The DOI matches its Crossref record.
Digital Microfluidics
Abstract
Digital microfluidics (DMF) is an emerging liquid-handling technology that enables individual control over droplets on an open array of electrodes. These picoliter- to microliter-sized droplets, each serving as an isolated vessel for chemical processes, can be made to move, merge, split, and dispense from reservoirs. Because of its unique advantages, including simple instrumentation, flexible device geometry, and easy coupling with other technologies, DMF is being applied to a wide range of fields. In this review, we summarize the state of the art of DMF technology from the perspective of analytical chemistry in sections describing the theory of droplet actuation, device fabrication and integration, and applications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Wearable sensors: modalities, challenges, and prospects
Heikenfeld, J., Jajack, A., Rogers, J., Gutruf, P., Tian, L., Pan, T., Li, R., Khine, M., Kim, J., Wang, J., et al. (2018) · Lab on a Chip · doi:10.1039/c7lc00914c · Cited by 1,434
Advances in Microfluidic Materials, Functions, Integration, and Applications
Nge, P. N., Rogers, C. I., & Woolley, A. T. (2013) · Chemical Reviews · doi:10.1021/cr300337x · Cited by 958
Molecular Digital Data Storage Using DNA
Ceze, L., Nivala, J., & Strauss, K. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0125-3 · Cited by 551
Active droplet sorting in microfluidics: a review
Xi, H.-D., Zheng, H., Guo, W., Gañán-Calvo, A. M., Ai, Y., Tsao, C.-W., Zhou, J., Li, W., Huang, Y., Nguyen, N.-T., et al. (2017) · Lab on a Chip · doi:10.1039/c6lc01435f · Cited by 369
Recent Advances in Droplet Microfluidics
Ding, Y., Howes, P. D., & deMello, A. J. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b05047 · Cited by 357
Metadata
- Authors
- Choi, K., Ng, A. H. C., Fobel, R., & Wheeler, A. R.
- Venue
- Annual Review of Analytical Chemistry
- Publisher
- Annual Reviews
- Published
- 2012-07-19
- Volume
- 5
- Issue
- 1
- Pages
- 413-440
- ISSN
- 1936-1327 (ISSN-L)
- 1936-1335
- OpenAlex
- W4239130850
- Cited by
- 817
- References
- 0
- FWCI
- 3.86
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Digital Microfluidics. https://app.cochat.ai/papers/10.1146/annurev-anchem-062011-143028
- The paper
- Choi, K., Ng, A. H. C., Fobel, R., & Wheeler, A. R. (2012). Digital Microfluidics. Annual Review of Analytical Chemistry. https://doi.org/10.1146/annurev-anchem-062011-143028
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.