Submitted:
08 December 2025
Posted:
09 December 2025
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Abstract
Keywords:
1. Introduction
2. Fundamentals and Performance of Chemical Sensing Materials
2.1. Carbon-Based Materials: A High-Performance System Featuring Rapid Response and Tunable Microstructures
2.1.1. CNTs
2.1.2. GO
2.1.3. Carbon Black
2.1.4. CQDs
2.1.5. Biochar
2.2. Metal Oxides: A Core Material System for Extreme Environments
2.2.1. ZnO
2.2.2.
2.2.3.
2.2.4.
2.2.5. Insulating Metal Oxides
2.3. Conducting Polymers: Advantages of Structural Order and Conduction Coupling
2.3.1. PANI
2.3.2. PPy
2.3.3. PEDOT:PSS
2.4. Insulating Polymers: Interfacial Modification and Moisture Regulation Mechanisms
2.4.1. PI
2.4.2. PVA
2.4.3. Cellulose
2.4.4. PMMA
2.4.5. PA
2.5. 2D Materials: Highly Responsive and Tunable Platforms for Extreme-Condition Humidity Sensing
2.5.1. TMDs Materials
2.5.2.
2.5.3. MXene Materials
2.6. Composite Materials: Multimodal Mechanisms for Humidity Detection


3. Discussion
4. Future Prospect
- Precise regulation of interfacial water behavior will be a decisive breakthrough for advancing the entire field. The fundamental causes of hysteresis, high-humidity saturation, and irreversible adsorption can almost always be traced to the configurational evolution and asymmetric potential-energy landscape of interfacial water. Therefore, future materials must enable active control over interfacial adsorption energetics and hydrogen-bond dynamics. For example, by constructing reversible hydrogen-bond networks, tuning the polarity and spatial distribution of surface functional groups, and guiding adsorption pathways through interfacial electric-field effects. Such strategies will be essential for achieving truly low-hysteresis, fully reversible, and rapid humidity responses.
- Multiscale structural engineering will become a central strategy for achieving rapid and stable water migration under extreme environmental conditions. In natural systems, water transport is governed by finely orchestrated hierarchical architectures, exemplified by the dendritic fractal networks of leaf veins, the capillary-gradient structures of insect limbs, and the microtextured surfaces found on desert beetles. These biomimetic structural principles offer a broad design space for creating hierarchical channels, capillary pathways, and dual-domain interfaces that facilitate efficient water transport. By integrating such features, materials can effectively suppress water retention in high-humidity or near-saturated environments and achieve controllable adsorption–desorption kinetics.
- The environmental robustness of materials must shift from being an auxiliary consideration to a primary design criterion from the earliest stages of development. Issues such as MXene oxidation, interlayer degradation in TMDCs, and hydration-induced fatigue in polymers collectively indicate that humidity sensing under extreme environments concerns not only the optimization of device performance but also the fundamental survivability of the underlying materials. Future material systems will therefore depend more heavily on chemically and structurally robust strategies, such as engineering hydrophobic–hydrophilic gradient interfaces to regulate water transport into sensitive regions, incorporating ultrathin antioxidant coatings to protect two-dimensional architectures, and designing hybrid rigid–flexible mechanical frameworks to delay structural fatigue. These approaches will be essential for ensuring long-term stability and reliability under harsh environmental conditions.
- Humidity detection mechanisms are expected to evolve from single-channel material responses to multichannel, multimodal, and multiscale integrated sensing systems. In extreme environments, humidity often coexists with variations in temperature, pressure, corrosive species, and electromagnetic radiation, making reliable identification impossible when relying on a single type of signal. Consequently, multimodal sensing will become a key development direction. Its core lies not only in acquiring multiple signals but also in leveraging machine learning to decouple complex response modes, compensate for hysteresis, correct signal drift, and predict interacting environmental factors. Through such approaches, humidity sensing systems will transition from passive response to intelligent interpretation.
- Intelligent and system-level design will become key drivers of future humidity detection in extreme environments. With the rapid advancement of edge computing, AI-assisted sensing, and self-calibration algorithms, humidity sensors are transitioning from simple material-based devices to fully integrated systems that combine materials, algorithms, and hardware architectures. Future sensors will aim to minimize error sources at the material level while maximizing usable signal extraction at the system level, thereby overcoming the intrinsic limitations of individual materials and enabling long-term operation with high precision and high reliability.
Author Contributions
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
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