Evidence map›Paper›PMID 40874467›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Degradable Bioinspired Flier with Aerogel-Based Colorimetric Sensors for Environmental Monitoring.

Gianpaolo Gallo, Ruowen Tu, Carlo Filippeschi, Stefano Mariani, Barbara Mazzolai

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Gianpaolo GalloBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.
Ruowen TuBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.ORCID https://orcid.org/0000-0003-2681-8030
Carlo FilippeschiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.
Stefano MarianiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.ORCID https://orcid.org/0000-0002-8483-7005
Barbara MazzolaiBioinspired Soft Robotics Laboratory, Istituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, Italy.ORCID https://orcid.org/0000-0003-0722-8350

Funding

European Union's Horizon 2020 Research and Innovation Programme 101017940RAISE - Robotics and AI for Socio-economic Empowerment" project and European Union - NextGenerationEU - Italy's National Recovery and Resilience Plan
6 · The paper itself

Abstract

Environmental and distributed monitoring of remote, inaccessible, or polluted areas requires low-maintenance and sustainable solutions. Passive dispersal strategies with (bio)degradable fliers, inspired by plant anemochory, offer an eco-friendly approach to deploy distributed sensors with minimal human intervention. In this work, a degradable flier, inspired by Tipuana tipu samaras, is presented, integrating 3D printed porous cellulose nanocrystal aerogel (CNCa) sensors onto poly(vinyl alcohol) (PVA) wings. The morphology and flight behavior of natural Tipuana tipu samaras are characterized to guide the design and fabrication of the artificial samaras. The fliers resemble the morphometry and aerodynamic performance of natural counterparts. The CNCa sensors provide low mass, high surface area, and fast analyte diffusion, supporting large (≈3 cm

Indexed as

ColorimetryEnvironmental MonitoringCelluloseGelsNanoparticlesPolyvinyl AlcoholCelluloseGelsPolyvinyl Alcoholaerogelammonia sensorbioinspirationcolorimetric sensordegradable flierenvironmental monitoringpH sensor

Identifiers

PMID40874467
PMCPMC13042518

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.