245
Views
15
CrossRef citations to date
0
Altmetric
Extraction

A microextraction method based on precipitation for the simultaneous separation and preconcentration of cadmium and lead before their determination by FAAS: experimental design methodology

, , &
Pages 1721-1729 | Received 13 Dec 2019, Accepted 23 Jun 2020, Published online: 08 Jul 2020
 

ABSTRACT

A simple and rapid separation and preconcentration method based on precipitation combined with flame atomic absorption spectrometry for the determination of trace amounts of cadmium and lead ions has been introduced. Under the optimum conditions, the method exhibited linear dynamic ranges of 5–400 µg/L for cadmium and 8–500 µg/L for lead. The detection limits were 0.96 and 1.71 µg/L and the enhancement factors were 115 and 110 for cadmium and lead, respectively. The results revealed that the presented method is a good technique for the determination of target metal ions in natural water samples.

Novelty statement

The aim of this research is to apply the sensitive, simple, and rapid LLME technique based on the use of dispersive micro-solid phase extraction based on rejection property for the extraction and determination of cadmium and lead in environmental water samples. The hydrophobic property of the chelating agent was used to collect target metal ions. Also, the sediment filtration process was carried out using a cheap column. According to our searches, there is not any report of this application with this method.

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 681.00 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.