Gao Haifeng, You Junyi, Wu Hongbo, Tian Miaomiao
Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, PR China.
Key Laboratory of Photochemical Biomaterials and Energy Storage Materials, Heilongjiang Province, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, PR China.
Food Chem. 2025 May 1;473:143092. doi: 10.1016/j.foodchem.2025.143092. Epub 2025 Jan 25.
In this study, we designed a molecularly imprinted electrochemical sensor based on the reduced graphene oxide/polydopamine@Mxene (RPM) and FeCu-MOF for the detection of antiviral drug ribavirin (RBV). The RPM composite enhances the active surface area and electron transport capacity of the sensor, and the incorporation of FeCu-MOF can not only further improve the catalytic performance of the material, but also enables the sensor to harness the electrical reduction signal of HO. Furthermore, we developed an optimized molecularly imprinted polymer via density functional theory (DFT) to enhance the sensor's specificity and sensitivity for RBV detection. The sensor demonstrated detection limits as low as 0.053 nmol L and 0.086 nmol L for differential pulse voltammetry (DPV) and current-time (I-t), respectively. The sensor proposed in this paper was applied to the analysis of real food and surface water samples, yielding recovery rates ranging from 98.3 % to 106.7 %, reaching a satisfactory degree.
在本研究中，我们设计了一种基于还原氧化石墨烯/聚多巴胺@MXene（RPM）和铁铜金属有机框架（FeCu-MOF）的分子印迹电化学传感器，用于检测抗病毒药物利巴韦林（RBV）。RPM复合材料增加了传感器的活性表面积和电子传输能力，而FeCu-MOF的加入不仅能进一步提高材料的催化性能，还能使传感器利用HO的电还原信号。此外，我们通过密度泛函理论（DFT）开发了一种优化的分子印迹聚合物，以提高传感器检测RBV的特异性和灵敏度。该传感器在差分脉冲伏安法（DPV）和电流-时间法（I-t）中的检测限分别低至0.053 nmol L和0.086 nmol L。本文提出的传感器应用于实际食品和地表水样品的分析，回收率在98.3%至106.7%之间，达到了令人满意的程度。
