What to Wear: The Filtration Performance of Alternative Materials Used to Construct Do-It-Yourself Masks Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.4209/aaqr.200633
The COVID-19 pandemic has shown that much of the world, including the United States, is ill-prepared for the material demands of a global crisis. In response to this shortage of Personal Protective Equipment (PPE), we have conducted filtration efficiency and pressure drop testing of a range of common materials used for constructing do-it-yourself masks, including an allergen filter, a vacuum bag, a heavy-duty tool wipe, and a standard cotton bandana, as well as a standard 3-ply surgical mask, a medical drape and an industrially available composite filter material. Size-resolved percent penetration of each material by particles with diameters ranging from 25 to 500 nm was measured at three face velocities (0.72 cm s−1, 4.30 cm s−1, 13.0 cm s−1). The allergen filter performed best, only allowing the penetration of 5% ± 3% of the 300 nm particles through the material at a face velocity of 13.0 cm s−1, comparable to human breathing during heavy physical work. In comparison, the surgical mask and the cotton bandana allowed 39 ± 1% and 51% ± 1% of the 300 nm particles to pass through at the same face velocity, respectively. According to the calculated filter quality, the best choices for mask construction are the allergen filter, industrial composite filter, and the vacuum bag. Structure and morphology of the materials were characterized by scanning electron microscopy (SEM), image analysis, and thickness measurements to investigate physical characteristics which improve filtration. This study shows that certain household and commercially available materials and combinations can be used in the construction of highly effective face masks.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4209/aaqr.200633
- https://aaqr.org/articles/aaqr-20-11-covid-0633.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3156834694
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3156834694Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4209/aaqr.200633Digital Object Identifier
- Title
-
What to Wear: The Filtration Performance of Alternative Materials Used to Construct Do-It-Yourself MasksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Jessica A. Mirrielees, Bo Chen, Michael R. Moreno, Sarah D. BrooksList of authors in order
- Landing page
-
https://doi.org/10.4209/aaqr.200633Publisher landing page
- PDF URL
-
https://aaqr.org/articles/aaqr-20-11-covid-0633.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://aaqr.org/articles/aaqr-20-11-covid-0633.pdfDirect OA link when available
- Concepts
-
Materials science, Filtration (mathematics), Respirator, Filter (signal processing), Economic shortage, Pressure drop, Composite material, Nanotechnology, Process engineering, Computer science, Mechanics, Engineering, Physics, Computer vision, Linguistics, Statistics, Philosophy, Government (linguistics), MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- References (count)
-
56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3156834694 |
|---|---|
| doi | https://doi.org/10.4209/aaqr.200633 |
| ids.doi | https://doi.org/10.4209/aaqr.200633 |
| ids.mag | 3156834694 |
| ids.openalex | https://openalex.org/W3156834694 |
| fwci | 0.17687324 |
| type | article |
| title | What to Wear: The Filtration Performance of Alternative Materials Used to Construct Do-It-Yourself Masks |
| biblio.issue | 8 |
| biblio.volume | 21 |
| biblio.last_page | 200633 |
| biblio.first_page | 200633 |
| topics[0].id | https://openalex.org/T10990 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9986000061035156 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2740 |
| topics[0].subfield.display_name | Pulmonary and Respiratory Medicine |
| topics[0].display_name | Infection Control and Ventilation |
| topics[1].id | https://openalex.org/T11296 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9370999932289124 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2730 |
| topics[1].subfield.display_name | Oncology |
| topics[1].display_name | COVID-19 and healthcare impacts |
| topics[2].id | https://openalex.org/T12163 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9259999990463257 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Aerosol Filtration and Electrostatic Precipitation |
| is_xpac | False |
| apc_list.value | 300 |
| apc_list.currency | USD |
| apc_list.value_usd | 300 |
| apc_paid.value | 300 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 300 |
| concepts[0].id | https://openalex.org/C192562407 |
| concepts[0].level | 0 |
| concepts[0].score | 0.6511456370353699 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[0].display_name | Materials science |
| concepts[1].id | https://openalex.org/C128489963 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5907040238380432 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1187724 |
| concepts[1].display_name | Filtration (mathematics) |
| concepts[2].id | https://openalex.org/C158816027 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5548994541168213 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q271779 |
| concepts[2].display_name | Respirator |
| concepts[3].id | https://openalex.org/C106131492 |
| concepts[3].level | 2 |
| concepts[3].score | 0.46113765239715576 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q3072260 |
| concepts[3].display_name | Filter (signal processing) |
| concepts[4].id | https://openalex.org/C194051981 |
| concepts[4].level | 3 |
| concepts[4].score | 0.45398253202438354 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1337691 |
| concepts[4].display_name | Economic shortage |
| concepts[5].id | https://openalex.org/C114088122 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4324692189693451 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1261069 |
| concepts[5].display_name | Pressure drop |
| concepts[6].id | https://openalex.org/C159985019 |
| concepts[6].level | 1 |
| concepts[6].score | 0.40117016434669495 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q181790 |
| concepts[6].display_name | Composite material |
| concepts[7].id | https://openalex.org/C171250308 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3441043496131897 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11468 |
| concepts[7].display_name | Nanotechnology |
| concepts[8].id | https://openalex.org/C21880701 |
| concepts[8].level | 1 |
| concepts[8].score | 0.34018951654434204 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2144042 |
| concepts[8].display_name | Process engineering |
| concepts[9].id | https://openalex.org/C41008148 |
| concepts[9].level | 0 |
| concepts[9].score | 0.14318197965621948 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[9].display_name | Computer science |
| concepts[10].id | https://openalex.org/C57879066 |
| concepts[10].level | 1 |
| concepts[10].score | 0.1296156644821167 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q41217 |
| concepts[10].display_name | Mechanics |
| concepts[11].id | https://openalex.org/C127413603 |
| concepts[11].level | 0 |
| concepts[11].score | 0.10165777802467346 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[11].display_name | Engineering |
| concepts[12].id | https://openalex.org/C121332964 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0928587019443512 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[12].display_name | Physics |
| concepts[13].id | https://openalex.org/C31972630 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[13].display_name | Computer vision |
| concepts[14].id | https://openalex.org/C41895202 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[14].display_name | Linguistics |
| concepts[15].id | https://openalex.org/C105795698 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[15].display_name | Statistics |
| concepts[16].id | https://openalex.org/C138885662 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[16].display_name | Philosophy |
| concepts[17].id | https://openalex.org/C2778137410 |
| concepts[17].level | 2 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q2732820 |
| concepts[17].display_name | Government (linguistics) |
| concepts[18].id | https://openalex.org/C33923547 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[18].display_name | Mathematics |
| keywords[0].id | https://openalex.org/keywords/materials-science |
| keywords[0].score | 0.6511456370353699 |
| keywords[0].display_name | Materials science |
| keywords[1].id | https://openalex.org/keywords/filtration |
| keywords[1].score | 0.5907040238380432 |
| keywords[1].display_name | Filtration (mathematics) |
| keywords[2].id | https://openalex.org/keywords/respirator |
| keywords[2].score | 0.5548994541168213 |
| keywords[2].display_name | Respirator |
| keywords[3].id | https://openalex.org/keywords/filter |
| keywords[3].score | 0.46113765239715576 |
| keywords[3].display_name | Filter (signal processing) |
| keywords[4].id | https://openalex.org/keywords/economic-shortage |
| keywords[4].score | 0.45398253202438354 |
| keywords[4].display_name | Economic shortage |
| keywords[5].id | https://openalex.org/keywords/pressure-drop |
| keywords[5].score | 0.4324692189693451 |
| keywords[5].display_name | Pressure drop |
| keywords[6].id | https://openalex.org/keywords/composite-material |
| keywords[6].score | 0.40117016434669495 |
| keywords[6].display_name | Composite material |
| keywords[7].id | https://openalex.org/keywords/nanotechnology |
| keywords[7].score | 0.3441043496131897 |
| keywords[7].display_name | Nanotechnology |
| keywords[8].id | https://openalex.org/keywords/process-engineering |
| keywords[8].score | 0.34018951654434204 |
| keywords[8].display_name | Process engineering |
| keywords[9].id | https://openalex.org/keywords/computer-science |
| keywords[9].score | 0.14318197965621948 |
| keywords[9].display_name | Computer science |
| keywords[10].id | https://openalex.org/keywords/mechanics |
| keywords[10].score | 0.1296156644821167 |
| keywords[10].display_name | Mechanics |
| keywords[11].id | https://openalex.org/keywords/engineering |
| keywords[11].score | 0.10165777802467346 |
| keywords[11].display_name | Engineering |
| keywords[12].id | https://openalex.org/keywords/physics |
| keywords[12].score | 0.0928587019443512 |
| keywords[12].display_name | Physics |
| language | en |
| locations[0].id | doi:10.4209/aaqr.200633 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S103097414 |
| locations[0].source.issn | 1680-8584, 2071-1409 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1680-8584 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Aerosol and Air Quality Research |
| locations[0].source.host_organization | https://openalex.org/P4310322187 |
| locations[0].source.host_organization_name | Taiwan Association for Aerosol Research |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310322187 |
| locations[0].source.host_organization_lineage_names | Taiwan Association for Aerosol Research |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://aaqr.org/articles/aaqr-20-11-covid-0633.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Aerosol and Air Quality Research |
| locations[0].landing_page_url | https://doi.org/10.4209/aaqr.200633 |
| locations[1].id | pmh:oai:doaj.org/article:cb71a766f8e6456ab2cf9c3560f67f75 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Aerosol and Air Quality Research, Vol 21, Iss 8, Pp 1-22 (2021) |
| locations[1].landing_page_url | https://doaj.org/article/cb71a766f8e6456ab2cf9c3560f67f75 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5025802726 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2678-3720 |
| authorships[0].author.display_name | Jessica A. Mirrielees |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I91045830 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA |
| authorships[0].institutions[0].id | https://openalex.org/I91045830 |
| authorships[0].institutions[0].ror | https://ror.org/01f5ytq51 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I91045830 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Texas A&M University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Jessica A. Mirrielees |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA |
| authorships[1].author.id | https://openalex.org/A5100427400 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-0587-0446 |
| authorships[1].author.display_name | Bo Chen |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I91045830 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA |
| authorships[1].institutions[0].id | https://openalex.org/I91045830 |
| authorships[1].institutions[0].ror | https://ror.org/01f5ytq51 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I91045830 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Texas A&M University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Bo Chen |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA |
| authorships[2].author.id | https://openalex.org/A5060808318 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9078-6649 |
| authorships[2].author.display_name | Michael R. Moreno |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I91045830 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Mechanical Engineering, Texas A&M University, College Station, TX 77840, USA |
| authorships[2].institutions[0].id | https://openalex.org/I91045830 |
| authorships[2].institutions[0].ror | https://ror.org/01f5ytq51 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I91045830 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Texas A&M University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Michael R. Moreno |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Mechanical Engineering, Texas A&M University, College Station, TX 77840, USA |
| authorships[3].author.id | https://openalex.org/A5027226586 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-8185-9332 |
| authorships[3].author.display_name | Sarah D. Brooks |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I91045830 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA |
| authorships[3].institutions[0].id | https://openalex.org/I91045830 |
| authorships[3].institutions[0].ror | https://ror.org/01f5ytq51 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I91045830 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Texas A&M University |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Sarah D. Brooks |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://aaqr.org/articles/aaqr-20-11-covid-0633.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | What to Wear: The Filtration Performance of Alternative Materials Used to Construct Do-It-Yourself Masks |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10990 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9986000061035156 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2740 |
| primary_topic.subfield.display_name | Pulmonary and Respiratory Medicine |
| primary_topic.display_name | Infection Control and Ventilation |
| related_works | https://openalex.org/W2363546392, https://openalex.org/W2056283708, https://openalex.org/W2364457563, https://openalex.org/W2899187613, https://openalex.org/W4256265858, https://openalex.org/W2007893648, https://openalex.org/W2357060372, https://openalex.org/W2555738719, https://openalex.org/W3204157405, https://openalex.org/W4200614507 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.4209/aaqr.200633 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S103097414 |
| best_oa_location.source.issn | 1680-8584, 2071-1409 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1680-8584 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Aerosol and Air Quality Research |
| best_oa_location.source.host_organization | https://openalex.org/P4310322187 |
| best_oa_location.source.host_organization_name | Taiwan Association for Aerosol Research |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310322187 |
| best_oa_location.source.host_organization_lineage_names | Taiwan Association for Aerosol Research |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://aaqr.org/articles/aaqr-20-11-covid-0633.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Aerosol and Air Quality Research |
| best_oa_location.landing_page_url | https://doi.org/10.4209/aaqr.200633 |
| primary_location.id | doi:10.4209/aaqr.200633 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S103097414 |
| primary_location.source.issn | 1680-8584, 2071-1409 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1680-8584 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Aerosol and Air Quality Research |
| primary_location.source.host_organization | https://openalex.org/P4310322187 |
| primary_location.source.host_organization_name | Taiwan Association for Aerosol Research |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310322187 |
| primary_location.source.host_organization_lineage_names | Taiwan Association for Aerosol Research |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://aaqr.org/articles/aaqr-20-11-covid-0633.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Aerosol and Air Quality Research |
| primary_location.landing_page_url | https://doi.org/10.4209/aaqr.200633 |
| publication_date | 2021-01-01 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W3022691957, https://openalex.org/W2186012875, https://openalex.org/W1984150661, https://openalex.org/W2996829064, https://openalex.org/W1843114467, https://openalex.org/W2161354557, https://openalex.org/W2063252837, https://openalex.org/W4319431855, https://openalex.org/W3016989327, https://openalex.org/W4320164095, https://openalex.org/W3010318647, https://openalex.org/W3044599607, https://openalex.org/W4205205640, https://openalex.org/W2122701663, https://openalex.org/W2144372795, https://openalex.org/W2125146823, https://openalex.org/W3014271510, https://openalex.org/W4392145873, https://openalex.org/W3011752970, https://openalex.org/W2122839539, https://openalex.org/W2085955325, https://openalex.org/W2051689964, https://openalex.org/W2790777821, https://openalex.org/W2115677301, https://openalex.org/W2110719456, https://openalex.org/W3126094352, https://openalex.org/W3024625724, https://openalex.org/W1988509273, https://openalex.org/W2162318273, https://openalex.org/W3012099172, https://openalex.org/W3012860637, https://openalex.org/W2257632633, https://openalex.org/W654145139, https://openalex.org/W3013893137, https://openalex.org/W2890269687, https://openalex.org/W3041267450, https://openalex.org/W1979542247, https://openalex.org/W3029827942, https://openalex.org/W6772996879, https://openalex.org/W3005542961, https://openalex.org/W2045572633, https://openalex.org/W3018363786, https://openalex.org/W2548597430, https://openalex.org/W1999273822, https://openalex.org/W3027495495, https://openalex.org/W3001897055, https://openalex.org/W2513967391, https://openalex.org/W2151223065, https://openalex.org/W2514449086, https://openalex.org/W2040363935, https://openalex.org/W3037703276, https://openalex.org/W2524568173, https://openalex.org/W1963771454, https://openalex.org/W3025082056, https://openalex.org/W2330129230, https://openalex.org/W2883087999 |
| referenced_works_count | 56 |
| abstract_inverted_index.a | 22, 45, 59, 62, 67, 74, 79, 142 |
| abstract_inverted_index.1% | 169, 173 |
| abstract_inverted_index.25 | 101 |
| abstract_inverted_index.3% | 132 |
| abstract_inverted_index.39 | 167 |
| abstract_inverted_index.5% | 130 |
| abstract_inverted_index.In | 25, 157 |
| abstract_inverted_index.an | 56, 83 |
| abstract_inverted_index.as | 71, 73 |
| abstract_inverted_index.at | 107, 141, 182 |
| abstract_inverted_index.be | 249 |
| abstract_inverted_index.by | 95, 219 |
| abstract_inverted_index.cm | 112, 115, 118, 147 |
| abstract_inverted_index.in | 251 |
| abstract_inverted_index.is | 15 |
| abstract_inverted_index.nm | 104, 136, 177 |
| abstract_inverted_index.of | 8, 21, 30, 44, 47, 92, 129, 133, 145, 174, 214, 254 |
| abstract_inverted_index.to | 27, 102, 150, 179, 189, 229 |
| abstract_inverted_index.we | 35 |
| abstract_inverted_index.± | 131, 168, 172 |
| abstract_inverted_index.300 | 135, 176 |
| abstract_inverted_index.500 | 103 |
| abstract_inverted_index.51% | 171 |
| abstract_inverted_index.The | 1, 120 |
| abstract_inverted_index.and | 40, 66, 82, 162, 170, 207, 212, 226, 242, 246 |
| abstract_inverted_index.are | 200 |
| abstract_inverted_index.can | 248 |
| abstract_inverted_index.for | 17, 51, 197 |
| abstract_inverted_index.has | 4 |
| abstract_inverted_index.the | 9, 12, 18, 127, 134, 139, 159, 163, 175, 183, 190, 194, 201, 208, 215, 252 |
| abstract_inverted_index.was | 105 |
| abstract_inverted_index.13.0 | 117, 146 |
| abstract_inverted_index.4.30 | 114 |
| abstract_inverted_index.This | 236 |
| abstract_inverted_index.bag, | 61 |
| abstract_inverted_index.bag. | 210 |
| abstract_inverted_index.best | 195 |
| abstract_inverted_index.drop | 42 |
| abstract_inverted_index.each | 93 |
| abstract_inverted_index.face | 109, 143, 185, 257 |
| abstract_inverted_index.from | 100 |
| abstract_inverted_index.have | 36 |
| abstract_inverted_index.mask | 161, 198 |
| abstract_inverted_index.much | 7 |
| abstract_inverted_index.only | 125 |
| abstract_inverted_index.pass | 180 |
| abstract_inverted_index.same | 184 |
| abstract_inverted_index.that | 6, 239 |
| abstract_inverted_index.this | 28 |
| abstract_inverted_index.tool | 64 |
| abstract_inverted_index.used | 50, 250 |
| abstract_inverted_index.well | 72 |
| abstract_inverted_index.were | 217 |
| abstract_inverted_index.with | 97 |
| abstract_inverted_index.(0.72 | 111 |
| abstract_inverted_index.3-ply | 76 |
| abstract_inverted_index.best, | 124 |
| abstract_inverted_index.drape | 81 |
| abstract_inverted_index.heavy | 154 |
| abstract_inverted_index.human | 151 |
| abstract_inverted_index.image | 224 |
| abstract_inverted_index.mask, | 78 |
| abstract_inverted_index.range | 46 |
| abstract_inverted_index.shown | 5 |
| abstract_inverted_index.shows | 238 |
| abstract_inverted_index.study | 237 |
| abstract_inverted_index.three | 108 |
| abstract_inverted_index.which | 233 |
| abstract_inverted_index.wipe, | 65 |
| abstract_inverted_index.work. | 156 |
| abstract_inverted_index.(PPE), | 34 |
| abstract_inverted_index.(SEM), | 223 |
| abstract_inverted_index.United | 13 |
| abstract_inverted_index.common | 48 |
| abstract_inverted_index.cotton | 69, 164 |
| abstract_inverted_index.during | 153 |
| abstract_inverted_index.filter | 87, 122, 192 |
| abstract_inverted_index.global | 23 |
| abstract_inverted_index.highly | 255 |
| abstract_inverted_index.masks, | 54 |
| abstract_inverted_index.masks. | 258 |
| abstract_inverted_index.s−1, | 113, 116, 148 |
| abstract_inverted_index.vacuum | 60, 209 |
| abstract_inverted_index.world, | 10 |
| abstract_inverted_index.States, | 14 |
| abstract_inverted_index.allowed | 166 |
| abstract_inverted_index.bandana | 165 |
| abstract_inverted_index.certain | 240 |
| abstract_inverted_index.choices | 196 |
| abstract_inverted_index.crisis. | 24 |
| abstract_inverted_index.demands | 20 |
| abstract_inverted_index.filter, | 58, 203, 206 |
| abstract_inverted_index.improve | 234 |
| abstract_inverted_index.medical | 80 |
| abstract_inverted_index.percent | 90 |
| abstract_inverted_index.ranging | 99 |
| abstract_inverted_index.s−1). | 119 |
| abstract_inverted_index.testing | 43 |
| abstract_inverted_index.through | 138, 181 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.COVID-19 | 2 |
| abstract_inverted_index.Personal | 31 |
| abstract_inverted_index.allergen | 57, 121, 202 |
| abstract_inverted_index.allowing | 126 |
| abstract_inverted_index.bandana, | 70 |
| abstract_inverted_index.electron | 221 |
| abstract_inverted_index.material | 19, 94, 140 |
| abstract_inverted_index.measured | 106 |
| abstract_inverted_index.pandemic | 3 |
| abstract_inverted_index.physical | 155, 231 |
| abstract_inverted_index.pressure | 41 |
| abstract_inverted_index.quality, | 193 |
| abstract_inverted_index.response | 26 |
| abstract_inverted_index.scanning | 220 |
| abstract_inverted_index.shortage | 29 |
| abstract_inverted_index.standard | 68, 75 |
| abstract_inverted_index.surgical | 77, 160 |
| abstract_inverted_index.velocity | 144 |
| abstract_inverted_index.According | 188 |
| abstract_inverted_index.Equipment | 33 |
| abstract_inverted_index.Structure | 211 |
| abstract_inverted_index.analysis, | 225 |
| abstract_inverted_index.available | 85, 244 |
| abstract_inverted_index.breathing | 152 |
| abstract_inverted_index.composite | 86, 205 |
| abstract_inverted_index.conducted | 37 |
| abstract_inverted_index.diameters | 98 |
| abstract_inverted_index.effective | 256 |
| abstract_inverted_index.household | 241 |
| abstract_inverted_index.including | 11, 55 |
| abstract_inverted_index.material. | 88 |
| abstract_inverted_index.materials | 49, 216, 245 |
| abstract_inverted_index.particles | 96, 137, 178 |
| abstract_inverted_index.performed | 123 |
| abstract_inverted_index.thickness | 227 |
| abstract_inverted_index.velocity, | 186 |
| abstract_inverted_index.Protective | 32 |
| abstract_inverted_index.calculated | 191 |
| abstract_inverted_index.comparable | 149 |
| abstract_inverted_index.efficiency | 39 |
| abstract_inverted_index.filtration | 38 |
| abstract_inverted_index.heavy-duty | 63 |
| abstract_inverted_index.industrial | 204 |
| abstract_inverted_index.microscopy | 222 |
| abstract_inverted_index.morphology | 213 |
| abstract_inverted_index.velocities | 110 |
| abstract_inverted_index.comparison, | 158 |
| abstract_inverted_index.filtration. | 235 |
| abstract_inverted_index.investigate | 230 |
| abstract_inverted_index.penetration | 91, 128 |
| abstract_inverted_index.combinations | 247 |
| abstract_inverted_index.commercially | 243 |
| abstract_inverted_index.constructing | 52 |
| abstract_inverted_index.construction | 199, 253 |
| abstract_inverted_index.ill-prepared | 16 |
| abstract_inverted_index.industrially | 84 |
| abstract_inverted_index.measurements | 228 |
| abstract_inverted_index.Size-resolved | 89 |
| abstract_inverted_index.characterized | 218 |
| abstract_inverted_index.respectively. | 187 |
| abstract_inverted_index.do-it-yourself | 53 |
| abstract_inverted_index.characteristics | 232 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.49057635 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |