Advanced Electronic Noses and Tongues Systems for Environmental Monitoring

Dear Colleagues,

Electronic noses and tongues have evolved remarkably over the last three decades, progressing from early laboratory prototypes to sophisticated analytical platforms capable of real-time and in situ environmental monitoring. These bio-inspired multisensor systems, which emulate the human senses of smell and taste through cross-selective sensor arrays, have become indispensable tools for detecting and classifying volatile and liquid-phase compounds in complex natural environments. Their evolution has been accelerated by advances in nanostructured materials, microfabrication, signal conditioning, and machine-learning algorithms, enabling accurate, selective, and adaptive chemical recognition.

This Special Issue seeks to gather recent advances and future perspectives on the design, modeling, and application of advanced electronic nose and tongue systems for environmental and industrial applications. We invite interdisciplinary contributions that integrate materials science, physics, chemistry, and data-driven analytics to build autonomous, low-cost, and intelligent sensing networks capable of operating under real-world conditions.

Recent cutting-edge research explores the use of metal oxides and two-dimensional materials, molecularly imprinted polymers, and photonic or electrochemical architectures, combined with embedded deep learning models for drift compensation, feature extraction, and multisensor data fusion. Integration with IoT infrastructures, robotic platforms, and portable field devices now enables continuous, distributed monitoring of air, water, and soil quality with unprecedented resolution and reliability.

We welcome original research articles, comprehensive reviews, and communications reporting innovative materials, novel transduction mechanisms, AI-enhanced signal processing, and validated field applications in environmental sensing.

Dr. Paulo A. Ribeiro
Prof. Dr. Maria Raposo
Dr. Pedro C. Moura
Guest Editors

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