Taguchi optimization of CPTES chemistry for photonic crystal-based biosensors: Detection of anti-SARS-CoV-2 antibodies in human serum

Abstract

Surface functionalization is a pivotal step in the development of biosensors, as it directly influences the immobilization efficiency of biological recognition elements and, consequently, the overall performance of the biosensing platforms. In this study, we employed the Taguchi method to systematically optimize the functionalization parameters of a silicon oxide surface using an organosilane compound. The biosensing platform is based on a one-dimensional photonic crystal structure capable of sustaining Bloch surface waves, which enable highly sensitive optical detection. The use of the Taguchi orthogonal array design allowed us to efficiently explore a limited and representative set of parameter combinations, significantly reducing experimental complexity. Once the optimal functionalization conditions were identified, the biosensors were applied to the analysis of human serum samples (diluted 1:50) collected from both COVID-19 patients and healthy individuals. The system demonstrated the ability to specifically detect IgM antibodies related to SARS-CoV-2 virus, which are typically present in trace amounts. This work presents the first Taguchi-based optimization of a surface functionalization strategy via label-free molecular interactions for biosensing. The approach provides a platform for both optimization and sensitive detection of clinically relevant biomarkers, with clear diagnostic potential.