Evidence map›Paper›PMID 38611218›Full record

ArticlePolymers2024

Erythrosine-Dialdehyde Cellulose Nanocrystal Coatings for Antibacterial Paper Packaging.

Shih-Chen Shi, Sing-Wei Ouyang, Dieter Rahmadiawan

Abstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Shih-Chen ShiDepartment of Mechanical Engineering, National Cheng Kung University, No.1, University Road, Tainan 70101, Taiwan.ORCID 0000-0002-4163-2552
Sing-Wei OuyangDepartment of Mechanical Engineering, National Cheng Kung University, No.1, University Road, Tainan 70101, Taiwan.
Dieter RahmadiawanDepartment of Mechanical Engineering, National Cheng Kung University, No.1, University Road, Tainan 70101, Taiwan.ORCID 0000-0002-3301-5407

Funding

National Science and Technology Council 111-2221-E-006-133National Science and Technology Council 111-2221-E-006-145National Science and Technology Council 111-2221-E-006-147-MY2National Science and Technology Council 112-2221-E-006-173
6 · The paper itself

Abstract

Though paper is an environmentally friendly alternative to plastic as a packaging material, it lacks antibacterial properties, and some papers have a low resistance to oil or water. In this study, a multifunctional paper-coating material was developed to reduce the use of plastic packaging and enhance paper performance. Natural cellulose nanocrystals (CNCs) with excellent properties were used as the base material for the coating. The CNCs were functionalized into dialdehyde CNCs (DACNCs) through periodate oxidation. The DACNCs were subsequently complexed using erythrosine as a photosensitizer to form an erythrosine-CNC composite (Ery-DACNCs) with photodynamic inactivation. The Ery-DACNCs achieved inactivations above 90% after 30 min of green light irradiation and above 85% after 60 min of white light irradiation (to simulate real-world lighting conditions), indicating photodynamic inactivation effects. The optimal parameters for a layer-by-layer dip coating of kraft paper with Ery-DACNCs were 4.5-wt% Ery-DACNCs and 15 coating layers. Compared to non-coated kraft paper and polyethylene-coated paper, the Ery-DACNC-coated paper exhibited enhanced mechanical properties (an increase of 28% in bursting strength). More than 90% of the bacteria were inactivated after 40 min of green light irradiation, and more than 80% were inactivated after 60 min of white light irradiation.

Indexed as

biopolymercellulosecircular economyphotodynamic antibacterial

Identifiers

PMID38611218
PMCPMC11013871

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Registered trials

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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.