Pressure-Defined Self-Powered Ammonia Sensing Using a 3D Piezoelectric Sponge Architecture
Source abstract
Abstract
Reliable gas monitoring in wearable and confined environments demands sensors that operate continuously under mechanical activity without batteries or external amplification. Here, we report a self-powered ammonia-sensing platform built around a three-dimensional chitosan–DWNT-coated polyurethane sponge sandwiched between electrospun PVDF nanofiber layers. The sponge scaffold (40 ppi, 620–860 μm cell size) provides a gas-permeable 3D conductive network with a high density of amine-rich adsorption sites, while the electrospun PVDF layers (15 wt %, DMF/acetone) generate a stable piezoelectric baseline under cyclic compression through preferential β-phase crystallization. This pressure-defined baseline is continuously modulated by ammonia-induced resistance changes at the chitosan–DWNT interface and can be acquired directly at the microcontroller level without external amplification, which distinguishes this platform from prior self-powered ammonia sensors that rely on external signal conditioning. Ammonia detection yields a near-linear concentration dependence ( R 2 > 0.99) over 0–69 ppm, with a limit of detection of 3.33 ppm, a response time of ∼9 s, and recovery within ∼50 s. The platform is further extended to a threshold-triggered ventilation response, in which the self-powered sensing output automatically activates a miniature fan to accelerate ammonia removal and restore the signal baseline, demonstrating a minimal closed-loop sensing-to-action capability. This work bridges the gap between material-level self-powered sensing and actionable system integration, offering a practical blueprint for autonomous gas monitoring in mechanically active, power-limited environments.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Solar-Powered Water Purification Methods · Gas Sensing Nanomaterials and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Nanobiomedical Science and BK21 NBM Global Research Center for Regenerative Medicine
Dankook University
Institute of Tissue Regeneration Engineering (ITREN)
Mechanobiology Dental Medicine Research Center
Department of Chemistry
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