Issue 2, 2024

Ion imprinted polymers integrated into a multi-functional microfluidic paper-based analytical device for trace cadmium detection in water

Abstract

A novel multi-functional microfluidic paper-based analytical device (μPAD) integrated with ion imprinted polymers (IIPs) was proposed for specific, portable and low-cost detection of cadmium (Cd(II)) in water. The IIP was grafted on paper and integrated into the μPAD for separation of Cd(II) through multi-layer design. The paper-based screen printed carbon electrode (pSPCE) modified with reduced graphene oxide was fabricated and combined with the μPAD for electrochemical sensing of the separated Cd(II). Reduced graphene oxide (rGO) was prepared via electroreduction on the working electrode surface of the pSPCE (rGO/pSPCE), which provided a sensitization effect with an improved signal for Cd(II) detection. The μPAD developed with the integrated IIP and combined with rGO/pSPCE is able to detect Cd(II) with a linear range from 1 ng ml−1 to 100 ng ml−1 and a detection limit of 0.05 ng ml−1. The accuracy of this μPAD was evaluated with spiked real water samples and compared with that of the inductively coupled plasma mass spectrometry (ICP-MS) method, from which the recovery values ranged from 96.5% to 114.2% with RSDs <10% between the two methods. This μPAD demonstrated its advantages of low-cost, portability, and suitability for highly sensitive detection of Cd(II), making it a valuable tool for on-site analysis.

Graphical abstract: Ion imprinted polymers integrated into a multi-functional microfluidic paper-based analytical device for trace cadmium detection in water

Supplementary files

Article information

Article type
Paper
Submitted
10 Oct 2023
Accepted
19 Nov 2023
First published
21 Nov 2023

Anal. Methods, 2024,16, 179-188

Ion imprinted polymers integrated into a multi-functional microfluidic paper-based analytical device for trace cadmium detection in water

J. Hu, L. Wang, Y. Song, Y. Li, Y. Shen, G. Gao, L. Qin, J. Wu and A. Mulchandani, Anal. Methods, 2024, 16, 179 DOI: 10.1039/D3AY01787G

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