Evidence map›Paper›PMID 42654709›Full record

ArticleMaterials (Basel, Switzerland)2026

Deodorizing Performance of Modified Polyester-Fiber Seamless Knitted Fabrics.

Yani Cai, Jiaying Liu, Miao Su, Zimin Jin

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. 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

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

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

4 authors.

Yani CaiCollege of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou 310018, China.
Jiaying LiuCollege of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou 310018, China.
Miao SuCollege of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0001-9724-6047
Zimin JinCollege of Textile Science and Engineering (International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0003-2882-8267

Funding

Zhejiang Bangjie Digital Knitting Co., Ltd 25200597-J
6 · The paper itself

Abstract

Bacterial decomposition of sweat produces odors affecting close-fitting garment comfort. This study selected five polyester filament types: coffee carbon polyester filament (CC-PET), bamboo charcoal polyester filament (BC-PET), oyster shell polyester filament (OS-PET), graphene polyester filament (GR-PET), and conventional polyester filament (C-PET). These four yarns exemplify three mainstream deodorizing mechanisms: BC-PET relies on physical adsorption through its porous structure; CC-PET combines adsorption with antibacterial moisture management to suppress odor at the source; GR-PET and OS-PET inhibit bacteria via reactive radicals from oxygen-containing groups and calcium oxide, respectively. Three structures were tested: weft flat knit, 1 × 1 rib, and 1 + 3 false rib. 1 + 1 rib and 1 + 3 false rib differ markedly in elasticity, thickness, and hand. Plain jersey is smooth, soft, and breathable with good extensibility. 1 + 1 rib delivers superior transverse elasticity and dimensional stability. 1 + 3 false rib is loftier and stiffer with enhanced shape retention and thermal insulation. Fifteen specimens were knitted on a seamless circular machine and evaluated using ammonia adsorption rate and acetic acid adsorption rate. Results show that fiber type significantly influences deodorizing performance, with the graphene polyester filament with the 1 + 3 false rib structure achieving the best adsorption for both gases. This provides a theoretical foundation for deodorizing functional fabric development.

Indexed as

deodorizing functionfunctional textile fibersmodified polyester fiberseamless knitted fabricstructure of the fabric

Identifiers

PMID42654709
PMCPMC13514985

What OpenQuestion holds

Textmetadata
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.