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Proceeding Paper

Femtosecond Laser Micro- and Nanostructuring of Aluminium Moulds for Durable Superhydrophobic PDMS Surfaces †

by
Stefania Caragnano
1,2,*,
Raffaele De Palo
1,
Felice Alberto Sfregola
1,2,
Caterina Gaudiuso
2,
Francesco Paolo Mezzapesa
2,
Pietro Patimisco
1,3,
Antonio Ancona
1,2 and
Annalisa Volpe
1,2
1
Dipartimento Interuniversitario di Fisica and Politecnico of Bari, Via Amendola 173, 70126 Bari, Italy
2
Institute for Photonics and Nanotechnologies, CNR-IFN, via Amendola 122/D, 70126 Bari, Italy
3
PolySense Innovations srl, Via Amendola 173, 70126 Bari, Italy
*
Author to whom correspondence should be addressed.
Presented at the 4th International Online Conference on Materials, 3–6 November 2025; Available online: https://sciforum.net/event/IOCM2025.
Mater. Proc. 2025, 26(1), 2; https://doi.org/10.3390/materproc2025026002
Published: 22 December 2025
(This article belongs to the Proceedings of The 4th International Online Conference on Materials)

Abstract

Surface functionalisation of polymers is essential for enhancing properties such as wettability and mechanical resistance. This study presents a scalable, coating-free approach to fabricate hydrophobic and superhydrophobic Polydimethylsiloxane (PDMS) surfaces. Aluminium (AA2024) moulds were microstructured using a TruMicro femtosecond laser system to generate grid patterns with controlled hatch distances and depths, as well as laser-induced periodic surface structures (LIPSSs). These features were accurately replicated onto PDMS, as confirmed by scanning electron miscoscopy (SEM) and profilometry. Contact angle measurements showed a marked increase in hydrophobicity, reaching superhydrophobicity for optimised parameters, with surface stability maintained over four months without degradation.

1. Introduction

Engineering surface properties to control wettability is key for optimising material performances in applications such as microfluidics, self-cleaning coatings, and biosensing. Polydimethylsiloxane (PDMS) is particularly valued for its flexibility, optical transparency, and biocompatibility [1]. Among the various surface wettability modification methods, moulding and replication represent an effective strategy to tailor PDMS surface properties, ensuring high reproducibility, uniformity, and scalability while avoiding complex post-processing or hazardous chemicals [2]. However, this approach requires the fabrication of structured moulds, which can be time-consuming and resource-intensive when produced through conventional methods such as soft lithography [3]. To overcome these drawbacks, femtosecond laser (fs-laser) micromachining offers a clean, flexible, and high-precision technique for micro- and nanostructuring of a wide range of materials, including metals [4,5], polymers [6,7], and crystalline materials [8,9,10]. In this work, aluminium moulds with controlled textures were fabricated by femtosecond laser texturing and replicated on PDMS. The fabricated surfaces were analysed using scanning electron microscopy (SEM) and profilometry to evaluate the reproducibility efficiency, while wettability was assessed via static contact angle measurements to study the influence of surface geometry parameters. Finally, the long-term stability of the surfaces was analysed over a 4-month period.

2. Materials and Methods

AA2024 aluminium sheets (5 × 5 × 0.1 cm3) were used as mould substrates, cleaned in isopropyl alcohol before processing. Surface texturing was carried out using a TruMicro Femto laser system Trumpf GmbH, Ditzingen, Germany (1030 nm, 900 fs, 200 kHz, 0.8 µJ), equipped with a galvanometric scanner and a 100 mm telecentric lens. Grid patterns were fabricated by varying the hatch distance (dₕ = 5–1500 µm) and the number of scans (Ns = 1, 5, 30, 40), while laser-induced periodic surface structures (LIPSSs) were generated under parallel line hatch, one scan and fixed hatch distance (30 µm).
PDMS replicas were produced using the Sylgard 184 kit (10:1 ratio), degassed, poured onto the laser-textured aluminium moulds, and cured at 60 °C for 3 h before demoulding. Surface morphology was characterised by SEM (ZEISS GeminiSEM 480, Carl Zeiss Microscopy Deutschland GmbH (ZEISS), Oberkochen, Germany) and profilometry (Bruker Contour x100, Bruker Corporation Billerica (MA), USA).
Replication efficiency was evaluated by comparing the key geometrical parameters between the aluminium moulds and the corresponding PDMS replicas. For grid structures, it was quantified by comparing the lateral feature dimensions measured at half-depth on the mould and half-height on the replica. For uniformly textured surfaces, replication was assessed through roughness analysis, while for LIPSS-patterned samples, the surface period was used as the reference parameter. Relative replication errors were obtained by repeating each measurement three times at different locations on the same surface. The reported error bars correspond to the weighted standard deviation derived from this measurement set.
Wettability was assessed via static contact angle measurements using a DataPhysics OCA25 goniometer (DataPhysics Instruments GmbH, Filderstadt, Germany) with 3 µL and 6 µL of water droplets. For each surface, three identical droplets were deposited at different positions to assess surface homogeneity. The contact angle was extracted for both sides of each droplet, resulting in six measurements per sample. The mean CA values and standard deviations were calculated from this dataset.
A long-term stability study was also conducted by periodically remeasuring contact angles over 4 months after surface cleaning and storage in a dry environment.

3. Results

3.1. Surface Characterisation

SEM and profilometric analyses were performed on the femtosecond laser-textured aluminium moulds and their corresponding PDMS replicas to evaluate replication accuracy. A representative case is shown in Figure 1, where (a) displays the SEM image of the aluminium mould and (b) shows the corresponding PDMS replica (dₕ = 200 µm, Ns = 30). The mould’s engraved microstructure is clearly reproduced as a raised pattern on the PDMS surface.
For the grid geometries, an average relative replication error of 2.0 ± 0.4% was found.
For fully textured surfaces, a relative error of 1.2 ± 0.01% was found. For fully textured surfaces, a relative replication error of 1.2 ± 0.01% was obtained, while for LIPSS-patterned samples, the error was 6.0 ± 1.3%.

3.2. Wettability Characterisation

CA measurements on the PDMS replicas for the 3 µL and 6 µL droplets are reported in Figure 2.
LIPSS-textured surfaces exhibited enhanced wettability, though the improvement was less pronounced than that achieved with the grid structures.
All samples maintained stable hydrophobicity over four months without degradation, as shown in Figure 3.

4. Discussion

The results showed that femtosecond laser micromachining enabled precise control of aluminium mould morphology, allowing for systematic tuning of PDMS wettability after replication. The strong correlation between laser parameters (dₕ, Ns) and the resulting CA confirmed the key role played by both the lateral spacing and height of the surface morphologies in determining surface wetting behaviour.
As can be seen from Figure 2, at small hatch distances (dₕ < 30 µm), surfaces were fully textured, resulting in uniform hydrophobicity independently from the number of laser scans. As dₕ increased, grid geometries formed cavities that trapped air beneath droplets, consistent with the Cassie–Baxter model, leading to higher CAs and superhydrophobicity for Ns = 30–40 and dₕ = 300–500 µm. Beyond this range, larger cavities failed to sustain air pockets, causing a transition toward the Wenzel regime and a decrease in CA.
The wettability curves confirmed this trend, showing a CA maximum followed by decreasing and position-dependent values when dₕ became comparable to the droplet diameter, as the droplet contact area matched the grid cell size. Further increases in dₕ led the CA to return toward that of pristine PDMS. Larger droplets (6 µL) reached their maximum CA at smaller dₕ values compared to 3 µL droplets, as the contact area depends on droplet volume (Figure 2). Larger droplets cover a wider surface, interacting with more surface cavities and trapping greater amounts of air, thus achieving the superhydrophobic state earlier for the same laser parameters dₕ and Ns.
LIPSS-textured samples exhibited enhanced hydrophobicity compared to pristine PDMS but did not achieve the superhydrophobic regime due to their submicron-scale features, which were insufficient for stable air trapping. Nonetheless, the faithful replication of these nanostructures confirmed the precision of the laser-based moulding process and suggested that combining LIPSSs with microscale grids could yield hierarchical surfaces with improved performance.
Finally, the long-term stability of both hydrophobic and superhydrophobic states over four months demonstrated the durability and robustness of this coating-free surface modification approach.

5. Conclusions

Femtosecond laser texturing enabled the precise fabrication of aluminium moulds with well-defined micro- and nanostructures. The subsequent PDMS replication demonstrated excellent morphological fidelity and allowed for the fine-tuning of surface wettability through controlled variation in hatch distance and number of laser scans. Wettability tests confirmed that both micro- and nanoscale features effectively influenced the hydrophobic response of the replicated surfaces. Moreover, the long-term stability of the hydrophobic and superhydrophobic state over four months validated the durability and reliability of this coating-free fabrication strategy. Overall, the proposed method provided a scalable and robust route for engineering functional PDMS surfaces with tailored wetting behaviour. This durability, together with the scalability and reproducibility of femtosecond laser processing, highlighted the potential of this method for the industrial fabrication of functional PDMS surfaces in applications requiring controlled wettability, such as microfluidics, self-cleaning coatings, and biomedical devices.

Author Contributions

Conceptualization, S.C., C.G., F.P.M., A.A., P.P. and A.V.; Methodology, R.D.P., F.A.S., A.A., P.P., A.V. and A.V.; Software, S.C.; Validation, S.C.; Formal Analysis, S.C.; Investigation, S.C.; Resources, A.A., P.P. and A.V.; Data Curation, S.C.; Writing—Original Draft Preparation, S.C. and A.V.; Writing—Review and Editing, R.D.P., F.A.S., C.G., F.P.M., A.A., P.P. and A.V.; Supervision, R.D.P., C.G., F.P.M., A.A., P.P. and A.V.; Project Administration, A.A., A.V. and A.V.; Funding Acquisition, A.A. and A.V. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by MUR in the framework of the PRIN 2022 PNRR Project “Surface and Interface acoustic wave-driven Microfluidic devices BAsed on fs-laser technology for particle sorting (SIMBA)” (grant number: Prot. P2022LMRKB), and by the project “Quantum Sensing and Modeling for One-Health (QuaSiModO)” (CUP: H97G23000100001).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data supporting the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

Author Pietro Patimisco was employed by the company Polysense Innovations srl. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

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Figure 1. Representative SEM images of the laser-textured aluminium mould (a) and the corresponding replicated PDMS surface (b) for a hatch distance of 200 µm and Ns = 30. Different acquisition parameters were employed for aluminium moulds and PDMS replicas in order to optimise image quality for each material in the SEM image analysis, while ensuring consistency within each set of images. In Figure 1, aluminium moulds were imaged at an accelerating voltage of 4.0 kV, a working distance of 7.5 mm, and a magnification of 311×. PDMS replicas were imaged using an accelerating voltage of 6.0 kV, a working distance of 7.5 mm, and a magnification of 301×. Prior to SEM observation, PDMS samples were sputter-coated with a thin conductive gold layer to reduce charging effects, whereas aluminium moulds were analysed without additional coating.
Figure 1. Representative SEM images of the laser-textured aluminium mould (a) and the corresponding replicated PDMS surface (b) for a hatch distance of 200 µm and Ns = 30. Different acquisition parameters were employed for aluminium moulds and PDMS replicas in order to optimise image quality for each material in the SEM image analysis, while ensuring consistency within each set of images. In Figure 1, aluminium moulds were imaged at an accelerating voltage of 4.0 kV, a working distance of 7.5 mm, and a magnification of 311×. PDMS replicas were imaged using an accelerating voltage of 6.0 kV, a working distance of 7.5 mm, and a magnification of 301×. Prior to SEM observation, PDMS samples were sputter-coated with a thin conductive gold layer to reduce charging effects, whereas aluminium moulds were analysed without additional coating.
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Figure 2. Surface wettability trends for 3 µL and 6 µL droplets at varying d h values and N s of 30.
Figure 2. Surface wettability trends for 3 µL and 6 µL droplets at varying d h values and N s of 30.
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Figure 3. Time analysis of PDMS surface wettability replicated from femtosecond laser-textured aluminium moulds with dₕ = 500 µm. The plot shows contact angle (CA) over 120 days for samples fabricated with Ns = 5 (hydrophobic regime) in green and Ns = 30 (superhydrophobic regime) in light blue.
Figure 3. Time analysis of PDMS surface wettability replicated from femtosecond laser-textured aluminium moulds with dₕ = 500 µm. The plot shows contact angle (CA) over 120 days for samples fabricated with Ns = 5 (hydrophobic regime) in green and Ns = 30 (superhydrophobic regime) in light blue.
Materproc 26 00002 g003
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MDPI and ACS Style

Caragnano, S.; De Palo, R.; Sfregola, F.A.; Gaudiuso, C.; Mezzapesa, F.P.; Patimisco, P.; Ancona, A.; Volpe, A. Femtosecond Laser Micro- and Nanostructuring of Aluminium Moulds for Durable Superhydrophobic PDMS Surfaces. Mater. Proc. 2025, 26, 2. https://doi.org/10.3390/materproc2025026002

AMA Style

Caragnano S, De Palo R, Sfregola FA, Gaudiuso C, Mezzapesa FP, Patimisco P, Ancona A, Volpe A. Femtosecond Laser Micro- and Nanostructuring of Aluminium Moulds for Durable Superhydrophobic PDMS Surfaces. Materials Proceedings. 2025; 26(1):2. https://doi.org/10.3390/materproc2025026002

Chicago/Turabian Style

Caragnano, Stefania, Raffaele De Palo, Felice Alberto Sfregola, Caterina Gaudiuso, Francesco Paolo Mezzapesa, Pietro Patimisco, Antonio Ancona, and Annalisa Volpe. 2025. "Femtosecond Laser Micro- and Nanostructuring of Aluminium Moulds for Durable Superhydrophobic PDMS Surfaces" Materials Proceedings 26, no. 1: 2. https://doi.org/10.3390/materproc2025026002

APA Style

Caragnano, S., De Palo, R., Sfregola, F. A., Gaudiuso, C., Mezzapesa, F. P., Patimisco, P., Ancona, A., & Volpe, A. (2025). Femtosecond Laser Micro- and Nanostructuring of Aluminium Moulds for Durable Superhydrophobic PDMS Surfaces. Materials Proceedings, 26(1), 2. https://doi.org/10.3390/materproc2025026002

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