ArticleScience advances2025
Self-powered and self-calibrated sensing system for real-time environmental monitoring.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Self-Powered Sensors for Environmental Monitoring.Nanomaterials (Basel, Switzerland) · 2026Review
- Piezo-Phototronic PVDF/HfOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Skin-Inspired Flexoelectret Touch Sensor for Self-Powered and Self-Calibrated Tactile Imaging.Research (Washington, D.C.) · 2026Article
- Self-Powered Flexible Sensors: Recent Advances, Technological Breakthroughs, and Application Prospects.Sensors (Basel, Switzerland) · 2025Review
- Nanomaterial Engineered Biosensors and Stimulus-Responsive Platform for Emergency Monitoring and Intelligent Diagnosis.Biosensors · 2025Review
- Advancements and Future Prospects of Energy Harvesting Technology in Power Systems.Micromachines · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Self-powered sensing related to triboelectric nanogenerator (TENG) as a sustainable self-sufficient power source for environmental monitoring by harvesting energy from a living environment is critical in the field of energy and environmental science. However, features of small energy-density and irregularity of environmental energy make it difficult to use directly for real-time environmental monitoring. Here, we report a self-powered and self-calibrated environmental monitoring system (SSEMS) composed of TENG, a calibration resistor, and a sensor network in parallel for real-time temperature and humidity monitoring. The calibration resistor can monitor in real time the irregular output of TENG from the irregularity of rainfalls. SSEMS uses this calibrating signal to calibrate the sensing signal in real time, achieving accurate sensing with an error margin less than 5.0%. We applied SSEMS under waterfalls and rainfalls to monitor in real time the environmental temperature and relative humidity with a sensing error as low as 1.0%. This work promotes self-powering technology one step further to practical applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.