The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Integration of paper-based microfluidic devices with commercial electrochemical readers
Open accessAbstract
The combination of simple Electrochemical Micro-Paper-based Analytical Devices (EµPADs) with commercially available glucometers allows rapid, quantitative electrochemical analysis of a number of compounds relevant to human health (e.g., glucose, cholesterol, lactate, and alcohol) in blood or urine.
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Citations
Cites
Electrochemical Glucose Sensors and Their Applications in Diabetes Management
Heller, A., & Feldman, B. (2008) · Chemical Reviews · doi:10.1021/cr068069y · Cited by 1,707
Cited by
Using personal glucose meters and functional DNA sensors to quantify a variety of analytical targets
Xiang, Y., & Lu, Y. (2011) · Nature Chemistry · doi:10.1038/nchem.1092 · Cited by 677
Turning the Page: Advancing Paper-Based Microfluidics for Broad Diagnostic Application
Gong, M. M., & Sinton, D. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00024 · Cited by 573
Universal mobile electrochemical detector designed for use in resource-limited applications
Nemiroski, A., Christodouleas, D. C., Hennek, J. W., Kumar, A. A., Maxwell, E. J., Fernández-Abedul, M. T., & Whitesides, G. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405679111 · Cited by 285
Self-citationMicro Total Analysis Systems for Cell Biology and Biochemical Assays
Kovarik, M. L., Gach, P. C., Ornoff, D. M., Wang, Y., Balowski, J., Farrag, L., & Allbritton, N. L. (2012) · Analytical Chemistry · doi:10.1021/ac202611x · Cited by 270
Metadata
- Authors
- Nie, Z., Deiss, F., Liu, X., Akbulut, O., & Whitesides, G. M.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 10
- Issue
- 22
- Pages
- 3163
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2117000555
- Cited by
- 481
- References
- 1
- FWCI
- 20.02
- Type
- journal article
- Language
- en
- Open access
- green
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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.