Metal organic frameworks with carbon black for the enhanced electrochemical detection of 2,4,6-trinitrotoluene

检出限 材料科学 X射线光电子能谱 傅里叶变换红外光谱 电化学 炭黑 金属有机骨架 电化学气体传感器 循环伏安法 三硝基甲苯 扫描电子显微镜 分析化学(期刊) 化学工程 电极 化学 爆炸物 吸附 有机化学 物理化学 天然橡胶 色谱法 工程类 复合材料
作者
Shaghraf Javaid,Muhammad Rizwan Azhar,Xinyu Li,Juliette I. Phillips,Tanveer Hussain,Hussein Rasool Abid,Jun Chen,Xiaobo Ji,Debbie S. Silvester
出处
期刊:Materials Today Chemistry [Elsevier BV]
卷期号:34: 101759-101759 被引量:3
标识
DOI:10.1016/j.mtchem.2023.101759
摘要

The sensing of explosives such as 2,4,6-trinitrotoluene (TNT) directly at an explosion site requires a fast, simple and sensitive detection method, to which electrochemical techniques are well suited. Herein, we report an electrochemical sensor material for TNT based on an ammonium hydroxide (NH4OH) sensitized zinc-1,4–benzenedicarboxylate Zn(BDC) metal organic framework (MOF) mixed with carbon black on a glassy carbon electrode. In the solvent modulation mechanism, by merely changing the concentration of NH4OH during synthesis, two Zn(BDC) MOFs with novel morphologies were fabricated via a hydrothermal approach. The as-prepared MOFs were characterized using X-ray powder diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, X-ray photoelectron spectroscopy (XPS) and high-resolution field emission electron microscopy (FESEM) equipped with energy dispersive X-ray spectroscopy (EDS). The different morphologies of the MOFs, and their impact on the performance of the modified electrodes towards the electrochemical detection of TNT was investigated. Under optimum conditions, 0.7–Zn(BDC) demonstrated the best electrochemical response for TNT detection using square wave voltammetry (SWV) with a linear calibration response in the range of 0.3–1.0 μM, a limit of detection (LOD) of 0.042 μM, a limit of quantification (LOQ) of 0.14 μM and a high rate of repeatability. Atomic-scale simulations based on density functional theory authenticated the efficient sensing properties of Zn(BDC) MOF towards TNT. Furthermore, the promising response of the sensors in real sample matrices (tap water and wastewater) was demonstrated, opening new avenues towards the real-time detection of TNT in real environmental samples.
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