Smart Pellet System for Early Disease Detection Through Urine and Stool Using Biochemical and Nanotechnological Integration

Abstract

This research proposes a theoretical model for a smart nanoparticle capsule system designed for early disease detection at home through biochemical interaction with urine and feces. The system integrates materials science, nanochemistry, and biochemistry into a compact, self-operating diagnostic unit that reacts to disease biomarkers. These interactions produce a visible color change that allows the user to immediately interpret the healthcondition, such as yellow for diabetes, orange for liver disorders, and red for the possible presence of blood or cancer. The design was developed according to a multilayer model that includes porous nanomembranes, reactive enzymes, and color sensors. Theoretical simulation results show high analytical accuracy and antibacterial efficiency, making this system a promising basis for future experiments and potential commercial applications.