ArticleBiomicrofluidics2019
Low frequency cyclical potentials for fine tuning insulator-based dielectrophoretic separations.
Article in Biomicrofluidics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Microfluidic-based electrically driven particle manipulation techniques for biomedical applications.RSC advances · 2025Review
- Biomedical Applications of Microfluidic Devices: A Review.Biosensors · 2022Review
- The latest advances on nonlinear insulator-based electrokinetic microsystems under direct current and low-frequency alternating current fields: a review.Analytical and bioanalytical chemistry · 2022Review
- Determination of Dielectric Properties of Cells using AC Electrokinetic-based Microfluidic Platform: A Review of Recent Advances.Micromachines · 2020Review
- Electrokinetic characterization of synthetic protein nanoparticles.Beilstein journal of nanotechnology · 2020Article
- Erratum: "Low frequency cyclical potentials for fine tuning insulator-based dielectrophoretic separations" [Biomicrofluidics 13, 044114 (2019)].Biomicrofluidics · 2019Article
- Festschrift for Professor Hsueh-Chia Chang.Biomicrofluidics · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we demonstrate the use of cyclical low frequency signals with insulator-based dielectrophoresis (iDEP) devices for the separation of particles of similar characteristics and an experimental method for estimating particle DEP mobilities. A custom signal designer program was created using Matlab® and COMSOL Multiphysics® for the identification of specific low frequency signals aimed at separating particle mixtures by exploiting slight differences in surface charge (particle zeta potential) or particle size. For the separation by surface charge, a mixture of two types of 10
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.