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Cited by 160

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Extrusion-Based 3D Printing of Microfluidic Devices for Chemical and Biomedical Applications: A Topical Review

Open access
Pranzo, Daniela, Larizza, Piero, Filippini, Daniel, Percoco, Gianluca·2018·Micromachines

Abstract

One of the most widespread additive manufacturing (AM) technologies is fused deposition modelling (FDM), also known as fused filament fabrication (FFF) or extrusion-based AM. The main reasons for its success are low costs, very simple machine structure, and a wide variety of available materials. However, one of the main limitations of the process is its accuracy and finishing. In spite of this, FDM is finding more and more applications, including in the world of micro-components. In this world, one of the most interesting topics is represented by microfluidic reactors for chemical and biomedical applications. The present review focusses on this research topic from a process point of view, describing at first the platforms and materials and then deepening the most relevant applications.

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Crossref · 10.3390/mi9080374

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Metadata

Authors
Pranzo, D., Larizza, P., Filippini, D., & Percoco, G.
Venue
Micromachines
Publisher
MDPI AG
Published
2018-07-27
Volume
9
Issue
8
Pages
374
ISSN
2072-666X (ISSN-L)
OpenAlex
W2883043629
Cited by
160
References
3
FWCI
9.46
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Extrusion-Based 3D Printing of Microfluidic Devices for Chemical and Biomedical Applications: A Topical Review. https://app.cochat.ai/papers/10.3390/mi9080374
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Pranzo, D., Larizza, P., Filippini, D., & Percoco, G. (2018). Extrusion-Based 3D Printing of Microfluidic Devices for Chemical and Biomedical Applications: A Topical Review. Micromachines. https://doi.org/10.3390/mi9080374

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.