DNA Characterization through Nanotechnology-Assisted Bioimpedance and Feature Extraction for Artificial Intelligence

Abstract

Detecting Deoxyribonucleic Acids (DNA) through their electrical properties is a technique that has not been fully explored. Developing biosensors for detecting label-free DNA without functionalizing transducer surfaces continues to be a relevant technological challenge. Our research group has reported multi-frequency bioimpedance measurements as a potential technique for estimating concentrations of total DNA free of labeling and functionalization. Post-processing techniques, feature extraction, and Artificial Intelligence (AI) algorithms are required for automatic classification and bioimpedance parameters identification that might be used to detect DNA and its concentration. This article explores multi-frequency bioimpedance measurements assisted with magnetic nanoparticles and post-processing AI feature extraction to correlate characteristical bioimpedance parameters with DNA concentrations and purity. Post-processing estimation of the area under the Cole plot seems a relevant feature to correlate with DNA concentration and purity. The results indicate relevant evidence proposing DNA characterization through nanotechnology-assisted bioimpedance and AI.