Affiliation:
1. SensorLab Chemistry Department University of the Western Cape Robert Sobukwe Road Bellville 7535 South Africa
2. CY LPPI - Laboratory of Physical Chemistry of Polymers and Interfaces CY Cergy Paris Université 5 mail Gay Lussac F-95000 Neuville sur Oise France
3. Physics Department University of the Western Cape Robert Sobukwe Road Bellville South Africa 7535
Abstract
AbstractRapid and precise detection of SARS‐CoV‐2 antibodies is paramount for effective outbreak monitoring and vaccine efficacy assessment. While existing approaches for antibody detection often rely on complex electrochemical immunosensing with nanomaterial functionalization targeting S‐protein antibodies, their limitations in sensitivity and complexity have hindered widespread application. Here, we present a simplistic immunosensing platform designed for the rapid, and precise detection of SARS‐CoV‐2 specific IgG and Nucleocapsid antibodies. Notably, this study marks only the second exploration of SARS‐CoV‐2 N‐protein antibody detection. The platform utilizes traditional self‐assembled monolayers to establish selective bio‐affinity between SARS‐CoV‐2 specific Nucleocapsid antibodies and a gold electrode functionalized with the N‐protein antigen. Interestingly, despite the absence of nanomaterial functionalization, the developed platform achieves sensitivity comparable to existing sensors across a wide detection range (0.025 to 1 ng/mL) with an impressive limit of detection (0.019 ng/mL). The simplicity of the approach, relying solely on immunocomplex reactions, underscores that effective binding efficiency may be achieved in the absence of complex functionalization and determines its affordability, specificity, and high sensitivity. By eliminating the need for additional functionalization steps, the platform offers a streamlined solution for SARS‐CoV‐2 antibody detection and demonstrates the possibility of N‐protein antibody detection as a promising avenue for widespread application in SARS‐CoV‐2 outbreak monitoring and vaccine efficacy assessment particularly in underdeveloped regions.