Early monitoring of histamine and tyramine levels in foodstuffs could protect against several diseases. In the present study, a self-standing copper-cobalt(2-methylimidazole) MOF anchored carbon nanofiber hybrid mat (Cu-Co(2-Meim)MOF@CNF) was prepared for the simultaneous detection and quantification of dopamine and tyramine in cheese and banana samples. As-prepared Cu-Co(2-Meim)MOF@CNF hybrid mats are highly porous with a large surface area, and also possess excellent hydrophilicity, which allows the analyte molecules to easily access the redox-active metal sites of the MOF matrix and subsequently enhance the sensitivity. The functional groups within the MOF matrix can also function as active adsorption sites during electrocatalysis. At the acidic condition (pH = 5.0), the Cu-Co(2-Meim)MOF@CNF exhibited improved catalytic activity and strong electrochemical sensitivity toward dopamine (DA) and tyramine (TY) with faster electron transfer kinetics and significant fouling resistance. The oxidation reactions of dopamine and tyramine at the hybrid electrode were irreversible and diffusion-controlled. The Cu-Co(2-Meim)MOF@CNF/GCE sensor demonstrated a broad linear range from 5 to 800 µM along with a low LOD of 44.2 nM and 52.7 nM for dopamine and tyramine, respectively. The hybrid sensor exhibited excellent anti-interference properties and long-term storage stability for up to 30 days. It is noteworthy that the Cu-Co(2-Meim)MOF@CNF/GCE sensor has demonstrated the capability of detecting dopamine and tyramine in cheese and banana samples, respectively, which would be helpful for food analysis and food safety.

早期监测食品中的组胺和酪胺水平可以预防多种疾病。在本研究中，制备了一种自立式铜钴（2-甲基咪唑）MOF锚定碳纳米纤维杂化垫（Cu-Co（2-Meim）MOF@CNF），用于同时检测和定量奶酪和香蕉样品中的多巴胺和酪胺。所制备的 Cu-Co(2-Meim)MOF@CNF 杂化垫具有高孔隙率和大表面积，并且还具有优异的亲水性，这使得分析物分子能够轻松进入 MOF 基质的氧化还原活性金属位点，从而提高灵敏度。MOF 基质内的官能团还可以在电催化过程中充当活性吸附位点。在酸性条件下（pH=5.0），Cu-Co(2-Meim)MOF@CNF 对多巴胺 (DA) 和酪胺 (TY) 表现出改进的催化活性和强电化学敏感性，具有更快的电子转移动力学和显着的抗污染性。混合电极上多巴胺和酪胺的氧化反应是不可逆的且受扩散控制。Cu-Co(2-Meim)MOF@CNF/GCE 传感器表现出 5 至 800 µM 的宽线性范围，以及多巴胺和酪胺的低 LOD 分别为 44.2 nM 和 52.7 nM。该混合传感器表现出优异的抗干扰性能和长达30天的长期存储稳定性。值得注意的是，Cu-Co(2-Meim)MOF@CNF/GCE传感器已证明能够分别检测奶酪和香蕉样品中的多巴胺和酪胺，这将有助于食品分析和食品安全。