Published May 2021 | Version v1
Journal article

Iodide/metal-organic frameworks (MOF) -mediated signal amplification strategy for the colorimetric detection of H2O2, Cr2O7 2− and H2S

  • 1. College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650092 (China)

Description

Highlights: • The catalytic activity of Cu-MOFs was dramatically enhanced via iodide incorporation. • This new strategy could significantly enhance the sensor sensitivity. • The detection limits are 25, 30, and 0.2 nM, for H2O2, Cr2O72−, and H2S, respectively. • The proposed strategy is about 200-fold lower than those obtained by the unamplified colorimetric assays. The analytical methods based on colorimetric detection of various analytes have attracted intensive interest. However, most of them display relatively low sensitivity. Herein, a novel colorimetric strategy based on iodide/metal-organic frameworks (MOF)-mediated amplification was developed for low-cost, naked-eye detection and quantification of H2O2,Cr2O72−, and H2S. Cu-MOFs could catalyze the oxidation of the colorless peroxidase substrate TMB to produce a blue product. The published researches mainly focused on the immobilization or integration of a macromolecule, such as natural enzymes, to enhance MOFs catalytic abilities. The use of small molecules to improve the catalytic performance of MOFs has rarely reported. Due to the negligible steric hindrance, iodide could easily be adsorbed in the framework pore of MOFs to conduct the synergic catalytic effect, and shows a high catalytic effect. As a result, the catalytic activity of Cu-MOFs was dramatically enhanced, and thus, the nanocatalyst could act as an amplifier system for target detection. The detection limits obtained by the amplified method are 25, 30, and 0.2 nM, respectively, which are about 200-fold lower than that of the unamplified colorimetric assays. The colorimetric strategy developed herein provides a novel system for the detection of low concentrations of analytes in complex biological samples.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.aca.2021.338378

Additional details

Identifiers

DOI
10.1016/j.aca.2021.338378;
PII
S000326702100204X;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
1159
Journal Page Range
vp.
ISSN
0003-2670
CODEN
ACACAM

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.