ReviewMicromachines2021
Computational Simulations in Advanced Microfluidic Devices: A Review.
Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Generation Mechanism and Reynolds Number Regulation of Multi-Peak Oscillatory Concentration Gradients in Multi-Layer Vertical-Stepped Microchannels.Micromachines · 2026Article
- Continuous Size-Based Particle Separation Using Inertial Force and Deterministic Lateral Displacement.Micromachines · 2026Article
- Enhancing Microparticle Separation Efficiency in Acoustofluidic Chips via Machine Learning and Numerical Modeling.Sensors (Basel, Switzerland) · 2025Article
- Numerical models for organ-on-a-chip: A systematic review and analyses.Biomicrofluidics · 2025Review
- Experimental and Numerical Study of Slug-Flow Velocity Inside Microchannels Through In Situ Optical Monitoring.Micromachines · 2025Article
- A microfluidic platform for anterior-posterior human endoderm patterning via countervailing morphogen gradientsiScience · 2025Article
- Enhancing the Design of Microdevices: The Role of Computational Fluid Dynamics and Experimental Investigation.Micromachines · 2025Article
- Development of a Widely Accessible, Advanced Large-Scale Microfluidic Airway-on-Chip.Bioengineering (Basel, Switzerland) · 2025Article
- Computational and experimental advances in liver-on-a-chip technology for cancer research: a systematic review.Biophysical reviews · 2025Review
- Integrating computational fluid dynamics into organ-on-chip systems: a glioblastoma-centred design and validation framework.Frontiers in bioengineering and biotechnology · 2025Review
- Modular and extendable 1D-simulation for microfluidic devices.Scientific reports · 2024Article
- Computational Fluid-Structure Interaction in Microfluidics.Micromachines · 2024Review
- Advances in Microfluidic Systems and Numerical Modeling in Biomedical Applications: A Review.Micromachines · 2024Review
- Computational Modeling as a Tool to Drive the Development of a Novel, Chemical Device for Monitoring the Injured Brain and Body.ACS chemical neuroscience · 2023Article
- Editorial for the Special Issue on Micro/Nanofluidic and Lab-on-a-Chip Devices for Biomedical Applications.Micromachines · 2022Article
- Diagnosis Methods for COVID-19: A Systematic Review.Micromachines · 2022Review
- Design and Modeling of a Microfluidic Coral Polyps Culture Chip with Concentration and Temperature Gradients.Micromachines · 2022Article
- Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system.Materials today. Bio · 2022Review
- Cell culture platform fabrication methods and applications.Tzu chi medical journalReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Numerical simulations have revolutionized research in several engineering areas by contributing to the understanding and improvement of several processes, being biomedical engineering one of them. Due to their potential, computational tools have gained visibility and have been increasingly used by several research groups as a supporting tool for the development of preclinical platforms as they allow studying, in a more detailed and faster way, phenomena that are difficult to study experimentally due to the complexity of biological processes present in these models-namely, heat transfer, shear stresses, diffusion processes, velocity fields, etc. There are several contributions already in the literature, and significant advances have been made in this field of research. This review provides the most recent progress in numerical studies on advanced microfluidic devices, such as organ-on-a-chip (OoC) devices, and how these studies can be helpful in enhancing our insight into the physical processes involved and in developing more effective OoC platforms. In general, it has been noticed that in some cases, the numerical studies performed have limitations that need to be improved, and in the majority of the studies, it is extremely difficult to replicate the data due to the lack of detail around the simulations carried out.
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.