Evidence map›Paper›PMID 39513777›Full record

ArticleNanomaterials (Basel, Switzerland)2024

Organic-Inorganic Hybridization of Silkworm Cocoon Filaments Using Nano Pastes of Silica-Phosphate-M (M = Cu, Fe, or Al).

I Wayan Karyasa, Enike Dwi Kusumawati, Retno Agustarini, Lincah Andadari, Herman Sari

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

I Wayan KaryasaDepartment of Chemistry, Faculty of Mathematic and Natural Sciences, Universitas Pendidikan Ganesha, Buleleng 81116, Bali, Indonesia.
Enike Dwi KusumawatiFaculty of Animal Husbandry, Universitas PGRI Kanjuruhan Malang, Malang 65148, Jawa Timur, Indonesia.ORCID 0000-0002-0154-6721
Retno AgustariniCenter for Applied Zoology, Badan Riset dan Inovasi Nasional, Jakarta 10340, Jakarta Pusat, Indonesia.ORCID 0000-0002-4258-5663
Lincah AndadariCenter for Applied Zoology, Badan Riset dan Inovasi Nasional, Jakarta 10340, Jakarta Pusat, Indonesia.
Herman SariCenter for Applied Zoology, Badan Riset dan Inovasi Nasional, Jakarta 10340, Jakarta Pusat, Indonesia.

Funding

Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia 050/E5/PG.02.00.PL/2023 and 081/E5/PG.02.00.PL/2024.
6 · The paper itself

Abstract

Inorganic-organic hybrid biomaterials have recently attracted much attention because of their widespread use. Silkworm cocoon filaments resulting from sericulture as prospective nanobiomaterials need to be improved, and their properties need to be used for broader purposes. This study was aimed at investigating methods for siliconization of silkworm cocoon filaments and characterizing their cocoon filament properties in terms of their yarn quality, natural dyeing, and antibacterial properties. Three methods of hybridization processes were used in this experiment, namely, in situ natural dyeing of silk yarns while silk filaments were spined, feed engineering through spraying the mulberry leaves with natural dyes and silica-phosphate-M (M = Cu, Fe, or Al) nano pastes, and a combination of both methods. The resulting cocoon filaments were characterized by their siliconization of filament fibers by using FTIR, XRD, and SEM-EDS methods. The yarn tensile strength, color quality, color fastness properties affected by the siliconization of silk filament fibers, and antibacterial properties were also investigated. Results showed that the combination method produced better siliconization of silk fibers, and, consequently, the better siliconization of silk fibers produced better natural dyeing as well as antibacterial properties of their resulting silk yarns.

Indexed as

antibacterialnano pastesnatural dyeingsiliconizationsilk fiber

Identifiers

PMID39513777
PMCPMC11547458

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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.