College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China.
Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan, 430023, China.
Mikrochim Acta. 2024 Mar 19;191(4):210. doi: 10.1007/s00604-024-06281-9.
A ratiometric assay was designed to improve the sensitivity and reliability of electrochemical immunosensors for deoxynivalenol (DON) detection. The indicator signal caused by the Fe-based metal-organic framework nanocomposites loaded with gold nanoparticles and the internal reference signal from the [Fe(CN)] in the electrolyte came together at the immunosensor. When immunoreactivity occurred, the indicator signals decreased as the concentration of DON increased, while the internal reference signals increased slightly. The ratio of the indicator signal to the internal reference signal was available for reproducible and sensitive monitoring of DON. The prepared immunosensor showed excellent performance in the range from 0.5 to 5000 pg mL, and the detection limit was 0.0166 pg mL. The immunosensor achieved satisfactory detection toward DON in spiked and actual samples and has a promising application in the control of DON in grain products.
设计了一种比率测定法，以提高电化学免疫传感器检测脱氧雪腐镰刀菌烯醇（DON）的灵敏度和可靠性。该免疫传感器中，负载金纳米粒子的基于铁的金属有机骨架纳米复合材料引起的指示剂信号与电解质中的[Fe(CN)]63-内参信号相结合。当发生免疫反应时，随着 DON 浓度的增加，指示剂信号降低，而内参信号略有增加。指示剂信号与内参信号的比值可用于重现性和灵敏地监测 DON。制备的免疫传感器在 0.5 至 5000 pg mL 的范围内表现出优异的性能，检测限为 0.0166 pg mL。该免疫传感器对添加和实际样品中的 DON 进行了令人满意的检测，在谷物产品中 DON 的控制方面具有广阔的应用前景。
