Evidence map›Paper›PMID 37763885›Full record

ReviewMicromachines2023

Particle Counting Methods Based on Microfluidic Devices.

Zenglin Dang, Yuning Jiang, Xin Su, Zhihao Wang, Yucheng Wang, Zhe Sun, Zheng Zhao, Chi Zhang, Yuming Hong, Zhijian Liu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Zenglin DangCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Yuning JiangCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Xin SuCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Zhihao WangCollege of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China.
Yucheng WangCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Zhe SunCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Zheng ZhaoCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Chi ZhangCollege of Transportation Engineering, Dalian Maritime University, Dalian 116026, China.
Yuming HongCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Zhijian LiuCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.

Funding

National Natural Science Foundation of China 2021RQ037
6 · The paper itself

Abstract

Particle counting serves as a pivotal constituent in diverse analytical domains, encompassing a broad spectrum of entities, ranging from blood cells and bacteria to viruses, droplets, bubbles, wear debris, and magnetic beads. Recent epochs have witnessed remarkable progressions in microfluidic chip technology, culminating in the proliferation and maturation of microfluidic chip-based particle counting methodologies. This paper undertakes a taxonomical elucidation of microfluidic chip-based particle counters based on the physical parameters they detect. These particle counters are classified into three categories: optical-based counters, electrical-based particle counters, and other counters. Within each category, subcategories are established to consider structural differences. Each type of counter is described not only in terms of its working principle but also the methods employed to enhance sensitivity and throughput. Additionally, an analysis of future trends related to each counter type is provided.

Indexed as

microfluidicsparticle countingsensitivitythroughput

Identifiers

PMID37763885
PMCPMC10534595

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.