Evidence map›Paper›PMID 33569089›Full record

ReviewBiomicrofluidics2021

Increasing the packing density of assays in paper-based microfluidic devices.

Sajjad Rahmani Dabbagh, Elaina Becher, Fariba Ghaderinezhad, Hayati Havlucu, Oguzhan Ozcan, Mehmed Ozkan, Ali Kemal Yetisen, Savas Tasoglu

Open access · hybridAbstract readReview
In one paragraph

Review in Biomicrofluidics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Glioma-on-a-Chip Models.Micromachines · 2021
    Article
  11. Hemp-Based Microfluidics.Micromachines · 2021
    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

8 authors at 4 institutions in 3 countries.

Sajjad Rahmani DabbaghORCID 0000-0001-8888-6106
Elaina BecherDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, USA.
Fariba GhaderinezhadDepartment of Mechanical Engineering, University of Connecticut, Storrs, Connecticut 06269, USA.
Hayati HavlucuKoç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, Istanbul 34450, Turkey.
Oguzhan OzcanKoç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, Istanbul 34450, Turkey.
Mehmed OzkanBoğaziçi Institute of Biomedical Engineering, Boğaziçi University, Çengelköy, Istanbul 34684, Turkey.
Ali Kemal YetisenDepartment of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom.
Koç University · TRUniversity of Connecticut · USBoğaziçi University · TRImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paper-based devices have a wide range of applications in point-of-care diagnostics, environmental analysis, and food monitoring. Paper-based devices can be deployed to resource-limited countries and remote settings in developed countries. Paper-based point-of-care devices can provide access to diagnostic assays without significant user training to perform the tests accurately and timely. The market penetration of paper-based assays requires decreased device fabrication costs, including larger packing density of assays (i.e., closely packed features) and minimization of assay reagents. In this review, we discuss fabrication methods that allow for increasing packing density and generating closely packed features in paper-based devices. To ensure that the paper-based device is low-cost, advanced fabrication methods have been developed for the mass production of closely packed assays. These emerging methods will enable minimizing the volume of required samples (e.g., liquid biopsies) and reagents in paper-based microfluidic devices.

Identifiers

PMID33569089
PMCPMC7864678
OpenAlexW3128043657

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.