ReviewMicromachines2020
A Prominent Cell Manipulation Technique in BioMEMS: Dielectrophoresis.
Review in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
11 citing papers in PubMed.
- Origami nanogap electrodes for reversible nanoparticle trapping.Nanoscale · 2024Article
- Pre-enrichment-free detection of hepatocellular carcinoma-specific ctDNA via PDMS and MEMS-based microfluidic sensor.Mikrochimica acta · 2024Article
- Electrokinetic Manipulation of Biological Cells towards Biotechnology Applications.Micromachines · 2024Article
- OpenDEP: An Open-Source Platform for Dielectrophoresis Spectra Acquisition and Analysis.ACS omega · 2023Article
- Spheroid Engineering in Microfluidic Devices.ACS omega · 2023Review
- Label-Free Enrichment of Circulating Tumor Plasma Cells: Future Potential Applications of Dielectrophoresis in Multiple Myeloma.International journal of molecular sciences · 2022Review
- Analytical Modeling of a New Compliant Microsystem for Atherectomy Operations.Micromachines · 2022Article
- Microelectromechanical Systems (MEMS) for Biomedical Applications.Micromachines · 2022Review
- Evaluating carbon-electrode dielectrophoresis under the ASSURED criteria.Frontiers in medical technology · 2022Article
- Separation of Heterotrophic MicroalgaeFrontiers in bioengineering and biotechnology · 2022Article
- Editorial for the Special Issue on Biosensors and MEMS-Based Diagnostic Applications.Micromachines · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
BioMEMS, the biological and biomedical applications of micro-electro-mechanical systems (MEMS), has attracted considerable attention in recent years and has found widespread applications in disease detection, advanced diagnosis, therapy, drug delivery, implantable devices, and tissue engineering. One of the most essential and leading goals of the BioMEMS and biosensor technologies is to develop point-of-care (POC) testing systems to perform rapid prognostic or diagnostic tests at a patient site with high accuracy. Manipulation of particles in the analyte of interest is a vital task for POC and biosensor platforms. Dielectrophoresis (DEP), the induced movement of particles in a non-uniform electrical field due to polarization effects, is an accurate, fast, low-cost, and marker-free manipulation technique. It has been indicated as a promising method to characterize, isolate, transport, and trap various particles. The aim of this review is to provide fundamental theory and principles of DEP technique, to explain its importance for the BioMEMS and biosensor fields with detailed references to readers, and to identify and exemplify the application areas in biosensors and POC devices. Finally, the challenges faced in DEP-based systems and the future prospects are discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.