The DOI matches its Crossref record.
Microfluidic large-scale integration on a chip for mass production of monodisperse droplets and particles
Abstract
In this study, we report the mass production of monodisperse emulsion droplets and particles using microfluidic large-scale integration on a chip. The production module comprises a glass microfluidic chip with planar microfabricated 16-256 droplet-formation units (DFUs) and a palm-sized stainless steel holder having several layers for supplying liquids into the inlets of the mounted chip. By using a module having 128 cross-junctions (i.e., 256 DFUs) arranged circularly on a 4 cm x 4 cm chip, we could produce droplets of photopolymerizable acrylate monomer at a throughput of 320.0 mL h(-1). The product was monodisperse, having a mean diameter of 96.4 microm, with a coefficient of variation (CV) of 1.3%. Subsequent UV polymerization off the module yielded monodisperse acrylic microspheres at a throughput of approximately 0.3 kg h(-1). Another module having 128 co-flow geometries could produce biphasic Janus droplets of black and white segments at 128.0 mL h(-1). The product had a mean diameter of 142.3 microm, with a CV of 3.3%. This co-flow module could also be applied in the mass production of homogeneous monomer droplets.
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
Cambié, D., Bottecchia, C., Straathof, N. J. W., Hessel, V., & Noël, T. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00707 · Cited by 1,502
Hydrogel microparticles for biomedical applications
Daly, A. C., Riley, L., Segura, T., & Burdick, J. A. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0148-6 · Cited by 1,249
Passive and active droplet generation with microfluidics: a review
Zhu, P., & Wang, L. (2017) · Lab on a Chip · doi:10.1039/c6lc01018k · Cited by 1,238
Seemann, R., Brinkmann, M., Pfohl, T., & Herminghaus, S. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/1/016601 · Cited by 1,049
The Synthesis and Assembly of Polymeric Microparticles Using Microfluidics
Dendukuri, D., & Doyle, P. S. (2009) · Advanced Materials · doi:10.1002/adma.200803386 · Cited by 654
Metadata
- Authors
- Nisisako, T., & Torii, T.
- Venue
- Lab Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2008
- Volume
- 8
- Issue
- 2
- Pages
- 287-293
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2012874220
- Cited by
- 415
- References
- 0
- FWCI
- 14.63
- 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: Microfluidic large-scale integration on a chip for mass production of monodisperse droplets and particles. https://app.cochat.ai/papers/10.1039/b713141k
- The paper
- Nisisako, T., & Torii, T. (2008). Microfluidic large-scale integration on a chip for mass production of monodisperse droplets and particles. Lab Chip. https://doi.org/10.1039/b713141k
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.