ArticleMicrosystems & nanoengineering2019
On-chip structure-switching aptamer-modified magnetic nanobeads for the continuous monitoring of interferon-gamma ex vivo.
Article in Microsystems & nanoengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 42 citations in OpenAlex.
- Retention-Based, Dissociation-Sensitive Pre-Screening of Aptamers Using a Centrifugal Microspin Filter.Biosensors · 2026Article
- Transducer Systems Integrated into Organ-on-a-Chip Devices: From Detection to Fabrication.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Advancing protein biosensors: redefining detection through innovations in materials, mechanisms, and applications for precision medicine and global diagnostics.RSC advances · 2025Review
- Integration of secreted signaling molecule sensing on cell monitoring platforms: a critical review.Analytical and bioanalytical chemistry · 2024Review
- High-throughput precise particle transport at single-particle resolution in a three-dimensional magnetic field for highly sensitive bio-detection.Scientific reports · 2022Article
- A Review of Capillary Pressure Control Valves in Microfluidics.Biosensors · 2021Review
- Cytokines: From Clinical Significance to Quantification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- Point-of-care detection of cytokines in cytokine storm management and beyond: Significance and challenges.View (Beijing, China) · 2021Review
- Building Biomimetic Potency Tests for Islet Transplantation.Diabetes · 2021Review
- Translational control of enzyme scavenger expression with toxin-induced micro RNA switches.Scientific reports · 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
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cytokines are cell signaling molecules that indicate the health status of the body. In this study, we developed a microfluidic device integrated with structure-switching aptamers capable of continuously tracking the concentration of the cytokine interferon gamma (IFN-γ) in cell culture medium and blood serum. First, a ferrocene (Fc)-labeled structure-switching signaling aptamer with a hairpin structure targeting IFN-γ was immobilized on magnetic nanobeads by the strongest noncovalent interactions between streptavidin and biotin. The aptamer-modified magnetic nanobeads were trapped on a customized microfluidic chip by a magnetic field to form the sensing interface. The binding of IFN-γ could trigger the hairpin structure of the aptamer to unfold, pushing Fc redox molecules away from the sensing interface and consequently switching off the electrochemical signal. The change in the redox current of Fc was quantitatively related to the concentration of IFN-γ in a linear range of 10-500 pg mL
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.