ArticlePolymers2022
High-Resolution 3D Printing Fabrication of a Microfluidic Platform for Blood Plasma Separation.
Article in Polymers, 2022. 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.
- Emerging Microfluidic Plasma Separation Technologies for Point-of-Care Diagnostics: Moving Beyond Conventional Centrifugation.Biosensors · 2025Review
- Advancing the Applications of 3D Printed Microfluidics: Utilizing Quantum Dots to Measure Internal Temperature.International journal of heat and mass transfer · 2025Article
- 3D Printed Microfluidic Devices for Integrated Immunoaffinity Extraction, Solid-Phase Extraction, and Fluorescent Labeling of Preterm Birth Biomarkers.Precision chemistry · 2025Article
- Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Review
- Craft-and-Stick Xurographic Manufacturing of Integrated Microfluidic Electrochemical Sensing Platform.Biosensors · 2023Article
- Microfluidic Organ-on-A-chip: A Guide to Biomaterial Choice and Fabrication.International journal of molecular sciences · 2023Review
- 3D printing-enabled uniform temperature distributions in microfluidic devices.Lab on a chip · 2022Article
- Recent Advancements in Nanobiosensors: Current Trends, Challenges, Applications, and Future Scope.Biosensors · 2022Review
- Microfluidic Manufacture of Lipid-Based Nanomedicines.Pharmaceutics · 2022Review
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.
Funding
Abstract
Additive manufacturing technology is an emerging method for rapid prototyping, which enables the creation of complex geometries by one-step fabrication processes through a layer-by-layer approach. The simplified fabrication achieved with this methodology opens the way towards a more efficient industrial production, with applications in a great number of fields such as biomedical devices. In biomedicine, blood is the gold-standard biofluid for clinical analysis. However, blood cells generate analytical interferences in many test procedures; hence, it is important to separate plasma from blood cells before analytical testing of blood samples. In this research, a custom-made resin formulation combined with a high-resolution 3D printing methodology were used to achieve a methodology for the fast prototype optimization of an operative plasma separation modular device. Through an iterative process, 17 different prototypes were designed and fabricated with printing times ranging from 5 to 12 min. The final device was evaluated through colorimetric analysis, validating this fabrication approach for the qualitative assessment of plasma separation from whole blood. The 3D printing method used here demonstrates the great contribution that this microfluidic technology will bring to the plasma separation biomedical devices market.
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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.