Electronic Nose

Electronic noses (e-noses) are artificial olfactory systems designed to detect and identify volatile compounds, mimicking the biological sense of smell. Current research emphasizes improving e-nose accuracy and speed, particularly addressing sensor drift through techniques like unsupervised domain adaptation and advanced feature extraction methods such as those employing neural networks (e.g., LSTM networks) and temporal filtering. Miniaturization and high-speed data processing are also key focus areas, enabling applications ranging from environmental monitoring and industrial process control to food quality assessment and medical diagnostics.