Related Experiment Video
Updated: Jul 20, 2026

Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System
Published on: June 13, 2010
A Magnetic-Optical Triple-Mode Lateral Flow Immunoassay for Sensitive and Rapid Detection of Respiratory Adenovirus
Fei Wang1,2, Xiaoyan Li2, Zhining Liu1
1The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, PR China.
Abstract:
Human respiratory adenovirus (ADV) is a highly infectious respiratory virus with potential for pandemics. There are currently no specific drugs to treat ADV worldwide, so early rapid detection of ADV infection is essential. In this study, we developed an innovative magnetic-optical triple-mode lateral flow immunoassay (LFIA) using magnetic quantum dots as immunomarkers. This novel approach addresses the need for rapid and accurate ADV detection, allowing for multimodal quantitative/semiquantitative analysis of magnetic, fluorescent, and visible signals within a mere 15 min. The lower limit of detection (LOD) for magnetic, fluorescent, and visual signals was determined to be 5.6 × 103, 1.2 × 103, and 1.95 × 104 copies/mL, respectively. The detection range for ADV using this approach was 1.2 × 103-5 × 107 copies/mL. Additionally, semiquantitative analysis, which is user-friendly and does not necessitate specialized equipment, was successfully implemented. Notably, seven respiratory viruses showed no cross-reactivity with the generated LFIA test strips. The intrabatch repeatability exhibited a coefficient of variation (CV) of less than 5%, while the interbatch repeatability had a CV of less than 15%. Furthermore, recovery values ranged from 95% to 106.8% for samples analyzed concurrently with dual signals at the same spiking concentration. The assay developed in this study boasts a wide detection range and exceptional sensitivity and specificity. This technique is exceptionally well-suited for on-site rapid detection, with the potential for personal self-testing and early ADV infection diagnosis. Its versatility extends to a broad array of application scenarios.

