Issue 8, 2022

Novel nickel trap coupled with electrothermal vaporization for the direct solid-sampling analysis of cadmium in soil

Abstract

In this study, a foamed nickel trap (NT) was first utilized as a gas-phase enrichment (GPE) material to preconcentrate Cd under ambient temperature and then release it by heating. This is the first time that 100% trapping of Cd could be achieved via on-line GPE following electrothermal vaporization (ETV) introduction. The solid-sampling ETV method coupled with NT was thus developed for the direct detection of Cd in soil samples via atomic fluorescence spectrometry (AFS) as a model detector. Due to the gaseous matrix separation and analyte enrichment caused by the NT, the detection limit (LOD) of Cd reached 0.035 ng g−1 for a 20 mg sample size, and the relative standard deviations (RSDs) were within 4% for Cd standards and 6% for real soil samples, respectively, indicating favorable analytical sensitivity and precision. The measured Cd levels were consistent with the certified values of soil certified reference materials (CRMs) and those obtained by microwave digestion inductively coupled plasma mass spectrometry; furthermore, the recoveries were 95–106% for a series of real soil samples. The analysis time could be controlled within 5 min and allowed elimination of the acid digestion process. As a result, the proposed NT is an effective GPE tool with 100% Cd-trapping efficiency and only ∼100 W power consumption, revealing its promising potential for the miniaturization and portability of direct solid-sampling analyzers in the future.

Graphical abstract: Novel nickel trap coupled with electrothermal vaporization for the direct solid-sampling analysis of cadmium in soil

Supplementary files

Article information

Article type
Technical Note
Submitted
25 Marts 2022
Accepted
20 Jūn. 2022
First published
21 Jūn. 2022

J. Anal. At. Spectrom., 2022,37, 1611-1617

Novel nickel trap coupled with electrothermal vaporization for the direct solid-sampling analysis of cadmium in soil

T. Liu, J. Liu, X. Mao, X. Na, Y. Shao and Y. Qian, J. Anal. At. Spectrom., 2022, 37, 1611 DOI: 10.1039/D2JA00106C

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