Evidence map›Paper›PMID 41624760›Full record

ArticleNature reviews. Materials2026

Materials Advances for Distributed Environmental Sensor Networks at Scale.

Kenneth E Madsen, Matthew T Flavin, John A Rogers

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Ecosystem-Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kenneth E MadsenQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Matthew T FlavinSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta GA, USA.
John A RogersQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
TRAINING GRANT IN SLEEP RESEARCHT32HL007909 · NHLBI · NORTHWESTERN UNIVERSITY · PI FRED W TUREK, Phyllis C. Zee · 1998 to 2026
$9.2M
NHLBI NIH HHS T32 HL007909NIEHS NIH HHS P30 ES019776
6 · The paper itself

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

PMID41624760
PMCPMC12854210

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.