The Influence of Material Surface Properties on Initial Bacterial Attachment and Biofilm Formation on Built Environment Surfaces
Kobi TalmaiD, Nathan BossaiD, Evan HankinsoniD, Lijia GaoiD, Aicha El KharrafiD, Mark Robert WiesneriD
Abstract
Biofilms in the built environment (BE) can harbor pathogens and have been linked with negative health outcomes, particularly in hospital environments. The formation of biofilms requires bacterial cell attachment on surfaces, such as hospital plumbing, which can have varying properties, including roughness, wettability, chemistry, and charge. Despite the importance of bacterial attachment to surfaces, the role of multiple surface properties has been minimally investigated. Using seven materials with differing surface characteristics, this work considers the initial attachment of Escherichia coli, Pseudomonas aeruginosa, Bacillus subtilis, and Staphylococcus aureus to investigate the impact of several surface characteristics. Biofilm formation was evaluated to determine the impact of surface characteristics on longer-term attachment. The initial attachment of all bacterial species was not significantly influenced by material surface properties, with similar attachment seen across materials tested. Bacterial cell envelope morphology affected attachment, with Gram-negative species displaying greater attachment than Gram-positive species. Initial attachment was not related to biofilm formation, which was highest on stainless steel surfaces while differences between bacterial species remained.
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In-depth summary
Claude Opus 5.5 · xhigh effort · 8 Nov 2026 · from the full text of version 2 (20 Sept 2026) · CC BY 4.0
Across seven built-environment materials, initial attachment efficiency of four bacteria depended on species (Gram-negative higher than Gram-positive), not material, whereas 24-hour biofilm biomass was highest on stainless steel.
Biofilms in built-environment plumbing, such as hospital sinks, act as pathogen reservoirs, and changing surface properties could be a chemical-free alternative to antimicrobial coatings, which may promote resistance. Earlier studies mostly varied a single surface property in static batch tests that give no kinetic information; here attachment efficiency (α) is measured under flow in packed columns for seven characterized materials and four bacteria.
Key results
SuggestedMaterial had no significant effect on initial attachment efficiency (α) across six polymers and stainless steel. α showed no trend with wettability, roughness or surface charge, and all α values were low.
In a two-way ANOVA (material, organism, interaction), material was not significant for α (Table S.6.1), and plots of α against material properties showed no trend (Figure S.8.1). All α values were below 0.05, although the materials ranged from hydrophilic (SS) to hydrophobic (HDPE, HIPS), in roughness from 50.9 ± 9.9 nm (SS) to 769 ± 474.7 nm (HDPE), and in zeta potential from -7.9 to -18.7 mV. · Effect of Material Surfaces on Initial Bacterial…; Characterization of Material Surface Properties
ShownBacterial species, not material, set initial attachment: both Gram-negative species attached more efficiently than both Gram-positive ones (the authors call it an order of magnitude; pooled values show a smaller gap for some pairs). α did not track cell charge, hydrophobicity or lab vs hospital origin.
Pooled over seven materials, α was 0.029 (E. coli) and 0.026 (P. aeruginosa) vs 0.0056 (B. subtilis) and 0.011 (S. aureus). In the two-way ANOVA the species effect was significant (Table S.6.1). Bonferroni pairwise comparisons separated each Gram-negative species from each Gram-positive one at p ≤ 0.0001 (standard error from 14 measurements). · Effect of Bacterial Cell Properties on Initial…; Figure legends
ShownUnlike initial attachment, 24 h biofilm biomass depended on material. Stainless steel, the smoothest and most hydrophilic surface, carried significantly more biofilm than the plastics. This runs against literature trends that favour rough, hydrophobic surfaces.
Crystal violet assay (absorbance at 585 nm normalized to surface area, triplicates) for E. coli and B. subtilis on all seven materials. Two-way ANOVA found significant species and material effects (Table S.6.3). Bonferroni comparisons ranked SS (roughness 50.9 ± 9.9 nm) above the plastic materials (Table S.6.4). · Material Impacts on Biofilm Formation; Characterization of Material Surface Properties; Evaluation of Biofilm Formation; Figure legends
ShownE. coli exceeded B. subtilis in both attachment and biofilm formation, but the gap was much smaller for biofilm. The authors suggest that weak initial attachment limits B. subtilis biofilm here, even though B. subtilis is usually the stronger biofilm former.
α was 0.029 ± 0.0029 for E. coli vs 0.0056 ± 0.0023 for B. subtilis. The paper states about 6.4-fold higher attachment and 1.7-fold higher biofilm formation for E. coli. The 6.4-fold figure does not match the reported α values. · Material Impacts on Biofilm Formation
SuggestedDextran, used as a stand-in for extracellular polymeric substances (EPS), adsorbed preferentially to stainless steel. The authors propose that this kind of surface conditioning, not initial attachment, drives the material dependence of biofilm.
In an adsorption experiment (Figure S.7.1), dextran adsorption is reported to correlate well with biofilm formation and to favour SS; the main text gives no adsorption values. A second explanation, stress from contact with stainless steel raising EPS output, is proposed but not tested. · Material Impacts on Biofilm Formation; ENVIRONMENTAL IMPLICATIONS
Methods, data and reproducibility
Six polymer pellet types and stainless steel spheres were characterized for wettability, roughness, zeta potential and ATR-FTIR chemistry. α came from colloid filtration theory applied to OD600 breakthrough in packed columns under flow; biofilm came from a 24 h crystal violet assay. Effects were tested by two-way ANOVA with Bonferroni comparisons.
- Escherichia coli K-12, lab-derived Gram-negative model strain · Escherichia coli
- Pseudomonas aeruginosa environmental isolate from a hospital sink P-trap · Pseudomonas aeruginosa
- Bacillus subtilis, lab-derived Gram-positive model strain · Bacillus subtilis · ATCC 1174
- Staphylococcus aureus environmental isolate from a hospital sink basin · Staphylococcus aureus
- Materials: ABS, HDPE, HIPS, PC, PVC and PVDF pre-production pellets plus stainless steel spheres, washed in 70% ethanol · n = seven materials
- Packed-column attachment experiments in EPA Moderately Hard water, 4 species x 7 materials, at 2.95 mL/min · n = duplicate per condition
- Crystal violet biofilm assays in 1/2x R2A at 25°C for 24 h, E. coli and B. subtilis on seven materials · n = triplicate measurements
- Methods & tools
- Attension Theta Flex optical tensiometer (Biolin Scientific), Keyence VK-X3000 laser confocal profilometer, Anton Paar SurPass solid surface zeta potentiometer, Nicolet iS50 FTIR with ATR accessory, Spectragryph, Malvern Zetasizer Nano ZS, Evolution 201 UV-visible spectrophotometer (in-line), Diba Omnifit EZ chromatography column, Aminated 1 µm silica particles (nanoComposix) as α = 1 reference, Crystal violet biofilm assay, SPECTROstar Nano microplate reader, R (two-way ANOVA, Bonferroni correction)
- Reproducibility gaps
- No code or data repository is given; R is used without version. Breakthrough curves, the tracer study, the single-collector efficiency calculation and the statistical tables are only in the Supporting Information.
Limitations (2)
- α is relative to aminated 1 µm silica assumed to attach with α = 1. Each column condition was run in duplicate, so the non-significant material effect may reflect limited statistical power. All surfaces were also negatively charged, a narrow charge range. · noted in this summary
- Biofilm was assessed for two species at one 24 h time point by crystal violet, which measures total biomass including EPS. Of the two explanations for higher biofilm on stainless steel, only EPS adsorption was tested, using dextran as a surrogate. · noted in this summary
Who should read:Read this if you study bacterial adhesion or biofilms on plumbing and other built-environment surfaces and want flow-column attachment efficiencies for four bacteria on seven characterized materials.
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