Evidence map›Paper›PMID 34821680›Full record

ReviewBiosensors2021

Progress of Microfluidic Continuous Separation Techniques for Micro-/Nanoscale Bioparticles.

Se-Woon Choe, Bumjoo Kim, Minseok Kim

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 41 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Se-Woon ChoeDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea.ORCID 0000-0002-7298-4147
Bumjoo KimDepartment of Mechanical Engineering and Automotive Engineering, Kongju National University, Cheonan 1223-24, Korea.
Minseok KimDepartment of Mechanical System Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea.ORCID 0000-0003-4539-4309
Kumoh National Institute of Technology · KRKongju National University · KR

Funding

Kumoh National Institute of Technology 2019104028
6 · The paper itself

Abstract

Separation of micro- and nano-sized biological particles, such as cells, proteins, and nucleotides, is at the heart of most biochemical sensing/analysis, including in vitro biosensing, diagnostics, drug development, proteomics, and genomics. However, most of the conventional particle separation techniques are based on membrane filtration techniques, whose efficiency is limited by membrane characteristics, such as pore size, porosity, surface charge density, or biocompatibility, which results in a reduction in the separation efficiency of bioparticles of various sizes and types. In addition, since other conventional separation methods, such as centrifugation, chromatography, and precipitation, are difficult to perform in a continuous manner, requiring multiple preparation steps with a relatively large minimum sample volume is necessary for stable bioprocessing. Recently, microfluidic engineering enables more efficient separation in a continuous flow with rapid processing of small volumes of rare biological samples, such as DNA, proteins, viruses, exosomes, and even cells. In this paper, we present a comprehensive review of the recent advances in microfluidic separation of micro-/nano-sized bioparticles by summarizing the physical principles behind the separation system and practical examples of biomedical applications.

Indexed as

MicrofluidicsDNAExosomesNanoparticlesPorosityProteinsVirusesDNAProteinsbioparticlesbiosample preparationbiosensorsmicrofluidicsseparation

Identifiers

PMID34821680
PMCPMC8615634
OpenAlexW3211783370

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.