The DOI matches its Crossref record; 258 of the 258 references it cites were found in a registry or an index.
Microfluidic Paper-Based Analytical Devices: From Design to Applications
Abstract
Microfluidic paper-based analytical devices (μPADs) have garnered significant interest as a promising analytical platform in the past decade. Compared with traditional microfluidics, μPADs present unique advantages, such as easy fabrication using established patterning methods, economical cost, ability to drive and manipulate flow without equipment, and capability of storing reagents for various applications. This Review aims to provide a comprehensive review of the field, highlighting fabrication methods available to date with their respective advantages and drawbacks, device designs and modifications to accommodate different assay needs, detection strategies, and the growing applications of μPADs. Finally, we discuss how the field needs to continue moving forward to realize its full potential.
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Cites
The Dynamics of Capillary Flow
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Patterned Paper as a Platform for Inexpensive, Low‐Volume, Portable Bioassays
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Electrochemiluminescence (ECL)
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Genome Composition and Divergence of the Novel Coronavirus (2019-nCoV) Originating in China
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Understanding Wax Printing: A Simple Micropatterning Process for Paper-Based Microfluidics
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Cited by
Machine learning at the edge for AI-enabled multiplexed pathogen detection
Ganjalizadeh, V., Meena, G. G., Stott, M. A., Hawkins, A. R., & Schmidt, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-31694-6 · Cited by 24
Metadata
- Authors
- Noviana, E., Ozer, T., Carrell, C. S., Link, J. S., McMahon, C., Jang, I., & Henry, C. S.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-06-14
- Volume
- 121
- Issue
- 19
- Pages
- 11835-11885
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W3170545736
- Cited by
- 631
- References
- 258
- FWCI
- 10.60
- Type
- journal article
- Language
- en
- Open access
- closed
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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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