. Afterwards, the removal properties of CuO nanoparticles were assessed under various adsorption conditions. CuO nanoparticles exhibited the highest removal performance with a higher adsorption capacity value of 619.23 ± 2.08 mg g−1. The Freundlich isotherm model was achieved to be the most accurate model with an R2 value of 0.9533. Moreover, the pseudo-second order model was the most favorable to the kinetic measurements with an R2 value of 0.9967. The results obtained in this study indicate that CuO nanoparticles have good removal properties for tartaric acid and may be employed as an efficient novel adsorbent for its isolation from the aqueous solution and wastewater.

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 768.00 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.