Evidence map›Paper›PMID 41683457›Full record

ArticleMolecules (Basel, Switzerland)2026

Polarization-Controlled Femtosecond Laser Texturing Enables Robust Antifouling Stainless Steel Surfaces.

Eunyeop Ji, Daesik Ko, Chan Hyeon Yang, Vassilia Zorba, Jung Hwan Park, Kyueui Lee, Minok Park

Abstract read
In one paragraph

Article in Molecules (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

7 authors.

Eunyeop JiDepartment of Mechanical and Automotive Engineering, Kongju National University, Cheonan 31080, Republic of Korea.
Daesik KoDepartment of Chemistry, Kyungpook National University, Daegu 41566, Republic of Korea.
Chan Hyeon YangDepartment of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering), Kumoh National Institute of Technology, 61, Daehak-ro, Gumi, Gyeongbuk 39177, Republic of Korea.
Vassilia ZorbaEnergy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Jung Hwan ParkDepartment of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering), Kumoh National Institute of Technology, 61, Daehak-ro, Gumi, Gyeongbuk 39177, Republic of Korea.
Kyueui LeeDepartment of Chemistry, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0002-1622-8806
Minok ParkDepartment of Mechanical and Automotive Engineering, Kongju National University, Cheonan 31080, Republic of Korea.ORCID 0000-0002-5113-3706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we demonstrate precise control over laser-induced periodic surface structures (LIPSS) on stainless steel (SS) using femtosecond (fs) laser processing to suppress bacterial adhesion. We systematically compare the antifouling behavior of laser-textured surfaces with distinct pattern directionalities-linear and circular. Fs laser irradiation with linear polarization produces directional and anisotropic LIPSS, which progressively evolve into more complex hierarchical surface textures as processing conditions vary. In contrast, fs laser irradiation with circular polarization yields isotropic surface morphologies. Despite these morphological differences, the surface wettability remains nearly constant, with contact angles confined to a narrow range of 32.6-36.9°. Bacterial adhesion tests using

Indexed as

antifoulingcontact anglesfemtosecond laser processinglaser-induced periodic surface structures

Identifiers

PMID41683457
PMCPMC12899152

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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.