Toward Intelligent Gas Sensors
DOI:
https://doi.org/10.64060/jestt.v3i1.1Keywords:
Intelligent Gas Sensors, EditorialAbstract
Gas sensors are evolving from passive detectors into intelligent systems that integrate functional materials, device engineering, and data-driven learning to interpret complex chemical environments. This evolution reflects a broader transition in electronics, in which sensing, computation, and decision-making are increasingly co-designed at the device and system levels. Although advances in nanomaterials and microfabrication have substantially improved sensitivity, power consumption, and form factor, most gas sensors continue to operate as reactive components, delivering electrical outputs without contextual interpretation. As applications shift toward distributed, wearable, and autonomous platforms, this limitation has become increasingly restrictive.
References
1. Hu, C., et al., Chemiresistive gas sensors for intelligent sensing: design strategies, emerg-ing applications and future challenges. Chemical Society Reviews, 2025.
2. Liu, M., et al., From gas sensing to AI–gas sensing. Chemical Communications, 2025.
3. Yamazoe, N., New approaches for improv-ing semiconductor gas sensors. Sensors and actuators B: Chemical, 1991. 5(1-4): p. 7-19.
4. Bag, A. and N.E. Lee, Recent advancements in development of wearable gas sensors. Advanced Materials Technologies, 2021. 6(3): p. 2000883.
5. Afzal, Usama, et al. High-Performance Flexible Gas Sensors Based on W–VO2/1D-Carbon Composites for Real-Time Ammonia Detection in Breath and Environmental Monitoring. ACS sensors 10.11 (2025): 9033-9043.
6. Nasri, A., et al., A smart gas sensor using machine learning algorithms: sensor types based on IED configurations, fabrication techniques, algorithmic approaches, chal-lenges, progress, and limitations: a review. IEEE Sensors Journal, 2023. 23(11): p. 11336-11355.
7. Zong, B., et al., Smart gas sensors: recent developments and future prospective. Nano-Micro Letters, 2025. 17(1): p. 54.
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Copyright (c) 2026 Naveed Ahmad (Author)

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