Evidence map›Paper›PMID 32635554›Full record

ArticlePolymers2020

Conversion of Starchy Waste Streams into Polyhydroxyalkanoates Using

Silvia Brojanigo, Elettra Parro, Tiziano Cazzorla, Lorenzo Favaro, Marina Basaglia, Sergio Casella

Abstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. Article
  6. A Review on EnhancingFrontiers in bioengineering and biotechnology · 2022
    Review
  7. Review
  8. Review
  9. Article
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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

6 authors.

Silvia BrojanigoDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Agripolis, 35020 Legnaro (PD), Italy.ORCID 0000-0002-0413-4730
Elettra ParroDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Agripolis, 35020 Legnaro (PD), Italy.
Tiziano CazzorlaDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Agripolis, 35020 Legnaro (PD), Italy.
Lorenzo FavaroDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Agripolis, 35020 Legnaro (PD), Italy.ORCID 0000-0002-5650-4422
Marina BasagliaDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Agripolis, 35020 Legnaro (PD), Italy.ORCID 0000-0002-5232-5822
Sergio CasellaDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Agripolis, 35020 Legnaro (PD), Italy.

Funding

Università degli Studi di Padova BIRD187814/18Università degli Studi di Padova DOR1824847/18Università degli Studi di Padova DOR1827441/18Università degli Studi di Padova DOR1931153/19
6 · The paper itself

Abstract

Due to oil shortage and environmental problems, synthetic plastics have to be replaced by different biodegradable materials. A promising alternative could be polyhydroxyalkanoates (PHAs), and the low-cost abundant agricultural starchy by-products could be usefully converted into PHAs by properly selected and/or developed microbes. Among the widely available starchy waste streams, a variety of residues have been explored as substrates, such as broken, discolored, unripe rice and white or purple sweet potato waste.

Indexed as

3HBlow-cost carbon sourceoptimized saccharificationpolyhydroxyalkanoatessimultaneous saccharification and fermentationstarchy waste

Identifiers

PMID32635554
PMCPMC7407217

What OpenQuestion holds

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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.