Evidence map›Paper›PMID 35406195›Full record

ArticlePolymers2022

Biodegradation of PBSA Films by Elite

Hsiao-Lin Chien, Yi-Ting Tsai, Wei-Sung Tseng, Jin-An Wu, Shin-Liang Kuo, Sheng-Lung Chang, Shu-Jiuan Huang, Chi-Te Liu

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Seawater Biodegradable Poly(butylene succinate-Materials (Basel, Switzerland) · 2023
    Article
  12. 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

8 authors at 2 institutions in 1 country.

Hsiao-Lin ChienInstitute of Biotechnology, National Taiwan University, Taipei 106, Taiwan.
Yi-Ting TsaiInstitute of Biotechnology, National Taiwan University, Taipei 106, Taiwan.
Wei-Sung TsengInstitute of Biotechnology, National Taiwan University, Taipei 106, Taiwan.
Jin-An WuMaterial and Chemical Research Laboratories, Industrial Technology Research Institute, Hsinchu 300, Taiwan.
Shin-Liang KuoMaterial and Chemical Research Laboratories, Industrial Technology Research Institute, Hsinchu 300, Taiwan.
Sheng-Lung ChangMaterial and Chemical Research Laboratories, Industrial Technology Research Institute, Hsinchu 300, Taiwan.
Shu-Jiuan HuangMaterial and Chemical Research Laboratories, Industrial Technology Research Institute, Hsinchu 300, Taiwan.
Chi-Te LiuInstitute of Biotechnology, National Taiwan University, Taipei 106, Taiwan.ORCID 0000-0001-8656-5050
Industrial Technology Research Institute · TWNational Taiwan University · TW

Funding

Ministry of Science and Technology 108-2313-B-002-058-MY3Ministry of Science and Technology MOST 109-2321-B-005-027
6 · The paper itself

Abstract

Plastic films are widely used in current agricultural practices; however, most mulch films used are discarded and buried in the land after harvest, having adverse environmental impacts. To solve this environmental problem, the demand for biodegradable mulch has been increasing in recent years. Polybutylene succinate-co-adipate (PBSA) is a biodegradable polymer with good ductility and can be used for packaging and mulching. In this study, we isolated two elite fungal strains for PBSA degradation from farmlands, i.e.,

Indexed as

Aspergillusbiodegradationecotoxicitylipolytic enzymephytotoxicitypolybutylene succinate-co-adipate (PBSA)

Identifiers

PMID35406195
PMCPMC9002719
OpenAlexW4220979665

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.