Âé¶¹ÒùÔº

February 25, 2025

Laser-textured metal surfaces mimic shark skin to combat bacterial biofilms

Inspired by the naturally antimicrobial textures of cicada wings and shark skin, micro- and nanoscale textures at the scale of bacterial cells make it difficult for bacteria to attach. They also change the water-repellent properties of the surface, a key factor for bacterial growth. Credit: Sebastiampillai Raymond
× close
Inspired by the naturally antimicrobial textures of cicada wings and shark skin, micro- and nanoscale textures at the scale of bacterial cells make it difficult for bacteria to attach. They also change the water-repellent properties of the surface, a key factor for bacterial growth. Credit: Sebastiampillai Raymond

Keeping work surfaces clean during meat processing is a challenge. Bacteria from meat can attach, grow, and build up to create a biofilm that is difficult to remove, even on stainless steel surfaces used in industrial facilities. It can also aggregate, clumping together into an invisible mass that is stronger than individual cells, making it harder to kill using food-grade antibacterial surface cleaners.

In a paper published in the Journal of Laser Applications, researchers from the Hopkirk Research Institute, New Zealand Food Safety Science and Research Center, and Applied Technologies Group in New Zealand deliver key insights into a solution that could replace the current practice altogether: instead of constantly battling to prevent bacteria buildup, they created surfaces that stop bacteria from attaching in the first place.

"Antimicrobial interventions currently approved and used commercially have a limited capacity to reduce well-established bacterial biofilms and spores, and complete decontamination is rarely achieved," author Sebastiampillai Raymond said.

Using lasers to etch and alter the surface of the metal, Raymond and his colleagues were able to create micro- or nanoscale textures that make it difficult for microbial cells to attach to the surface. The technique, known as laser-induced surface texturing, also alters the metal's water-repellent properties, a key factor impacting .

"Laser-textured surfaces possess antibacterial properties, because they physically disrupt bacterial adhesion, growth, and proliferation," Raymond said. "These nanoscale and microscale surface textures mimic natural antimicrobial surfaces, such as those found on cicada wings and shark skin."

The researchers discovered the laser-texturing technique is highly effective for carefully controlling and tuning textures on metal. Different bacteria can be targeted using specific textures designed around the shape of the bacterial cells, making it particularly difficult for those cells to attach to the surface.

They are also working on developing machine learning models that could help manufacturers optimize and automate laser surface texturing.

"Compared to some conventional approaches, texturing does not introduce non-native materials or require chemical etchants or sensitizers on treated surfaces," Raymond said.

"This could lower barriers to introducing new technology into a regulated environment and eliminate any risk of potential chemical contamination from the coating."

More information: Antibacterial effectiveness of laser surface textured metal on meat-borne bacteria, Journal of Laser Applications (2025).

Load comments (0)

This article has been reviewed according to Science X's and . have highlighted the following attributes while ensuring the content's credibility:

fact-checked
trusted source
proofread

Get Instant Summarized Text (GIST)

Laser-textured metal surfaces, inspired by shark skin, effectively prevent bacterial biofilm formation by disrupting bacterial adhesion and growth. This technique, which involves creating micro- or nanoscale textures on metal surfaces, enhances water-repellent properties and targets specific bacteria based on cell shape. It offers a chemical-free alternative to conventional methods, potentially easing regulatory adoption and reducing contamination risks.

This summary was automatically generated using LLM.