Evidence map›Paper›PMID 38298373›Full record

ReviewBiomicrofluidics2024

Engineering advancements in microfluidic systems for enhanced mixing at low Reynolds numbers.

Vamsi Vikram Gande, Prem K R Podupu, Bianca Berry, Nandkishor K Nere, S Pushpavanam, Meenesh R Singh

Abstract readReview
In one paragraph

Review in Biomicrofluidics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Vamsi Vikram GandeDepartment of Chemical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, USA.ORCID https://orcid.org/0000-0001-7210-0033
Prem K R PodupuDepartment of Chemical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, USA.ORCID https://orcid.org/0000-0003-0959-766X
Bianca BerryLaGrange Highlands Middle School, LaGrange Highlands, Illinois 60525, USA.ORCID https://orcid.org/0009-0003-9132-6208
S PushpavanamDepartment of Chemical Engineering, Indian Institute of Technology Madras, Chennai 600036, India.ORCID https://orcid.org/0000-0002-5782-0670
Meenesh R SinghDepartment of Chemical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, USA.ORCID https://orcid.org/0000-0002-3638-8866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixing within micro- and millichannels is a pivotal element across various applications, ranging from chemical synthesis to biomedical diagnostics and environmental monitoring. The inherent low Reynolds number flow in these channels often results in a parabolic velocity profile, leading to a broad residence time distribution. Achieving efficient mixing at such small scales presents unique challenges and opportunities. This review encompasses various techniques and strategies to evaluate and enhance mixing efficiency in these confined environments. It explores the significance of mixing in micro- and millichannels, highlighting its relevance for enhanced reaction kinetics, homogeneity in mixed fluids, and analytical accuracy. We discuss various mixing methodologies that have been employed to get a narrower residence time distribution. The role of channel geometry, flow conditions, and mixing mechanisms in influencing the mixing performance are also discussed. Various emerging technologies and advancements in microfluidic devices and tools specifically designed to enhance mixing efficiency are highlighted. We emphasize the potential applications of micro- and millichannels in fields of nanoparticle synthesis, which can be utilized for biological applications. Additionally, the prospects of machine learning and artificial intelligence are offered toward incorporating better mixing to achieve precise control over nanoparticle synthesis, ultimately enhancing the potential for applications in these miniature fluidic systems.

Identifiers

PMID38298373
PMCPMC10827338

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.