535
Views
14
CrossRef citations to date
0
Altmetric
Atomic Spectroscopy

Determination of Manganese in Coffee and Wastewater Using Deep Eutectic Solvent Based Extraction and Flame Atomic Absorption Spectrometry

, , , &
Pages 979-989 | Received 15 Jun 2020, Accepted 27 Jun 2020, Published online: 08 Jul 2020
 

Abstract

Deep eutectic solvent based liquid phase microextraction was utilized for the preconcentration of manganese in a simple and effective manner. In the developed analytical method, the extraction of manganese was carried out by using 3-[[(2-hydroxyphenyl)imino]methyl]-2-naphthalenol as the ligand, a choline chloride-phenol mixture as the extraction solvent, and tetrahydrofuran as the emulsifier agent. In order to achieve high detection power, all parameters affecting the extraction output such as the buffer (pH 10, 2.0 mL), ligand solution (0.02% (w/v), 1.50 mL), deep eutectic solvent (molar ratio (1:2), 500 µL), tetrahydrofuran (1.0 mL) and instrumental parameters were optimized. Under the optimum conditions, the limit of detection, limit of quantitation, enrichment in detection power and relative standard deviation were determined to be 0.52 µg L−1, 1.72 µg L−1, 92.9-fold, and 2.7%, respectively. For the purpose of characterizing the accuracy in environmental and food samples, the method was successfully applied to wastewater and coffee samples, and the recovery results were shown to be satisfactory.

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 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.