Evidence map›Paper›PMID 34102612›Full record

ArticleBiofabrication2021

Green electrospinning for biomaterials and biofabrication.

Christopher Z Mosher, Philip A P Brudnicki, Zhengxiang Gong, Hannah R Childs, Sang Won Lee, Romare M Antrobus, Elisa C Fang, Theanne N Schiros, Helen H Lu

Open access · greenAbstract read
In one paragraph

Article in Biofabrication, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Environmental and Ecological Monitoring with Biodegradable Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Micro and nanotechnologies: The little formulations that could.Bioengineering & translational medicine · 2023
    Review
  20. Biodegradable Electrospun Nanofiber Membranes as Promising Candidates for the Development of Face Masks.International journal of environmental research and public health · 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

9 authors at 2 institutions in 1 country.

Christopher Z MosherBiomaterials and Interface Tissue Engineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10027, United States of America.ORCID 0000-0002-9329-7290
Philip A P BrudnickiBiomaterials and Interface Tissue Engineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10027, United States of America.ORCID 0000-0003-0286-7209
Zhengxiang GongBiomaterials and Interface Tissue Engineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10027, United States of America.
Hannah R ChildsBiomaterials and Interface Tissue Engineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10027, United States of America.ORCID 0000-0002-0491-7321
Sang Won LeeBiomaterials and Interface Tissue Engineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10027, United States of America.ORCID 0000-0003-2948-4099
Romare M AntrobusBiomaterials and Interface Tissue Engineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10027, United States of America.ORCID 0000-0001-8880-8861
Elisa C FangBiomaterials and Interface Tissue Engineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10027, United States of America.
Theanne N SchirosMaterials Research Science and Engineering Center, Columbia University, New York, NY 10027, United States of America.
Helen H LuBiomaterials and Interface Tissue Engineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY 10027, United States of America.ORCID 0000-0002-6488-2060
Interface (United States) · USColumbia University · US

Funding

Integrated Cartilage RepairR01AR073529 · NIAMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LU, HELEN H · 2018 to 2022
$1.8M
Combination CD-Fluorescence Polarization Spectrophotometer for the Columbia Precision Biomolecular Characterization FacilityS10OD025102 · OD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HUNT, JOHN FRANCIS · 2018 to 2018
$138k
NIAMS NIH HHS R01 AR073529NIH HHS S10 OD025102
6 · The paper itself

Abstract

Green manufacturing has emerged across industries, propelled by a growing awareness of the negative environmental and health impacts associated with traditional practices. In the biomaterials industry, electrospinning is a ubiquitous fabrication method for producing nano- to micro-scale fibrous meshes that resemble native tissues, but this process traditionally utilizes solvents that are environmentally hazardous and pose a significant barrier to industrial scale-up and clinical translation. Applying sustainability principles to biomaterial production, we have developed a 'green electrospinning' process by systematically testing biologically benign solvents (U.S. Food and Drug Administration Q3C Class 3), and have identified acetic acid as a green solvent that exhibits low ecological impact (global warming potential (GWP) = 1.40 CO

Indexed as

BioprintingBiocompatible MaterialsElastic ModulusPolymersTensile StrengthTissue EngineeringTissue ScaffoldsBiocompatible MaterialsPolymersbiofabricationbiomaterialsfibergreen electrospinninggreen manufacturingscaffoldtissue engineering

Identifiers

PMID34102612
PMCPMC8344371
OpenAlexW3166991028

What OpenQuestion holds

Textmetadata
LicenceTDM
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.