Evidence map›Paper›PMID 35232280›Full record

ArticleJournal of the Royal Society, Interface2022

On the design of particle filters inspired by animal noses.

Jisoo Yuk, Aneek Chakraborty, Shyuan Cheng, Chun-I Chung, Ashley Jorgensen, Saikat Basu, Leonardo P Chamorro, Sunghwan Jung

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. The diversity of biological models for bio-inspired aerosol filters.Journal of the Royal Society, Interface · 2025
    Review
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. On the design of particle filters inspired by animal noses.Journal of the Royal Society, Interface · 2022
    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 2 countries.

Jisoo YukDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, NY 14850, USA.
Aneek ChakrabortyDepartment of Mechanical Engineering, Jadavpur University, Kolkata, West Bengal 700032, India.
Shyuan ChengDepartment of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA.
Chun-I ChungDepartment of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA.
Ashley JorgensenDepartment of Mechanical Engineering, South Dakota State University, Brookings, SD 57007, USA.
Saikat BasuDepartment of Mechanical Engineering, South Dakota State University, Brookings, SD 57007, USA.
Leonardo P ChamorroDepartment of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA.
Sunghwan JungDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, NY 14850, USA.ORCID 0000-0002-1420-7921
University of Illinois Urbana-Champaign · USCornell University · USSouth Dakota State University · USJadavpur University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Passive filtering is a common strategy to reduce airborne disease transmission and particulate contaminants across scales spanning orders of magnitude. The engineering of high-performance filters with relatively low flow resistance but high virus- or particle-blocking efficiency is a non-trivial problem of paramount relevance, as evidenced in the variety of industrial filtration systems and face masks. Next-generation industrial filters and masks should retain sufficiently small droplets and aerosols while having low resistance. We introduce a novel 3D-printable particle filter inspired by animals' complex nasal anatomy. Unlike standard random-media-based filters, the proposed concept relies on equally spaced channels with tortuous airflow paths. These two strategies induce distinct effects: a reduced resistance and a high likelihood of particle trapping by altering their trajectories with tortuous paths and induced local flow instability. The structures are tested for pressure drop and particle filtering efficiency over different airflow rates. We have also cross-validated the observed efficiency through numerical simulations. We found that the designed filters exhibit a lower pressure drop, compared to commercial masks and filters, while capturing particles bigger than approximately 10 μm. Our findings could facilitate a novel and scalable filter concept inspired by animal noses.

Indexed as

FiltrationAerosolsAnimalsParticle SizeAerosolsanimal noseparticle capturepassive filter

Identifiers

PMID35232280
PMCPMC8889202
OpenAlexW4214849295

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.