The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A millisecond micromixer via single-bubble-based acoustic streaming
Abstract
We present ultra-fast homogeneous mixing inside a microfluidic channel via single-bubble-based acoustic streaming. The device operates by trapping an air bubble within a "horse-shoe" structure located between two laminar flows inside a microchannel. Acoustic waves excite the trapped air bubble at its resonance frequency, resulting in acoustic streaming, which disrupts the laminar flows and triggers the two fluids to mix. Due to this technique's simple design, excellent mixing performance, and fast mixing speed (a few milliseconds), our single-bubble-based acoustic micromixer may prove useful for many biochemical studies 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
Cites
The origins and the future of microfluidics
Whitesides, G. M. (2006) · Nature · doi:10.1038/nature05058 · Cited by 9,687
Millisecond Kinetics on a Microfluidic Chip Using Nanoliters of Reagents
Song, H., & Ismagilov, R. F. (2003) · Journal of the American Chemical Society · doi:10.1021/ja0354566 · Cited by 693
Cited by
Rotational manipulation of single cells and organisms using acoustic waves
Ahmed, D., Ozcelik, A., Bojanala, N., Nama, N., Upadhyay, A., Chen, Y., Hanna-Rose, W., & Huang, T. J. (2016) · Nature Communications · doi:10.1038/ncomms11085 · Cited by 508
Self-citationHydrodynamic mechanisms of cell and particle trapping in microfluidics
Karimi, A., Yazdi, S., & Ardekani, A. M. (2013) · Biomicrofluidics · doi:10.1063/1.4799787 · Cited by 384
Metadata
- Authors
- Ahmed, D., Mao, X., Shi, J., Juluri, B. K., & Huang, T. J.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2009
- Volume
- 9
- Issue
- 18
- Pages
- 2738
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2169975370
- Cited by
- 415
- References
- 2
- FWCI
- 11.26
- 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: A millisecond micromixer via single-bubble-based acoustic streaming. https://app.cochat.ai/papers/10.1039/b903687c
- The paper
- Ahmed, D., Mao, X., Shi, J., Juluri, B. K., & Huang, T. J. (2009). A millisecond micromixer via single-bubble-based acoustic streaming. Lab on a Chip. https://doi.org/10.1039/b903687c
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.
