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Cited by 965

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

Industrial Upscaling of Electrospinning and Applications of Polymer Nanofibers: A Review

Open access
Persano, Luana, Camposeo, Andrea, Tekmen, Cagri, Pisignano, Dario·2013·Macromolecular Materials and Engineering

Abstract

Electrospun nanofibers are extensively studied and their potential applications are largely demonstrated. Today, electrospinning equipment and technological solutions, and electrospun materials are rapidly moving to commercialization. Dedicated companies supply laboratory and industrial‐scale components and apparatus for electrospinning, and others commercialize electrospun products. This paper focuses on relevant technological approaches developed by research, which show perspectives for scaling‐up and for fulfilling requirements of industrial production in terms of throughput, accuracy, and functionality of the realized nanofibers. A critical analysis is provided about technological weakness and strength points in combination with expected challenges from the market. magnified image

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Crossref · 10.1002/mame.201200290

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Metadata

Authors
Persano, L., Camposeo, A., Tekmen, C., & Pisignano, D.
Venue
Macromolecular Materials and Engineering
Publisher
Wiley
Published
2013-01-08
Volume
298
Issue
5
Pages
504-520
ISSN
  • 1438-7492 (ISSN-L)
  • 1439-2054
OpenAlex
W2047288490
Cited by
965
References
110
FWCI
25.28
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Industrial Upscaling of Electrospinning and Applications of Polymer Nanofibers: A Review. https://app.cochat.ai/papers/10.1002/mame.201200290
The paper
Persano, L., Camposeo, A., Tekmen, C., & Pisignano, D. (2013). Industrial Upscaling of Electrospinning and Applications of Polymer Nanofibers: A Review. Macromolecular Materials and Engineering. https://doi.org/10.1002/mame.201200290

Data sources

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.