Return
Multilayer Ag/AlPO4/graphene/WS2/MoS2/black phosphorus surface plasmon resonance biosensor for highly sensitive COVID-19 antigen and amino acid detection with machine learning-assisted performance validation
P
P
U
A
H
DOI:10.1016/j.mtadv.2026.100900.png)
Abstract
En 中文
Rapid, sensitive, and reliable biomolecular detection is essential for screening, early disease detection, and point-of-care diagnostics, while conventional analytical techniques often require complex instrumentation and time-consuming procedures. This study proposes a multilayer surface plasmon resonance (SPR) biosensor based on the Kretschmann configuration for COVID-19 viral antigen and amino acid detection. The proposed architecture incorporates silver (Ag), aluminum phosphate (AlPO4), graphene, tungsten disulfide (WS2), molybdenum disulfide (MoS2), and black phosphorus (BP) on a BK7 prism to enhance plasmonic coupling, light–matter interaction, and sensing stability. The proposed biosensor was numerically evaluated using COMSOL Multiphysics to assess its sensing performance for both COVID-19 viral antigens and amino acids. For COVID-19 detection, the optimized sensor achieved an angular sensitivity of 320°/RIU with a corresponding figure of merit (FOM) of 86.486 RIU−1. In the case of amino acid sensing, the sensor exhibited significantly enhanced performance, reaching a maximum sensitivity of 766.667°/RIU and an FOM of 123.656 RIU−1. Random Forest Regression achieved R2 > 0.998, confirming excellent predictive accuracy. These results highlight the proposed biosensor as a promising platform for rapid screening, early disease detection, and real-time biomedical and biochemical sensing applications.
Keywords:
Surface plasmon resonance
COVID-19 detection
Amino acid sensing
2D materials
Black phosphorus
Multilayer biosensor
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
8
Papers:
1.4K
Citations:
4.2K
