用于食品和生物样品中硝基呋喃酮类药物高灵敏度电化学检测的新型二维钴金属-有机框架的设计与研究

IF 4.7 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Materials Advances Pub Date : 2025-01-14 DOI:10.1039/D4MA01152J
T. Leelasree and Himanshu Aggarwal
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引用次数: 0

摘要

抗生素污染对全球健康和生态系统构成重大威胁。对食品和生物样品中微量抗生素的检测要求很高。因此,迫切需要具有实时监测能力的快速敏感传感器来应对这一挑战。在这方面,多孔材料,如具有独特和可定制性能的金属有机框架(mof),可以作为检测目标分析物的高灵敏度传感器。本文设计和研究了一种新的二维钴MOF (2D-Co MOF),用于检测硝基呋喃类抗生素硝基呋喃酮(NFZ)。2D-Co MOF传感器在检测NFZ方面表现出卓越的灵敏度,检测限非常低,仅为0.04 μM。MOF系统在潜在干扰物存在的情况下也表现出对NFZ极好的选择性,因此可以作为检测NFZ的有效传感器。此外,该传感器具有出色的可靠性和稳定性。为了进一步证明MOF传感器的实用性,我们探索了MOF传感器用于食品和生物样品中NFZ药物残留的检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Design and investigation of a new two-dimensional cobalt metal–organic framework for highly sensitive electrochemical detection of the nitrofurazone drug in food and biological samples†

Antibiotic pollution poses a significant threat to global health and ecosystems. It is highly demanding to detect the trace amounts of antibiotics in food and biological samples. Thus, there is a critical need for rapid and sensitive sensors with real-time monitoring capabilities to address this challenge. In this regard, porous materials such as metal–organic frameworks (MOFs) with unique and tailorable properties can serve as highly sensitive sensors for the detection of targeted analytes. Here, a new two-dimensional cobalt MOF (2D-Co MOF) has been designed and studied for the detection of nitrofurazone (NFZ), a nitrofuran class antibiotic. The 2D-Co MOF sensor demonstrates exceptional sensitivity in detecting NFZ, achieving a remarkably low detection limit of 0.04 μM. The MOF system also displayed excellent selectivity towards NFZ in the presence of potential interferants, thus acting as a potent sensor for the detection of NFZ. Additionally, the sensor exhibits excellent reliability and stability. To further demonstrate the practical applicability, the MOF sensor has been explored for the detection of NFZ drug residues in food and biological samples.

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来源期刊
Materials Advances
Materials Advances MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
7.60
自引率
2.00%
发文量
665
审稿时长
5 weeks
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