Related Experiment Video
Updated: Sep 15, 2026

ELIME (Enzyme Linked Immuno Magnetic Electrochemical) Method for Mycotoxin Detection
Published on: October 23, 2009
Highly sensitive electrochemical immunosensor for alpha-fetoprotein detection based on trimetallic metal-organic
Xuanming Xu1, Yongqi Li2, Peiru Nie1
1National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Key Laboratory of Viral Infectious Diseases, Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China.
Abstract:
Quantitative analysis of alpha-fetoprotein (AFP) in biological samples is essential for early diagnosis, accurate monitoring, and assessment of therapeutic efficacy. We developed a sandwich-type electrochemical biosensor based on trimetallic nanozyme for AFP sensitive detection. The UiO-66-NH2@Au/AgNPs nanozyme was assembled via 11-mercaptoundecanoic acid (MUA) modification, and displayed exceptional peroxidase-like activity, due to its dense catalytic sites and synergistic multimetal effects. Besides, steady-state kinetic experiments were further performed to elucidate the structure-activity relationships of the trimetallic nanozyme. To enhance detection sensitivity, a MoS2/Ni3(HITP)2 composite was employed as the substrate, leveraging its superior electrical conductivity to significantly amplify the biosensor signal. As a result, by determinating the nanozyme-catalyzed current response toward H2O2, the electrochemical platform achieved a wide linear range of 0.075-1000 ng·mL- 1, with a limit of detection (LOD) of 0.05 ng·mL- 1. The practical utility of this method was validated via spiked recovery tests in real samples, yielding an acceptable recovery of 90.98%-109.20%, and relative standard deviations (RSD) below 14.68%. Overall, this sandwich-type strategy combines the rapid response of electrochemical detection with the high specificity of antigen-antibody recognition. Although further optimization and validation are warranted for broader practical applications, the proposed platform demonstrates considerable potential for point-of-care testing and clinical cancer diagnosis.

