JOURNAL ARTICLE

Development of an Analytical Method for the Determination of Trace Lead in Lake Water Samples by Flame Atomic Absorption Spectrophotometry after Vortex Assisted‐Stearic Acid Coated Magnetic Nanoparticle Based Extraction.

  • Published In: CLEAN: Soil, Air, Water, 2023, v. 51, n. 2. P. 1 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Serbest, Hakan 3 of 3

Abstract

In the present study, a method is proposed for the determination of lead at trace levels by slotted quartz tube‐flame atomic absorption spectrophotometry (SQT‐FAAS) after preconcentration with stearic acid coated magnetic nanoparticle‐based dispersive solid phase extraction (SA‐MNP‐DSPE). The slotted quartz tube (SQT) is used to enhance the analyte atom residence time in the light path. Stearic acid coated magnetic iron oxide (Fe3O4) nanoparticles, which can be easily collected with an external magnet, are used as adsorbent in the extraction process. The limit of detection (LOD) and the limit of quantitation (LOQ) values of the proposed method are obtained as 0.90 and 2.9 µg L−1, respectively. The method allows high repeatability in a wide linear range between 5.0 and 250 µg L−1, and the relative standard deviation for six replicates is 5.8%. The detection power is enhanced by about 77‐fold compared to the regular flame atomic absorption spectrophotometry (FAAS) system. The method is validated by recovery experiments to four different lake water samples. After the spiking tests, good recovery results are calculated between 97% and 106%. These results show that lead can be detected at low levels in lake water samples with high sensitivity, accuracy, and precision. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:CLEAN: Soil, Air, Water. 2023/02, Vol. 51, Issue 2, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2023
  • ISSN:1863-0650
  • DOI:10.1002/clen.202200229
  • Accession Number:161825411
  • Copyright Statement:Copyright of CLEAN: Soil, Air, Water is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.