ArticleThe Analyst2013
An AC electrokinetics facilitated biosensor cassette for rapid pathogen identification.
Article in The Analyst, 2013. 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, 29 citations in OpenAlex.
- Combinatorial nanodroplet platform for screening antibiotic combinations.Lab on a chip · 2022Article
- Article
- Microliter Sample Insulin Detection Using a Screen-Printed Electrode Modified by Nickel Hydroxide.ACS omega · 2020Article
- A Multiplex Electrochemical Biosensor for Bloodstream Infection Diagnosis.SLAS technology · 2017Article
- New and developing diagnostic technologies for urinary tract infections.Nature reviews. Urology · 2017Review
- Integrated Biosensor Assay for Rapid Uropathogen Identification and Phenotypic Antimicrobial Susceptibility Testing.European urology focus · 2017Article
- AC Electrokinetics of Physiological Fluids for Biomedical Applications.Journal of laboratory automation · 2015Review
- Development of a Biosensor-Based Rapid Urine Test for Detection of Urogenital Schistosomiasis.PLoS neglected tropical diseases · 2015Article
- Distinctive translational and self-rotational motion of lymphoma cells in an optically induced non-rotational alternating current electric field.Biomicrofluidics · 2015Article
- Rapid antimicrobial susceptibility testing with electrokinetics enhanced biosensors for diagnosis of acute bacterial infections.Annals of biomedical engineering · 2014Article
- Improving the binding efficiency of quartz crystal microbalance biosensors by applying the electrothermal effect.Biomicrofluidics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
To develop a portable point-of-care system based on biosensors for common infectious diseases such as urinary tract infection, the sensing process needs to be implemented within an enclosed fluidic system. On chip sample preparation of clinical samples remains a significant obstacle to achieving robust sensor performance. Herein AC electrokinetics is applied in an electrochemical biosensor cassette to enhance molecular convection and hybridization efficiency through electrokinetics induced fluid motion and Joule heating induced temperature elevation. Using E. coli as an exemplary pathogen, we determined the optimal electrokinetic parameters for detecting bacterial 16S rRNA in the biosensor cassette based on the current output, signal-to-noise ratio, and limit of detection. In addition, a panel of six probe sets targeting common uropathogenic bacteria was demonstrated. The optimized parameters were also validated using patient-derived clinical urine samples. The effectiveness of electrokinetics for on chip sample preparation will facilitate the implementation of point-of-care diagnosis of urinary tract infection in the future.
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.