Evidence map›Paper›PMID 37745827›Full record

ArticleGlobal challenges (Hoboken, NJ)2023

Toward Photoactive Wallpapers Based on ZnO-Cellulose Nanocomposites.

Naveed Ul Hassan Alvi, Neha Sepat, Samim Sardar, Magnus Berggren, Isak Engquist, Xavier Crispin

Abstract read
In one paragraph

Article in Global challenges (Hoboken, NJ), 2023. 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. 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

6 authors.

Naveed Ul Hassan AlviRISE Research Institutes of Sweden Södra Grytsgatan 4, plan 2 Norrköping 60233 Sweden.ORCID https://orcid.org/0000-0002-2652-3454
Neha SepatLaboratory of Organic Electronics ITN Linköping University Norrköping SE-60174 Sweden.
Samim SardarLaboratory of Organic Electronics ITN Linköping University Norrköping SE-60174 Sweden.
Magnus BerggrenLaboratory of Organic Electronics ITN Linköping University Norrköping SE-60174 Sweden.
Isak EngquistLaboratory of Organic Electronics ITN Linköping University Norrköping SE-60174 Sweden.
Xavier CrispinLaboratory of Organic Electronics ITN Linköping University Norrköping SE-60174 Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quest for eco-friendly materials with anticipated positive impact for sustainability is crucial to achieve the UN sustainable development goals. Classical strategies of composite materials can be applied on novel nanomaterials and green materials. Besides the actual technology and applications also processing and manufacturing methods should be further advanced to make entire technology concepts sustainable. Here, they show an efficient way to combine two low-cost materials, cellulose and zinc oxide (ZnO), to achieve novel functional and "green" materials via paper-making processes. While cellulose is the most abundant and cost-effective organic material extractable from nature. ZnO is cheap and known of its photocatalytic, antibacterial, and UV absorption properties. ZnO nanowires are grown directly onto cellulose fibers in water solutions and then dewatered in a process mimicking existing steps of large-scale papermaking technology. The ZnO NW paper exhibits excellent photo-conducting properties under simulated sunlight with good ON/OFF switching and long-term stability (90 minutes). It also acts as an efficient photocatalyst for hydrogen peroxide (H

Indexed as

anti‐microorganism wallpaperscellulose pulp fiberlarge‐scale fabricationphotocatalytic and photoconductiveZnO nanowires

Identifiers

PMID37745827
PMCPMC10517292

What OpenQuestion holds

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LicenceCC BY
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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.