Evidence map›Paper›PMID 36014285›Full record

ReviewMicromachines2022

Modular Microfluidics: Current Status and Future Prospects.

Xiaochen Lai, Mingpeng Yang, Hao Wu, Dachao Li

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  9. Review
  10. New 3D Spiral Microfluidic Platform Tested for FeMolecules (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Review
  13. Article
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  17. Review
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  19. Article
  20. Modular microfluidics for life sciences.Journal of nanobiotechnology · 2023
    Review
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

4 authors at 2 institutions in 1 country.

Xiaochen LaiSchool of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Mingpeng YangSchool of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China.ORCID 0000-0001-8181-0248
Hao WuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China.
Dachao LiState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China.
Nanjing University of Information Science and Technology · CNTianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review mainly studies the development status, limitations, and future directions of modular microfluidic systems. Microfluidic technology is an important tool platform for scientific research and plays an important role in various fields. With the continuous development of microfluidic applications, conventional monolithic microfluidic chips show more and more limitations. A modular microfluidic system is a system composed of interconnected, independent modular microfluidic chips, which are easy to use, highly customizable, and on-site deployable. In this paper, the current forms of modular microfluidic systems are classified and studied. The popular fabrication techniques for modular blocks, the major application scenarios of modular microfluidics, and the limitations of modular techniques are also discussed. Lastly, this review provides prospects for the future direction of modular microfluidic technologies.

Indexed as

modular microfluidicson-demand deploymentorgans-on-a-chiprapid prototypingreconfigurationreusability

Identifiers

PMID36014285
PMCPMC9414757
OpenAlexW4292583771

What OpenQuestion 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 OpenQuestion graph.