Evidence map›Paper›PMID 35528199›Full record

ArticleACS sustainable chemistry & engineering2022

Thermoresponsive Smart Gating Wood Membranes.

Yong Ding, Guido Panzarasa, Sandro Stucki, Ingo Burgert, Tobias Keplinger

Abstract read
In one paragraph

Article in ACS sustainable chemistry & engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Yong DingWood Materials Science, Institute for Building Materials, ETH Zürich, Zürich 8093, Switzerland.ORCID https://orcid.org/0000-0003-2781-5616
Guido PanzarasaWood Materials Science, Institute for Building Materials, ETH Zürich, Zürich 8093, Switzerland.ORCID https://orcid.org/0000-0003-1044-0491
Sandro StuckiWood Materials Science, Institute for Building Materials, ETH Zürich, Zürich 8093, Switzerland.
Ingo BurgertWood Materials Science, Institute for Building Materials, ETH Zürich, Zürich 8093, Switzerland.ORCID https://orcid.org/0000-0003-0028-072X
Tobias KeplingerWood Materials Science, Institute for Building Materials, ETH Zürich, Zürich 8093, Switzerland.ORCID https://orcid.org/0000-0003-0488-6550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart membranes that can open and/or close their pores in a controlled manner by external stimuli possess potential in various applications, such as water flow manipulation, indoor climate regulation, and sensing. The design of smart gating membranes with high flux, immediate response, and mechanical robustness is still an open challenge, limiting their versatility and practical applicability. Inspired by the controlled opening and closure of plant stomata, we have developed a smart gating wood membrane, taking advantage of the unique wood scaffold with its hierarchical porous structure to carry thermoresponsive hydrogel gates. Laser drilling was applied to cut channels in the wood scaffold with well-aligned pores to incorporate the smart gating membranes. In situ polymerization of poly(N-isopropylacrylamide) above its lower critical solution temperature inside the channels resulted in a hydrogel with a heterogeneous microstructure acting as a thermoresponsive gate. The wood-based smart gating membranes exhibited reversible and stable pore opening/closing under heating/cooling stimuli. The achieved rapid response and feasibility of scale-up open the venue for various practical applications. In this work, we demonstrated their potential for indoor light regulation and as a water flow manipulator.

Identifiers

PMID35528199
PMCPMC9066405

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.