Issue 9, 2017

A miniature liquid electrode discharge-optical emission spectrometric system integrating microelectrodialysis for potassium screening in serum

Abstract

An automated microelectrodialysis (μED)-liquid electrode discharge (LED)-optical emission spectrometric (OES) system was developed with the aim of potassium screening in serum, especially for a micro-sample volume. Potassium in serum was on-line extracted via a μED process and subsequently introduced into the LED microplasma to perform the optical emission detection at λem 766.5 nm. The optical emission intensity of potassium was measured using a charge-coupled device (CCD) spectrometer for quantitative analysis. A few important parameters governing the extraction of potassium by μED and its detection by LED-OES were investigated. The present system provides an excellent capability for eliminating matrix interference with a protein removal efficiency of >99%, by consuming a serum sample volume of 20 μL for each analysis. The entire analytical process, including sample introduction, pretreatment and detection, takes no more than 90 s. A detection limit of 0.6 mg L−1 was obtained along with a linear range of 2–70 mg L−1 and a RSD value of 4.8% at 5 mg L−1 potassium. The practical applicability of the μED-LED-OES system was demonstrated by the determination of potassium in serum certified reference materials and real human serum samples. The present system offers a potential strategy for screening the variation of the concentration of potassium in patients.

Graphical abstract: A miniature liquid electrode discharge-optical emission spectrometric system integrating microelectrodialysis for potassium screening in serum

Supplementary files

Article information

Article type
Paper
Submitted
29 جمادى الثانية 1438
Accepted
09 شعبان 1438
First published
09 شعبان 1438

J. Anal. At. Spectrom., 2017,32, 1739-1745

A miniature liquid electrode discharge-optical emission spectrometric system integrating microelectrodialysis for potassium screening in serum

S. Liu, Y. Cai, Y. Yu and J. Wang, J. Anal. At. Spectrom., 2017, 32, 1739 DOI: 10.1039/C7JA00111H

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