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Advances in 2D Materials Based Gas Sensors for Industrial Machine Olfactory Applications.

Peng WuYi LiAijun YangXiangyu TanJifeng ChuYifan ZhangYongxu YanJu TangHongye YuanXiaoxing ZhangSong Xiao
Published in: ACS sensors (2024)
The escalating development and improvement of gas sensing ability in industrial equipment, or "machine olfactory", propels the evolution of gas sensors toward enhanced sensitivity, selectivity, stability, power efficiency, cost-effectiveness, and longevity. Two-dimensional (2D) materials, distinguished by their atomic-thin profile, expansive specific surface area, remarkable mechanical strength, and surface tunability, hold significant potential for addressing the intricate challenges in gas sensing. However, a comprehensive review of 2D materials-based gas sensors for specific industrial applications is absent. This review delves into the recent advances in this field and highlights the potential applications in industrial machine olfaction. The main content encompasses industrial scenario characteristics, fundamental classification, enhancement methods, underlying mechanisms, and diverse gas sensing applications. Additionally, the challenges associated with transitioning 2D material gas sensors from laboratory development to industrialization and commercialization are addressed, and future-looking viewpoints on the evolution of next-generation intelligent gas sensory systems in the industrial sector are prospected.
Keyphrases
  • room temperature
  • wastewater treatment
  • heavy metals
  • carbon dioxide
  • deep learning
  • low cost
  • machine learning
  • risk assessment
  • neural network