A pioneering electrochemical sensor for the simultaneous determination of nitrofurantoin and furazolidone residues in food and municipal wastewater samples

IF 5.4 Q1 CHEMISTRY, ANALYTICAL Sensing and Bio-Sensing Research Pub Date : 2024-08-01 DOI:10.1016/j.sbsr.2024.100678

Wondimeneh Dubale Adane, Bhagwan Singh Chandravanshi, Merid Tessema

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Abstract

In this study, a pioneering electrochemical sensor was developed for simultaneously determining nitrofurantoin (NFT) and furazolidone (FZD) residues in food and municipal wastewater samples. The sensor was prepared by integrating gold‑silver-alloy nanocoral clusters (Au-Ag-ANCCs) with zinc oxide nanoparticles (ZnO-NPs), carbon paste electrode (CPE) and polyethylene oxide (PEO) nanocomposites. The surface morphology and elemental compositions of Au-Ag-ANCCs/ZnO-NPs-CPE/PEO were characterized by FT-IR, XRD, SEM, EDX, EIS, and CV. The sensor showed exceptional performance over a wide linear range, from 1.0 pM to 250 μM for NFT and 0.9 nM to 360 μM for FZD. The detection and quantification limits were found to be 0.26 pM and 0.88 pM for NFT and 0.023 pM and 0.076 pM for FZD, respectively. In addition, the sensor exhibited excellent repeatability, reproducibility, selectivity, and long-lasting stability. When applied to the detection of AZM and ENF residues in poultry, fish, honey, dairy products and municipal wastewater, it exhibited excellent recoveries of 96.3–102.8% and relative standard deviations between 1.87% and 1.53%. In general, the developed sensor represents a significant advance in the fight against antibiotic residue pollution.

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用于同时测定食品和城市污水样品中硝基呋喃妥因和呋喃唑酮残留量的开创性电化学传感器

本研究开发了一种开创性的电化学传感器，用于同时测定食品和城市污水样品中的硝基呋喃妥因（NFT）和呋喃唑酮（FZD）残留量。该传感器是通过将金银合金纳米珊瑚团簇（Au-Ag-ANCCs）与氧化锌纳米颗粒（ZnO-NPs）、碳浆电极（CPE）和聚环氧乙烷（PEO）纳米复合材料整合在一起制备而成的。傅立叶变换红外光谱、X射线衍射、扫描电子显微镜、乙二胺四乙酸(EDX)、EIS和CV表征了Au-Ag-ANCCs/ZnO-NPs-CPE/PEO的表面形貌和元素组成。该传感器在很宽的线性范围内表现出优异的性能，对 NFT 的线性范围为 1.0 pM 至 250 μM，对 FZD 的线性范围为 0.9 nM 至 360 μM。结果发现，NFT 的检测限和定量限分别为 0.26 pM 和 0.88 pM，FZD 的检测限和定量限分别为 0.023 pM 和 0.076 pM。此外，该传感器还具有出色的重复性、再现性、选择性和持久稳定性。当应用于检测家禽、鱼类、蜂蜜、乳制品和城市污水中的 AZM 和 ENF 残留时，该传感器表现出 96.3-102.8% 的极佳回收率和 1.87% 至 1.53% 的相对标准偏差。总体而言，所开发的传感器在抗生素残留污染方面取得了重大进展。

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来源期刊

Sensing and Bio-Sensing Research Engineering-Electrical and Electronic Engineering

CiteScore

10.70

自引率

3.80%

发文量

审稿时长

87 days

期刊介绍： Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies. The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.