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Cited by 262

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

An integrated dielectrophoretic chip for continuous bioparticle filtering, focusing, sorting, trapping, and detecting

Open access
Cheng, I-Fang, Chang, Hsien-Chang, Hou, Diana, Chang, Hsueh-Chia·2007·Biomicrofluidics
DOI 10.1063/1.2723669
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Abstract

Multi-target pathogen detection using heterogeneous medical samples require continuous filtering, sorting, and trapping of debris, bioparticles, and immunocolloids within a diagnostic chip. We present an integrated AC dielectrophoretic (DEP) microfluidic platform based on planar electrodes that form three-dimensional (3D) DEP gates. This platform can continuously perform these tasks with a throughput of 3 muLmin. Mixtures of latex particles, Escherichia coli Nissle, Lactobacillus, and Candida albicans are sorted and concentrated by these 3D DEP gates. Surface enhanced Raman scattering is used as an on-chip detection method on the concentrated bacteria. A processing rate of 500 bacteria was estimated when 100 mul of a heterogeneous colony of 10(7) colony forming units ml was processed in a single pass within 30 min.

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Metadata

Authors
Cheng, I.-F., Chang, H.-C., Hou, D., & Chang, H.-C.
Venue
Biomicrofluidics
Publisher
AIP Publishing
Published
2007-06
Volume
1
Issue
2
Pages
021503
ISSN
1932-1058 (ISSN-L)
DOI
10.1063/1.2723669
OpenAlex
W2061358930
Cited by
262
References
37
FWCI
13.94
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: An integrated dielectrophoretic chip for continuous bioparticle filtering, focusing, sorting, trapping, and detecting. https://app.cochat.ai/papers/10.1063/1.2723669
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Cheng, I.-F., Chang, H.-C., Hou, D., & Chang, H.-C. (2007). An integrated dielectrophoretic chip for continuous bioparticle filtering, focusing, sorting, trapping, and detecting. Biomicrofluidics. https://doi.org/10.1063/1.2723669

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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.