
Emerging air-quality challenges increasingly require sensing systems capable of detecting and interpreting volatile chemicals under complex, dynamically changing, and often poorly controlled environmental conditions. Volatile organic compounds and other gaseous pollutants may occur at low concentrations, fluctuate over time and coexist within multicomponent mixtures, making their selective and reliable monitoring particularly demanding. Meeting these challenges requires the coordinated development of selective recognition elements, high-performance sensing materials and robust data-interpretation strategies.
Nature offers highly efficient models for chemical recognition. Biological olfactory systems can identify and discriminate complex volatile mixtures through highly selective molecular interactions, inspiring the development of bio-derived and biomimetic sensing interfaces. In this context, odorant-binding proteins and other biologically derived recognition elements can be engineered as functional sensing layers, combining molecular selectivity, reversibility and room-temperature operation.
Building on this molecular-recognition perspective, advanced nanomaterials can further enhance gas adsorption, surface reactivity and signal transduction. Magnetic nanomaterials offer promising opportunities for the development of high-performance gas-sensing systems, providing tuneable physicochemical properties and new possibilities for the design of responsive sensing interfaces.
The transition from advanced sensing materials to reliable real-world monitoring platforms, however, also requires effective system integration and data interpretation. Sensor arrays, temperature-controlled operation and machine-learning approaches can compensate for the limited selectivity and environmental cross-sensitivity of individual sensors, transforming low-cost sensing elements into more robust and actionable monitoring systems.
Following this progression, the webinar will first examine bioinspired materials for volatile chemical sensing, with particular attention to odorant-binding proteins derived from the black soldier fly for the recognition of decomposition-related VOCs. It will then explore magnetic nanomaterials as potential systems for high-performance gas sensing in air-quality monitoring. Finally, it will address data-driven electronic noses combining MOS sensor arrays, temperature modulation and machine learning for indoor and outdoor VOC monitoring under real-world conditions.
By connecting biological recognition, nanomaterial engineering and data-driven system integration, the webinar will provide a multidisciplinary perspective on the development of selective, low-power and deployable sensing technologies for environmental monitoring, organic-waste valorisation and air-quality assessment.
Date: 7 July 2026
Time: 2:30 pm CEST | 8:30 am EDT | 8:30 pm CST Asia
Webinar ID: 897 9593 1423
Webinar Secretariat: journal.webinar@mdpi.com
Hybrid and Functional Nanomaterials for Next-Generation Air Quality Monitoring
edited by Dr. Antonella Macagnano
Deadline for manuscript submissions: 31 August 2026