ArticleNature reviews. Materials2026
Materials Advances for Distributed Environmental Sensor Networks at Scale.
Article in Nature reviews. Materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Intelligent chemical sensors: learning-enabled platforms for adaptive chemical detection.RSC advances · 2026Review
- Liquid Crystal Elastomers for Adaptive Intelligent Systems: From Molecular Design to Multifunctional Applications.Angewandte Chemie (International ed. in English) · 2026Review
- Illuminating the Interface: In Situ Optical Insights Into Two-Electron ORR Pathways for HAdvanced materials (Deerfield Beach, Fla.) · 2026Review
- Optical maneuvering of dandelion-inspired fliers with vortex-enabled stability.Science advances · 2026Article
- Ecosystem technology (ecotech): Harnessing natural processes to address global challenges.Science advances · 2026Review
- Ultrathin seed wing with heterogeneous structures for highly efficient dispersal of African tulip tree.National science review · 2026Article
- Ecosystem-Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Distributed multitudes of bio-inspired, biodegradable Lagrangian sensors for environmental sustainability.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Historic and ongoing efforts in ecology and environmental science have highlighted the pressing need to monitor the health, sustainability, and productivity of global and local ecosystems. Interest in these areas reflects a need to both determine the suitability of environments to support human activity (settlement, agriculture, industry) and to evaluate the impacts of such anthropogenic action. Of interest are chemical, biological, and physical factors which reduce ecosystem viability due to human intervention. Evaluating these factors, and their impact on global health, ecological stability, and resource availability demands improvements to existing environmental sensing technologies. Current methods to quantify chemical pollutants, biological factors, and deleterious physical conditions affecting target ecosystems suffer from lack of automation and narrow spatiotemporal range. Recent advances in materials science, chemistry, electronics, and robotics offer solutions to this problem. A vision emerges for fully autonomous, networked, and ecoresorbable sensing systems that can be deployed over large aerial, terrestrial, and aquatic environments. This Review describes ongoing efforts in these areas, focusing on materials advances supporting the accurate quantification of environmental factors with apparatus that accommodates full or partial device resorption. Discussion begins with an overview of hazards affecting global ecosystems, followed by a description of existing detection methods to quantify their severity. We proceed with an exploration of existing and developing technologies affecting sensor dispersion, motility, communication, and power. Finally, we describe exciting recent efforts in the development of environmentally degradable materials that could prove beneficial in the realization of massively distributed (millions of individual sensors) transient sensor networks.
Identifiers
What OpenQuestion holds
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.