Evidence map›Paper›PMID 36438986›Full record

ArticleMicrosystems & nanoengineering2022

Droplet digital microfluidic system for screening filamentous fungi based on enzymatic activity.

Kenza Samlali, Chiara Leal Alves, Mara Jezernik, Steve C C Shih

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2022. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Environmental Adaptation Strategies of Deep-Sea Fungi.Journal of fungi (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Article
  5. Innovative Advances in Droplet Microfluidics.Research (Washington, D.C.) · 2025
    Review
  6. Microbial single-cell applications under anoxic conditions.Applied and environmental microbiology · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Droplet-Based Microfluidics: Applications in Pharmaceuticals.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  12. Article
  13. 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

4 authors.

Kenza SamlaliDepartment of Electrical and Computer Engineering, Concordia University, Montréal, QC Canada.
Chiara Leal AlvesDepartment of Electrical and Computer Engineering, Concordia University, Montréal, QC Canada.
Mara JezernikDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON Canada.
Steve C C ShihDepartment of Electrical and Computer Engineering, Concordia University, Montréal, QC Canada.ORCID 0000-0003-3540-0808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal cell-wall-degrading enzymes have great utility in the agricultural and food industries. These cell-wall-degrading enzymes are known to have functions that can help defend against pathogenic organisms. The existing methods used to discover these enzymes are not well adapted to fungi culture and morphology, which prevents the proper evaluation of these enzymes. We report the first droplet-based microfluidic method capable of long-term incubation and low-voltage conditions to sort filamentous fungi inside nanoliter-sized droplets. The new method was characterized and validated in solid-phase media based on colloidal chitin such that the incubation of single spores in droplets was possible over multiple days (2-4 days) and could be sorted without droplet breakage. With long-term culture, we examined the activity of cell-wall-degrading enzymes produced by fungi during solid-state droplet fermentation using three highly sensitive fluorescein-based substrates. We also used the low-voltage droplet sorter to select clones with highly active cell-wall-degrading enzymes, such as chitinases, β-glucanases, and β-N-acetylgalactosaminidases, from a filamentous fungi droplet library that had been incubated for >4 days. The new system is portable, affordable for any laboratory, and user-friendly compared to classical droplet-based microfluidic systems. We propose that this system will be useful for the growing number of scientists interested in fungal microbiology who are seeking high-throughput methods to incubate and sort a large library of fungal cells.

Indexed as

ChemistryEngineering

Identifiers

PMID36438986
PMCPMC9681769

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.