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Cited by 278

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

PDMS lab-on-a-chip fabrication using 3D printed templates

Open access
Comina, Germán, Suska, Anke, Filippini, Daniel·2014·Lab Chip

Abstract

The fabrication of conventional PDMS on glass lab-on-a-chip (LOC) devices, using templates printed with a commercial (2299 US$) micro-stereo lithography 3D printer, is demonstrated. Printed templates replace clean room and photolithographic fabrication resources and deliver resolutions of 50 μm, and up to 10 μm in localized hindrances, whereas the templates are smooth enough to allow direct transfer and proper sealing to glass substrates. 3D printed templates accommodate multiple thicknesses, from 50 μm up to several mm within the same template, with no additional processing cost or effort. This capability is exploited to integrate silicone tubing easily, to improve micromixer performance and to produce multilevel fluidics with simple access to independent functional surfaces, which is illustrated by time-resolved glucose detection. The templates are reusable, can be fabricated in under 20 min, with an average cost of 0.48 US$, which promotes broader access to established LOC configurations with minimal fabrication requirements, relieves LOC fabrication from design skills and provides a versatile LOC development platform.

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Crossref · 10.1039/c3lc50956g

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Metadata

Authors
Comina, G., Suska, A., & Filippini, D.
Venue
Lab Chip
Published
2014
Volume
14
Issue
2
Pages
424-430
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W2016834507
Cited by
278
References
14
FWCI
11.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: PDMS lab-on-a-chip fabrication using 3D printed templates. https://app.cochat.ai/papers/10.1039/c3lc50956g
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Comina, G., Suska, A., & Filippini, D. (2014). PDMS lab-on-a-chip fabrication using 3D printed templates. Lab Chip. https://doi.org/10.1039/c3lc50956g

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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