Issue 56, 2019

Paper-based microfluidic devices based on 3D network polymer hydrogel for the determination of glucose in human whole blood

Abstract

In this study, optical microfluidic paper analytical devices (μPADs) for glucose detection from whole blood samples with a small sample volume (2 μL) have been developed on a single paper. In the proposed method, a mushroom-shaped analytical device contains a sample inlet zone and a detection zone. When blood is dripped onto the inlet region of a μPAD, the plasma diffuses to the detection region. The detection region is implanted with a metallic three-dimensional (3D) polymer hydrogel vehicle. The gel vehicle consists of a copper complex that responds to oxygen changes and glucose oxidase (GOx) immobilized inside the gel as a bioactivity preservative. The phosphorescence of the copper complex is enhanced by oxygen consumed by detection of glucose with a limit of detection (S/N = 3) of 0.44 mM, and the total analysis of the sample is completed within 1 min. The validity of the proposed research is demonstrated using control samples and real-world whole blood samples of glucose concentrations ranging from 3 to 200 mM, and the detection results are shown to be in agreement with those obtained using a glucometer. Attaining a simple device for analysing glucose in human whole blood without any pretreatment procedures and having a broad sensing range while consuming a small sample volume remain challenging; thus, our new analytical device is of great interest.

Graphical abstract: Paper-based microfluidic devices based on 3D network polymer hydrogel for the determination of glucose in human whole blood

Supplementary files

Article information

Article type
Paper
Submitted
07 Jun 2019
Accepted
06 Oct 2019
First published
10 Oct 2019
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2019,9, 32367-32374

Paper-based microfluidic devices based on 3D network polymer hydrogel for the determination of glucose in human whole blood

R. He, H. Tseng, H. Lee, Y. Liu, I. O. Koshevoy, S. Pan and M. Ho, RSC Adv., 2019, 9, 32367 DOI: 10.1039/C9RA04278D

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