Harnessing in Silico Design for Electrochemical Aptasensor Optimization: Detection of Okadaic Acid (OA).

ABSTRACT: The urgent need for advanced analytical tools for environmental monitoring and food safety drives the development of novel biosensing approaches and solutions. A computationally driven workflow for the development of a rapid electrochemical aptasensor for okadaic acid (OA), a critical marine biotoxin, is reported. The core of this strategy is a rational design process, where in silico modeling was employed to optimize the biological recognition element. A 63-nucleotide aptamer was successfully truncated to a highly efficient 31-nucleotide variant. Molecular docking simulations confirmed the high binding affinity of the minimized aptamer and guided the design of the surface immobilization chemistry to ensure robust performance. The fabricated sensor, which utilizes a ferrocene-labeled aptam

SUBMITTER: Vit M 

PROVIDER: S-EPMC12562321 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature