ArticleSensors (Basel, Switzerland)2020
3D-Printed Flow Cells for Aptamer-Based Impedimetric Detection of
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 42 citations in OpenAlex.
- Bioprinting of Nanocellulose Hydrogels for Photobiocatalysis Under Continuous Flow.ACS sustainable chemistry & engineering · 2026Article
- A Review on 3D-Printed Miniaturized Devices for Point-of-Care-Testing Applications.Biosensors · 2025Review
- Simultaneous and sensitive detection ofFrontiers in bioengineering and biotechnology · 2025Article
- 3D Printing in Biocatalysis and Biosensing: From General Concepts to Practical Applications.Chemistry, an Asian journal · 2024Review
- 3D-Printed Microfluidic Perfusion System for Parallel Monitoring of Hydrogel-Embedded Cell Cultures.Cells · 2023Article
- Development of silver nanoparticles and aptamer conjugated biosensor for rapid detection of3 Biotech · 2023Article
- Lab-on-a-Chip Electrochemical Biosensors for Foodborne Pathogen Detection: A Review of Common Standards and Recent Progress.Biosensors · 2023Review
- 3D printing in biotechnology-An insight into miniaturized and microfluidic systems for applications from cell culture to bioanalytics.Engineering in life sciences · 2022Review
- Label-free electrochemical microfluidic biosensors: futuristic point-of-care analytical devices for monitoring diseases.Mikrochimica acta · 2022Review
- Development of Electrochemical Aptasensor for Lung Cancer Diagnostics in Human Blood.Sensors (Basel, Switzerland) · 2021Article
- Label-Free Electrochemical Sensor for Rapid Bacterial Pathogen Detection Using Vancomycin-Modified Highly Branched Polymers.Sensors (Basel, Switzerland) · 2021Article
- 3D-printed microfluidics integrated with optical nanostructured porous aptasensors for protein detection.Mikrochimica acta · 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
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Electrochemical spectroscopy enables rapid, sensitive, and label-free analyte detection without the need of extensive and laborious labeling procedures and sample preparation. In addition, with the emergence of commercially available screen-printed electrodes (SPEs), a valuable, disposable alternative to costly bulk electrodes for electrochemical (bio-)sensor applications was established in recent years. However, applications with bare SPEs are limited and many applications demand additional/supporting structures or flow cells. Here, high-resolution 3D printing technology presents an ideal tool for the rapid and flexible fabrication of tailor-made, experiment-specific systems. In this work, flow cells for SPE-based electrochemical (bio-)sensor applications were designed and 3D printed. The successful implementation was demonstrated in an aptamer-based impedimetric biosensor approach for the detection of
Indexed as
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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.